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Staff Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU’LL DO: - Be the DS tech lead across multiple product and business teams : setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. - Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know. - Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. - Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders. - Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING: - 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. - Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels. - Proven experience designing reusable analytics and measurement frameworks that scale across products. - Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces). - Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. - Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus). - Experience with FinTech, payments, crypto, or blockchain data is a strong plus. - Advanced degree (MS, PhD) in a quantitative field preferred. - Exceptional communication skills — able to turn technical depth into executive-ready narratives. WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Senior Staff Data Scientist
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and levelling up data scientists across teams. WHAT YOU’LL DO: - Be the DS tech lead across multiple product and business teams : setting methodological standards and unblocking the hardest analytical problems across areas including Treasury, Markets, Custody, and XRPL. - Partner with product and business leads to define analytics strategy : shaping which initiatives to invest in, what success looks like, and how we'll know. - Build the scientific frameworks Ripple reuses at scale : product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. - Pioneer AI-accelerated analytics : applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. - Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. - Define and communicate the metrics leadership runs on : translating complex results into clear narratives for Ripple executives and external stakeholders. - Raise the bar for the DS function through thought leadership and mentorship across embedded teams. WHAT YOU'LL BRING: - 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. - Demonstrated technical leadership across cross-functional teams , influencing roadmaps and strategy at both executive and execution levels. - Proven experience designing reusable analytics and measurement frameworks that scale across products. - Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces). - Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. - Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus). - Experience with FinTech, payments, crypto, or blockchain data is a strong plus. - Advanced degree (MS, PhD) in a quantitative field preferred. - Exceptional communication skills — able to turn technical depth into executive-ready narratives. For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. CA Annual Base Salary Range $1 - $2 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Revenue Strategy & Operations
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for someone to join our team in Revenue Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. Each Revenue Strategy & Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness. - Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting. - Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area. - Data-Driven Strategy - Oversee analytics and performance analyses across their associated functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement. - Reporting & Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence , delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - 4+ years of Revenue Operations at high-growth technology companies - Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution. - Can break complex problems into smaller, actionable solution steps - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma) - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Highly adaptable, with a proactive approach to problem-solving and process improvement. - Strong coachability and willingness to learn and adapt to new challenges. What we offer - High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) - Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings. - Continuous growth : Collaborate with AI leaders, shape your path, and contribute where you excel most. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Revenue Strategy & Operations - LATAM
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for someone to join our team in Revenue Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. Each Revenue Strategy & Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness. - Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting. - Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area. - Data-Driven Strategy - Oversee analytics and performance analyses across their associated functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement. - Reporting & Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - 4+ years of Revenue Operations at high-growth technology companies - Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution. - Can break complex problems into smaller, actionable solution steps - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma) - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Highly adaptable, with a proactive approach to problem-solving and process improvement. - Strong coachability and willingness to learn and adapt to new challenges. What we offer - High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) - Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings. - Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Revenue Strategy & Operations - EMEA
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role We’re looking for someone to join our team in Revenue Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. Each Revenue Strategy & Operations team member serves as a dedicated partner to a specific go-to-market function, whether that's SDRs, AEs, Partnerships, or Account Management. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams to drive initiatives that enhance revenue generation and operational effectiveness. - Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting. - Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area. - Data-Driven Strategy - Oversee analytics and performance analyses across their associated functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement. - Reporting & Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - 4+ years of Revenue Operations at high-growth technology companies - Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution. - Can break complex problems into smaller, actionable solution steps - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma) - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Highly adaptable, with a proactive approach to problem-solving and process improvement. - Strong coachability and willingness to learn and adapt to new challenges. What we offer - High-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) - Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings. - Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Director, Clinical Pharmacology
Your work will change lives. Including your own. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. - Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external stakeholders - Demonstrated experience responding to regulatory agency questions, preparing clinical pharmacology aspects of regulatory submissions and attending regulatory meetings. - Highly motivated, decisive, and results-oriented individual who is proactive, resourceful, and efficient with the flexibility and creativity to excel in and contribute to a rapidly growing drug discovery and development company Experience in oncology is preferred, but not an absolute requirement. Working Location & Compensation: Making SLC or NYC your home base is ideal; however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $234,190–$287,980 - Salt Lake City & all other U.S. locations: $212,900–$261,800 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $212,900 to $297,000 . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. LI-ES1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Systems Integration Manager | Consumer Devices
About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Systems Integration team is critical in this mission, turning complex hardware-software development into reliable product signals. We build the shared infrastructure, tooling, and lab environments that let teams test quickly, understand failures, and ship with confidence. About the Role As a Systems Integration Manager , you will lead the team responsible for device validation infrastructure, test automation, developer tooling, and lab operations. This is a player-coach leadership role: you’ll set technical and operational direction, build and develop a team of engineers and lab operations professionals, and stay close to the architecture and hardest systems problems. You will partner closely with device software, OS, firmware, hardware, reliability, QA, and release infrastructure teams to define validation strategy, improve release readiness, and ensure our test environments and quality signals scale with the product. Because this is a new category of devices, you’ll have the rare opportunity to build the validation foundation early—shaping the systems, standards, and operating model that will support products from prototype through launch. We’re looking for a leader who combines strong technical judgment with people leadership, operational rigor, and experience building reliable systems for complex hardware-software products. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead and grow the team: Hire, manage, mentor, and develop engineers and lab operations staff responsible for test infrastructure, automation, device labs, and release validation. - Own validation strategy and release quality: Define the systems, processes, release criteria, metrics, and escalation mechanisms used to assess reliability and readiness across software, firmware, and hardware; drive improvements in test reliability, failure triage, and regression management. - Build scalable test infrastructure: Guide the development of a stable, all-purpose testing platform, automated test frameworks, hardware-in-the-loop systems, device orchestration, diagnostics, and developer tooling—while balancing dedicated rigs for technology-specific testing needs. - Scale lab and fleet operations: Ensure large-scale device fleets, test rigs, lab infrastructure, provisioning, maintenance, and capacity remain reliable and ready for engineering use; develop the processes, documentation, ownership models, and vendor partnerships needed to grow efficiently with the organization. - Set priorities and roadmap: Balance near-term release needs with longer-term investments in infrastructure, automation, scalability, and operational efficiency. - Partner across teams: Work closely with hardware, embedded systems, QA, reliability, and release teams to improve product testability and resolve cross-functional quality issues. - Own and communicate product quality: Pull metrics and aggregate test reports from multiple sources into a coherent message, carrying the voice of quality and advising on product launch readiness. Minimum Qualifications: - Experience leading engineering teams responsible for systems integration, test infrastructure, developer tooling, device quality, or hardware-software validation. - Strong technical background in software engineering, embedded systems, test automation, or systems engineering. - Extensive background in consumer hardware products and understand the challenges of validating software, firmware, and physical devices together. You might thrive in this role if you: - Have successfully operated or scaled automated testing and hardware-in-the-loop environments. - Are comfortable using data and quality signals to make release decisions and prioritize engineering investments. - Have experience managing engineers while partnering closely with lab technicians, QA teams, vendors, or hardware operations teams. - Can move comfortably between technical architecture, operational problems, people management, and cross-functional execution. - Build strong teams, establish clear ownership, and create an environment where engineers can execute quickly without compromising reliability or quality. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Security Architect, Operating Systems | C...
About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. The Operating Systems team is critical in this mission, turning sophisticated hardware and AI capabilities into a reliable, trusted platform. Security is central to that work: we define trust boundaries, integrate hardware-backed protections, isolate sensitive context, and establish the guardrails that let AI applications and agents act safely, privately, and under user control. About the Role We’re looking for a Software Security Architect to define the security architecture for OpenAI’s next-generation operating system. You’ll work alongside hardware security architects and partner with operating system, silicon, firmware, privacy, and product teams to protect users, their devices, and their data. This is a senior, hands-on role for someone who can connect operating system internals, hardware-backed security, and real-world product constraints. Your work will shape the platform’s trust model, protect sensitive information, and set the technical foundations for AI that is safe, private, and under user control. In this role, you will: - Define the operating system’s security architecture, trust boundaries, privilege model, and protections for sensitive user data. - Partner with hardware security architects to integrate roots of trust, secure elements, trusted execution environments, and processor security capabilities into the operating system. - Design foundational platform defenses, including secure boot, code signing, attestation, secure updates, key protection, and device recovery. - Establish isolation and access controls across the kernel, applications, system services, and AI workloads. - Define guardrails for how AI applications and agents access information, use sensors and tools, retain context, and act on a user’s behalf. - Lead threat modeling and architecture reviews across the platform, translating emerging threats into practical, enforceable requirements. - Prototype solutions, review security-critical systems code, and guide engineering teams through complex technical and product tradeoffs. Minimum Qualifications: - Deep experience designing or securing operating systems, kernels, embedded platforms, hypervisors, or other privileged systems software. - Complex understanding of operating system internals, including memory protection, process isolation, executable loading, device drivers, and privilege boundaries. - Experience building security architectures that span hardware, firmware, operating systems, applications, and cloud services. You might thrive in this role if you: - Bring practical expertise in secure boot, code signing, device identity, attestation, trusted execution, and hardware-backed key protection. - Can write or review systems code in C, C++, Rust, or comparable languages, with a strong grasp of secure development and exploit mitigation. - Build rigorous threat models, influence cross-functional engineering teams, and communicate security tradeoffs clearly. - Care deeply about user privacy, personal agency, and building systems that earn trust through their design. Helpful experience: - Shipping security technologies for consumer operating systems, mobile platforms, or connected devices. - Kernel hardening, memory-safety mitigations, virtualization-based security, or secure enclave integration. - Security architecture for AI agents, sensitive-context isolation, permissioned tool use, or prompt-injection resistance. - Device provisioning, manufacturing security, secure recovery, or lifecycle security for hardware products. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Partner Manager, Monetization
About the Team Platform Partnerships builds and grows the relationships that extend OpenAI products through the world’s most important technology platforms. The team works across Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to turn partner opportunities into durable product experiences and business outcomes. We’re hiring a Partner Manager, Channel Monetization to help build, scale, and manage a portfolio of strategic platform and monetization partnerships. You will drive day-to-day strategy and execution, help shape joint roadmaps and commercial opportunities, and translate shared ambition into measurable adoption, usage, revenue, distribution, and product impact. This is a hands-on individual-contributor role for a skilled generalist who can move between partnership strategy and detailed execution. You will own day-to-day execution across priority relationships, collaborate with senior partnership leads and cross-functional teams, create structure where playbooks are still emerging, make sound decisions with incomplete information, and step into the product, commercial, and operating details required to move work forward. In this role, you will: - Drive day-to-day partnership strategy and execution across priority partners, working closely with Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to align roadmaps and deliver outcomes. - Own a portfolio of strategic partnerships as businesses: set direction, prioritize opportunities, and drive outcomes aligned with OpenAI’s product and company goals. - Contribute to multi-year expansion strategies and joint plans that connect product roadmaps, commercial opportunities, go-to-market motions, and measurable outcomes. - Support complex deal execution and commercial negotiations from partner evaluation through product integration, launch, expansion, and renewal. - Operate as a cross-functional driver, aligning internal teams and external partners around clear priorities, owners, dependencies, launch readiness, and decisions. - Build trusted executive and working-level relationships across both organizations, creating direct communication, shared accountability, and thoughtful pushback when priorities conflict. - Establish and run partner operating cadences, including roadmap reviews, business reviews, planning sessions, launch-readiness reviews, issue resolution, and escalation paths. - Translate partner needs, technical constraints, customer feedback, and market signals into clear product, ecosystem, and go-to-market recommendations. - Define success metrics and communicate performance, risks, tradeoffs, and opportunities through concise, decision-ready materials for internal stakeholders and executives. - Resolve blockers with urgency and turn successful first-of-kind work into simple, reusable playbooks and operating models as the portfolio scales. You might thrive in this role if you: - 10+ years of experience in business development, product partnerships, product, or related technology roles. - Proven experience supporting or leading complex strategic partnerships from 0 to 1 and through scale, including technical or product integrations and measurable commercial, adoption, distribution, or product outcomes. - Strong product and technical judgment, with the ability to work credibly with Product and Engineering on APIs, integrations, developer platforms, data flows, agents, or emerging products. - Experience supporting or structuring complex commercial and technical agreements while balancing near-term outcomes with long-term strategic value. - Strong cross-functional operating skills and experience aligning Product, Engineering, Research, Go-to-Market, Legal, Finance, Marketing, Policy, and Operations to execute complex initiatives. - Strong strategic judgment and problem-solving skills, using data and sound judgment to navigate ambiguity, prioritize competing opportunities, and make tradeoffs. - Clear communication across executive, technical, commercial, and operational audiences, including through high-quality written plans and decision materials. - Ability to build trust, resolve conflict, and manage expectations across functions and company boundaries without relying on formal authority. - High agency, low ego, adaptability, and exceptional follow-through; willing to do the detailed work required to move an outcome forward. - Experience operating in a high-growth company or a scaled technology platform is preferred. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Global Mobility Tax Manager
About the Role OpenAI is building a scalable global mobility tax program that enables employees and the business to move quickly while managing tax compliance, risk, and employee experience. As Global Mobility Tax Manager, you will own the strategy and operating model for mobility tax across international and domestic business travel, assignment planning, cross-border moves, and other priority mobility scenarios. This is a high-impact role for a builder who can translate complex tax requirements into clear policies, durable controls, and practical employee and business guidance. You will lead through expertise and influence across Payroll, Corporate Tax, Finance, Legal, People, business teams, and external advisors. In this role, you will: - Set the global mobility tax framework, principles, governance, and service model in partnership with Corporate Tax teams. - Build clear policies and decision frameworks for international and domestic business travel, assignment planning, cross-border transfers, and other mobility scenarios. - Design the end-to-end operating model, including ownership, handoffs, controls, escalations, employee communications, and vendor responsibilities. - Partner with Payroll, Corporate Tax, Finance, Legal, People, and business leaders to identify tax implications early and support sound workforce decisions. - Establish reporting, dashboards, program health metrics, and issue-management routines that surface risk and drive timely remediation. - Automate high-volume workflows and use AI-enabled tools to improve case handling, documentation, data quality, and employee support. - Manage external tax advisors and vendor partners, service quality, and delivery against agreed standards, timelines, and outcomes. - Monitor regulatory and business changes, assess program impact, and continuously strengthen policies and controls. You might thrive in this role if you: - Bring 8+ years of experience in global mobility tax, expatriate tax, business-traveler compliance, or a closely related field. - Have experience in both a leading tax advisory firm and an in-house global mobility tax function. - Have built or scaled mobility tax programs in a complex, fast-growing, multinational environment. - Bring knowledge of individual income tax, payroll withholding and reporting, social security, tax equalization or protection, and business-traveler compliance. - Can turn technical requirements into practical policies, controls, workflows, and clear guidance for employees and business partners. - Have a track record of leading complex cross-functional programs, influencing senior stakeholders, and driving decisions through ambiguity. - Use data, systems, and automation to improve compliance, visibility, efficiency, and service quality. - Have experience managing global vendors and implementing mobility tax technology. - Communicate with precision, exercise sound judgment, and balance employee experience with business and compliance needs. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Program Manager, Sales Enablement
