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Manager, AI Platform Engineering
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. Join Ripple Labs Inc. as the Manager, AI Platform Engineering in Chicago, IL, and spearhead our bold venture in AI platform development! This remarkable opportunity enables you to craft the future of our AI platform, GSmart, powering smart features across our enterprise treasury products. You will be involved in greenfield projects, bringing insight and focus to undefined problems. You will also work hand-in-hand with product and solution teams to convert customer challenges into fluid technical solutions. Responsibilities - Own the AI platform roadmap and delivery end to end - Ensure platform AI is measurable and dependable - Work together with product and solution teams to address real customer challenges - Enable teams to build on the platform and own their deliverables - Hire, mentor, and grow the platform ai engineering team - Stay actively involved and contribute to architecture and full-stack production code Requirements - 7+ years of software engineering experience, including full-stack development and AI/ML platform infrastructure - 2+ years of engineering management experience - Strong full-stack development skills — front-end through back-end and APIs — with solid cloud infrastructure experience - Experience operating AI systems in production - Deep, current command of AI and modern LLM/GenAI infrastructure Join us and play a role in advancing the future growth of AI platform engineering at Ripple Labs Inc.! 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 $212,000 - $265,000 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.
Staff Machine Learning Engineer(Platform - Identit...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Staff Machine Learning Engineer, Identity Verification As a Staff Machine Learning Engineer on the Identity Verification team within the Platform group, you'll own the ML systems that determine whether a person, document, and capture session are legitimate. Every signup, account recovery, and high-risk action at Coinbase depends on these models. You'll lead the technical strategy for IDV ML end-to-end, from architecture through production enforcement, protecting the integrity of millions of accounts. What you'll do: - Own the full IDV ML stack, including document authenticity models, 1:1 and 1:N face-match, liveness detection, presentation-attack detection, and deepfake/injection detection from feature pipeline through threshold tuning and production enforcement. - Build identity-graph systems using GNNs that cluster accounts sharing biometric, device, and document signals to detect synthetic-identity rings and coordinated fraud at onboarding. - Develop behavioral and device-intelligence models for capture-session anomaly detection, bot-vs-human classification, and device-fingerprint-based risk scoring at real-time latency. - Drive vendor ML strategy by benchmarking external models against a Coinbase-owned evaluation set, designing dynamic routing logic across providers and geographies, and building the in-house evaluation layer that catches regressions before they reach users. - Lead and mentor senior and mid-level engineers in the pod while partnering with ML Platform and Risk ML teams to align cross-company ML system design. Required Skills and Experience: - 8+ years deploying production ML systems at scale, with proven technical leadership owning cross-team ML architecture from design through production. - Domain experience in identity verification, biometrics, or account integrity with deep applied ML in at least two of: computer vision/biometrics, GNNs, sequence models, or NLP/LLMs. - Expert-level Python with production experience in TensorFlow or PyTorch, including model training, evaluation, and serving infrastructure. - Track record translating KYC/AML requirements and fraud trends into ML roadmaps and communicating trade-offs to Product, Compliance, Risk, and Security stakeholders. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $218,025 - $256,500 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Senior Machine Learning Platform Engineer(Platform...
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Senior Machine Learning Platform Engineer As a Senior Machine Learning Platform Engineer on the ML Platform team within the Platform group, you'll build the foundational infrastructure that powers feature engineering, model training, and model serving across Coinbase. The platform you build supports fraud detection, user personalization, and blockchain analysis. You'll own critical systems spanning stream processing, distributed training, and highly available inference services, directly shaping how ML scales across the company. What you'll do: - Own the design and reliability of ML inference infrastructure serving both predictive models and LLMs, maintaining high availability and low latency at scale. - Build and optimize low-latency streaming pipelines that deliver fresh, high-quality feature data to production ML models. - Drive improvements to distributed training infrastructure, enabling ML engineers to process large data volumes efficiently. - Develop observability tooling to monitor data quality entering models and detect degradations impacting model performance. - Mentor junior engineers on building production-grade software, raising the team's engineering standards over time. Required Skills and Experience: - 5+ years of industry experience as a software engineer, with demonstrated ownership of distributed systems in production environments. - Built and operated low-latency data or ML infrastructure (streaming pipelines, online serving systems, or distributed training) processing data at scale. - Track record of mentoring engineers and raising team engineering quality through code reviews, design reviews, and technical leadership. - Familiarity with ML platform components (feature stores, model serving frameworks, training orchestration) sufficient to partner effectively with ML engineers as a platform builder. - Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality. Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). Annual base salary range (excluding equity and bonus): $191,250 - $225,000 USD - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Perplexity Research Fellowship
Welcome to the application portal for the Perplexity Research Fellowship ! The Perplexity Research Fellowship is our flagship program for enabling the best early-career STEM talent to shape the future of frontier intelligence. - Please refer to the program homepage for full details on the Perplexity Research Fellowship and application process. - When you're ready to apply, please complete and submit the application form. Make sure to carefully follow all instructions . - We'll evaluate applications on a rolling basis, with priority consideration for submissions received by September 30, 2026. - You should write your application without assistance from other humans or AI models. Submitting writing from other humans or AI models as your own will result in permanent disqualification from employment at Perplexity. - Please note that the Perplexity Research Fellowship is not an internship program for students seeking research experience between school terms. If you're currently a student and your requested Fellowship start date is before your graduation date, we will request verified proof of an approved leave of absence of 1 year or greater from your university as a precondition to any Fellowship offer.
Infrastructure Operations & Sustainability Lead
About the Team OpenAI’s Industrial Compute organization is building and operating the infrastructure required to support frontier AI at unprecedented scale. The organization works across data center development, power, design and construction, hardware, supply chain, deployment, facilities operations, and external partnerships. As this infrastructure footprint grows, OpenAI must ensure that sustainability, operational reliability, and responsible development are incorporated into infrastructure decisions from the beginning rather than addressed as separate downstream initiatives. About the Role We are seeking an Infrastructure Operations & Sustainability Lead to develop and execute the sustainability strategy for OpenAI’s global infrastructure portfolio. This role will translate environmental priorities and external commitments into practical operating requirements across site selection, data center design, construction, equipment procurement, deployment, and ongoing operations. You will build the frameworks, metrics, governance, and cross-functional programs required to improve environmental performance while preserving the speed, reliability, and scalability demanded by OpenAI’s infrastructure roadmap. The role will partner closely with infrastructure operations, site development, engineering, construction, power, hardware, supply chain, finance, legal, public policy, government affairs, communications, and external infrastructure partners. This is a senior leadership role requiring infrastructure fluency, sustainability expertise, executive judgment, and the ability to drive complex initiatives across organizational boundaries. Key Responsibilities - Develop and maintain a comprehensive sustainability strategy for OpenAI’s global compute infrastructure. - Translate sustainability objectives into actionable requirements for site selection, design, construction, procurement, commissioning, and operations. - Establish decision frameworks that balance environmental impact with infrastructure reliability, deployment speed, cost, and scalability. - Develop strategies addressing operational and embodied carbon, water stewardship, materials, construction impacts, waste, circularity, and equipment lifecycle management. - Partner with data center engineering and operations teams to identify practical improvements in infrastructure efficiency, resource use, resilience, and operational performance. - Incorporate sustainability considerations into self-build, colocation, cloud, and strategic infrastructure-partner decisions. - Establish measurable goals, operating metrics, dashboards, and governance mechanisms for infrastructure sustainability programs. - Improve the quality, consistency, and auditability of environmental and operational data across internal teams and external partners. - Work with hardware, manufacturing, and supply chain teams to develop supplier requirements and lifecycle strategies for infrastructure equipment. - Evaluate emerging technologies, design approaches, and operating practices and determine which should move from pilot programs into scaled deployment. - Develop business cases that clearly communicate environmental impact, implementation requirements, cost, schedule, and operational tradeoffs. - Partner with Public Policy and Government Affairs on infrastructure-related sustainability positions, regulatory developments, and external engagement. - Represent OpenAI in conversations with infrastructure partners, industry organizations, policymakers, community stakeholders, and other external parties. - Provide executive leadership with clear assessments of progress, material risks, strategic choices, and recommended actions. - Build repeatable playbooks that allow sustainability practices to scale across sites, geographies, infrastructure partners, and technology generations. Qualifications - 12+ years of experience in sustainability, infrastructure operations, environmental strategy, data center infrastructure, the built environment, or a related field. - Experience leading sustainability or operational-improvement programs across a large, complex, and geographically distributed organization. - Demonstrated ability to translate high-level environmental objectives into practical engineering, procurement, construction, and operational requirements. - Strong understanding of carbon, water, materials, waste, circularity, and lifecycle considerations within physical infrastructure. - Experience building metrics, governance systems, and executive reporting for complex operational programs. - Ability to evaluate technical, financial, environmental, regulatory, and reputational tradeoffs together. - Strong cross-functional leadership and the ability to influence senior stakeholders without relying on direct authority. - Experience working with external partners, suppliers, regulators, policymakers, or industry organizations. - Excellent written and verbal communication, including the ability to make complex subjects clear and decision-ready for executives. - Comfort operating in a fast-moving environment with incomplete information, changing priorities, and significant external scrutiny. Preferred Skills - Experience with hyperscale data centers, cloud infrastructure, industrial facilities, or another power- and resource-intensive operating environment. - Familiarity with data center design, construction, facilities operations, hardware supply chains, and infrastructure-development lifecycles. - Experience with embodied-carbon reduction, sustainable construction materials, water-positive programs, equipment circularity, or infrastructure-efficiency initiatives. - Knowledge of greenhouse-gas accounting, environmental disclosure frameworks, lifecycle assessment, and sustainability-related data systems. - Experience developing external partnerships or industry initiatives that produced measurable operational outcomes. - Familiarity with energy procurement and utility policy sufficient to partner effectively with dedicated power and energy teams. - Experience building or leading multidisciplinary sustainability and infrastructure programs through periods of rapid organizational growth. 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.