The Role We are seeking a highly organized, proactive, and collaborative Program Manager to join our Sales Enablement team, embedded in and dedicated to the Public Sector business unit. This role sits at the intersection of GTM strategy and learning design. You will own the end-to-end enablement experience for Public Sector sales reps, from the moment they join Scale to every stage of their ongoing development. The Public Sector GTM team operates as a distinct business with its own sales motion, compliance environment, and buyer context. This role requires someone who can move fluidly between that world and the broader Sales Enablement org; building infrastructure, translating content across BUs, and driving rep readiness in an environment where the stakes are high and the deals are complex. This role would also take ownership of Public Sector BU onboarding for any member joining the team. You will: Build and Own PS Onboarding - Design and launch a structured, role-based onboarding program for Public Sector new hires across the Deployment Strategist and Solution Engineering tracks. - Define "fully ramped" success criteria by role, and communicate them clearly to new hires and their managers. - Utilize the Sales Enablement Platform to deploy learning paths and track completion and readiness metrics. - Partner with the People team and BU leadership to take on BU onboarding for PS new hires after company-wide orientation, ensuring a seamless handoff and a cohesive experience end-to-end. Drive Ongoing Rep Development (Everboarding) - Launch foundational sales skills training for the Public Sector team. This would include proposal writing, discovery methodology, deal qualification, and capture process. - Develop and maintain playbooks by motion for Public Sector reps, and establish a recurring venue for platform capability updates to keep reps current on the roadmap. Own the GTM Knowledge Base - Stand up and maintain the Public Sector GTM knowledge base, hosting sales collateral, templates, pitch decks, and training materials. Stakeholder Collaboration & Program Management - Serve as the day-to-day enablement partner to PS GTM leadership, maintaining a strong pulse on what reps need and how the business is evolving. - Collaborate with the Instructional Designer to ensure onboarding and everboarding content is engaging, role-appropriate, and effectively delivered across modalities (vILT, on-demand, async). - Manage multiple concurrent programs and stay tightly coordinated with the broader Sales Enablement team; acting as the bridge between PS and other BUs, surfacing Enterprise content for Public Sector, and bringing Public Sector learnings back to the org. - Report on roadmap progress and program effectiveness to Public Sector and Enablement leadership on an ongoing basis. Ideally you'll have: - 4+ years of professional experience in a Sales Enablement, GTM Enablement, or closely related role. - 2+ years of program management experience , with a proven track record of managing end-to-end program lifecycles from strategy through execution. - Familiarity with the federal or public sector sales environment , including an understanding of the compliance landscape, procurement cycles, and the buyer context that distinguishes PS deals from commercial ones. - Proven success working collaboratively with Sales Leaders, Subject Matter Experts, and cross-functional stakeholders, including in environments where reps are skeptical of enablement overhead. - Demonstrated ability to manage multiple, concurrent high-priority programs while staying organized and meeting deadlines in a fast-moving environment. - Proficiency in the latest AI tools and systems , with a demonstrated ability to apply AI to automate processes, personalize learning, or enhance enablement impact, including for content creation, communications, and transcript-based workflows. - Excellent written and verbal communication skills , with a focus on delivering clear, actionable content and concise updates. Nice to haves: - Sales Methodology: Experience with or exposure to B2B sales methodologies (e.g., MEDDICC, Challenger) and/or government-specific frameworks like Shipley for proposal development. - Tool Proficiency: Experience with Sales Enablement Platforms (LMS/CMS), Notion, or similar systems for program deployment and content management. - Industry Experience: Background in AI, data, or technical services; or experience enabling reps who sell into technical buyers. - Instructional Design Familiarity: Comfort working alongside an Instructional Designer and contributing to e-learning module structure or curriculum sequencing. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of Washington DC is: $110,000 - $140,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
VP, Business Development and Licensing
Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery. We are building an AI-native platform spanning biology, chemistry, and clinical development; we've signed validating collaborations with partners across biopharma and tech; and we've built a robust internal pipeline with multiple clinical trials underway. You will lead business development and licensing activities pertaining to our portfolio of first-in-class and best-in-class molecules. You will work closely with our internal asset leadership teams to identify licensing and co-development opportunities, conduct rigorous technical and commercial due diligence, structure and negotiate high-impact transactions that drive value and validate our underlying platform technology. You'll interact daily with colleagues across Biology, Chemistry, Clinical Development, Safety, CMC, Data Science, Legal, and Finance to drive alignment and deliver with speed. In this role, you will : - Initiate and build enduring relationships with senior business development and licensing counterparts at pharma and biotech organizations - Identify value-maximizing development and commercialization partners for Recursion’s existing clinical and preclinical assets - Partner with search and evaluation teams and cross-functional department leads to identify, prioritize, and diligence in-licensing and asset acquisition opportunities in Recursion’s key therapeutic areas (oncology, I&I) - Structure, negotiate, and execute a diverse array of agreements (licensing, acquisition, co-development/co-commercialization, spin-out) that align with Recursion's strategic objectives and values - Consolidate industry-wide feedback and advise internal teams on critical data-package deliverables - Represent Recursion's platform and acquisition strategy to senior scientific and business leaders across the industry The Team You'll Join You will be an essential member of Recursion's Corporate Development team, reporting to our Chief Business Officer. The team is an empowered, execution-minded group of business development and alliance management professionals responsible for building Recursion's clinical- and preclinical-stage portfolio through strategic acquisitions, licensing deals, and partnerships. You will work seamlessly with our asset leadership team that focuses on market intelligence, screening, and technical assessment of potential targets. In this collaborative environment, you will need self-initiative, a collaborative mindset, and the ability to communicate with colleagues at all levels. The Experience You'll Need - BS/BA in life sciences (biology, chemistry, pharmacy, medical) - Advanced degree (JD, MBA, PhD, PharmD) strongly preferred - 12-15+ years of experience in the biotechnology or pharmaceutical industry, with a focus on oncology and I&I - 7+ years of direct business development and licensing experience with a strong track record of success in both buy-side and sell-side transactions - Strong network of senior relationships across biotechnology and large pharma - Deep knowledge of the drug development process from early discovery through clinical development and commercialization - Track record of leading complex, multi-stakeholder negotiations and closing high-value transactions - Demonstrated ability to manage multiple complex projects efficiently with a high degree of independence - Exceptional cross-functional collaboration skills and ability to communicate complex technical and commercial concepts to diverse audiences - Demonstrated interest in AI-enabled drug discovery space Working Location & Compensation: This is an office-based role in our New York City office, with flexibility to work remotely as needed. Travel to conferences and partnering events is expected every 4-6 weeks. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: $336,380–$404,140 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DB1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
US Regional Manager, Data Center Capacity Delivery
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As a Regional Manager, you'll own delivery across a regional portfolio of active and upcoming projects. You'll build and lead the team of Senior Delivery Managers and third-party partners who sit on those sites, set the standards they execute to, and step in yourself where a project needs it. You are the executive-level interface to our developer partners in the region and the intake point for projects handed over from our transaction team. This is a highly cross-functional role: you'll work daily with our transaction, design engineering, facility operations and commissioning, deployment, and safety teams, and with developers, GCs, and owner's-representative firms on the ground. MOC (Mission + Outcomes + Competencies) Mission Deliver the region’s data center projects to floor access as fast as they can safely be built. Outcomes - Every active project in the region delivered against early-floor-access and floor-access milestones. - Senior Delivery Manager team hired and led; owner’s-rep partners contracted and managed. - Delivery standards (schedule, quality, change control, reporting) enforced across the portfolio. - Executive reporting on progress vs plan and regional capacity projections in place. Competencies - Senior owner- or GC-side mission-critical delivery leadership. - Builds and leads multi-project teams. - Executive-level developer and GC relationship management. - Leads on site through presence; owns outcomes where no process exists. Responsibilities - Lead. This is a role where leadership trumps management and process. You are expected to be on the region's sites enough to shape the culture, approach, and aggressiveness that define the extended teams there — across the portfolio, not one project — and to impact outcomes in a favorable manner. - Be a force multiplier. Hire, develop, empower, and lead the Senior Delivery Managers on those sites, and raise the skillset developers, contractors, owner's-rep partners, and key trades bring to every project in the region; plan resourcing and headcount as the portfolio grows. - Own portfolio execution for the region — schedule, quality, and safety outcomes on every active project, measured against early-floor-access and floor-access milestones. You are empowered and have autonomy to own this region's record of performance. - Drive ownership and influence both inside and outside contractual structures: select, scope, contract, and manage owner's-rep and project-management partners; where contracts, incentives, or culture get in the way of speed, change them, and replace partners when performance or culture slips - Set and enforce delivery standards across projects — integrated schedule, quality requirements, change control, reporting, and tools — and validate that they are met - Identify blockers early and clear them across developer, GC, and trade layers; step in on site where a project needs it You may be a good fit if you - Have 10+ years delivering data center or other mission-critical construction, including several as the owner's or GC's senior leader on a project campus - Have led a multi-project portfolio and built the team that delivered it - Know the end-to-end development process — entitlements and permitting, design, long-lead equipment, construction, commissioning, and handover — well enough to direct partners rather than take their word for it - Have managed developer, GC, and third-party relationships at the executive level and can move them from arm's-length contract administration to shared urgency - Lead through presence: you expect to be on site most of the time and to set the pace and culture of extended teams you don't directly employ - Communicate clearly with technical and non-specialist stakeholders and hold a position when challenged - Are comfortable with ambiguity and with owning outcomes where no process exists yet Strong candidates may also have - Hyperscale data center delivery experience on the owner, developer, or GC side - Experience with the US & Texas market — its contractors, permitting regimes, and contractual norms - Familiarity with lease, construction, and development contract structures and how to align their incentives around speed The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Partner Sales Manager, Systems Integrators...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Senior Partner Sales Manager for Systems Integrators at Anthropic, you'll own a portfolio of global and regional SI partners and be responsible for the revenue they drive. This role sits at the intersection of partnerships and sales — you'll build trusted relationships with senior stakeholders at firms like Accenture, Deloitte, and PwC, and align on joint go-to-market plans. Your main stakeholders will be sales leaders at Anthropic - helping them to land and expand enterprise deals where partner involvement is the difference between winning and not. This is an early-stage motion, which means the playbook is still being written. You'll have real influence over how we engage SIs, what good looks like for a partner-sourced pipeline, and how we equip integrators to build durable Claude practices inside their organizations. You'll report to the Head of Partnerships, North and work closely with Sales, Applied AI Customer Success, and Product to make sure our partners have what they need to close — and to deliver transformative AI solutions for their clients. Key responsibilities - Work directly with Sales Leaders, Account Executives and Applied AI, bringing the partner into the sales cycle at the right moments and ensuring clear roles, clean handoffs, and shared accountability for outcomes - Build relationships across multiple levels of the partner organization — from practice leads and delivery teams to alliance executives — and serve as their primary sales/commercial point of contact at Anthropic - Own the commercial relationship with a portfolio of assigned SI partners, driving partner-sourced and partner-influenced revenue against defined targets - Gather signal from partner interactions — what's landing, what's missing, where clients are pushing back — and feed it into product and go-to-market planning - Contribute to the development of partner sales processes, playbooks, and best practices as the function scales Minimum qualifications - 12+ years of experience in partner sales, channel sales, alliances, or direct sales at a technology company where partners are heavily involved - A demonstrated track record of driving revenue through partners or direct sales — you can point to pipeline you built, deals you influenced, and relationships that outlasted any single transaction - Strong commercial instincts, including comfort structuring co-sell agreements, navigating multi-party deal dynamics, and knowing when to push and when to let the partner lead - Experience operating in early-stage or high-growth environments where processes are still forming and you're expected to help build them - Excellent communication and relationship-building skills across all levels, from partner practitioners to alliance executives - A collaborative working style — you're energized by cross-functional work and understand that partner sales only works when Sales, Product, and Delivery are aligned - Willingness to travel to support partner relationships and joint customer engagements - A genuine interest in AI and a belief that advanced AI systems should be developed safely and responsibly Preferred qualifications - Experience working as a direct seller in an Enterprise business and/or a major Systems Integrator, giving you firsthand insight into how these organizations make decisions, staff engagements, and build practices around emerging technology - A background in AI, cloud platforms, developer tools, or other categories where technical enablement and differentiation are central to the partner motion - Familiarity with consumption-based or API-first business models and how they shape partner economics and incentive design is a plus - A history of being an early member of a partner sales function and helping it scale. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £160,000 - £220,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Regulatory Investigations Counsel
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a member of our Litigation and Regulatory team, you will take primary responsibility for managing government and regulatory investigations, inquiries, and information requests directed at Anthropic, from initial contact through resolution. These matters may come from various sources, such as federal agencies, state attorneys general, and international regulatory bodies, and could range from informal inquiries to formal civil investigative demands, subpoenas, and multi-agency investigations. You will lead our response with minimal supervision, manage outside counsel, and work cross-functionally to gather information efficiently and with minimal disruption to the business. You may also advise on the regulatory dimensions of business decisions before they become inquiries, helping product, commercial, and policy colleagues understand how regulators are likely to view a launch, partnership, or practice. We may also ask you to flex into managing cases on our civil litigation docket. The right candidate brings the instincts of a litigator, the judgment of a counselor, and an interest in building the systems that let a small team handle a growing docket well. Key responsibilities - Manage regulatory investigations and inquiries from initial contact through resolution, including scoping and negotiating requests with agency staff, coordinating document collection and production, preparing witnesses, and drafting written responses and submissions - Manage Congressional investigations or inquiries - Manage and collaborate with outside counsel across all stages of an investigation, keeping matters efficient and aligned with company priorities - Work cross-functionally with technical, product, policy, and business teams to collect information efficiently, evaluate risk, and develop resolution strategies - Represent Anthropic in interactions with regulators and enforcement staff, and support public policy colleagues in broader regulator engagement - Develop internal processes, playbooks, and tools that make regulatory response scalable and consistent across matters, including where inquiries may overlap with each other or litigation - Track enforcement trends and regulatory developments and share them with stakeholders in a form they can act on - Flex to support litigation and other matters as the team's needs evolve Minimum qualifications - JD from an accredited law school and active membership in at least one U.S. state bar - Substantial experience managing government or regulatory investigations, including responding to civil investigative demands, subpoenas, or comparable formal requests - Experience working with technology companies and/or technical clients - Strong communication, legal writing and analytical skills, with the ability to distill complex facts and law into clear advice for legal and non-legal audiences - Experience managing outside counsel and coordinating large information requests across an organization - Sound judgment on risk tradeoffs, and the ability to move work forward with incomplete information - Integrity, curiosity, and a willingness to take on the hands-on work that a growing team requires - Composure under time pressure and public scrutiny Preferred qualifications - At least 8-12 years of practicing law with a combination of experience at a global-focused law firm and in-house - Experience with enforcement matters before federal agencies, state attorneys general, or international regulatory bodies - Prior experience at a regulatory or enforcement agency - Working knowledge of competition and antitrust law or cybersecurity/privacy law - Civil litigation experience, particularly for technology companies working with novel products - Familiarity with AI-specific regulatory frameworks - Experience building sustainable regulatory-response processes at a growth-stage company - A commitment to the development of AI that is both innovative and trustworthy, including an understanding of the risks and limitations that must be addressed alongside the benefits Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or Washington, DC office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Regional Manager APAC, Data Center Capacity Delive...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Training and serving frontier AI models requires data center capacity at a scale and pace that conventional delivery models were not built for. Anthropic's Data Center Capacity Delivery team embeds with developers, general contractors, and third-party partners to take leased and partnered sites from deal close through floor access and operational handover as fast as they can safely be built. As a Regional Manager, you'll own delivery across a regional portfolio of active and upcoming projects. You'll build and lead the team of Senior Delivery Managers and third-party partners who sit on those sites, set the standards they execute to, and step in yourself where a project needs it. You are the executive-level interface to our developer partners in the region and the intake point for projects handed over from our transaction team. This is a highly cross-functional role: you'll work daily with our transaction, design engineering, facility operations and commissioning, deployment, and safety teams, and with developers, GCs, and owner's-representative firms on the ground. MOC (Mission + Outcomes + Competencies) Mission Deliver the region’s data center projects to floor access as fast as they can safely be built. Outcomes - Every active project in the region delivered against early-floor-access and floor-access milestones. - Senior Delivery Manager team hired and led; owner’s-rep partners contracted and managed. - Delivery standards (schedule, quality, change control, reporting) enforced across the portfolio. - Executive reporting on progress vs plan and regional capacity projections in place. Competencies - Senior owner- or GC-side mission-critical delivery leadership. - Builds and leads multi-project teams. - Executive-level developer and GC relationship management. - Leads on site through presence; owns outcomes where no process exists. Responsibilities - Lead. This is a role where leadership trumps management and process. You are expected to be on the region's sites enough to shape the culture, approach, and aggressiveness that define the extended teams there — across the portfolio, not one project — and to impact outcomes in a favorable manner. - Be a force multiplier. Hire, develop, empower, and lead the Senior Delivery Managers on those sites, and raise the skillset developers, contractors, owner's-rep partners, and key trades bring to every project in the region; plan resourcing and headcount as the portfolio grows. - Own portfolio execution for the region — schedule, quality, and safety outcomes on every active project, measured against early-floor-access and floor-access milestones. You are empowered and have autonomy to own this region's record of performance. - Drive ownership and influence both inside and outside contractual structures: select, scope, contract, and manage owner's-rep and project-management partners; where contracts, incentives, or culture get in the way of speed, change them, and replace partners when performance or culture slips - Set and enforce delivery standards across projects — integrated schedule, quality requirements, change control, reporting, and tools — and validate that they are met - Identify blockers early and clear them across developer, GC, and trade layers; step in on site where a project needs it You may be a good fit if you - Have 10+ years delivering data center or other mission-critical construction, including several as the owner's or GC's senior leader on a project campus - Have led a multi-project portfolio and built the team that delivered it - Know the end-to-end development process — entitlements and permitting, design, long-lead equipment, construction, commissioning, and handover — well enough to direct partners rather than take their word for it - Have managed developer, GC, and third-party relationships at the executive level and can move them from arm's-length contract administration to shared urgency - Lead through presence: you expect to be on site most of the time and to set the pace and culture of extended teams you don't directly employ - Communicate clearly with technical and non-specialist stakeholders and hold a position when challenged - Are comfortable with ambiguity and with owning outcomes where no process exists yet Strong candidates may also have - Hyperscale data center delivery experience on the owner, developer, or GC side - Experience with the Australian and Japanese/Korean market — its contractors, permitting regimes, and contractual norms - Familiarity with lease, construction, and development contract structures and how to align their incentives around speed Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Data Center Portfolio Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is rapidly scaling our compute infrastructure across a portfolio of data center builds with multiple developer partnerships. The Data Center Portfolio & Planning team owns the integrated view of that supply: compute allocation, decision locks, forecasting, and the frameworks that underpin all of it. We’re looking for a Data Center Portfolio Lead to manage the portfolio itself — the sites, the partners behind them, and the decisions each site has to clear on its way to operational readiness. You will be the source of truth on where every site stands, and the person who defines how each one moves from negotiation to deployment. You will build the stage gates, cadence, and tooling that establishes a true program rather than case-by-case execution. This is a highly cross-functional role, working closely with our site selection, energy, supply chain, engineering, and delivery teams, as well as external partners. Responsibilities - Manage the portfolio overall: each site’s status, milestones, decisions taken, open items, and risks - Lead the portfolio reviews that ground our teams on the current state of supply, decisions needed, and downstream impacts - Architect and run the stage-gate framework — the criteria, approvals, and owners at each gate — that standardizes how a site moves from negotiation through lease execution, design and chip lock, construction, and handoff to operations - Work with the planning and design teams to decide each site’s chip allocation ahead of deadlines - Act as the primary point of contact between strategic partners and internal stakeholders, drive execution to critical milestones, and keep partners consistent across site selection, design, supply chain, and delivery - Develop AI-driven tooling and data pipelines that automate project updates across the portfolio You may be a good fit if you - Have managed data center or comparable capital-intensive infrastructure at scale - Have owned an external development or partner relationship, and know how to hold both sides to their commitments - Have built or run a stage-gate or milestone framework, and gotten teams to fully adopt it - Are fluent in the constraints — such as power, cooling, design, and delivery dates — that determine where hardware can go and when that choice has to lock - Have automated your own reporting with tooling or data pipelines Strong candidates may also have - Technical program management experience on capital projects, running delivery across multiple concurrent builds - Management consulting or internal strategy background, bringing structure to ambiguous problems and building the cadence that keeps them moving - Experience with accelerator or server fleet planning and the data center designs they require - Experience on the commercial side of these agreements, whether negotiating a lease, a framework agreement, or managing one after signature The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Canada Public Sector Account Executive
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Canada, Public Sector Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI across the Canadian public sector. You'll leverage your deep understanding of Canadian government operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the Canadian public-sector market while maintaining the highest standards of security and compliance. This is a national role anchored in the National Capital Region, supporting the Government of Canada, provincial/territorial governments, Canada's national security and defence community, crown corporations, and the broader public sector. Responsibilities: - Drive new business and revenue growth across the Canadian public sector, with the Government of Canada as the primary focus and provincial/territorial governments, crown corporations, and the broader public sector as secondary coverage, owning the full sales cycle from initial outreach through deployment - Navigate how the Government of Canada buys cloud and AI services, including software licensing supply arrangements, federal cloud brokering, resale through Canadian partners, consumption via cloud provider marketplaces, competitive tendering, and Indigenous procurement considerations - Build and maintain relationships with key decision-makers across the Government of Canada, including departmental Chief Information Officers and Chief Data Officers, senior program executives, central agency and procurement stakeholders, and mission owners, becoming a trusted advisor on AI capabilities and implementation - Develop and execute strategic account plans that align with departmental mandates and modernization initiatives, positioning Anthropic early in major programs to shape requirements before they are finalized - Navigate Canadian security and compliance requirements, including data classification levels, federal security control profiles, assessment and authorization, data-residency requirements, and personnel security clearances - Coordinate closely with cloud service providers and system integrators to ensure successful deployment and integration - Represent Anthropic at Canadian public-sector and partner events, including industry days, conferences, and cloud provider events, raising Anthropic's profile through speaking engagements and community engagement - Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet Canadian public-sector requirements, including responsible-AI obligations under the Treasury Board Directive on Automated Decision-Making and the Algorithmic Impact Assessment - Create and maintain sales playbooks specific to Canadian public-sector use cases and procurement processes - Generate pipeline and own territory and account planning across your assigned Canadian public-sector accounts, maintaining hands-on engagement with key accounts - Collaborate across teams to ensure coordinated delivery of commitments and maintain appropriate documentation of customer engagements, engaging bilingually (English/French) with federal institutions and Quebec public-sector customers where required You may be a good fit if you have: - 7+ years of enterprise sales experience in the Canadian public sector, the majority selling to the Government of Canada, with a proven track record of driving adoption of emerging technologies - Deep understanding of federal department and agency mandates, challenges, and technology needs, with working knowledge of provincial/territorial and broader public-sector buyers - Demonstrated ability to balance strategic account leadership with hands-on sales execution - Familiarity with how the Government of Canada buys and secures cloud and AI services, with the judgment to navigate these processes alongside partners, capture, and deal teams - Strong track record of exceeding revenue targets and closing large, complex, long-cycle public-sector deals - Ability to be based in the National Capital Region, with travel across Canada as needed - Eligibility to obtain and maintain a Government of Canada personnel security clearance (Reliability Status; Secret an asset) - Executive presence and relationship-building skills across all levels, from technical teams to senior agency leadership (ADM/DG) - Proven ability to coordinate across multiple stakeholders, including cloud providers and system integrators - Professional working proficiency in French, sufficient to support Quebec public-sector engagement and bilingual delivery of customer-facing material - Strategic thinking combined with attention to detail in execution - A passion for safe and ethical AI development, with the ability to articulate its importance in government contexts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $420,000 - $495,000 CAD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Product Manager, Learning
About the Team The ChatGPT product team is a rapidly evolving, high-impact group within OpenAI that builds intuitive, safe, and useful AI-powered experiences for millions of people worldwide. Our team brings together engineering, design, research, and product to explore how conversational AI can help people learn, create, and solve problems. AI has the potential to transform how millions of people learn, teach, and achieve their goals. Learning is one of the top use cases on ChatGPT— not only for students, but also for adults building new skills in a rapidly changing world. The Education team is focused on advancing how humans learn with AI and working to make high-quality learning accessible. We aim to deliver measurable gains in cognition and achievement, partnering closely with students, educators, and country leaders to ensure new tools are safe, effective, and trusted. About the Role As a Product Manager for Education & Learning, you will shape the strategy and build products to advance learning experiences in ChatGPT— defining a category that could reshape classrooms, careers, and lifelong learning. You’ll collaborate with cross-functional partners—from AI research to design to go-to-market—to build ChatGPT into a true learning agent and ensure those products you build meet the needs of stakeholders throughout the ecosystem. You will also partner closely with product teams across growth, youth well-being, and enterprise to ensure alignment and maximize impact. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Define and drive the product vision for education and learning in ChatGPT. - Partner with research teams to explore how AI can better advance learning outcomes - Collaborate with cross-functional teams—including design, engineering, product, and go-to-market—to bring education features to life. - Partner with xfn growth, GTM, and marketing teams to bring the tools to students, adult learners, and educators. - Work with external partners in academia, education, and workforce development to track outcomes & ensure products are safe, effective, and aligned with real-world needs. - Use both data and user feedback to validate impact and guide product direction. You might thrive in this role if you: - Have 10+ years of product management experience with strong leadership, xfn collaboration, and communication skills. - Bring experience in education, EdTech, or learning research, or are eager to dive into complex, research-driven problem spaces. - Have built and scaled impactful consumer products. - Are motivated by OpenAI’s mission and excited to build products that help people learn. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Supply Chain Delivery Manager, Data Center Power &...
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. - About the Role Anthropic is bringing data center capacity online faster than the industry has ever attempted, and the owner-furnished equipment (OFE) that makes a site live — switchgear, transformers, UPS, generators, busway, PDUs, chillers, CDUs, air handlers, dry coolers, pumps and piping skids — is long-lead, high-value, and sits squarely on the construction critical path. When a transformer slips three weeks at the factory, a data hall slips three weeks at the site. We're hiring a Supply Chain Delivery Manager to own that equipment from purchase order to dock. You will be the site-facing supply chain lead for a regional portfolio of data center projects: tracking every OFE line item against the construction schedule, running factory and logistics escalations with OEMs, holding suppliers and general contractors accountable for delivery performance, and giving leadership a clear, converged picture of delivery risk across the portfolio. Your job is to make sure equipment production and delivery are never the reason a site misses its ready-for-service date. This is a senior individual-contributor role on the Compute DC Infrastructure team, working daily with Construction, Electrical and Mechanical Engineering, Strategic Sourcing, Commissioning, and our general contractors and OEMs. It is not a category-management or negotiation role — Sourcing owns supplier strategy and commercial terms — and it is not a people-management role. The emphasis is execution: schedules, escalations, logistics, and site readiness. What You'll Do Delivery planning and schedule integration - Own the end-to-end OFE delivery plan for each site in your portfolio: order placement, engineering submittal/approval milestones, production slots, FAT dates, ship dates, and required-on-site (ROS) dates, integrated with the GC's construction schedule. - Engage during preconstruction with Construction, Engineering, and the GC to set OFE delivery expectations, sequence equipment arrivals to the build, and identify schedule risk before POs are cut. - Lead OFE kickoff meetings at the site level with the GC and internal construction teams, establishing points of contact, delivery windows, receiving requirements, and escalation paths. - Maintain the single source of truth for OFE status across the portfolio — a live tracker of every line item, its milestone dates, and its risk rating. Supplier execution and escalation - Run weekly delivery cadences with OEMs and integrators on open orders; verify production progress against committed slots rather than accepting reported dates at face value. - Act as the primary escalation point for factory slips, component shortages, FAT failures, and shipping delays; drive recovery plans (expedites, partial ships, resequencing, alternate sources) with Sourcing and Engineering. - Partner with Sourcing on corporate-level supplier escalations, bringing site-level schedule intelligence to commercial conversations. - Hold GC OFCI teams accountable for receiving, storage, and installation-readiness performance; manage the change/claim process when delivery issues affect the GC's schedule. Logistics and site readiness - Plan and coordinate transportation for oversize/overweight and high-value equipment — carrier selection, route surveys, permits, crane and rigging coordination — with our logistics partners and the GC. - Manage laydown, staging, and interim storage decisions when site readiness and equipment arrival diverge; coordinate with Quality and Commissioning on receiving inspection and storage/preservation requirements. - Ensure equipment arrives complete — accessories, spares, documentation, and vendor startup support scheduled — so installation and commissioning are not delayed by missing pieces. Risk management and reporting - Identify, triage, and report delivery risks across the portfolio; propose solutions and drive decisions to protect capacity milestones. - Establish and lead recurring Capacity Delivery Reviews giving leadership converged visibility into OFE delivery status and risk by site and by equipment category. - Track delivery KPIs — on-time-to-ROS, schedule drift by supplier and category, escalation cycle time, expedite spend — and use them to surface systemic issues. - Feed lessons learned back into Sourcing (lead-time assumptions, contract delivery terms, buffer strategy) and Construction (ROS sequencing) to improve the next program. Who You Are - 8–12+ years in supply chain delivery, equipment expediting, construction management, or infrastructure program management on large-scale, schedule-driven construction programs. - Hands-on experience delivering power and/or cooling equipment for mission-critical facilities — transformers, switchgear, generators, UPS, busway, chillers, CDUs, air handlers — and familiarity with how those OEMs actually build and ship. - You've managed cross-functional escalations across construction teams, suppliers, and internal partners, and you know when to expedite, when to resequence, and when to escalate commercially. - Comfortable reading and influencing construction schedules (P6 or MS Project) and tying equipment milestones to them. - Strong written and verbal communication — you can turn a messy delivery problem into a one-page recommendation for leadership. - Data-fluent: you build and maintain trackers and dashboards, and you'd rather look at the numbers than trust a status email. - Thrive with high autonomy in a fast-moving, ambiguous environment; you own outcomes, not just updates. - Bachelor's degree in Supply Chain, Engineering, Construction Management, or a related field, or equivalent experience. Nice to Have - Experience with hyperscale or AI data center construction and OFCI (owner-furnished, contractor-installed) delivery models. - Experience supporting multiple concurrent projects (5–10+) across a regional portfolio. - Working knowledge of FAT/SAT and commissioning workflows and how equipment documentation gates them. - Heavy-haul / project logistics experience, including international freight, customs, and Incoterms. - Technical understanding of data center electrical distribution and cooling system design. - Familiarity with ERP/procurement systems and analytics tools (SQL, Power BI/Tableau, Smartsheet/Procore). - PMP, CSCP, or similar certification. Logistics - Location: [San Francisco / hybrid, or remote US near the regional portfolio?] - Travel: [up to 40%] to construction sites in the regional portfolio and to supplier factories as needed. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Platform Security Engineer, DRTM / Secure Launch
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building the platform security foundation for the infrastructure that trains and serves frontier models. This role owns Dynamic Root of Trust for Measurement (DRTM) across that fleet: bringing it up on x86 and ARM, building the attestation and isolation properties it makes possible, and hardening the parts of the platform that DRTM alone does not cover. The work sits at the lowest layers of the stack: firmware, bootloaders, kernel, and the silicon features underneath them. It is also unusually public. We expect the DRTM work done here to land upstream, and the person in this role will be a visible participant in the Linux and firmware communities rather than a consumer of them. Security carries the same design weight as performance and scalability at datacenter scale. You will partner closely with our firmware security, hardware, and OS hardening engineers, and directly with vendor and OEM partners whose DRTM implementations we depend on. Key responsibilities DRTM adoption and integration: - Own adoption and integration of DRTM hardware security features across Anthropic infrastructure, on both x86 and ARM platforms - Implement attestation services and the additional security and privacy capabilities that DRTM presence enables - Design and implement a bootloader-agnostic solution for initiating and relaunching DRTM sessions - Investigate further hardening of existing DRTM solutions: PPAM to isolate SMM on x86, VMM features to isolate UEFI runtime services, ACPI handling and hardening in DRTM environments Vendors and upstream: - Interface with vendor and OEM partners on their DRTM solutions: refine requirements jointly and determine which changes are desirable and feasible - Publish relevant DRTM work upstream and help carry Linux Secure Launch maintainership as tboot is retired - Act as technical lead in architecture and design, and disseminate the work through technical papers, conference talks, and community engagement - Assist other Anthropic teams with their own open source efforts and upstream interactions Broader low-level platform work: - Build and harden other platform security features, including confidential computing solutions such as TDX and SEV - Support custom operating system artifacts, implement device drivers for custom hardware and features, and do firmware diagnosis and enhancement work - Debug and diagnose kernel and system-level issues on production hardware - Take on investigative work in new technical areas and old unsolved ones (for example, the distinct security problems in dTPMs and fTPMs) Minimum qualifications - Deep hands-on experience with measured boot and roots of trust: DRTM (Intel TXT, AMD SKINIT, ARM equivalents), SRTM, TPM 1.2/2.0, and the measurement chains built on them - Strong C and assembly, with deep Linux kernel and early-boot fundamentals (bootloaders, UEFI, ACPI, SMM) - A record of landing non-trivial work upstream in Linux, TianoCore, GRUB, or a comparable community - Comfort at the hardware/firmware boundary and with the debugging that comes with it: JTAG, serial, platform-level bring-up, silicon errata - Strong technical cross-functional leadership and direction setting, including with external vendors and OEMs - Clear written communication: this role produces specifications, design docs, and public technical writing - Working knowledge of NIST firmware security guidance, particularly SP 800-193 and 800-147/155 Preferred qualifications - 8+ years in systems security, with at least 5 years focused on firmware, bootloader, and OS-level security - Existing maintainership or subsystem ownership in Linux, or standing in the TCG, UEFI Forum, or OCP communities - Confidential computing implementation experience: TDX, SEV-SNP, ARM CCA, and their attestation flows - Hardware roots of trust and attestation beyond the TPM: Caliptra, OCP S.A.F.E., SPDM - Memory-safe systems code in Rust - Firmware vulnerability research, reverse engineering, or fuzzing - Previous work with AI/ML infrastructure security The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partner Marketing Lead, Cloud
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Marketing Manager at Anthropic, you will play a pivotal role in building and scaling our partner marketing initiatives with our cloud partners. You will develop and execute comprehensive go-to-market programs that drive enterprise adoption of Claude through our cloud partners. In this role, you will shape joint value propositions, lead co-marketing campaigns and launch moments with our cloud partners, and build scalable programs that put Claude in front of enterprise customers. You'll be a key connector between Anthropic's partner organization and our marketing teams, ensuring seamless execution of high-impact programs that accelerate pipeline and revenue growth. This role requires someone who can think strategically about long-term partner relationships while also rolling up their sleeves to execute flawlessly on campaigns, events, and programs. You'll need to balance the art of relationship-building with the science of measuring marketing impact, always keeping the focus on driving measurable business outcomes for both Anthropic and our partners. Key responsibilities - Design and execute comprehensive go-to-market programs for one of our major cloud partners, focusing on enterprise customer acquisition - Develop joint marketing campaigns targeting C-suite and senior decision-makers at enterprise organizations, creating compelling narratives around AI transformation and business value - Build partner messaging frameworks and create high-quality enablement materials (pitch decks, solution briefs, case studies, demo scripts) that empower partners to effectively position Claude - Lead end-to-end campaign execution, coordinating across product marketing, demand generation, field marketing, and events teams to ensure flawless delivery - Establish and manage joint business planning processes with a major cloud partner, including quarterly planning, campaign calendars, and success metrics - Collaborate with partner sales teams to identify priority accounts and develop account-based marketing strategies that leverage partner relationships - Track, measure, and report on partner marketing performance, including partner-sourced pipeline, influenced revenue, and campaign ROI - Represent Anthropic at partner events, executive briefings, and industry conferences as needed - Build scalable processes and playbooks that can be replicated across the partner ecosystem as we grow Minimum qualifications - Have deep expertise building and executing partner marketing programs with hyperscaler partners - Demonstrate strong understanding of enterprise buyer journeys and can create marketing programs that resonate with C-level executives - Are skilled at developing compelling joint value propositions that articulate clear business outcomes for enterprise customers - Have proven ability to manage complex, cross-functional initiatives with multiple stakeholders across organizations - Excel at building trusted relationships with partner marketing and sales teams, establishing yourself as a strategic advisor - Are highly organized and detail-oriented, with demonstrated ability to manage multiple programs simultaneously while maintaining quality - Possess excellent written and verbal communication skills, with experience creating executive-level content and presentations - Are data-driven and comfortable tracking marketing metrics, analyzing performance, and optimizing programs based on results - Thrive in fast-paced, high-growth environments and are comfortable with ambiguity and changing priorities - Have a "get it done" mentality and aren't afraid to jump in wherever needed to ensure program success - Care about the societal impacts of AI and are excited about enabling enterprises to adopt AI responsibly Preferred qualifications - Experience in the AI/ML industry or working with AI-powered products - Background in B2B SaaS partner marketing, particularly in developer tools, data platforms, or enterprise software - Experience with marketplace programs (AWS Marketplace, GCP Marketplace, Azure Marketplace) - Proven track record launching and scaling new partner programs from the ground up - Experience marketing to technical audiences as well as business decision-makers - Understanding of enterprise AI use cases across different industries and functions - Experience with marketing automation platforms, CRM systems, and partner relationship management tools - Track record of success in high-growth startup environments Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or Seattle at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. If based in Seattle, this role will require traveling to the San Francisco office once a month. Additionally, this role will also require travel up to 20% of the time for partner meetings and partner events. Deadline to apply: None. Applications will be reviewed on a rolling basis The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $255,000 - $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Partnerships, Japan