Member of Executive Operations, Seattle
About the Team Our Executive Operations team serves as trusted advisors and collaborators to OpenAI's executives and leaders, focused on strong communication and operational excellence across teams. With a focus on elevating the impact and efficiency of leadership, we anticipate needs, streamline processes, and provide comprehensive support to ensure our executives can focus on high-impact initiatives. We are pivotal in driving success and achieving key milestones by cultivating strong relationships and leveraging our deep understanding of business objectives. With a commitment to excellence and a proactive approach, we are dedicated to empowering our executives and contributing to the overall growth and success of the company. Our leadership team reflects OpenAI’s culture and core values and is a mission-driven, kind, and thoughtful group. We take pride in creating a work environment that fosters collaboration, open communication, and authenticity, making OpenAI an excellent place to work for highly accomplished professionals. About the Role This team member will be a proactive and adaptable partner to leaders, supporting complex calendar and schedule management, expenses, team meetings and events, and travel as needed. The role requires a high level of coordination across internal and external engagements, working closely with other members of Executive Operations. This role is based in Seattle, WA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will - Manage complex calendars, balancing competing priorities while ensuring leaders’ time is aligned with business needs. - Coordinate internal and external meetings, resolve scheduling conflicts, and facilitate effective communication across stakeholders. - Plan and manage domestic and international travel, ensuring seamless logistics and execution. - Support team operations, including All Hands meetings, offsites, happy hours, and other team events. - Process and manage expense reports in accordance with company policies. - Build strong working relationships across teams and develop trusted partnerships with the leaders you support. - Help improve operating rhythms, identify opportunities to streamline processes, and contribute to operational excellence. - Collaborate closely with other members of Executive Operations to support high-impact initiatives and cross-functional work. - Exercise sound judgment, professionalism, and discretion when handling confidential information. You might thrive in this role if you have - 4 to 7 years of executive support, executive operations, or similar experience. - Experience supporting one or more senior leaders in a fast-paced, high-growth environment. - Demonstrated experience managing complex calendars, scheduling across multiple stakeholders, and resolving competing priorities. - Experience coordinating complex travel, meetings, and other operational needs with strong attention to detail. - Excellent written and verbal communication skills with the ability to tailor communication to different audiences. - A collaborative mindset and enjoy partnering across teams to solve problems and move work forward. - Strong organizational skills and the ability to operate independently in an environment with changing priorities. - Fluency with Google Workspace, Slack, and modern productivity tools, with curiosity to learn new technologies. - Interest in AI and the technology OpenAI is building. - Comfort working in a fast-moving and often ambiguous environment. 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.
Dedicated Support Engineering Lead
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Within Premium Support, Dedicated Support Engineers combine deep technical troubleshooting with an enduring understanding of our most strategic customers’ architectures, critical workloads, and business priorities. Through proactive reliability work, ownership during incidents, and AI-powered support capabilities, we help customers operate successfully as their use of OpenAI grows. About the Role We’re looking for a senior leader to build and scale our Dedicated Support Engineering function globally. You will define its strategy, build the team, and establish how we deliver technically rigorous, proactive support for customers running some of the most complex and consequential workloads on OpenAI. This role combines organizational leadership, technical judgment, and executive customer engagement. You will establish a model in which DSEs develop deep customer context, independently advance difficult investigations, anticipate operational risks, and drive issues through resolution. You will also turn what the team learns into improvements that benefit customers across OpenAI. You should bring experience building technical organizations that maintain long-term accountability for enterprise customers. Leadership in Technical Account Management, enterprise Support Engineering, or a comparable technical customer function is particularly relevant. Success requires a strong foundation in production troubleshooting and reliability, alongside the ability to build trusted relationships with customer engineering leaders and executives. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role you will... - Set the strategy for Dedicated Support Engineering. Define the function’s charter, service model, priorities, and growth plan. Translate customer needs and company priorities into clear decisions about where to invest and how to scale. - Build and develop a high-performing global organization. Hire and coach senior technical talent, develop future leaders, and establish expectations for technical depth, customer ownership, collaboration, and performance. - Design the customer engagement model. Establish how DSEs are assigned to customers, build account knowledge, conduct operational reviews, and prepare for critical events. Define clear responsibilities and handoffs with Support, Technical Success, Sales, and Engineering. - Set the standard for technical ownership. Ensure the team uses evidence, reproduction, and systems-level investigation to advance complex issues. Develop the team’s judgment on when to continue investigating, mitigate, or engage Engineering, and stay close enough to the work to guide difficult decisions. - Build proactive reliability into the service. Establish practices for assessing customer architectures and dependencies, identifying emerging risks, and preparing for launches, migrations, and traffic growth. Ensure incident learnings lead to completed corrective actions. - Lead through critical customer situations. Serve as a senior escalation point, align responders across teams, and communicate clearly with customer executives. Maintain accountability for the customer’s support experience through mitigation, resolution, and follow-through. - Own delivery quality and sustainable growth. Build capacity plans, coverage arrangements, and investment proposals that support service commitments. Balance customer complexity, team workload, and time for proactive work as the customer portfolio grows. - Define and measure meaningful outcomes. Establish measures of investigation quality, time to mitigation, recurring issue reduction, customer confidence, and proactive risk reduction. Use these insights to improve the service and guide investment. - Influence product and engineering priorities. Turn patterns across customer investigations into evidence-backed recommendations. Build alignment with senior partners on reliability, observability, supportability, and tooling improvements. - Make AI and automation foundational to the function. Apply OpenAI’s technology to preserve customer context, accelerate investigations, detect risks, and automate repeatable work. Establish evaluations and human oversight so these capabilities improve quality and customer trust. You might thrive in this role if you... - Have 12+ years of experience in technical customer-facing roles, including 6+ years of leadership responsibility for enterprise Support Engineering, Technical Account Management, or a comparable function supporting complex production environments. - Have built or materially scaled a dedicated technical customer program, with ownership of its service model, staffing, delivery standards, and outcomes. - Bring experience leading senior engineers and developing technical leaders across regions, with a clear approach to hiring, coaching, and performance. - Have a strong technical foundation in APIs, distributed systems, cloud infrastructure, and enterprise integrations. You can evaluate investigation quality, challenge hypotheses, and guide teams through ambiguous failures. - Have maintained long-term technical relationships with strategic enterprise customers, connecting architecture and workload context to business impact and operational priorities. - Have led high-stakes customer escalations and can earn trust with both engineering teams and executives while communicating uncertainty accurately. - Can influence senior stakeholders across organizational boundaries, resolve competing priorities, and translate customer evidence into concrete technical and operational changes. - Have demonstrated sound judgment in balancing customer commitments, service quality, staffing, and the economics of a growing support function. - Have delivered measurable improvements through automation or AI and can distinguish promising experiments from capabilities ready for dependable customer use. - Are comfortable establishing direction in ambiguity, taking accountability for difficult decisions, and building a team that operates with curiosity, humility, and urgency. 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.
National Security Partnerships Lead, Intelligence...
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 National Security Partnerships Lead to grow and manage our relationships with the U.S. Intelligence Community and with allied intelligence and security services. You will report to the Head of National Security Policy and advise company leadership on intelligence and allied-partner matters. You will help partner security organizations build policies that let them adopt frontier AI quickly and for high-impact missions, while deploying it safely and avoiding incidents. You will also engage U.S. and foreign government officials on the policy frameworks that guide the international distribution and deployment of Anthropic's models. You will own a portfolio of government partnerships end to end: setting the agenda with senior counterparts, structuring the agreements and channels that govern each relationship, and bringing partner requirements and concerns back into Anthropic's policy, product, research, and safeguards decisions. You will work closely with our public sector sales, legal, security, and threat intelligence teams. Key responsibilities - Lead Anthropic's strategic engagement with U.S. Intelligence Community elements and allied intelligence and security services. - Help partner security organizations develop the policies and governance that enable rapid, high-impact adoption of frontier AI and safe deployments that avoid incidents. - Identify high-leverage national security deployments with partners, and support our public sector sales team in delivering them. - Brief senior government security officials in the U.S. and allied capitals on frontier AI capabilities, risks, and Anthropic's approach to safety. - Engage U.S. and foreign government officials on the national security implications of the international distribution and deployment of Anthropic's models, and advise company leadership on partner equities in those decisions. - Partner with federal affairs, international policy, communications, and marketing on national security matters, including engagement with the Executive Branch and Congress. - Travel regularly within the U.S. and to allied countries. Minimum qualifications - Substantial experience in national security, including work in or with the Intelligence Community. - Direct experience managing relationships with foreign partner governments or services. - An active TS/SCI clearance, or one held within the last two years, and the ability to obtain and maintain it. - Experience negotiating formal agreements or partnerships between governments, or between government and industry. - A working understanding of how intelligence organizations operate, including classification, liaison relationships, and how they adopt new technology, and the ability to get things done within those constraints. - The ability to brief senior policymakers and officials clearly, and to explain technical subjects without overstating them. - Experience working effectively with cross-functional teams, including technical, sales, policy, trust and safety, legal, security, product, research, and communications. - Demonstrated interest and experience in a complex technical subject, ideally AI, though defense technology, cybersecurity, or similar fields also count. - The ability to build structure where little exists and to manage competing priorities without waiting for perfect clarity. Preferred qualifications - 10+ years of experience in national security, including substantial work in or with the Intelligence Community. - Experience in a liaison, foreign partnership, or foreign disclosure role. - Experience in related private-sector roles, such as at technology, cybersecurity, or defense companies. - Regional expertise or language skills relevant to allied partners. - Hands-on familiarity with large language models and how they can be misused. 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: $295,000 - $345,000 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.
Enterprise Account Executive, Public Sector, 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 As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the German market. Responsibilities: - Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close - Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications - Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices - Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the German enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers - Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: - Native German speaker with excellent written and verbal communication skills in German and English - 7+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies - Specialised sales industries experience: Public Sector - A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases - Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments - Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies - Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process - Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives - Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the German market - A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities - A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: - Competitive base salary and commission structure - Equity participation in Anthropic's growth - Comprehensive benefits package - Opportunity to shape the AI industry in DACH and EMEA - Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) 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.
Accommodations Partner
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 Accommodations Partner at Anthropic, you will own the end-to-end reasonable accommodation process, ensuring employees and candidates receive fair, compliant, and thoughtful support. You will serve as the subject matter expert on complex, high-stakes accommodation requests and applicable disability law across the jurisdictions where Anthropic operates, leading the interactive process with employees, managers, and HR, and partnering closely with Recruiting (for candidates), Benefits, Employment Legal, and external partners to identify effective solutions. This role requires balancing hands-on casework with process-building, as you will manage individual accommodation requests directly while also helping shape the frameworks, documentation, and cross-functional coordination needed to scale this function globally. You'll partner closely with People Partners, Benefits, Recruiting, Employment Legal, and Occupational Health resources across regions to navigate sensitive medical and disability-related matters with care, discretion, and sound judgment. As we continue to scale rapidly, you'll help build the foundations of an accommodations function that can grow with the organization. Key responsibilities - Interactive Process Management - U.S.: Serve as the primary point of contact for reasonable accommodation requests from U.S.-based employees and candidates, leading the interactive process from initial request through resolution. Partner directly with employees, managers, People Partners, and recruiters to understand functional limitations, evaluate potential accommodations, and reach determinations that are both legally sound and operationally workable. - Global Accommodation Request Management: Own accommodation requests from employees and candidates outside of the United States, serving as the initial point of contact and primary owner, in partnership with regional People Partners and Employment Legal. - Complex Case Management: Own complex, high-stakes, or legally ambiguous accommodation requests personally, including those involving conflicting medical documentation, competing business needs, or heightened legal risk, while providing guidance to People Partners and managers on more straightforward cases. - Cross-Functional Partnership: Partner closely with the internal Benefits team on accommodation requests intersecting with leave, disability, or benefits eligibility. Interface with external partners, including accommodation platform vendors, to support timely and accurate case review. - Policy & Program Development: Along with the broader ER/People team, build scalable, repeatable processes and documentation for accommodation requests across regions. Develop frameworks that support consistent, defensible decision-making while remaining responsive to the nuance of individual cases. - Education & Enablement: Own education strategy for accommodations best practices, delivering training and guidance to People Partners, managers, and interviewers, and on how to support the process appropriately while maintaining confidentiality. - Documentation & Recordkeeping: Ensure accommodation requests, supporting materials, and determinations are documented and handled appropriately, maintaining accurate records, files, and confidentiality throughout the process. - Data & Insights: Track accommodation metrics and trends to identify patterns, inform policy decisions, and proactively flag systemic issues or risk areas. Minimum qualifications - Have deep working knowledge of the ADA and applicable state disability accommodation laws, and experience applying that knowledge to real accommodation processes and decisions, including a full understanding and working knowledge of the interactive process. - Have demonstrated experience independently managing complex, high-stakes, or legally sensitive accommodation cases - Are skilled at managing highly sensitive medical and disability-related information with discretion, empathy, and sound judgment - Excel at communicating clearly and building trust with employees, managers, and HR at all levels - Are comfortable with ambiguity and can create structure where none exists - Care deeply about fairness, equity, and creating an accessible, supportive workplace - Are comfortable working in a fast-paced environment Preferred qualifications - Have 5+ years of progressive experience managing reasonable accommodation requests, ideally in a corporate or HR setting - Familiarity with Disclo and Sparrow, or similar accommodation case management platforms - Experience managing international accommodation requests or familiarity with multi-country accommodation frameworks - Background working at technology companies or startups - Experience helping build or scale an accommodations function - Knowledge of or interest in AI safety and the unique people challenges in frontier AI development 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: $180,000 - $180,000 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 GTM Strategy, Ops & Analytics