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Japan is one of the most sophisticated enterprise technology markets in the world, and one where partners, not vendors, typically own the customer relationship. The Head of Partnerships, Japan will build and lead the team that makes Anthropic's partner ecosystem the primary route to Japanese enterprise. You will set the partner strategy for Japan, develop the team that executes it, and own the partner-sourced and partner-influenced pipeline, revenue and attach rate for the country. You will personally lead our most strategic partner relationships at the executive level while coaching your team to do the same across the GSI, regional SI, and reseller landscape. This is a player-coach role for an experienced partner leader who has built and scaled partner businesses in Japan before, ideally for a US technology company entering or growing in the market. You will work day to day with the Japan sales leadership and the in-region Applied AI team, represent Japan within Anthropic's International Partnerships organisation, and carry the voice of Japanese partners and customers into our global product and go-to-market decisions. What you'll do Lead and build the team - Hire, develop and retain a high-performing Japan partner team spanning GSI, regional SI and reseller coverage, sized and structured to the market opportunity - Set clear goals, territories and partner portfolios for each team member, and hold the team accountable to pipeline, revenue and attach-rate outcomes - Establish the team's operating cadence: one-on-ones, weekly pipeline reviews, deal inspection, partner QBRs and quarterly business planning - Coach the team on executive engagement, joint business planning and co-selling in Japanese enterprise accounts, and model those behaviours personally Set and own the Japan partner strategy - Define which partner segments, partners and motions Anthropic prioritises in Japan, and in what sequence, based on revenue potential, customer reach and strategic fit - Design the partner coverage model across our partner landscape (NTT DATA, Fujitsu, NEC, Hitachi, Accenture and others), and where we go deep vs. broad. - Localise Anthropic's global partner program for Japan, including tiers, incentives, enablement paths and rules of engagement, and feed Japan requirements back into the global program design - Own the annual and quarterly partner business plan for Japan and report on it to International Partnerships leadership Lead our most strategic partnerships - Own the executive relationships with Anthropic's most consequential partners in Japan, from joint business planning through to board-level sponsorship on both sides - Negotiate and structure partnership agreements, including resale, co-development and revenue-sharing constructs, working with Legal, Finance and Deal Desk - Lead the creation of joint solutions and industry offerings with partner practices in manufacturing, financial services, retail, telecommunications, life sciences and the public sector Own partner pipeline, revenue and attach rate - Carry the Japan partner-sourced and partner-influenced pipeline and revenue targets, and the partner attach-rate target, for the team - Run a disciplined forecast with the team and with Japan sales leadership, ensuring partner deals are registered, progressed and closed with predictability - Decide where to deploy partner investments (market development funds, enablement, co-marketing, headcount) for the highest return - Build the reporting and systems hygiene that gives International Partnerships and Anthropic leadership a clear, trusted view of the Japan partner business Represent Japan and drive cross-functional execution - Act as the single point of accountability for the partner business in Japan with Japan sales leadership, the Applied AI organisation, Marketing, Legal and Product - Ensure Japanese partner and customer requirements, including language, data residency, security and sovereignty needs, are understood and prioritised by global product and engineering teams - Partner with the Japan sales leader to embed partners into account planning and co-selling for the country's priority accounts - Resolve channel conflict between direct sales, SIs and resellers, and set the rules of engagement that keep the ecosystem healthy as it grows Be the face of Anthropic's partner ecosystem in Japan - Represent Anthropic at partner executive forums, industry conferences and analyst engagements related to the partner ecosystem - Sponsor the development of Japanese customer success stories, delivered with partners, that resonate with Japanese enterprise buyers - Build Anthropic's reputation as the partner-first AI company in Japan through the way your team shows up every day What we're looking for - 15 to 20+ years in enterprise technology, with a substantial portion leading partner, alliances or channel businesses in Japan - 5+ years of people leadership over partner or alliance teams, with a track record of hiring, developing and retaining strong performers - Direct experience building a partner business in Japan for a US or global technology company, ideally through a period of rapid growth or market entry (hyperscaler, enterprise SaaS, data or AI platform) - Proven ownership of partner-sourced and partner-influenced revenue targets at a country or regional level, with the forecasting discipline to match - Established executive relationships with Japan's major system integrators, consulting firms, and a reputation they would vouch for - Experience negotiating complex partnership structures: resale agreements, joint solution development, and revenue-sharing or incentive models - Demonstrated ability to operate as a player-coach, personally owning strategic relationships while building a team that scales beyond you - Comfort shaping strategy in ambiguity and turning it into an operating plan, while working closely with global teams in other time zones - Business-level fluency in Japanese and English, and the cultural fluency to move between Japanese enterprise norms and a fast-moving US company - Based in Tokyo Strong candidates may also have - Experience with AI, data or cloud platform partnerships specifically, including partner-built solutions and marketplace motions - Experience on the partner side, inside a Japanese SI or distributor, and an understanding of how those organisations make decisions - Experience localising a global partner program for Japan and influencing its design - Experience working alongside professional services or applied AI teams to deliver partner-led customer outcomes Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Global Power Delivery Equipment Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring a Global Power Delivery Equipment Lead to own Anthropic's global strategy, OEM relationships, and capacity position for long-lead power equipment that sets the pace of Anthropic's global data center build-out. You will stand up and lead Anthropic's global equipment strategy function and represent Anthropic with OEM executives, utilities, and development partners. In this role, you will own end-to-end sourcing strategies for critical power generation and grid-integration equipment — gas turbines, reciprocating engines, large power and generator step-up transformers, medium- and high-voltage switchgear, solar and battery energy storage (BESS), and related balance-of-plant electrical — across both off-grid (behind-the-meter, islanded, bridge power) and grid-integrated sites. The scope is global: you will cover all regions (US, EMEA, APAC) and coordinate with the regional energy leads so that equipment strategy, OEM capacity reservations, and allocation decisions are made once, at portfolio scale, rather than project by project. The sourcing strategy you build should also make innovative power system approaches buildable — off-grid, solar-dominant configurations (solar + BESS with firming generation), not just conventional gas + grid. You will partner closely with energy origination, engineering, demand planning, construction, legal, finance, and third-party development partners to drive equipment availability, establish OEM relationships, and negotiate framework and commercial agreements. Responsibilities: - Drive commercial negotiations and framework / Master Purchase Agreements for critical power equipment such as gas turbines (simple and combined cycle), reciprocating engines, fuel cells, large power and generator step-up transformers (HV/EHV), medium- and high-voltage switchgear, substation and protection equipment, solar, and battery energy storage systems. - Secure and manage OEM manufacturing slots and capacity reservations — reservation agreements, deposits, slot allocation, delivery milestones, warranties, liquidated damages, and assignment rights — and run the allocation and reallocation process across sites and regions as deals are signed. - Build and hold relationships with OEM headquarters and regional leadership across North America, Japan and Asia, and Europe, including on capacity-expansion and allocation commitments. - Own the global power equipment strategy: translate the site and energy pipeline into equipment forecasts and procurement pipelines for both off-grid and grid-integrated configurations, and keep the equipment pipeline view (reserved / on order / in fabrication / allocated) current. - Enable innovative power system approaches — off-grid, solar-dominant configurations (solar + BESS with firming) alongside conventional gas + grid — by securing the OEM relationships, reservations, and framework terms that make them buildable at scale and on schedule. - Set the global equipment plan with the regional energy leads in the US, EMEA, and APAC so regional generation strategy, interconnection timelines, and local code and grid requirements are reflected in what is bought, when, and for where. - Decide allocation across sites and partners in constrained markets, hold partners to schedule, and own total cost of supply. - Implement frameworks for ensuring third-party data center partners, EPCs, and general contractors adhere to commercial equipment terms and technical specifications, including owner-furnished equipment (OFE) assignment and reimbursement mechanics. - Work with EPC and power producer / utility counterparties on collaborative sourcing and programmatic equipment approaches — joint or pooled orders, standardized specs, and framework buys that span sites and counterparties — so equipment is bought as a program rather than deal by deal, drawing on utility sourcing practices where they fit. - Own lead-time risk across the portfolio, directing EPCs, development partners, and regional energy leads on lead-time management for long-lead power equipment — tracking OEM lead times and delivery schedules against site and project schedules and deciding order timing and slot allocation and reallocation across sites and counterparties — so equipment lands when each site needs it. - Proactively monitor global supply chain volatility (e.g., lead times and capacity for turbines, transformers, and switchgear; country-of-origin and tariff exposure) and execute contingency plans and alternative-source strategies to avoid critical project delays. - Track the energy-innovation, energy-to-data-center integration, and domestic-manufacturing and global-trade dynamics that move power-equipment availability and cost — new generation and storage technologies, behind-the-meter and grid-integrated delivery models, OEM capacity expansion, tariff and country-of-origin exposure — and turn them into sourcing positions. - Own the commercial structure (deposits, payment schedules, credit support, capital deployment) with Finance and Legal and carry transactions through executive approval. - Partner with power-system design and engineering early — site power architecture, generation mix, interconnection approach — so equipment sourcing strategy and system design inform each other rather than sourcing arriving after the design is fixed; and on specifications and standardization so equipment purchased on-spec can be redeployed across sites, regions, and development partners. - Negotiate warranty, startup/commissioning support, long-term service, and spare parts terms, and track OEM performance. You may be a good fit if you: - Have 12+ years in power equipment, grid infrastructure, or energy markets, spanning at least two of: OEM commercial or business development; utility or power-producer sourcing and development; renewables or storage development; procurement or EPC — including having led a function, team, or portfolio-scale program. - Have a track record of developing processes for forecasting, planning, and procuring power generation and grid-integration equipment for data centers, utilities, IPPs, or large industrial loads. - Are familiar with power systems equipment (e.g., gas turbines, reciprocating engines, fuel cells, large power and GSU transformers, MV/HV switchgear, protection and substation equipment, solar, BESS) and the differences between islanded/behind-the-meter and grid-connected configurations. - Have direct experience negotiating framework, master supply, or capacity reservation agreements with major power-equipment OEMs. - Are familiar with utility sourcing practices — framework and alliance agreements, reservation and blanket orders, standard specifications, and OEM qualification programs — and can adapt them to a programmatic equipment approach. - Have negotiated framework or reservation agreements at $100M+ scale with executive-level OEM relationships. - Have worked inside or directly with a major power-equipment OEM (transformers, HV/switchgear, grid automation, turbines) on commercial structures, capacity allocation, and new business models. - Have presented strategy and risk to executive leadership or a board. - Have worked alongside power-system design engineers on site power architecture, generation mix, and interconnection, and can translate between what the system needs and what the OEM market can deliver. - Possess a bachelor's degree in a relevant domain (e.g., electrical engineering, power systems, construction management, supply chain) or equivalent practical experience. It's a bonus if you have: - 5+ years experience in data center, utility, or critical environment power infrastructure. - Experience sourcing across multiple regions (US, EMEA, APAC) and working with regional OEM sales, EPC, and logistics organizations. - Established relationships with major generation, transformer, and switchgear OEMs and familiarity with their slot-allocation processes. - Experience working with general contractors, EPCs, MEP integrators, OEMs, and equipment distributors on data center construction programs. - Familiarity with interconnection processes and utility/ISO requirements relevant to large loads and on-site generation. - Familiarity with battery energy storage systems and hybrid generation architectures. - Experience with OEM warranty, return, repair, and replacement programs. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Energy Scheduling & Portfolio Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring an Energy Scheduling & Portfolio Lead to own energy availability across Anthropic's non-cloud data center portfolio: contracted and available energy against planned compute, and the risk to it. This one central scheduling and portfolio role holds the live view of energy availability risk and energy availability need for workload management. You will be our counterpart to the LSEs, QSEs, scheduling coordinators, and suppliers in electricity and gas markets across jurisdictions; forecasting is an instrument of that view. You schedule and manage physical energy delivery — not financial instruments — including how much gas the portfolio needs to schedule, and keep energy supply and the workload plan in step with workload and site planning, energy origination, and data center operations. ESA counterparties operate the behind-the-meter plants; you manage their performance and our exposure. This role will also build processes and structures to ultimately support asset management across our energy portfolio. You are this function's first dedicated owner and will build its models and processes from zero. Responsibilities: - Own the live view of energy availability risk and need: contracted, available, and committed energy and capacity at each site against planned load and ramp, by month and by hour where it matters; keep it current as deals sign, sites come online, and plans change, and close gaps and use surpluses with workload and site planning and energy origination. - Be the operational counterpart to our LSEs, QSEs, scheduling coordinators, and retail and wholesale suppliers in domestic ISO/RTOs, including ERCOT, and international power markets, and manage our participation in utility and ISO market programs. - Predict and track curtailment (utility, ISO, fuel, equipment, and contract-driven) for each site, and navigate shortage pricing and reliability events: ISO scarcity pricing, emergency procedures, conservation calls, and the notification and performance obligations under each ESA, PPA, utility agreement, and market program; coordinate the load response with site operations and workload planning, and track performance, compensation, and cost. - Oversee the portfolio's contracted or tariff-based load-flexibility capability and the contribution of this capability to Anthropic's ratepayer-protection commitment: curtailment and demand-response participation, flexible-interconnection and non-firm service commitments to utilities and ISOs, and the site-level playbooks for each; work with workload planning on what the compute can actually flex, and commit only where the workload plan supports it. - For the first operating sites, manage counterparty performance and Anthropic's exposure under the ESAs: outage notices, availability guarantees, liquidated damages, dispatch coordination, and the reporting behind them. Know the ESAs and utility load agreements we sign well enough to operate their scheduling, curtailment, availability, flexibility, and ratepayer-protection terms, and partner with legal and energy origination so new agreements are operable. - Determine how much gas the portfolio needs to schedule and build the portfolio's gas scheduling strategy for gas-fired behind-the-meter supply, nominations, hub and index pricing, pipeline capacity and constraints, and work through gas-plant outages and their effect on site availability, including by building relationships with external commodity partners. - Build Anthropic's energy forecasting as an instrument of the availability-risk view: consumption per site from the workload plan, site design, and ramp, and cost against ESA and PPA terms, market and natural gas prices, as the monthly and annual outputs the team and Finance need, including exposure to index-priced volume and the inputs energy origination needs to size new supply. Supply the energy-side inputs and checks that let Finance, Accounting, and Procurement Ops reconcile invoices and settlements against ESA, PPA, and tariff terms and explain the variance; this role will collaborate heavily with energy finance but will not have primary responsibility for financial management of the energy portfolio — the physical position is yours. Track the market information that moves our position — ISO/RTO prices, scarcity and reliability conditions, gas hub prices, ancillary and capacity costs, and tariff, interconnection, and market rule changes — and reflect it in the view. - Work cross-functionally: with energy finance on the financial management of the portfolio, with data center operations on site load, flexibility, and outages, and with other internal teams — workload and site planning, engineering and design, legal, procurement — so the energy position and the physical reality of each site stay aligned. Build and own the processes, data, and tooling for all of the above; partner with engineering and site operations on metering, telemetry, and load data so the availability view, forecasts, and settlements rest on measured consumption. You may be a good fit if you: - Have 8+ years in energy markets, power scheduling, energy procurement, or utility / retail energy operations, including hands-on work with scheduling and settlement review in ERCOT, PJM, NYISO, MISO, or another ISO/RTO market. - Have worked at or directly with an LSE, QSE, scheduling coordinator, retail energy provider, or load-management desk, and know day-ahead and real-time scheduling, settlements, and curtailment / demand-response programs from the inside. - Read ESAs, PPAs, and utility large-load interconnection and service agreements fluently enough to operate their scheduling, availability, curtailment, and pricing terms and to model the exposure they create. - Can predict curtailment for a large load and navigate shortage pricing and reliability events — ISO scarcity pricing, emergency procedures, conservation calls — from experience, not from the rulebook. - Understand gas scheduling — nominations, hub pricing, pipeline constraints — and have worked through gas-fired plant outages and their effect on served load. - Have designed or operated load flexibility for a large load — curtailment, demand response, non-firm or flexible interconnection — and understand the large-load tariff provisions that protect other ratepayers (minimum demand charges, cost allocation, exit and stranded-cost provisions, study and collateral requirements) and how a load operates within them. - Have built or run energy consumption and cost forecasts for large loads — data centers, industrials, or a retail / wholesale portfolio — and can tie a forecast to contract terms and market prices. - Coordinate well across teams that do not report to you — workload planning, site operations, finance, legal, origination — and can give a clear picture of where energy availability stands against need and where it is at risk. - Have stood up a scheduling, portfolio, or operations function from scratch and built the models and processes it runs on. - Possess a bachelor's degree in a relevant domain (e.g., engineering, economics, energy, finance, data science) or equivalent practical experience. It's a bonus if you have: - Experience with data center or other large, fast-ramping load in ERCOT, PJM, NYISO, MISO, or another ISO/RTO market. - Experience with behind-the-meter, islanded, or bridge-power configurations and how they schedule and settle differently from grid-served load, including managing counterparty performance under an ESA or tolling agreement — availability guarantees, outage reporting, liquidated damages, dispatch coordination. - Familiarity with hedging and risk management of energy cost — fixed-price, index, shaped, and block products — and with how hedges sit against physical consumption, enough to work fluently with Finance on it. - Familiarity with natural gas markets and hub pricing, with an emphasis on physical scheduling at regional basis hubs, gas-price indices, pipeline nominations and capacity. - Experience with energy data and metering systems, interval data, and building forecasting models from them. - Exposure to the regulatory and public-affairs side of large-load service — large-load tariff proceedings, interconnection rulemakings, or utility rate cases — and to utility and ISO demand-response, curtailment, and flexible-interconnection programs. - Prior experience standing up an operations or analytics function in a growing team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
AWS Partnerships Lead, DACH
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is hiring an AWS Partnerships Lead to own and scale our AWS co-sell motion across the DACH region. This is our second dedicated AWS GTM hire in EMEA, giving you the rare opportunity to build the playbook for how Anthropic and AWS go to market together in the region — from the ground up. You'll be the face of Anthropic to AWS field teams across DACH, driving joint pipeline, co-selling into enterprise customers, and shaping how frontier AI technology reaches the market through one of our most strategic partnerships. You'll work with limited local scaffolding — which is the point. You'll define the motion, influence stakeholders on both sides, and turn a nascent partnership into a material revenue engine. This is a high-impact, zero-to-one role for someone who thrives in ambiguity, has deep cloud partnerships DNA, and wants to help commercialize frontier AI safely and responsibly. Key responsibilities - Own the AWS co-sell and GTM motion across the DACH region. - Build and maintain trusted executive and field-level relationships across AWS partner and sales organizations in the region - Develop and execute joint business plans, co-selling strategies, and enablement programs tailored to DACH markets - Drive pipeline creation, pipeline influence, and revenue through AWS, owning forecasting and attainment against regional targets - Partner cross-functionally with Anthropic's Sales, Partner Marketing, Product Marketing, and global Partnerships teams to align regional execution with global strategy - Design and run joint customer engagements, marketing moments, and sales plays that accelerate adoption of Anthropic on AWS - Provide market intelligence and competitive insight back into product and GTM teams to inform how we show up in the region - Lead regional business reviews with AWS regional leadership and internal stakeholders Minimum qualifications - Experience in strategic partnerships, cloud partnerships, or enterprise sales within the enterprise technology sector - Direct experience partnering with or working inside a hyperscaler (AWS, Google Cloud, or Azure) - A track record of building cloud partnerships from zero to one — standing up motions without a large local team or pre-existing playbook - Knowledge of the DACH enterprise landscape and the cloud ecosystem operating across it - Experience owning pipeline and revenue targets, with commercial acumen around partner and customer economics - Comfort with ambiguity and a bias toward building Preferred qualifications - 7+ years of enterprise technology experience, with meaningful time spent in a blend of SaaS sales and partnerships roles - Strong familiarity with AWS specifically (versus Google Cloud or Azure) - Experience at a late-stage growth or early-stage startup, especially one that scaled its EMEA presence from a small base - Background working with or alongside developer-focused companies (e.g., Snowflake, Databricks, Datadog) and their cloud partnerships - Exposure to AI/ML or LLMs, either commercially or through personal curiosity - Management consulting experience earlier in your career - Working proficiency in English and French; Italian, or Spanish would be a bonus - Strong ability to navigate complex partner organizations and find the right path to influence senior stakeholders Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €160.000 - €220.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Technical Staff (Software Engineer, Mode...