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 Head of GTM Strategy, Operations, and Analytics at Anthropic, you will lead our global GTM Strategy & Operations teams, as well as our GTM Analytics function, driving strategic decision-making and operational excellence across our rapidly scaling business. You'll manage growing teams responsible for GTM strategy, operations, and analytics, ensuring our sales, marketing, and customer success organizations have the insights, processes, and operational support needed to achieve ambitious growth targets while maintaining our commitment to safe AI deployment. In this role, you'll be a key partner to GTM leadership, owning critical operating cadences, forecasting processes, and strategic planning initiatives. You'll drive data-driven decision making across the organization while building scalable systems and processes that support our mission to make AI safe and beneficial. Responsibilities - Lead and scale teams across GTM Strategy & Operations and GTM Analytics, providing strategic direction and fostering a culture of operational excellence and analytical rigor - Own and optimize key GTM operating cadences, including forecasting processes, monthly and quarterly business reviews, and board-level reporting - Drive quarterly and annual planning processes for territory design, GTM headcount planning, quota setting, and target allocation - Establish central reporting frameworks and executive dashboards that provide actionable insights to GTM leaders and enable data-driven decision making - Partner closely with Sales, Marketing, and Customer Success leadership to identify operational challenges and implement scalable solutions - Develop and maintain GTM performance metrics, KPIs, and reporting standards that align with company objectives and drive accountability - Lead cross-functional initiatives to optimize GTM efficiency, including process automation, system integrations, and workflow improvements - Provide strategic insights and recommendations to executive leadership on market opportunities, competitive positioning, and go-to-market effectiveness - Collaborate with Finance and Data Science teams to ensure alignment on revenue forecasting, pricing strategies, and market analysis - Partner closely with product organization to drive new product introductions, bring the voice of the customer and the field into roadmap and launch decisions, and shape pricing, packaging and sales readiness so each launch lands with the field prepared to sell it. - Build and maintain relationships with key stakeholders across the organization, serving as a trusted advisor on GTM strategy and operations You may be a good fit if you: - Have 10+ years of experience in revenue operations, sales operations, or GTM analytics, with at least 5 years in senior leadership roles - Have proven experience scaling GTM operations at high-growth technology companies, preferably in the enterprise software or AI/ML space - Possess deep expertise in forecasting methodologies, territory management, quota planning, and GTM performance measurement - Are proficient in CRM & other GTM systems (Salesforce, Gong) - Have strong analytical skills with experience in SQL, data visualization tools (Tableau, Looker) - Excel at stakeholder management and cross-functional collaboration, with demonstrated ability to influence at all levels of an organization - Are a strategic thinker with the ability to translate business objectives into actionable operational plans - Have experience building and leading high-performing teams in fast-paced, ambiguous environments - Possess excellent communication skills and can present complex data insights to executive audiences - Thrive in a mission-driven environment and are passionate about the responsible development and deployment of AI technology - Have operated at scale and through hypergrowth in an enterprise B2B business; understand the consumption world, where revenue follows usage rather than signature; and have lived both the zero-to-one build of a function and the one-to-massive scaling of it. Strong candidates may have: - Experience in API-first, consumption-based, or complex Enterprise business models - Background working with enterprise customers and understanding of complex sales cycles - Experience managing both individual contributors and managers - Knowledge of compliance and regulatory requirements relevant to AI/ML companies - MBA or advanced degree in a quantitative field - Previous experience scaling operations through periods of rapid international expansion 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: $540,000 - $585,000 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.
Strategic Growth 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 Strategic Account Executive at Anthropic, you'll partner with the most innovative AI-native companies in their hypergrowth journey, working directly with founders and leadership teams to shape the future of AI adoption. You'll own our most strategic customer relationships, leading complex commercial discussions while driving deep engagement between these pioneering companies and Anthropic's executive team. Responsibilities: - Own and deepen relationships with founder/CEO-level executives at the fastest-growing AI companies, serving as their primary strategic partner for AI infrastructure decisions - Lead complex, high-stakes commercial negotiations spanning multiple stakeholders, including founders, operators, and venture capital firms - Drive strategic alignment between customer roadmaps and Anthropic's product vision, advocating for customer needs at the highest levels of our organization - Partner closely with technical counterparts to ensure seamless execution and customer success - Identify emerging market trends and opportunities based on a deep understanding of how leading AI companies are building and scaling - Develop and execute account strategies that support customers through various growth stages, from early startup to category leader - Navigate complex organizational dynamics while maintaining strong relationships across both customer and internal stakeholders You may be a good fit if you have: - 14+ years of experience in strategic sales or account management, with proven success managing high-complexity, strategic customer relationships - Track record of leading and closing sophisticated commercial deals with multiple stakeholders - Experience working directly with founders and C-level executives at high-growth technology companies - Strong business acumen and ability to understand technical concepts sufficiently to engage in strategic discussions about AI implementations - Proven ability to influence product direction and strategy based on customer needs - Excellence in stakeholder management across multiple levels, from technical teams to C-suite - Outstanding communication and presentation skills, with an ability to articulate complex value propositions to various audiences Strong candidates may have: - Experience working with venture capital firms or understanding of the venture ecosystem - Background in consumption-based/usage-based pricing models - Experience supporting customers through hypergrowth phases - Understanding of the AI/ML landscape and key trends - Track record of helping define commercial frameworks for emerging technology markets 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: $380,000 - $450,000 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.
Technical Program Lead, Public Sector
Scale's Public Sector customer base is growing rapidly, and you will ensure that these customers become passionate, lifelong Scale partners. In this role, you will lead technical delivery for one of Scale's most consequential Public Sector programs, building AI-enabled planning and decision-support capability for major Department of War commands. Partnering with the program's Delivery Lead, you own the technical shape of what we ship: how Scale's products come together, where we extend them, and what we build from scratch. You will also lead a team of Technical Program Managers, coaching them through ambiguous problems and multiplying what the group can take on. You will: - Lead and mentor a team of Technical Program Managers who own the program's key technical delivery areas, allocating scope, raising the technical bar, and unblocking them as they interface directly with stakeholders and end users - Own the technical shape of what we deliver: whether we are combining Scale's products in the right way, extending them in the right way for this program, and being deliberate about what genuinely warrants a bespoke build - Plan and sequence releases alongside engineering, anticipating technical risk early and putting engineering trade-offs in terms stakeholders can decide on - Serve as the senior technical voice to program stakeholders and users, translating operational needs into delivery decisions the team can execute against - Drive innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful solutions for Public Sector customers - Leverage technical concepts, tools, and expertise to create solutions from scratch or drastically improve existing solutions - Use data, analytics, and technical expertise to align internal resources and create tools that directly add value to customers in the public sector space - Transition AI/ML technologies and processes into working Public Sector products / solutions even when requirements are undefined or ambiguous - Partner with engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains - Set the technical direction for a cross-functional team of engineers, operations, and delivery staff to exceed the customer's AI/ML objectives - Manage the long-term health of the customer base by identifying and preempting areas of risk or concern - Build with an eye toward reuse, identifying where program work can generalize into durable capability and surfacing it to Product, while holding the line on the program's technical delivery goals - Address engineering problems alongside the product development teams Must Haves: - An active TS/SCI clearance - 7+ years of experience succeeding in stakeholder management or customer-facing role - Experience leading or mentoring other program managers, engineers, or technical staff - Demonstrated ownership of the technical delivery of a complex, multi-workstream program with senior government or enterprise stakeholders - Technical background (education or professional experience with CS, Economics, Statistics, Engineering) - Deep understanding of ML operations process - Working knowledge of software delivery pipelines and DevOps principles - A track record of structured, analytics-driven problem-solving - Excellent verbal and written communication skills - Willingness to travel at least 25% of the time We have a diverse team with a variety of skill sets, many have: - 10+ years of professional experience, often in a customer-facing technical program management role in industry or government. - Experience in a Department of War or Intelligence Community operational environment, or supporting a combatant command - Experience delivering a technical platform or product that other teams build on top of, with a feel for the integration, versioning, and support burden that creates - Enough hands-on fluency with Python, SQL, and modern AI/ML tooling to interrogate data and prototypes directly, rather than relying on an engineer to answer every question 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: $199,200 - $249,000 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.