ABOUT PERPLEXITY AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. ABOUT THE ROLE Perplexity is looking for a deeply technical software engineer to own and evolve our model serving platform, which is responsible for connecting our products and research systems with our inference layers. This mission-critical system gives teams one fast, reliable interface across providers. You will work at the intersection of distributed systems, AI products, and infrastructure. You will make it dramatically easier for teams across Perplexity to adopt new models, run rigorous experiments, and ship dependable products. The ideal candidate combines sound technical judgment forged in production systems with active curiosity around the rapidly changing capabilities and failure modes of frontier models. You will design core abstractions, lead high-conviction technical decisions, and write production Rust and Python for a service that serves hundreds of millions of model requests per day. REQUIRED QUALIFICATIONS - 5+ years of experience building and shipping large-scale systems and services with high reliability, availability, and performance. - Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape. - Proficiency with a general-purpose backend language (Python, Rust, C++, Go) and cloud infrastructure (AWS, Kubernetes). - BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).
Data Center Energy Lead, EMEA
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Infrastructure team is seeking a Data Center Energy Lead, based anywhere in the EU, to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint across the region. This is a multi-country role: from a single EU base, you'll cover several EU jurisdictions. You'll work at the intersection of energy markets, physical power, project development and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with TSOs, DSOs, and regulators across multiple European jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating the complex dynamics of the EU internal electricity market, national wholesale and capacity markets, and Europe's evolving energy regulatory environment to achieve the speed and scale required for frontier AI development. Responsibilities: - Develop creative and novel means of energy deployment - grid connected, behind-the-meter/fence, etc. that drives fastest timelines to energization, while maintaining social license - Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure across EU wholesale electricity markets and national capacity mechanisms, structuring utility partnerships and commercial agreements that prioritise speed-to-energisation and scale - Own utility and regulatory stakeholder management across multiple European jurisdictions, building strategic relationships with TSOs, DSOs, national regulators, and ACER to accelerate connection timelines and unlock constrained capacity - Drive energy markets and policy strategy for AI compute facilities, monitoring EU network codes, national grid codes and regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure - Partner with engineering and delivery teams to translate energy market dynamics and network constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines - Develop deep market intelligence on regional power availability across target European markets, transmission constraints, and connection queue dynamics to inform site selection and deployment strategy - Structure innovative commercial frameworks and partnership models — including PPAs, network use of system arrangements, and behind-the-meter solutions — that enable faster power delivery and mitigate grid capacity risks across Anthropic's European datacentre portfolio You may be a good fit if you: - Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects, with substantial exposure to European energy markets across multiple jurisdictions - Have deep expertise in EU electricity markets (day-ahead, intraday and balancing markets), national capacity mechanisms, network connection processes, and transmission system planning (including ENTSO-E Ten-Year Network Development Plans and national network development plans) - Have experience securing 100+ MW of power capacity and navigating complex network connection agreements, Power Purchase Agreements (PPAs), or other offtake agreement structures in Europe - Are proficient in analysing energy market dynamics, regulatory frameworks (EU network codes, national grid codes and jurisdictional instruments), and grid constraints to inform strategic decision-making - Have strong stakeholder management skills and experience building relationships with TSOs, DSOs, national regulators (such as BNetzA, CRU, ACM, CRE, and others), ACER, policymakers and critical equipment vendors - Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences Strong candidates may also have some of the following: - Past experience with energy procurement specifically for datacentres, high-performance computing, or AI/ML infrastructure - Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads - Experience with regulatory affairs, energy policy advocacy, or engagement with national regulators, TSOs, ACER, ENTSO-E, and the European Commission (DG ENER) and national energy ministries - Background in transmission planning, grid connection studies (including grid code compliance and connection agreement processes), or grid capacity analysis under EU network codes and national grid codes - Understanding of emerging grid technologies (battery energy storage systems, demand response, virtual power plants, distributed energy resources) and how they can accelerate capacity delivery across European markets - Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets, including EU renewables acceleration areas / go-to areas and congested bidding zones and network regions The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £1 - £1 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Member of Technical Staff (Software Engineer, Agen...
ABOUT PERPLEXITY AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. As an engineer at Perplexity, your role will be to build products and systems that define how AI empowers humans to think, decide and act. You’ll ship fast and work between both product and infrastructure advancements in our technology. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. ABOUT THE ROLE Perplexity is looking for a software engineer to evolve the core agent harness that powers our flagship answer experience. You will combine strong product judgment with both single- and multi-agent engineering paradigms to help us build the world’s foremost agent for accumulating knowledge and answering our society’s most challenging questions. You will translate user needs and quantitative insights into improvements to the agent’s orchestration, context management, performance, and reliability. The ideal candidate understands that reliable agents at global scale require excellent observability, rigorous evaluation, and a developer experience that makes failures easy to reproduce and fix autonomously through methods like autoresearch. The same harness will power the training and evaluation of new models, creating a tight feedback loop between production experiences and model improvement that is central to Perplexity’s mission. REQUIRED QUALIFICATIONS - 2+ years of experience building and shipping large-scale AI systems and services with high reliability, availability, and performance. - Strong software engineering craft, with special care for developer experience and designing future-proof systems that can evolve along with a rapidly advancing AI landscape. - Proficiency with Python. Bonus if familiar with Rust and cloud infrastructure (AWS, Kubernetes). - BS, MS, or PhD in Computer Science, Engineering, or related fields (or equivalent experience).
Manager, Applied AI Architect, Enterprise Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: As the manager of the Solutions Architect team within Applied AI Enterprise Tech at Anthropic, you will drive the adoption of frontier AI in partnership with the rest of the go to market organization. Our Enterprise Tech customers are some of the world's most sophisticated technology companies, deploying AI at the core of their products and operations.. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety. You will be responsible for leading and growing the pre-sales team that partners with account executives to help those companies understand and deploy Anthropic’s products, including Claude for Enterprise, Claude Code, and the API. This will include leveraging your technical skills and consultative sales experience to hire great people, establish processes for the team to scale, and represent Anthropic directly at strategic customer engagements. Responsibilities: - Hire, manage, and guide a team of pre-sales Solutions Architects by providing both technical guidance and career development. - Set goals for your team in collaboration with sales and other parts of the organization that establish baseline expectations for performance. - Act as a technical sponsor for high-value strategic customers and advise them on their overall AI adoption strategies or use case scoping and POC execution. - Partner closely with Enterprise Tech sales leadership to identify new strategies to drive adoption of Anthropic products across customer use cases. - Work with cross-functional teams like product and engineering to ensure Anthropic prioritizes customer feedback or resolves blockers to adoption. - Travel to customer sites or conferences for executive-level sessions, technical workshops, and relationship building. - Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products. - Contribute to thought leadership through conference presentations, webinars, and technical content creation. - Stay current with emerging AI/ML trends and the competitive landscape. You may be a good fit if you: - 7+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role. - 3+ years of technical pre-sales management experience. - Have deep technical proficiency with enterprise AI use cases, API integrations, and LLM deployments. - Thrive in building and rapidly scaling teams and processes within ambiguous and fast-moving environments. - Have excellent communication, collaboration, and coaching abilities. - Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams at leading enterprise technology companies. - Have at least a high level familiarity with the architecture and operation of LLMs. - Have a passion for making powerful technology safe and societally beneficial. - Stay up-to-date and informed by taking an active interest in emerging research and industry trends within AI. Strong candidates may have: - Enterprise pre-sales leadership at scale : 5+ years leading solution architect teams through hypergrowth (ideally 10 to 50+ people), with direct experience managing senior individual contributors and developing junior talent in complex enterprise software sales environments. - AI Technical Depth + Executive Engagement : Hands-on experience with AI platforms and enterprise integration patterns, combined with proven track record engaging C-level stakeholders in $10M+ technical evaluations and enterprise sales cycles. - Multi-Segment GTM Experience : Demonstrated success adapting technical approaches across customer segments (commercial to Fortune 100). The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $315,000 - $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Discovery Operations Lead, Litigation & Regulatory
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's legal team operates at the frontier of some of the most consequential legal and regulatory questions of our time — from landmark copyright matters to first-of-their-kind AI regulatory frameworks emerging across dozens of jurisdictions simultaneously. As we scale, the volume and complexity of our discovery and information governance obligations are growing rapidly. We are looking for a Discovery Operations Lead to join our Litigation and Regulatory team and build out Anthropic's discovery operations from the ground up, support active matters, and help drive information governance maturation. This is a unique opportunity to own a critical function at one of the most closely watched companies in the world. You will work hand-in-hand with our litigation and regulatory counsel, outside counsel, discovery vendors, and cross-functional partners such as Security and IT to manage retention, preservation, collection, and production of electronically stored information (ESI) across active matters. Beyond matter-level support and programmatic development of discovery systems and processes, you will also help execute the development of Anthropic's broader information governance program, including data classification standards and defensible disposal practices that keep pace with a rapidly scaling AI company's evolving data landscape. The right person for this role will be equal parts technical operator and strategic thinker. You will help write the playbook for a first-in-class discovery and information governance program. Key responsibilities - Design and operate discovery operations across the full EDRM lifecycle (preservation, collection, processing, hosting, review, and production including for novel and AI-specific data types) - Own the operational design and execution of the legal hold program including custodian identification workflows, hold issuance and tracking, periodic re-notification, custodian acknowledgments, and defensible release - Stand up and administer the discovery technology stack RelativityOne, in-place preservation and collection tooling across Slack, Google Workspace, and internal systems, and supporting analytics and review platforms including configuration, access controls, templates, and reusable workspaces - Design and document standard operating procedures and playbooks that make discovery work defensible, repeatable, and onboardable as the team scales - Operate the discovery vendor program selection, onboarding, statements of work, pricing models, SLAs, performance reviews, and continuous improvement across review providers, ALSPs, forensic specialists, and platform vendors - Serve as a primary day-to-day point of contact between in-house counsel, outside counsel, vendors, and internal technical teams; coordinate matter execution, status, and escalations - Partner with Security, IT, and product engineering to support Anthropic's data landscape, instrument new data sources for hold and collection, and ensure each ESI source has a governed retention, hold, and disposition path - Develop and operate the operational layer of Anthropic's information governance program: retention schedule execution, classification rollout, defensible disposition workflows, and data-inventory maintenance in close partnership with the Discovery Lead and information governance stakeholders - Build the program's measurement and reporting matter status, hold population, data volumes, vendor spend, cycle time, review quality and use it to drive decisions and demonstrate defensibility - Integrate AI and automation into the EDRM lifecycle: generative-AI-assisted review, advanced analytics, custom Relativity applications, and agentic workflow automation for intake, hold tracking, status reporting, and internal documentation - Support active litigation, government investigations, and regulatory inquiries as the operational counterpart on the matter team coordinating workstreams, managing vendor execution, and surfacing operational risk and cost trade-offs to counsel - Design and build internal tools to streamline and manage critical discovery workflows (legal holds, preservation, collection, ECA, and production), and develop dashboards that report on data management trends and cross-matter discovery status Minimum qualifications - Hands-on discovery experience across the full EDRM lifecycle, with demonstrated ownership of operations on complex matters in an in-house legal department, government agency, law firm, or vendor - A track record of founding or rebuilding discovery operations functions defining the operating model, selecting platforms and vendors, and writing the playbooks that make the work defensible at scale - Working knowledge of major discovery platforms (Anthropic uses RelativityOne), including administration, search and analytics, TAR / predictive coding workflows, custom application development, and AI workflows - Strong understanding of the Federal Rules on discovery and evidence, ESI preservation obligations, and proportionality, with the operational fluency to translate those obligations into workflows - Experience operating discovery across modern enterprise data sources Slack, Google Workspace, Microsoft 365, Box, mobile, and engineering systems and an understanding of how to bring novel data sources under preservation and collection - Experience designing and running discovery vendor programs, including evaluation, contracting, SLAs, pricing models, and performance management across multiple concurrent providers - Strong project management instincts and a track record of running multiple concurrent matters and programs under tight deadlines, with composure and precision - Demonstrated ability to communicate technical discovery and operational concepts clearly to attorneys, executives, engineers, and non-technical stakeholders Preferred qualifications - 8+ years of hands-on discovery experience across the full EDRM lifecycle - Experience standing up discovery operations at a young and/or fast-scaling company, particularly in the context of new kinds of ESI - Experience embedding with engineering or product teams to define discovery and information governance requirements, prioritize roadmap, and ship hold-capable and collection-capable features into core enterprise tools - Hands-on integration of generative AI and agentic workflows (e.g., Claude, Claude Code, or similar) into operational discovery work project tracking, status reporting, internal documentation, custom tooling, and script maintenance - Technical fluency working with engineering teams and modern infrastructure APIs, cloud (AWS, GCP), data pipelines, and version control and comfort writing, reading, or maintaining small scripts where useful - Experience operating information governance programs at scale including retention scheduling, data classification, defensible disposition, and data mapping across heterogeneous enterprise data sources - Experience managing significant discovery operating budgets and vendor portfolios, including pricing strategy, cost recovery, and operational efficiency - Experience with applying AI and automation to discovery operations, including generative AI for review, agentic automation, and operational tooling for hold tracking, reporting, and documentation - A collaborative, hands-on orientation, with integrity and genuine curiosity about building operational programs in a fast-moving environment The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $220,000 - $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff AI Researcher
Your work will change lives. Including your own. The Impact You’ll Make: Human biology stems from four billion years of evolution, which creates a proliferation of complexity and heterogeneity. The combinatorial explosion of biological hypotheses easily surpasses the number of atoms in the universe. Meanwhile, medical discovery advances at the snail pace of clinical trials, each taking years and costing over $100 million. As we enter the era of precision health and try to tailor treatments for each individual, continuing on today's discovery processes is clearly unsustainable. With the confluence of digital transformation and intelligence revolution, we have an unprecedented opportunity to develop a unifying biomedical world model by bridging virtual patient and virtual cell, and turning real-world data into a discovery engine to close the loop of clinical care and drug discovery. As a Staff AI Researcher, you will join our cross-functional team of top-notch scientists, engineers, and drug hunters in the quest of scalable biomedical discovery. You will work at the forefront of AI-powered drug discovery, advancing frontier research and end-to-end applications across discovery, design, and translation. The Team You’ll Join: Recursion is a pioneer in AI-native drug discovery. In the past decade, we have built an unparalleled array of infrastructures across drug discovery and clinical development, operating one of the largest AI compute clusters in biopharma, and spearheading industrial-scale phenomics for perturbation data generation at cellular resolution, long before "virtual cell" entered the mainstream. United under the mission of “decoding biology to radically improve lives”, we offer a unique vibrant environment that features frontier research, industrialized wet and dry labs, and real-world delivery, with close feedback loops and rapid iterations, much like a lean startup. You will join fellow experts across research and engineering, biology and medicine, business and operation, who are similarly committed to accelerating biomedical discovery and democratizing precision health for everyone in the globe. The Experience You Will Need: - PhD in ML, NLP, computer vision, or the equivalent practical experience - Passionate about real-world applications and impact - Strong verbal and writing communication skills - 7+ years of frontier AI research experience - Experience with large datasets and cross-functional AI projects - Experience in biomedicine and drug discovery a plus; willingness to learn a must! Working Location & Compensation: This is a fully remote position and can be based anywhere across the United States. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City & Boston Area(s): $263,340 - $309,870 - San Francisco Bay Area(s): $274,100 - $322,500 - Salt Lake City & all other U.S. locations: $239,400 - $281,700 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DNI The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
AI Engineer, GTM Claudification
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an AI Engineer on the GTM Claudification team, you will build the agents and AI systems that run Anthropic's own go-to-market work. Our sellers already work alongside agents every day. You will take things to the next step and build agents that run complete autonomous motions across areas like inbound, outbound, and pipeline management. In addition, you’ll build eval frameworks that prove those agents are ready for customer-facing work and are driving value. This is a senior role where you’ll drive technical direction for agents and evals across our team. Working closely with sellers, RevOps, and our platform engineering partners, you'll own projects from first prototype through production operation. You'll combine full-stack engineering (MCP servers, agentic systems, web applications, etc.) with hands-on evaluation work (behavior benchmarks, production monitoring, ROI measurement), and help architect the shared platforms that builders from across our go-to-market org contribute to. You've worked in cultures of analytical rigor before, and you're eager to help shape the norms and best practices of a growing AI engineering function at a pivotal moment in the company's growth. Key responsibilities - Build and operate autonomous agents that run go-to-market motions end to end, across areas like inbound, outbound, pipeline management, and customer engagement - Design the human oversight for each motion: approval gates, handoffs, and escalation paths that keep sellers in control - Develop evaluation frameworks for agent behavior, and run them in development and in production - Instrument model and tool calls in production, and build the observability and measurement that ties agent actions to pipeline and revenue - Ship MCP servers, agent skills, and web applications that connect to systems like our CRM, communication tools, and data warehouse - Set the technical direction for how we build, evaluate, and operate agents across the team - Architect shared codebases that builders from across go-to-market contribute to, setting the conventions and review practices that keep quality high - Work directly with sellers to ground agent designs in real workflows, and iterate based on what you observe - Identify repeatable patterns and contribute insights back to Anthropic's Product and Engineering teams - Maintain strong knowledge of the latest developments in LLM capabilities, agent frameworks, and evaluation techniques Minimum qualifications - Strong programming skills in Python or TypeScript, with experience building and operating production applications - Production experience with LLMs, including context engineering, agent development, MCP development, tool use, and evaluation frameworks - Experience using evals and transcript analysis to find and fix real problems in an LLM system - Working fluency with data, including SQL - Ability to navigate ambiguity and ship without a spec, finding simple solutions to complex problems - Passion for advancing safe, beneficial AI, and care for the people who use what you build Preferred qualifications - 8+ years in roles such as software engineer, ML engineer, or forward deployed engineer. Former technical founders are encouraged to apply - Experience with the Claude Code and the Claude Agent SDK - Experience with go-to-market systems (CRM, sales engagement, enrichment, conversation intelligence) or time working closely with a revenue team - Experience growing a codebase that many people contribute to, inner-source or open-source - Applied ML and experimentation background: A/B testing, propensity models, recommendations, or causal analysis - Exceptional communication skills to convey technical concepts to non-technical partners with low ego Representative projects (Illustrative of the kind of work, not a project list.) - Build an agent that takes a routine sales workflow from first signal to a drafted, human-reviewed action - Stand up the eval suite for an agent: seed scenarios, scoring rubrics, and regression runs on every change - Ship an MCP server that gives sellers and their agents governed access to a core revenue system - Design a shared repository where go-to-market builders publish agents and skills, with the tests and review rules that keep it healthy - Build a predictive model that explains itself, so an agent can tell a seller why it suggests an action The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Software Engineer, Quality Engineering
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. The role We’re looking for a Senior Software Engineer to help strengthen the Quality Engineering foundation across our SDK teams. This role focuses on building confidence in the quality, reliability, and delivery of SDK solutions across multiple platforms. You’ll work on automation, CI/CD, tooling, test strategy, diagnostics, reporting, and engineering practices that help teams build quality into their work from the start. You’ll work across several SDK teams to understand quality risks, improve workflows, and turn broad or ambiguous problems into practical engineering outcomes. This role needs someone with a strong testing mindset, good technical judgement, and the ability to improve both the systems we use and the way teams think about quality. We’re looking for someone who can operate beyond traditional test automation. The right person will understand how to identify risk, ask good questions, design useful test approaches, improve developer feedback loops, and build tools or processes that make quality easier to achieve. You don’t need to have worked with every tool or domain listed below. You should have strong engineering fundamentals, be comfortable learning unfamiliar technical areas, and be able to apply that learning to real quality engineering problems. What you’ll be doing - Building and improving CI/CD pipelines that support SDK build, test, validation, and release workflows. - Developing Python-based automation and tooling for test orchestration, system validation, diagnostics, reporting, and quality visibility. - Creating, maintaining, and improving automated tests across unit, integration, system, and end-to-end levels. - Applying a testing mindset to engineering problems, including identifying risks, questioning assumptions, improving observability, and designing solutions that are easier to validate and maintain. - Helping teams bake quality into solutions early by influencing design, implementation, testability, diagnostics, and release confidence. - Investigating issues across build, test, deployment, and execution environments, then improving the workflows that allow teams to detect, diagnose, and prevent similar issues. - Supporting Linux and Windows development environments, including cross-platform scripting, automation, debugging, and build/test workflows. - Using test frameworks, quality metrics, reporting, and engineering data to improve quality visibility and support practical test strategy. - Working with SDK teams to clarify quality risks, align on shared initiatives, and turn broad goals into actionable engineering work. - Identifying bottlenecks, fragile processes, gaps in automation, weak feedback loops, or weaknesses in test coverage, then driving pragmatic improvements with the teams involved. - Using AI-assisted and agentic engineering technologies responsibly to improve coding, debugging, test generation, refactoring, documentation, triage, and team efficiency. - Building domain knowledge across SDK areas through planned rotations or focused assignments, contributing useful improvements in new technical contexts. - Balancing immediate delivery needs with longer-term improvements to SDK quality engineering practices, CI/CD reliability, developer feedback, and test effectiveness. - Coordinating with teams across London, Bristol, and Dublin, including occasional planned travel where useful. - Mentoring peers, sharing good engineering practices, and helping influence quality engineering approaches across teams. What we’re looking for - Strong practical Python skills for engineering automation, tooling, diagnostics, test orchestration, or quality-focused workflows. - Experience building, maintaining, or improving CI/CD, build, test, release, or deployment automation, using tools such as Jenkins/Groovy or equivalent systems. - Experience developing, maintaining, or improving automated tests, test frameworks, test infrastructure, or quality-focused tooling. - A strong testing mindset, including the ability to identify risk, understand failure modes, question assumptions, and design practical approaches to build confidence in complex systems. - Experience applying quality engineering practices beyond test execution, such as improving testability, observability, diagnostics, developer feedback, reporting, and release confidence. - Ability to diagnose and resolve issues across complex build, test, CI, deployment, or execution environments. - Comfortable working across Linux and Windows development environments. - Familiarity with test frameworks such as pytest, GTest, or similar, and an understanding of quality metrics, test reporting, or practical test strategy. - Experience using AI-assisted coding tools, LLMs, or agentic technologies to improve engineering productivity, with an understanding of how to review, validate, and apply generated output safely. - Ability to work with ambiguity: asking good questions, identifying risks, breaking broad problems into practical steps, and making sound engineering decisions when every detail isn’t defined upfront. - Pragmatic engineering judgement, including knowing when to build a robust long-term solution and when to deliver a focused improvement that unblocks progress. - Clear communication and collaborative problem-solving, especially when working across distributed teams, resolving unclear ownership, and advocating for quality engineering concerns. - A willingness to take responsibility for quality engineering improvements, including proposing practical options, implementing changes, and following up with the teams involved. Useful additional experience Experience or awareness in 1 or more of the following areas would be useful, but we don’t expect expertise in all of them: - Languages such as C, C++, C#, or Rust. - Build systems such as CMake or similar. - .NET development or testing workflows. - Container, Kubernetes, or VM-based environments. - Desktop application testing. - Graphics APIs or graphics-adjacent testing. - AI/ML, MLOps, or data-driven quality workflows. - Large-scale test infrastructure, reporting, or quality analytics. - Developer productivity, platform engineering, or internal tooling. - Experience introducing or improving AI-assisted engineering workflows within a team. About your background We know strong engineers come from many different career paths. You don’t need to match every item in this advert to be considered. The most important experience for this role is practical engineering work that improves quality, confidence, reliability, or delivery. That could come from quality engineering, SDET, test infrastructure, automation, CI/CD, developer tooling, platform engineering, or complex technical debugging. We’re looking for someone who can operate at a senior level, work well with others, and help raise the quality engineering bar across SDK teams. You should be comfortable thinking beyond individual tests or pipelines. We want someone who can help teams understand risk, build better feedback loops, improve testability, make delivery workflows more reliable, and use technology, including agentic AI, to improve how engineering teams work. If that sounds like work you’ve done, or a natural next step from your experience, we encourage you to apply. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Director, Data Science - Product Management
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Director, Data Science - Product Management San Mateo, CA At Sony Interactive Entertainment, PlayStation creates unforgettable gaming experiences for millions of players around the world. As a global leader in interactive entertainment, we operate at massive scale across a complex digital ecosystem spanning hardware, software, services, commerce, marketing, and player engagement. About the Role We are seeking a Director of Data Science Product Management to lead the strategy, prioritization, and execution of data science to drive better decision-making and player experiences across PlayStation. This role is responsible for portfolio of products across the data science lifecycle - identifying high-value analytical opportunities, shaping predictive and decision products, and ensuring they deliver measurable business outcomes through adoption, monitoring and continuous improvement. The role will lead a team of Data Science Product Managers responsible for applying data science to solve business problems, including capabilities across customer lifetime value, player lifecycle intelligence, forecasting, simulations, audience intelligence and decision automation. The Director will help ensure that SIE’s data science investments are focused on the highest-impact opportunities, built with strong product discipline, and adopted in the workflows where they can create measurable business value. Key Responsibilities - Translate business priorities into structured problem statements, investment cases, product strategies, and measurable outcomes, ensuring data science work is managed as a scalable product portfolio rather than one-off analytical requests. - Drive product strategy and lifecycle ownership for player value and decision intelligence capabilities, such as CLV, engagement and forecasting, ensuring high quality products are advanced from discovery through productionization, adoption, monitoring, iteration, and long-term value realization. - Establish clear criteria for when analytical work should remain exploratory, become a recurring decision process, or graduate into a production-grade product. - Define success metrics and quality standards for data science products, including business impact, adoption, reliability, interpretability, model quality, operational sustainability, and decision quality. - Partner with Data Science and Analytics leaders to ensure rigor across experimentation, causal inference, forecasting, incrementality measurement, model evaluation, and value analysis, while promoting these approaches as core decision-making tools. - Influence senior stakeholders across functions to align strategy, clarify priorities, manage tradeoffs, and drive adoption of data science products. - Guide Product Managers across the product lifecycle while directly leading or sponsoring the organization's highest-impact and most ambiguous product initiatives. - Create a strong Data Science product culture centered on hypothesis-driven discovery, evidence-based prioritization, measurable business impact and close partnership with cross-functional partners. Qualifications - Bachelor’s degree in Business, Data Science, Computer Science, Statistics, Economics, Engineering, or a related field. - 15+ years of relevant experience, including 8+ years in digital product management, data product management, AI/ML product management, analytics product management, or related roles. - 6+ years of people management experience, including experience leading Product Managers or senior product-oriented analytics leaders. - Proven experience leading complex, cross-functional portfolios involving Data Science, ML Engineering, Analytics, Data Engineering, and business stakeholders. - Strong understanding of data science and machine learning workflows, including experimentation, predictive modeling, forecasting, segmentation, recommender systems, lifecycle modeling, productionization, and monitoring. - Experience with products or capabilities related to CLV/LTV, personalization, churn, propensity modeling, forecasting, audience targeting, marketing optimization, commerce, or digital engagement. - Familiarity with modern data and ML ecosystems such as SQL, Python, Snowflake, Spark, feature stores, MLOps tools, model monitoring, APIs, and analytics platforms. - Demonstrated ability to translate ambiguous business needs into product strategies, roadmaps, priorities, and measurable outcomes. - Strong executive communication skills, including the ability to translate technical concepts into business impact. - Experience leading, mentoring, and developing high-performing product teams. Preferred Skills - Experience in gaming, digital commerce, subscription, marketplace, streaming, or consumer technology businesses. - Deep experience with customer intelligence, player lifecycle analytics, personalization, experimentation, audience intelligence, or growth optimization. - Experience defining success metrics and quality standards for data science products, including adoption, reliability, latency, interpretability, fairness, model drift, and business impact. - Experience building product management capabilities, teams, or operating models from the ground up. - Demonstrated ability to use AI-enabled tools, including generative or agentic AI, to improve product workflows, accelerate insight generation, and enhance decision-making. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $273,000 - $409,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Machine Learning Engineer
Who we are About Stripe Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. What you’ll do Responsibilities - Design state-of-the-art ML models and large-scale ML systems for underwriting and portfolio management for Stripe Capital based on ML principles, domain knowledge, risk, regulatory and engineering constraints. - Design systems to speed up the time from idea to deployment of new models. - Experiment and iterate on ML models (using tools including PyTorch and TensorFlow) to achieve key business goals and drive efficiency. - Develop pipelines and automated processes to train and evaluate models in offline and online environments. - Integrate ML models into production systems and ensure their scalability and reliability. - Collaborate with product and strategy partners to propose, prioritize, and implement new product features. - Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions. Who you are Minimum requirements Must have a Bachelor's degree or foreign equivalent in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field, plus two (2) years of experience in Building and shipping ML systems in production. Must have two (2) years of experience in each of the following: - ML algorithms and model architectures; - Designing, training and evaluating machine learning models; - Productionizing and deploying machine learning models at scale; - Orchestrating data pipelines and leveraging large-scale datasets; and - Building and deploying ML models to solve business problems. Must have one (1) year of experience in each of the following: - ML libraries and frameworks including PyTorch, TensorFlow, XGBoost or Spark; and - Deep learning, including transformers, test-time compute, or reinforcement learning. Salary: $212,000 - $318,000/yr. This salary range represents the base salary range for the role and any sales commissions / sales bonuses targets, if applicable, would be in addition to the base salary. 40 hrs/week 50% Telecommuting Permitted. Multiple Positions Available. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. CA29 LI-DNI
Senior Machine Learning Engineer
About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX About the Role You’ll help define how machine learning models run across Cloudflare’s global network, from frontier open LLMs and real-time voice models to customer-deployed models served on heterogeneous GPUs and next-generation accelerators. You’ll work with systems engineers, product teams, hardware partners, and AI/ML engineers to bring models into production with low latency, strong reliability, and efficient resource use. This role combines applied ML, inference optimization, evaluation, and production engineering, with a focus on benchmarking models, improving serving performance, validating quality, and building tooling that helps Cloudflare and its customers ship AI applications at Internet scale. Responsibilities - Develop, optimize, and productionize machine learning models for Cloudflare’s serverless inference platform, with a focus on performance, reliability, and model quality. - Build benchmarking and evaluation frameworks to measure latency, throughput, cost efficiency, and model behavior across LLMs, speech, vision, and other model families. - Improve inference performance through quantization, batching, caching, model compilation, runtime tuning, and accelerator-aware optimization. - Partner with systems engineers to integrate models into Cloudflare’s distributed inference infrastructure across a heterogeneous fleet of GPUs and next-generation accelerators. - Drive improvements to model deployment workflows, including validation, rollout safety, observability, regression testing, and operational readiness. - Collaborate with product and engineering teams to translate customer requirements into scalable ML capabilities for Workers AI. - Mentor engineers, contribute to technical direction, and raise the quality bar for production ML engineering practices across the team. Desirable Skills, Knowledge, and Experience - Experience building, optimizing, and operating machine learning models in production environments. - Strong proficiency with Python and modern ML frameworks such as PyTorch, TensorFlow, JAX, or equivalent. - Hands-on experience with inference optimization techniques for large-scale models, including quantization, batching, caching, compilation, and serving runtime tuning. - Experience with large-scale inference serving frameworks or runtimes such as SGLang, vLLM, TensorRT-LLM, ONNX Runtime, Triton, llama.cpp, or similar. - Familiarity with LLMs, speech models, vision models, embeddings, multimodal models, retrieval-augmented generation, or other modern deep learning architectures. - Experience optimizing models for GPUs or specialized accelerators. - Strong understanding of production ML concerns, including evaluation, monitoring, model regressions, rollout safety, and reliability. - Ability to work across ML and systems boundaries, including familiarity with distributed systems, networking, or serverless platforms. - Track record of leading complex technical projects and mentoring other engineers. Bonus Points - Experience contributing to open source ML tooling, model serving frameworks, or inference runtimes. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Senior Staff Security Engineer, AI Security