Technical Program Manager, Public Sector
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 Claude is used across government, from US federal civilian agencies to national security, state and local, and allied international governments, and nearly every model and product Anthropic ships has public sector work on the end of it. Each of those segments runs under its own regulatory and deployment constraints, so delivering Claude to them means standing up compliant infrastructure with cloud partners, landing new models in restricted environments, bringing our application suite to parity with commercial, and clearing frameworks like FedRAMP, repeated for every segment. We're hiring a Technical Program Manager to own that program. Today that coordination is spread across the public sector product and engineering leads and the many teams they pull in: research, infrastructure, security, compliance, and product engineering. You'll become the single owner of that program, the person who knows where every workstream stands, what it is waiting on, and who needs to decide. Over time, government customers get new models and products on a predictable cadence, authorizations like FedRAMP run as a steady program rather than a one-off push, and each new segment takes less bespoke effort than the last. Responsibilities - Own the program for delivering new Claude models into public sector environments: sequencing, dependencies, and tradeoffs across research, inference and capacity, cloud partners, safeguards, and compliance teams - Drive FedRAMP and similar authorization programs for Anthropic's public sector offerings, working with privacy, security, compliance, and platform engineering - Plan and sequence work across public sector segments, from model and API availability to application parity and segment-specific product work - Represent public sector requirements in model launch planning alongside the launch TPMs - Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs - Convert recurring efforts into documented, repeatable processes so that each new segment or model requires less bespoke coordination You may be a good fit if you - Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs - Have shipped software or infrastructure into regulated or restricted environments (government clouds, air-gapped deployments, FedRAMP or similar authorization frameworks) and can engage meaningfully with the infrastructure, ML, and security engineers doing the work - Have experience coordinating across multiple engineering teams and organizations simultaneously, including research, security, and compliance partners - Are highly organized and can manage multiple parallel workstreams effectively across distributed teams - Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations - Have excellent written and verbal communication skills, with the ability to influence without authority - Have worked on public sector, defense, or government cloud programs, or hold or are eligible for a US security clearance (preferred but not required) - Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to public institutions safely and reliably - Are a US person. We have agreements with the US Government that mandate this for these roles. 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: $365,000 - $435,000 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.
Supplier Security & Assurance, Security GRC
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 Supplier Security & Assurance (SSA) team sits within Security GRC and is responsible for assessing the security of our suppliers: evaluating whether vendors meet our security requirements, capturing the deviations, and giving the business a clear approval decision it can act on. We assess the vendor population a frontier AI lab actually depends on: SaaS and software, human data operations, compute and data center providers, hardware suppliers, and services firms. The program is designed agent-first so that people spend their time on judgment, remediation, and the vendors that matter most. As a member of the Supplier Security & Assurance team you will run supplier security assessments end to end: reviewing evidence, verifying agent-drafted evaluations, determining inherent and residual risk, and driving findings to closure with vendors and business owners. You will also carry the work that extends assurance past the approval, from contractual security terms and secure configuration baselines to continuous monitoring and reassessment, and you will help shape the tooling and requirements the program runs on. Key responsibilities - Run supplier security assessments: review agent-prefilled outputs, evaluate vendor controls and evidence, determine residual risk, route to domain reviewers where deeper assessment is warranted - Operate supplier issue management and risk treatment: document each finding with a severity, an owner, and a due date, drive remediation with the vendor and the business owner, record risk acceptances, and roll open issues up to the risk register - Run continuous monitoring after approval: reopen an assessment on defined triggers (data classification change, new SOC 2 report, new subprocessor, vendor incident), investigate SaaS configuration, data, and use case drift signals, and queue a reassessment where the vendor's scope has moved - Improve the program as you run it: identify gaps in coverage, questionnaires, requirements, and tooling that surface during assessments, propose the fix, and carry roadmap items that mature supplier security overall - Tune and maintain our Claude-powered assessment platform alongside the team: prompt development, questionnaire and assessment type design, calibration against assessor decisions, and output QA - Contribute to KPI and KRI reporting on coverage, cycle time, residual risk, open issues, and reassessments due Minimum qualifications - Experience running supplier security assessments end to end at a technology company: scoping the engagement, determining inherent risk, reviewing controls and evidence, documenting residual risk, and driving findings to closure - Working knowledge of risk fundamentals (inherent and residual risk, control effectiveness, compensating controls, risk acceptance) and the judgment to apply them when the evidence is incomplete or the answer isn't in a framework - Ability to assess a vendor across security domains, and to recognize which findings you can close yourself and which need a security domain specialist - Track record of driving risk treatment to closure through influence across teams with competing priorities - Experience building or tuning an LLM-backed workflow, agent, or automation in a risk, compliance, or operations context, including tuning prompts and reviewing model output for accuracy - Experience building or operating issue management workflows: logging issues with a clear owner and due date, tracking remediation, and escalating when treatment stalls - Working technical knowledge of SaaS security configuration (SSO and SCIM, admin scoping, sharing defaults, audit log export) and of standard vendor security contract terms (DPA, incident notification, subprocessors, audit and testing rights) - Ability to read a SOC 2 report or penetration test and turn it into findings: identify control exceptions and carve-outs, map complementary user entity controls, and judge what the evidence does and does not prove Preferred qualifications - Experience assessing cloud infrastructure, data center, or data-pipeline vendors - Experience supporting SOX, SOC 2, or ISO 27001 third party or vendor management controls - Experience assessing additional, more specialized vendor cohorts from a security risk perspective: human data operations or data labeling vendors, hardware suppliers, compute providers and neoclouds, and others - Experience with post-approval supplier continuous monitoring: configuration, data, and use case drift detection, shadow IT & SaaS detection, vendor incident management, or evidence-based vendor audits/site visits 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 - $270,000 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.
Solutions Engineering Lead, Healthcare & Life Scie...
Scale plays a vital role in the development of AI applications, and healthcare and life sciences is one of the highest stakes places that work lands. Providers, payers, pharma, biotech, and medical device companies are moving AI from pilot to production against real regulatory and patient safety constraints. They need a partner who understands both the technology and the environment it has to survive in. As Solutions Engineering Lead for Healthcare & Life Sciences, you'll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic accounts in the vertical. You'll set the technical bar for how Scale sells and deploys into regulated healthcare environments, build the reusable assets and playbooks your team runs on, and be the person Sales, Product, and Engineering turn to when a deal hinges on a hard clinical or compliance question. You will: - Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales. - Personally own the technical win on our most strategic healthcare and life sciences accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance. - Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse. - Serve as the domain authority on deploying GenAI under healthcare constraints, including PHI handling and de-identification, HIPAA and HITRUST, validation and audit expectations, and the realities of clinical workflow adoption. - Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments. - Work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation. - Translate patterns across your accounts into structured, prioritized input for Product and Engineering, and influence the roadmap on behalf of the vertical. Ideally you'd have: - A strong engineering background with significant experience in a customer-facing technical role (solutions engineering, solutions architecture, forward-deployed engineering, or technical consulting), including hands-on development in Python or similar. - Experience leading or mentoring technical individual contributors. Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title. - Direct experience selling, building, or deploying software in healthcare or life sciences, with working fluency in the regulatory and data privacy environment (PHI, HIPAA, and validation requirements). - Presentation skills with high technical credibility in front of both clinical or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical. Nice to haves: - Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and model validation in a regulated setting. - Clinical, biomedical, or pharma domain background (clinical informatics, EHR integration, pharmacovigilance, regulatory affairs, or R&D). - Experience standing up a new vertical, practice, or team from an early stage. 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. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $212,000 - $265,000 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.
Engineering Manager, Labs
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. Engineering Manager, Labs About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP. We're seeking an Engineering Manager to lead and grow our team of software engineers working on early-stage AI capabilities. You'll create an environment where engineers can thrive in the inherently uncertain world of zero-to-one development while maintaining clear direction and psychological safety for the team. Success in this role requires exceptional people leadership, the ability to facilitate rapid learning cycles, and skill in helping teams navigate the natural ups and downs of early-stage exploration. You'll partner closely with designers, product managers, and research teams to transform emerging AI capabilities into potential products—and you'll need to be as comfortable shutting down projects that aren't working as you are championing the ones that are. Responsibilities - Lead and coach a high-performing team of software engineers through the complexities of zero-to-one development, creating an environment that rewards experimentation and learning over attachment to specific outcomes - Hire and develop a team of versatile, entrepreneurial engineers who thrive in ambiguity and can flex across problem spaces - Partner effectively with design, product, and research leaders to align on direction and execution - Create a balanced environment that encourages both creative exploration and rigorous evaluation of what's working - Help teams develop structured approaches to testing hypotheses, making kill decisions, and extracting learnings from both successes and failures - Facilitate effective collaboration between Labs engineers and research teams across Anthropic - Provide clear, actionable feedback and support engineer growth and development in an environment where projects shift frequently - Drive adoption of Labs' prototypes and learnings to inform company-wide product strategy - Represent the Labs perspective and roadmap in discussions with research, product, and leadership stakeholders - Maintain team stability and morale through the inherent uncertainty of early-stage work You may be a good fit if you - Have 5+ years of engineering management experience, with significant time leading teams in ambiguous, early-stage, or zero-to-one environments - Have a strong technical background as an IC prior to moving into management, ideally including startup or founding engineer experience - Excel at creating psychological safety and helping teams navigate uncertainty without burning out - Are skilled at facilitating decision-making rather than imposing solutions—you help your team develop good judgment - Can model the behaviors you want to see: comfort killing projects, strong opinions loosely held, bias toward action - Have experience building and retaining teams of generalists who can adapt as priorities shift - Demonstrate exceptional interpersonal intelligence and can guide teams through rapid pivots while maintaining trust - Have strong strategic thinking to identify high-potential research breakthroughs and viable paths to productization - Communicate effectively and can tell the story of Labs' work and impact to leadership and the broader company - Have a comprehensive technical understanding across full-stack engineering and modern product development, with familiarity in AI/ML concepts - Care deeply about responsibly pushing the boundaries of AI capabilities in service of Anthropic's mission Strong candidates may also have - Experience managing teams that work directly with research organizations or in R&D-adjacent environments - Track record of helping engineers grow in non-traditional career paths (where success isn't always tied to shipping features) - Experience with AI/ML products or working knowledge of large language models - Background in building teams from scratch or scaling early-stage organizations - Experience managing through organizational change or frequent strategic pivots What we're not looking for - Managers who've only succeeded with well-defined roadmaps and stable, long-term projects - Leaders who struggle to give critical feedback or make hard calls on underperforming projects or team members - Those who need extensive process and structure to be effective - Managers who are protective of their team's work rather than focused on learning and impact Candidates need not have - 100% of the skills listed above - Formal certifications or education credentials - Direct machine learning or AI research experience 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: $1 - $2 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.
Solutions Engineering Lead, Consumer
Scale plays a vital role in the development of AI applications, and consumer businesses are where those applications meet the most users, the most traffic, and the least patience for a bad experience. Retail and e-commerce, media and streaming, gaming, marketplaces, and social platforms are deploying GenAI into products used by millions of people daily, where latency, unit economics, and quality at volume decide whether a system ships or gets pulled. As Solutions Engineering Lead for Consumer, you'll be a player-coach: managing and growing a team of 3 to 5 Solutions Engineers while personally owning our most strategic consumer accounts. You'll set the technical bar for how Scale designs solutions that hold up at consumer scale, build the reusable assets and playbooks your team runs on, and be the person Sales, Product, and Engineering turn to when a deal hinges on a hard performance, cost, or quality question. You will: - Manage, coach, and grow a team of 3 to 5 Solutions Engineers, setting expectations, running deal reviews, developing careers, and hiring as the vertical scales. - Personally own the technical win on our most strategic consumer accounts, staying hands-on in demos, prototypes, and architecture conversations rather than managing from a distance. - Build the vertical's technical playbook: reference architectures, demo environments, evaluation frameworks, and SOW patterns your team and the broader GTM org can reuse. - Serve as the domain authority on GenAI at consumer scale, including agentic customer experience, personalization and search relevance, trust and safety and content moderation, and the latency, throughput, and cost-per-inference tradeoffs that come with millions of users. - Partner with AEs and GTM leadership on account strategy, technical qualification, and pilot scoping that converts into production deployments. - Work with forward-deployed Software and Machine Learning Engineers to carry solutions from initial design through early implementation. - Translate patterns across your accounts into structured, prioritized input for Product and Engineering, and influence the roadmap on behalf of the vertical. Ideally you'd have: - A strong engineering background with significant experience in a customer-facing technical role (solutions engineering, solutions architecture, forward-deployed engineering, or technical consulting), including hands-on development in Python or similar. - Experience leading or mentoring technical individual contributors. Formal people management is welcome, but a credible track record as a tech lead or team lead matters more than title. - Experience with high-scale consumer-facing systems such as recommendation and personalization, search, content moderation, or conversational products, and real fluency in the performance and cost constraints that come with them. - Presentation skills with high technical credibility in front of both product or executive stakeholders and front-line engineers, plus the intellectual curiosity, empathy, and velocity to operate in a fast-moving vertical. Nice to haves: - Hands-on GenAI, LLM, or applied machine learning experience, especially evaluation and quality measurement at high volume. - Background in retail, e-commerce, media, gaming, marketplaces, or social platforms. - Experience standing up a new vertical, practice, or team from an early stage. 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. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $212,000 - $265,000 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.
Technical Program Manager, Multimodal
About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. - Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. - Package production signals into decision-ready data and evaluations that research teams can use to improve model behavior. - Measure whether model, prompt, configuration, and product changes produce meaningful improvements in multimodal evaluations and user outcomes. - Close gaps between research and production environments, including system prompts, sampling behavior, multimodal configurations, inference differences, and other sources of parity drift. - Create a repeatable process for reproducing product failures with research partners and validating fixes in the shipped experience. - Lead multimodal capacity planning by forecasting demand, translating it into GPU and serving needs, and managing headroom and reallocation tradeoffs for voice and image-generation workloads. - Improve the tooling and operating processes used to plan, launch, and operate multimodal capabilities as demand and model behavior evolve. - Coordinate targeted multilingual data collection across research, Human Data, and external vendors. - Drive cross-functional programs that multimodal launches depend on, including multimodal actor recruitment and selection and voice-related product partnerships across vehicles, smart speakers, and headphone ecosystems. - Create clear operating cadences, decision rights, metrics, risk management, and executive-ready communication across complex, time-sensitive programs. You might thrive in this role if you: - Have led technically complex programs across machine learning, multimodal products, model evaluation, data pipelines, inference, capacity, or large-scale product infrastructure. - Can move fluently between user-facing product behavior and the underlying model, evaluation, configuration, serving, and capacity systems. - Have built mechanisms that convert production signals into prioritized evaluations, data, engineering work, and measurable product improvements. - Can reason credibly about GPU demand, serving constraints, latency, reliability, quality, and launch tradeoffs. - Have closed research-to-production gaps and can drive structured debugging and validation across teams with different environments and incentives. - Turn manual or fragmented workflows into scalable tooling, clear ownership, and durable operating practices. - Lead effectively across research, engineering, product, operations, Human Data, and external partners without relying on direct authority. - Communicate crisply, make ambiguity tractable, and use metrics and evidence to drive decisions. - Thrive in ambiguous, scaling environments and can bring order to complex cross-functional work without losing pace. - Care about OpenAI's mission and about expanding responsible access to advanced AI systems. 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.
Applied AI Architect, Retail
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with retail and consumer businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of Retail customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply Retail expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful Retail expertise or strong fluency with the needs of retail and consumer businesses. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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.