At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: As a Senior Staff Security Engineer focused on AI Security, you will be Ripple's deepest technical expert at the intersection of artificial intelligence and security. This is a purpose-built, high-impact individual contributor role that spans two critical mandates: securing AI systems that Ripple builds and operates, and harnessing AI to make Ripple's security function faster, smarter, and more scalable. You will lead the technical strategy for AI security across the agentic SDLC, define and operationalize guardrails for LLM and agentic AI adoption, and build AI-powered security tooling in close partnership with the broader organization to embed AI security into how Ripple operates every day. You will also shape Ripple's external posture on AI security, contributing to industry standards, regulatory discussions, and Ripple's published security practices. WHAT YOU’LL DO: - Drive the AI Security technical strategy and roadmap, defining how Ripple secures its AI systems, governs agentic workflows, and embeds security controls into the AI development lifecycle from day one. - Design and implement security controls for LLM-integrated and agentic AI systems, including sandboxing, identity and permission scoping, runtime monitoring, and containment of autonomous agent actions that exceed authorized scope. - Own AI security across the Controlled Agentic SDLC, establishing security guardrails, AI provenance standards, dual-review requirements, and audit trail controls for AI-assisted development across Ripple Engineering. - Lead the security review and risk assessment of all AI integrations entering production, including LLM APIs, SaaS copilots, AI code editors, agentic workflows, third-party MCP servers, and vendor-embedded AI. - Build and scale Ripple's Shadow AI detection capability, surfacing unsanctioned AI usage, driving adoption of the AI acceptable use policy, and ensuring all AI workflows operate within Ripple's auditable perimeter. - Serve as Ripple's go-to technical resource on agentic AI risks, including MCP server security, tool poisoning, prompt injection at the orchestration layer, and excessive agency in multi-agent systems, translating emerging threats into concrete mitigations with Engineering and Product. - Shape Ripple's external AI security posture, contributing to industry frameworks, engaging regulators, and publishing research that establishes Ripple as a credible voice in responsible AI security. WHAT YOU'LL BRING: - 10+ years of Security Engineering experience with demonstrated depth in at least two domains, such as Product Security, Cloud Security, or Security Operations, and meaningful hands-on exposure to AI or ML security in practice. - Solid understanding of AI and LLM security concepts, including prompt injection, jailbreaks, data poisoning, model extraction, RAG manipulation, and agentic risks such as tool poisoning, excessive agency, and MCP server vulnerabilities. - Experience securing agentic AI systems, including sandboxing, permission scoping, human-in-the-loop design, or runtime monitoring for autonomous workflows. - Fluency with core Security Engineering domains including cloud security on AWS, GCP, or Azure, CI/CD pipeline security, container and Kubernetes security, IAM, and API security, with the ability to reason about how these apply in AI-specific contexts. - Strong threat modeling instincts, whether using STRIDE, MITRE ATLAS, OWASP LLM Top 10, or your own approach, and comfort applying frameworks to architectures where the playbook remains in development. - Experience in FinTech, crypto, or other highly regulated environments is a strong plus, ideally with exposure to frameworks like NYDFS, MAS, DORA, or SOC 2 as they relate to AI adoption. - Proven ability to work across teams, influence technical direction without direct authority, and bring structure to problems that span Engineering, Product, and Security. - A genuine builder's mentality. You are energized by problems without established playbooks, comfortable building in ambiguity, and motivated by raising the bar in an area that is still being defined. Other common names for this role: AI Security Architect, LLM Security Engineer, Agentic AI Security Lead For positions that will be based in NY, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions. NY Annual Base Salary Range $224,000 - $300,000 USD WHO WE ARE: Do Your Best Work - The opportunity to build in a fast-paced start-up environment with experienced industry leaders - A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. - Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. - In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. - Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team - We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances - Competitive salary, bonuses, and equity - Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support - Employee giving match - Mobile phone stipend Take Care of Yourself - R&R days so you can rest and recharge - Generous wellness reimbursement and weekly onsite & virtual programming - Generous vacation policy - work with your manager to take time off when you need it - Industry-leading parental leave policies. Family planning benefits. - Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full-time employees. Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
Senior Engineering Manager, Enterprise AI Product
Why Thunderbird? Thunderbird is one of the world’s most trusted open-source email applications, empowering more than 20 million people globally. At MZLA, the team behind Thunderbird, we build privacy-respecting communication and productivity tools that help people manage their digital lives while staying in control of their data. We are open source by design. Our products are developed transparently and in collaboration with a global community of contributors, and that same spirit shapes how we work: collaboratively, inclusively, and with a shared commitment to putting users first. We are a small but growing company of 60+ people distributed across seven countries. As Thunderbird evolves beyond a single desktop application, we are expanding across desktop, mobile, paid services, and new product experiences that help people and organizations work more effectively without giving up control to big tech ecosystems. Our revenue model combines user donations, which help keep Thunderbird’s apps freely available, with paid services that cover the costs of hosted offerings while supporting long-term sustainability and continued innovation. A note about MZLA and Mozilla: MZLA Technologies Corporation is the nonprofit-owned company behind Thunderbird and part of the Mozilla family. MZLA is separate from Mozilla Corporation and has its own compensation programs, benefits, and employment policies. To learn more, visit www.thunderbird.net and www.thunderbolt.io. The opportunity Thunderbolt is an open-source, cross-platform AI product initiative from the team behind Thunderbird. It is being built around a clear principle: people and organizations should be able to use AI while staying in control of their data, infrastructure, model choices, and long-term options. Thunderbolt is designed to support flexible deployment models, integrations with AI tools and workflows, and use cases across desktop, web, and mobile. We are looking for a Senior Engineering Manager to lead engineering execution, people management, and operating practices for Thunderbolt as it moves from R&D incubation into a more mature product and enterprise development phase . This role will help the team define what production-ready means at this stage: stronger release discipline, clearer ownership, higher user-facing product quality, stronger engineering practices, and a more scalable operating model. This is a hands-on technical management role for a seasoned engineering leader who has helped early-stage products become reliable, production-ready, and enterprise-ready. You will manage and grow a small senior engineering team, stay close to code quality and technical execution , and partner closely with product and technical leadership to turn an open-source, privacy-respecting AI product into something organizations can deploy with confidence. We are looking for someone who has seen this stage before: a promising early product, a small senior team, real enterprise interest, incomplete process, and the need to move quickly without creating fragile systems or one-off customer work. What you’ll do - Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations. - Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development. - Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality. - Partner with technical and product leadership to turn product direction, AI strategy, user experience goals, and technical priorities into coordinated engineering plans. - Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks. - Maintain high standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness. - Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements. - Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and long-term sustainability. - Lead hiring, onboarding, and resource planning as the Thunderbolt engineering team grows. - Help Thunderbolt scale from an incubation-stage product into a reliable, enterprise-ready open-source AI product. What you bring - 15+ years of professional software development experience, including significant experience in senior engineering leadership or complex product delivery roles. - 5+ years of experience managing technical teams, including senior engineers or senior individual contributors. - A track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft. - Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum. - Technical fluency with AI-enabled products, including the ability to evaluate tradeoffs across areas such as LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation. - Demonstrated experience delivering complex applications across multiple platforms, such as desktop, web, and mobile, using technologies such as Tauri, Electron, React Native, or comparable frameworks. - Experience with enterprise software, regulated environments, or similarly complex technical products, including security, privacy, compliance readiness, administration, integrations, and customer-controlled deployment models. - Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled product architectures, including tradeoffs related to data storage, sync, privacy, reliability, and user experience. - Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, CI/CD, maintainability, or technical debt management. - Excellent communication skills around technical prioritization, release risk, ownership, quality expectations, and tradeoffs. Bonus points for - Experience working in open-source or maintainer-style engineering environments. - Experience with compliance or security standards such as SOC 2, HIPAA, ISO 27001, or similar frameworks. - Experience helping take a product from zero to one in a startup or new product initiative. What success looks like Success in this role means helping Thunderbolt make the leap from promising R&D-stage product to a production-ready, enterprise-grade open-source AI product that security-conscious organizations can deploy with confidence . Within the first year, the Senior Engineering Manager should help turn a fast-moving early product into a team and engineering system that can scale by helping the team: - Define what “production-ready” means for Thunderbolt and consistently meet that bar. - Create the clarity, ownership, and release confidence the team needs to ship quickly and sustainably. - Raise the quality of the user-facing product experience while protecting codebase health, maintainability, privacy, and security. - Build the lightweight structure needed for a senior team to do its best work without slowing down experimentation. - Help build Thunderbolt for global scale, enterprise adoption, and real-world impact! Work environment This is a full-time , fully remote position. You’ll work with our passionate staff, open-source community members and partners from all over the globe. Strong communication and documentation skills are essential for effective collaboration across time zones and disciplines. Compensation & benefits We benchmark our base salaries to local markets and target the 60th percentile of the peer market. The salary ranges for this role are: - Canada : $190,000 - $220,000 CAD In addition to competitive salaries, we offer a comprehensive benefits package designed to support your whole self. Work & career - Fully remote work & schedule flexibility - Company-provided laptop - Annual bonus program - Monthly remote work stipend - Annual professional development stipend - Access to Coursera l earning platform - Industry conferences - Company all-hands and team gatherings Rest & play - 24 days PTO per year (prorated) - Your birthday - Year-end company shutdown - 9 wellbeing days - Public holidays - Other paid leave - Quarterly wellbeing stipend for personal / family activities Health & family - RRSP contributions - Health, dental, & vision insurance - Disability insurance - Life insurance - Employee assistance program - Paid parental leave - Paid sick days Work eligibility Applicants must reside in and have permanent work authorization for the country location(s) specified in the posting. We are unable to consider applicants outside of these markets at this time. And, we do not provide visa sponsorship. How to apply Please apply directly through our career page . We carefully review every cover letter and screening question, so take the time to answer each fully. We value authentic, thoughtful responses that reflect your own experience and perspective. It is fine to use AI tools to polish your writing, but your answers should be your own. Candidates who submit generic or unoriginal AI-generated responses may be disqualified from further consideration. Our commitment to diversity, equity, and inclusion MZLA believes in the value of diverse creative practices and forms of knowledge, and knows diversity, equity and inclusion are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. MZLA will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodations@thunderbird.net to request accommodation. LI-REMOTE
Engineering Team Lead, Mistral Cloud
ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The team Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible, from compute orchestration and Kubernetes to bare metal, storage, and networking. European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it. The Role You will own the systems that power our cloud infrastructure. This is a hands-on role. You spend the majority of your time in the code, in architecture decisions, and in the hardest technical problems the team faces. The rest you spend leading a small squad of engineers and partnering with Product Managers to ship what customers depend on. You design the architecture. You write the code. You make the technical calls. Then you clear the path for your engineers to do their best work and push past what they thought they could do. The decisions you make here shape how our infrastructure scales from today's footprint to a gigawatt, and how we turn frontier AI research into production systems used by millions. This is a role for an engineer who leads from the front because that is where the work is, not because management was the next rung on the ladder. What You Will Do - Design and ship the systems. You write Go alongside your team and own the architecture and the hardest implementation decisions, not just the roadmap that tracks them. - Run Kubernetes in production and understand the layers beneath it. You make the calls when the platform breaks at 3am and your engineers learn from how you do it. - Own delivery of your team's roadmap. Projects ship with the reliability and performance that finance, healthcare, and public-sector workloads demand. - Build engineers, not just software. You set the standard for ownership, remove the obstacles in their way, and push them past their comfort zone until the work they ship surprises them. - Partner with Product Managers to set priorities, scope initiatives, and make the technical and business tradeoffs. You translate between what customers need and what the platform has to become. - Define the team's processes and execution rituals. Keep the path clear as the team and the platform scale toward a gigawatt of capacity. - Raise the engineering bar across the org through code review, mentoring, and knowledge sharing. The team you build here sets the technical standard for the whole Cloud Platform org. What We're Looking For - You have shipped production systems in Go. Not dabbled. Shipped. - You have run Kubernetes in anger and understand what happens underneath it. You have worked on Linux directly, not just on managed services that sit on top of it. - You are T-shaped: deep in one area (storage, networking, or observability preferred), conversant across the rest of the stack. We are building new teams in each of these areas and want leads who can help stand them up. - You think like a developer who happens to build infrastructure, not an operator who manages it. You write code that other engineers depend on. - 8+ years building backend or infrastructure systems, with at least 2 years leading engineers. - You have partnered with product, design, and business teams to ship software that reached real users. - A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Software Engineer, User Operations
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE We're hiring a Software Engineer for our User Operations team to own and build our product quality infrastructure and tooling — the systems that capture, triage, route, and acts on customer and product feedback at scale. You'll work on everything from intelligent bug reporting pipelines to software that captures customer feedback at scale to systems that give our business real-time visibility into our strongest Voice of the Customer signals. This is an internal-facing role with direct impact on product quality. You'll be building the systems that close the loop between what customers experience and what gets built — helping us catch problems before our users do, and ensuring the right signal reaches the right people, fast. If building an AI-native, first-of-its-kind Voice of the Customer program from the ground up excites you, this role is for you. WHAT YOU'LL DO - Develop AI-powered systems that synthesize customer signal at scale — separating noise from what matters, routing feedback to the right teams, and surfacing the voice of the customer in ways that actually shape product decisions. - Build dashboards and data pipelines that give engineering and product leaders real-time visibility into bug volume, quality trends, and where their domains stand — by product area, severity, and over time. - Build intelligent bug intake and triage systems — moving from manual, inconsistent prioritization to agentic pipelines that produce well-written, well-prioritized bug reports at scale. - Build integrations across our tooling ecosystem (ticketing systems, payment processes, CRM, data warehouse, etc.) to create seamless workflows. - Partner with domain specialists and support engineers to identify pain points and ship solutions quickly — you're building for an internal team that will tell you exactly what's broken. YOU MAY BE A FIT IF - Experience working cross-functionally to deliver highly impactful, technical projects and systems - Experience building internal tools, developer platforms, or operations infrastructure. - Strong full-stack engineering skills — you're comfortable owning projects from database to UI. - Experience with data pipelines, ETL processes, and analytics tooling. - Deep product knowledge of Cursor and AI-assisted development workflows. - Experience integrating with third-party platforms (ticketing systems, payment processors, CRMs). - Strong sense of ownership and a bias for action — you ship fast and iterate based on feedback. - Self-starter with curiosity, creativity, and a distaste for manual toil.