Executive Assistant
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. About the Role SambaNova is hiring an Executive Assistant to support three senior leaders spanning Engineering, G&A (General & Administrative), and Sales. This is a high-trust, high-visibility role for someone who can manage competing priorities across very different functions, keep each leader's calendar and workload running smoothly, and act as a dependable point of coordination between their teams. The ideal candidate is highly organized, discreet, and comfortable operating in a fast-moving, high-growth environment where priorities shift quickly. Responsibilities Calendar & Time Management - Proactively manage complex, high-volume calendars for three executives across Engineering, G&A, and Sales, resolving scheduling conflicts and prioritizing time against each leader's most pressing commitments. - Schedule and coordinate internal and external meetings, all-hands, offsites, and cross-functional reviews, including logistics, agendas, and pre-read materials. - Anticipate scheduling needs across time zones and adjust proactively as priorities shift. Travel & Expenses - Book and manage domestic and international travel itineraries, adapting quickly to last-minute changes. - Prepare, submit, and reconcile expense reports in a timely manner and in compliance with company policy. Communication & Coordination - Serve as a trusted point of contact between the three executives and their direct reports, peers, and external partners. - Draft, proofread, and manage correspondence, presentations, and internal communications on behalf of the executives. - Track action items and follow-ups from meetings to ensure timely completion. - Exercise sound judgment and discretion when handling confidential and sensitive information across engineering, financial, and sales matters. Meeting & Event Support - Coordinate department meetings, leadership reviews, and team events, including logistics, catering, and materials. - Help plan and execute larger organizational events (team offsites, department all-hands) in partnership with other EAs and business partners. Cross-Functional Operations - Partner with other Executive Assistants and business teams to align on shared processes, coverage during absences, and event coordination. - Support light project coordination and ad hoc initiatives for each leader, such as tracking OKRs, org planning logistics, or budget documentation. - Process purchase orders, invoices, and vendor requests as needed for each supported organization. Basic Qualifications - 5+ years of experience as an Executive Assistant or in a similar administrative role, ideally supporting multiple senior leaders simultaneously. - Bachelor's degree or equivalent practical experience. - Demonstrated ability to manage competing priorities across different functions and stakeholders without dropping details. Additional Required Qualifications - Excellent written and verbal communication skills, with strong judgment on tone and audience across technical, financial, and customer-facing contexts. - Highly proficient with Google Workspace or Microsoft Office (calendar, email, docs, slides, spreadsheets) and familiarity with expense and travel management tools (e.g., Concur, Navan). - Strong discretion and professionalism when handling confidential business, personnel, and financial information. - Comfortable working in a fast-paced, high-growth technology company where priorities can change quickly. - Strong organizational skills and follow-through; able to manage multiple workstreams and deadlines independently. Preferred Qualifications - Prior experience supporting leaders in Engineering, Finance/G&A, and Sales organizations, or at a semiconductor, AI infrastructure, or enterprise technology company. - Experience coordinating with cross-functional business partners such as Finance, People, IT, and Legal. - Experience planning offsites, team events, or department-wide meetings. Base Salary Range: Base Pay Range $115,000 - $140,000 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.
Business Development Representative
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business. KEY RESPONSIBILITIES: - Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. - Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. - Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and document interactions in Salesforce, ensuring a clean and actionable pipeline for the sales team. - Collaborate with marketing to refine messaging and campaigns based on prospect feedback, contributing to a 15%+ improvement in campaign response rates. - Stay updated on industry trends, competitor offerings, and Cohere’s product roadmap to position our solutions effectively and anticipate customer needs. - Run independent sales cycles on smaller opportunities with less overhead, from intro to close. QUALIFICATIONS: - 2+ years of experience in business development, sales, or a related role, with a proven track record of exceeding lead generation targets in a SaaS or tech environment. - Native or Fluent Arabic speaker - Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and build rapport quickly over phone and email. - Familiarity with CRM tools (e.g., Salesforce, HubSpot) and sales enablement platforms, with the ability to analyse data to optimize outreach strategies. - Experience in AI, machine learning, or enterprise software sales, with a basic understanding of natural language processing (NLP) concepts. - Closing experience is seen as an advantage. - A builder mindset is necessary to succeed here, the challenges will be unique based on the team you’ll be working with, and the role will evolve over time. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Marketing Events Manager, International
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 Marketing Events Manager, International at Anthropic, you will own the execution of events across our international markets that drive pipeline, deepen customer relationships, and build Anthropic's brand and share of mind in markets where we're growing fast. You'll deliver a portfolio ranging from global flagship programs adapted for local markets to brand activations, executive dinners, roundtables, customer summits, and third-party events. This role sits on the Marketing Events Team, reports to the Head of International Events, and partners closely with International Sales, regional Field Marketing, Communications, Policy, Product Marketing, and Creative. You'll bring hands-on operational excellence and a strong eye for brand storytelling, turning plans into experiences that resonate with diverse audiences, from developers to enterprise executives to policymakers. As part of a small team building Anthropic's international events program, you'll help create the systems, processes, and playbooks that let it scale across regions. Responsibilities: - Develop and execute international events that deliver on brand objectives, regional sales priorities, and pipeline targets, while contributing to strategy that supports overall company goals - Plan and manage a diverse, multi-country portfolio spanning hosted flagship events, brand activations, industry conferences, and cultural moments - Adapt global event programs for international markets, working with the Marketing Events team so programs stay aligned with company-wide strategy while meeting local market needs - Work with Creative on event identities, spatial design, and experiential elements that bring Anthropic's brand to life, ensuring our presence is compelling and consistent across all touchpoints - Oversee event budgets, vendor relationships, and contract negotiations, ensuring strong ROI across the portfolio - Collaborate cross-functionally with Product Marketing, Policy, and Communications to align event messaging and maximize the impact of Anthropic's presence at industry moments - Build and maintain operational frameworks that keep quality and brand consistency high across regions: speaker and staff briefings, Know Before You Go documentation, and post-event reporting - Provide on-site leadership and logistics management, serving as the primary point of contact for all event operations during live experiences - Identify opportunities to innovate on event formats and experiences that differentiate Anthropic in the AI landscape You may be a good fit if you: - Have 8+ years of B2B event marketing and management experience, including brand-owned, technical, or innovation-focused events across EMEA and/or APAC, at a high-growth technology company - Have a proven track record of executing multi-country event programs that deliver brand impact, and measurable pipeline and revenue results - Have a strong portfolio of events, including brand events, that turn a company's values and positioning into memorable, on-brand experiences - Have experience activating at premium third-party events, including hospitality at high-end venues, sporting events, and cultural experiences - Are highly organized, with exceptional project management skills and the ability to run multiple complex events at once, often in different markets - Are a collaborative partner who builds strong relationships across International Sales, Marketing, and executive stakeholders - Have strong budget and vendor management experience, including local suppliers and multiple currencies - Have the cultural awareness and judgement to adapt events for different markets - Can operate in a fast-paced environment and maintain calm and effective leadership in high-pressure situations - Have strong data analysis skills to measure and report on event success metrics - Are comfortable with regular travel across EMEA and APAC (approximately 30%) Strong candidates may also: - Have experience with event technology platforms and meeting scheduling tools (e.g., Splash, Cvent, or similar) - Have worked closely with enterprise sales teams and understand the enterprise buying cycle - Have worked with creative teams and agencies on event identities, spatial design, and experiential elements - Have managed or mentored other team members - Have a genuine interest in AI technology and care about ensuring that transformative AI systems are developed safely 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: £125,000 - £125,000 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.