Director, Regulatory Affairs
Your work will change lives. Including your own. The Impact You’ll Make Recursion is at the forefront of reimagining drug discovery and development through broadening the funnel of potential targets, using technology and standardization to build connected data, and superlinearly scaling our efforts to accelerate the delivery of high-potential drug candidates to the clinic. We are seeking a Director of Regulatory Affairs who will play a critical role in supporting global regulatory strategy, overseeing processes, and identifying and managing regulatory risks for the assigned programs. Collaborate with cross-functional leads to support the development of regulatory strategies and implementation for all jurisdictions as applicable to the program. Plan and perform critical reviews of documents for consistency and quality, and identify gaps in critical documentation in alignment with the regulatory strategy with the intention of achieving successful registration and lifecycle management of unique products. In this role, you will: - Build intra- and inter-team relationships and collaborate in a global team environment at all levels of the organization to ensure management of regulatory strategy and activities in all applicable regulatory jurisdiction (e.g. EU, US, UK) for the global development of products through all stages of development and post approval. Participate in global product team meetings; provide regulatory support and guidance and manage day-to-day regulatory activities - Manage complex issues and coordinate multiple projects simultaneously in a time-sensitive fashion while practicing sound judgment as it relates to risk assessment (immediate and long term impact on program) - Create and follow procedures for regulatory execution and implementation of regulatory strategies while actively supporting program leads via the Clinical Study Teams (CSTs) to deliver on business objectives for assigned products/programs (e.g. clinical trial applications, marketing authorization applications, orphan drug designation applications, pediatric submissions, etc.). Create, collaborate and comply with disclosure and transparency policies for applicable jurisdictions - Collaborate with strategic operations and other functions (e.g. Clinical, Commercial, Medical Affairs, amongst others) to provide regional regulatory insight for futuristic planning and considerations for the program - Serve , as needed, as the point of contact with relevant Health Authorities and/or lead interactions with such authorities or other relevant external stakeholders - Review and interpret regulatory guidelines and create a communication plan to distribute relevant impact assessment. Creatively think outside the box on how to influence and shape the future of regulatory sciences as it relates to use and validation of unprecedented use of technology to develop drugs effectively for faster paths to patients. - Learn : Keep current with regulations and guidance documents; attend meetings, seminars, conferences on relevant topics; read journals, newsletters, scientific papers; research the answers to RA questions. Represent regulatory function and demonstrate respectful behavior, leadership, ethics and transparency The Team You’ll Join Reporting to the Vice President, Regulatory, you’ll lead the development of regulatory strategies for assigned programs. You’ll work collaboratively with fellow team members and stakeholders from toxicology, pharmacology, and clinical development to support clinical programs (IND-enabling and clinical-stage assets) in alignment with Recursion’s regulatory strategy. The Experience You’ll Need - A minimum of 10 years in the pharmaceutical industry with a minimum of 8 years in Global Regulatory Affairs, experience with major Health Authority (US FDA, Health Canada, UK MHRA and EMA) is mandatory. Oncology, rare disease and I&I is good to have. - Minimum of 8 years experience with regulatory submissions (e.g. Investigational New Drug Applications(INDs), New Drug Applications (NDA/NDS/MAA), post marketing measures, Paediatric Investigation Plans (PIP)/(PSP) and Orphan Drug Designation (ODD), Breakthrough Designation (BTD), EU PRIME activities) are mandatory. - Strong understanding of regulatory strategy and implementation of operational activities. Outstanding management, interpersonal, communication, negotiation, and problem-solving skills. Demonstrated proficiency in organizational awareness, including experience working cross-functionally and on global teams Working Location & Compensation: This role is remote-friendly, with most work conducted from home. There may be occasional opportunities or expectations for travel to our London Office. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is £111,100 to £141,800. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-REMOTE LI-ES1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Director, Clinical Pharmacology
Your work will change lives. Including your own. The Impact You’ll Make You will join an innovative and passionate clinical development team dedicated to improving the lives of patients suffering from devastating diseases. You will lead the innovative clinical pharmacology and pharmacometrics strategy and execution for a portfolio of rare disease and oncology clinical programs. In this role, you will: - Develop the clinical pharmacology and pharmacometric strategies to accelerate and support the overall product development plan. You’ll be the Clinical Pharmacology lead for various programs in clinical development, the representative for regulatory interactions, and propose innovative strategies to get therapies to patients faster. - Design clinical studies. You’ll provide (clinical) pharmacology input on all clinical study designs, from Phase 1-3 and dedicated Phase 1 clinical pharmacology studies. - Author review relevant clinical pharmacology sections for regulatory documents, including Investigator's Brochures (IB), INDs, NDAs, and other regulatory submissions. Act as the clinical pharmacology expert during interactions with health authorities. - Interface with cross-functional teams. You’ll work closely with clinical study teams, translational teams (DMPK, Translational Modeling and Toxicology), preclinical teams and due diligence teams to ensure clinical pharmacology-related considerations are addressed. - Solve drug development questions/problems by overseeing and/or performing modeling and simulation with various tools to expedite decision making. The Team You’ll Join You will join the Development Sciences team within Recursion comprising clinical pharmacology, pharmacometrics, translational modeling and clinical biomarkers. The Development Sciences group sits within Recursion’s Clinical Development organization. Team members get to sit on both Discovery and Development projects and work in a seamless end-to-end environment at Recursion. The team collaborates closely with clinical development functions (clinical science, clinical operations, regulatory affairs, biostatistics, etc.), as well as discovery functions (DMPK, Biology, Chemistry and Translational Biomarkers). The Experience You’ll Need - Ph.D. in Pharmaceutical Sciences, Pharmacokinetics or related discipline, M.D with a Clinical Pharmacology expertise, or a Pharm D. with a Clinical Pharmacology fellowship, with 5-9+ years of experience in biotech/pharmaceutical drug development. - Demonstrated success leading all clinical pharmacology related aspects of drug development. - Ability to work closely with internal and external stakeholders to manage PK, PK-PD, and PK-safety analyses, including non-compartmental analysis, population PK modeling, and PK-PD modeling and simulations to support dose selection, exposure-response and exposure-safety analyses through various phases of drug development. - Proficiency with WinNonlin, Monolix, NONMEM, R or other modeling software. - Effective skills directed toward driving collaboration, achieving results, influencing, and resolving conflicts across internal and external stakeholders - Demonstrated experience responding to regulatory agency questions, preparing clinical pharmacology aspects of regulatory submissions and attending regulatory meetings. - Highly motivated, decisive, and results-oriented individual who is proactive, resourceful, and efficient with the flexibility and creativity to excel in and contribute to a rapidly growing drug discovery and development company Experience in oncology is preferred, but not an absolute requirement. Working Location & Compensation: Making London or Oxford (Milton Park) your home base is ideal; however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: £118,300 –£136,500 . In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-REMOTE LI-ES1 The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Senior Technical Recruiter - Hardware
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the team The Talent Acquisition team works with SambaNova leadership to build the teams behind the Reconfigurable Dataflow Unit (RDU), the chip powering our full-stack AI platform. About the role We are looking for a Senior Technical Recruiter to partner with hardware engineering. You'll own full lifecycle recruiting for Design Verification, ASIC design, physical design, and PCB/systems engineering, working directly with hiring managers to define roles, calibrate pipelines, and close top talent in a competitive market. This is 6-month contract with the option to extend or covert to a full-time position based on performance. Responsibilities - Partner with hardware hiring managers to define roles, write job descriptions, calibrate pipeline, and design interviews - Source passive silicon talent through LinkedIn, GitHub, referrals, conferences, and targeted outreach into the semiconductor community - Own full lifecycle recruiting for hardware roles across Design Verification, ASIC/RTL design, physical design, and PCB/systems engineering - Keep feedback loops tight across interviewers and stakeholders - Maintain accurate data in Greenhouse and track the metrics that matter Required Experience - 5+ years of technical recruiting experience focused on semiconductors - Proven track record filling roles such as Design Verification, ASIC/RTL Design, and Physical Design - Demonstrated success sourcing and closing passive talent - Existing network within the silicon engineering community - Ability to influence senior engineering leadership - Excellent creative writing skills - Strong organizational skills - AI fluency with the ability to enhance productivity and workflows - Proficiency with Greenhouse Base Salary Range: Base Pay Range $170,000 - $230,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Field & Partner Marketing Manager
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the Role SambaNova is looking for a highly strategic and execution-focused Field & Partner Marketing Manager to lead regional field and partner marketing initiatives. This role is responsible for driving pipeline growth across a designated geography by aligning marketing investments with sales priorities, accelerating partner engagement, and delivering high-impact field programs. As the regional marketing leader, reporting to the VP of Demand and Field Marketing, you will serve as the primary marketing partner to the Area Vice President (AVP) of Sales and regional partner teams, owning the execution of integrated campaigns, executive events, partner co-marketing initiatives, and localized demand programs that contribute directly to pipeline and bookings targets. This is a hands-on, high-visibility individual contributor role designed for someone who thrives in a fast-paced environment and is passionate about translating business strategy into measurable revenue outcomes. What You'll Do Regional Demand & Pipeline Generation - Own the regional field marketing activations strategy and execution plan aligned to quarterly and annual pipeline goals. - Partner closely with Comms, Demand Generation, Marketing Operations, Product Marketing, and Digital teams to localize global campaigns and optimize regional performance. - Track, measure, and report on marketing contribution to pipeline, bookings, and ROI. Field Marketing & Executive Engagement - Plan and execute regional events, executive roundtables, customer workshops, and third-party sponsorships. - Develop account-based marketing (ABM) programs in partnership with Sales to engage strategic target accounts. - Support executive engagement opportunities, including customer meetings, industry conferences, and VIP experiences. - Ensure consistent follow-up and campaign orchestration before, during, and after field activations. Partner Marketing & Ecosystem Development - Lead regional partner marketing strategy across cloud, technology, channel, and strategic alliance partners. - Build and execute joint go-to-market campaigns, co-sponsored events, webinars, and content syndication programs. - Collaborate with partner account teams to maximize MDF investments and drive measurable pipeline outcomes. - Support partner enablement initiatives and help scale awareness of SambaNova solutions across the ecosystem. Cross-Functional Leadership - Act as the central marketing point of contact for regional Sales, Partner, and Business Development teams. - Partner with Marketing Operations to ensure accurate campaign tracking, attribution, and reporting. - Work closely with Corporate Marketing and Communications to amplify regional customer stories, announcements, and thought leadership. - Bring market insights and customer feedback back to Product Marketing and executive leadership to influence strategy. What We're Looking For - 8+ years of experience in B2B enterprise technology marketing, with significant experience in field marketing, partner marketing, demand generation, or integrated campaigns. - Proven track record of building and executing programs that generate measurable pipeline and revenue impact. - Experience partnering directly with enterprise sales organizations and regional leadership teams. - Strong understanding of account-based marketing, partner ecosystems, and enterprise buying motions. - Experience managing executive events, customer engagement programs, and strategic partner activations. - Analytical mindset with the ability to interpret campaign performance and optimize investment decisions. - Excellent communication, project management, and cross-functional collaboration skills. - Ability to work independently, manage multiple priorities, and thrive in a high-growth, high-accountability environment. Preferred Qualifications - Experience in AI infrastructure, cloud, semiconductors, enterprise software, or high-performance computing markets. - Familiarity with partner ecosystems including cloud providers, OEMs, systems integrators, and channel partners. - Experience working in a global organization with distributed sales and marketing teams. - Proficiency with Salesforce, marketing automation platforms, and modern marketing analytics tools. Base Salary Range: Base Pay Range ¥15,700,000 - ¥19,200,000 JPY Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Software Engineer, Pretraining
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering. Our organization is very flat, and our team is small and talent dense. We particularly like people who are truth-seeking, passionate, and creative. We enjoy spirited debate, crazy ideas, and shipping code. ABOUT THE ROLE We’re looking for Software Engineers to build the data systems behind our frontier coding models’ initial training. You’ll work on large-scale crawling, data platform, and pipeline infrastructure, turning raw dumps into the datasets our models train on, and making iteration with researchers fast and reliable. - The Data Quality team owns the entire road between raw internet-scale data and the tokens that train frontier models. This team makes sure the right data, in the right form, hits the training clusters on time and at the quality bar required to push the scaling curve. This is done by building our own models, our own high-performance pipelines, and by running the experiments that prove the data is actually stellar. - The Data Platform Team owns the infrastructure and pipelines that transform raw data dumps into training-ready datasets. This team improves the speed, reliability, and developer experience of our initial training data pipelines so researchers can quickly experiment with new data sources, quality filters, taxonomies, multimodal data, and data mixes that improve model performance. - The Crawling team owns large-scale web crawling and parsing that feeds the top of the funnel for initial training. They discover, schedule, fetch, and parse public web content so high-quality documents become the raw scrapes that Data Quality and Data Platform turn into tokens and mixes. This is deep distributed systems work with real ownership: host coverage and prioritization, fetch success under antibot and trap content, HTML/document parsing quality, and reliability of the crawl infrastructure that must continuously supply every downstream data pipeline. WHAT YOU’LL DO - on the Data Quality Team: - Build and own high-throughput, fully telemetered data pipelines that process frontier-scale data with end-to-end traceability. If something breaks or drifts, your systems will tell us before the training run does. - Train and ship models that classify, rank, filter, clean, and identify data at extreme throughput. These models have to be both accurate and fast enough to sit in the critical path without becoming the bottleneck. - Design and run scaling-ladder experiments on data-mixture, repeatability, and quality depth that turn “this dataset feels good” into hard evidence the training team can trust. - Partner tightly with Data Acquisition to hunt down missing or low-quality sources, and with the training teams to close the loop on what actually moves loss and downstream evals. - Treat data quality as a systems problem and a research problem. You will write performance-critical code one week and design careful experiments the next. - on the Data Platform Team: - Build the platform that turns raw web, code, multimodal, and acquired data into training-ready datasets for frontier pretraining runs. - Own the pipelines, orchestration, and tooling that make pretraining data iteration fast, reliable, observable, and reproducible at scale. - Create clear signals for data quality, lineage, freshness, and pipeline health so researchers can trust what goes into each run. - Partner with initial training, crawling, data quality, and acquisition teams to turn new data ideas into measurable improvements in loss, evals, and model capability. - on the Crawling Team: - Build and scale the web crawling systems that discover, schedule, fetch, and parse high-quality documents across the open web for initial training. - Improve URL seeding, scoring, and fair host scheduling so crawl capacity lands on the hosts and pages that matter most for model quality. - Raise crawl success and parsing quality — defeating antibot failures, improving extractors, and capturing content we previously could not get cleanly. - Debug and harden complex crawl infrastructure end-to-end for availability, recovery, and ingestion lag, and automate delivery of crawl datasets into the data pipeline. - Work independently (and alongside AI agents) and partner with Data Quality and Data Platform so new coverage shows up as better tokens in training runs. YOU MAY BE A FIT IF - You have a strong infrastructure or data platform background, and ideally a spike of outlier depth somewhere (crawling/search infra is a plus, not a hard requirement) - You are a high-slope engineer who has moved unusually fast — for example, staff-level ownership within a few years — or you bring deep domain experience - You are able to architect and ship end-to-end with high ownership, debug complex systems independently, and work alongside AI agents - You have strong intuitions about large-scale distributed systems - You’re excited to learn how pre-training data shapes model quality, and want the ownership and visibility that comes with building systems that feed frontier training runs #LI-DNI
Software Engineer, Business Technology
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for product engineers to build internal products. This role sits at the intersection of engineering, product, and design—you'll own outcomes, not just tasks. You'll work directly with users to understand their needs, identify the patterns behind their requests, and build the right abstractions that unlock capabilities for everyone. What you'll do: - Rapidly design, prototype, and ship full-stack features across backend, frontend, and infrastructure - Consult with users and stakeholders to understand workflows and identify the highest-impact opportunities - Spot patterns across user requests and reduce them into primitives, platforms, or middleware that support a variety of use cases—not just one-off features - Build tools that maximize autonomy and creative freedom for less-technical users - Make product and prioritization decisions, not just execute on specs handed to you - Iterate quickly based on feedback to continuously improve the user experience - Pick up new tools, frameworks, and domains as the product evolves You may be a good fit if you: - Have 6+ years of experience building production software, ideally full-stack - Can operate as a team of one when needed—you're independently capable of taking a product from idea to shipped, even if you won't always work that way - Think in systems and abstractions—you see the platform behind the feature request - Care about empowering users, not just building for them - Own outcomes, not just code—you care whether the thing you built actually solved the problem - Are comfortable making decisions with incomplete information and operating with ambiguity - Hold yourself to a high bar without needing external pressure Strong candidates will have: - Proficiency across the stack (we use Python, TypeScript, React) - Experience building platforms, primitives, or internal tools that others build on top of - A track record of shipping products independently—not just contributing to larger efforts Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Sales Director, Enterprise
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Korea. This role is critical to Anthropic's APAC expansion. You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Korea. The ideal candidate will have a deep understanding of Korean business culture, a passion for developing people, and the ability to navigate Korea's relationship-driven, conglomerate-centric enterprise sales environment. Key responsibilities - Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success - Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas - Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems - Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Korean enterprise buying cycles and decision-making processes - Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales - Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails - Build strong partnerships across the organization to drive strategic initiatives - Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments, including Korea's large conglomerates and fast-growing digital-native companies - Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build alignment You may be a good fit if you have: - 15+ years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies - 5+ years of sales leadership experience within the Enterprise segment - Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs - Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations - Strong technical acumen with ability to enable credible AI conversations - Track record of successful partnership with technical teams throughout the customer journey - Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries - Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives - Experience managing complex enterprise sales cycles and helping AEs secure strategic deals - Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives - Strategic approach to market analysis combined with tactical excellence in execution - Passion for AI technology and commitment to its safe, responsible development - Business-level Korean required; English proficiency strongly preferred Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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