Data Scientist, Experimental Projects
Who we are About Stripe Stripe 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. About the team The Experimental Projects team quickly tests new product opportunities for Stripe. We work on brand-new, zero-to-one problems by building prototypes, talking with users, analyzing what we learn, and iterating rapidly. The team operates across a broad range of problem spaces. Rather than optimizing a single mature product area, you’ll help determine whether new ideas can solve meaningful user problems and become valuable products for Stripe. We’re looking for a Data Scientist who enjoys building, has a strong bias for action, and is comfortable moving from an ambiguous question to a practical test. Responsibilities - Use data to identify, evaluate, and shape new product opportunities. - Partner with engineers and product managers to build and test early product concepts. - Develop analyses, models, experiments, and prototypes that help the team learn quickly. - Talk with users and combine qualitative insights with quantitative evidence. - Define success measures for new ideas and assess whether early results support further investment. - Work across several new problem areas, adapting your approach as priorities and evidence change. - Communicate findings clearly, including uncertainty, tradeoffs, and recommended next steps. - Help establish analytical foundations for projects that may grow into larger product areas. What you'll do You’ll partner closely with product managers, engineers, designers, and other cross-functional partners to explore new product opportunities. You’ll use data science throughout the discovery and development process, from identifying promising problems and shaping hypotheses to building early solutions and evaluating results. Your work may include product analytics, experimentation, statistical modeling, machine learning, causal inference, and rapid prototyping. The specific methods will depend on the opportunity. Success in this role requires choosing the right level of analytical rigor for each stage, working quickly when evidence is limited, and turning what you learn into clear recommendations about what the team should build or test next. Who you are We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Location Requirement - San Francisco, CA (Hybrid: 50% in office - Oyster Point) Minimum requirements - PhD with 3+ years, MS or MA with 6+ years, or BS or BA with 8+ years of data science or quantitative modeling experience. - Proficiency in SQL and a computing language such as Python or R. - Ability to effectively work both independently and with cross-disciplinary teams, including engineering and finance, to deliver impactful results. - A demonstrated ability to manage and deliver on multiple projects with a high attention to detail. - Solid business acumen and experience in synthesizing complex analyses into actionable recommendations. - A track record of building relationships with and influencing the decisions of senior technical leadership. - A builder's mindset with a willingness to question assumptions and conventional wisdom. - Proficiency with artificial intelligence tools to accelerate model development, analysis, and coding. Preferred qualifications - Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and experimentation - Experience deploying models in production and adjusting model thresholds to improve performance - Experience designing, running, and analyzing complex experiments or using causal inference methods - A builder’s mindset and willingness to question assumptions and conventional wisdom - Experience working on ambiguous, zero-to-one problems and turning early evidence into practical decisions - A strong bias for action, including the ability to identify the fastest credible way to test a hypothesis - Comfort moving across different problem spaces and learning unfamiliar domains quickly - Experience with distributed tools such as Spark or Hadoop - A PhD or MS in a quantitative field, such as statistics, engineering, mathematics, economics, quantitative finance, science, or operations research
Senior Data Scientist, Product
Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line. As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements. What you'll be doing: - Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making. - Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. - Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. - Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders. What we look for in you: - A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience - Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. - Ability to influence external stakeholders by synthesizing data learnings into compelling stories. - Practical expertise in applying complex modeling frameworks to practical business problems. - Professional experience using SQL and Python. - Experience working with digital products in an iterative development cycle. - Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. - Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality. Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision). Annual base salary range (excluding equity and bonus): £122,400 - £136,000 GBP - Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period. - Equal Opportunity Employer: Coinbase 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, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws. - US Applicants: View Employee Rights , Know Your Rights , and E-Verify Notice of Participation. - Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial . - Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice . US applicants: By submitting your application, you agree to Arbitration of Disputes .
Strategy & Operations, Germany
About the Team OpenAI’s mission is to build safe artificial general intelligence that benefits all of humanity. Our EMEA organization translates OpenAI’s global mission and strategy into meaningful local impact, working across Growth, Product, Marketing, Partnerships, Finance, Research, Operations and Compliance. About the Role As Strategy and Operations lead, you will develop country strategies, identify the most important market opportunities and barriers, align cross-functional teams around a focused set of priorities, and personally drive initiatives through to measurable outcomes. This is an individual-contributor role. The primary focus is Consumer, with opportunities to create adjacent impact across B2B. You will go deep in a small number of priority markets while building approaches that can scale across EMEA. This is not a strategy-only role. The successful candidate will combine rigorous analysis and market judgment with urgency, hands-on execution and the ability to influence without formal authority. This role is based in Munich or Berlin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Build country strategies: Develop plans, priorities and forecasts for key European markets and translate company strategy into practical local action. - Drive growth and conversion: Use data, customer insight and experimentation to improve acquisition, engagement, retention, conversion and monetization. - Lead market expansion and localization: Identify opportunities, build scalable launch frameworks and determine where products and go-to-market should adapt. - Turn strategy into execution: Personally move initiatives from diagnosis and prioritization through delivery, measurement and iteration. - Lead cross-functional teams: Align Product, Growth, Marketing, Brand, Partnerships, Finance, Research, Operations and Compliance around shared outcomes. - Represent regional insight: Ensure European market and customer perspectives shape global roadmaps and decisions. - Measure and scale impact: Define success metrics and determine when a successful local approach should be replicated. You might thrive in this role if you: - Have 10 years + of experience in growth, strategy, business operations or quantitative analytics with meaningful responsibility for outcomes. - Have developed country, regional or multi-market strategies and translated them into focused execution plans. - Bring exceptional analytical and problem-solving skills, including forecasting, financial modeling and growth metrics. - Can show examples of personally taking initiatives from insight through launch and measurement. - Understand European markets while maintaining a regional and scalable perspective. - Communicate clearly with senior stakeholders and influence teams without formal authority. - Operate with high ownership and urgency in ambiguous, resource-constrained environments. - Have a deep interest in AI and alignment with OpenAI’s mission. 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.
Mechanical Engineer, Hardware Systems
About the Team OpenAI’s Hardware organization develops silicon and system-level solutions designed for the unique demands of advanced AI workloads. The team is responsible for building the next generation of AI-native silicon while working closely with software and research partners to co-design hardware tightly integrated with AI models. In addition to delivering production-grade silicon for OpenAI’s supercomputing infrastructure, the team also creates custom design tools and methodologies that accelerate innovation and enable hardware optimized specifically for AI. About the Role We are looking for an experienced Mechanical Engineer with 7+ years of experience in design of IT hardware from chip/package to system levels. You’ll work alongside experts in thermal, mechanical, electrical, software, and systems engineering to support the design, analysis, and validation of mechanical and thermal systems that ensure the reliability, efficiency, and longevity of mission-critical hardware. This position requires strong analytical skills, hands-on testing experience, and the ability to work in a fast-paced, cross-disciplinary environment. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead mechanical design for AI supercomputer product in the data center application - Collaborate with the cross functional team to design and optimize thermal solutions for data center hardware, including chips, power modules, and system-level cooling architectures - Collaborate with cross-functional teams to integrate thermal management strategies into hardware design, from concept to mass production - Design and validate mechanical systems, including chassis, enclosures, cooling systems, and high-power connections, ensuring alignment with performance and reliability standards. - Perform 3D modeling, FEA, tolerance analysis, and prototyping, ensuring manufacturability and adherence to strict quality requirements. - Conduct mechanical testing, including vibration, shock, and thermal cycling, to ensure long-term reliability under extreme operating conditions. - Identify and evaluate new technologies and methodologies to improve mechanical and thermal performance in product design, and contribute to the development of new products and technology by providing expertise in mechanical design - Develop appropriate specifications and test procedures as necessary to ensure desired reliability and performance of electronic equipment, collaborate, supervise, mentor, and motivate suppliers to design and develop excellent products, and mentor engineers in all aspects of concept development, analysis, design, and specification - Lead the production and launch of new products and technologies and ensure compliance with relevant quality standards and regulation - Partner with suppliers and manufacturers to support the development of custom mechanical and thermal components and ensure quality in production You might thrive in this role if you: - Bachelor’s degree in Mechanical Engineering, or a related field (Master’s preferred). - 7+ years of industry experience in mechanical design, simulation, and validation for IT hardware - Proficiency in CAD tools and FEA - Strong understanding of mechanical design, material properties, manufacturing methods, and test procedures - Ability to analyze experimental data, identify root causes of mechanical or manufacturing issues, and implement corrective actions - Strong problem-solving skills, with the ability to perform first-principles calculations to support design decisions. - Self-driven, detail-oriented, and able to work independently or collaboratively in cross-functional engineering environments Preferred Skills - 10+ years of industry experience in mechanical design, simulation, and validation for IT hardware - Extensive experience with data center hardware or high-performance computing systems at scale - Practical experience in co-developing advanced cooling technologies - Deep understanding of reliability testing, failure analysis, and thermal stress modeling and testing for electronic components - Experience working with suppliers and manufacturing partners to support new technology development and production ramp-up 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.
Creative Resource Manager, Business Marketing
About the Team Business Marketing helps organizations understand and put OpenAI’s products to work. Our creative team brings that story to life across campaigns, launches, and everyday marketing experiences. We work closely with marketing partners to make ambitious, thoughtful creative work that connects with business audiences. About the Role We’re looking for a Creative Resource Lead to ensure our most important creative work has the right talent, skills, and capacity behind it. Working directly with the Head of Creative, Business, you will lead resource planning and allocation across our internal creative team, contractors, and agency partners—balancing ongoing campaigns with rapidly emerging launches and requests. You’ll develop a deep understanding of our creative talent and capabilities, translate business priorities into thoughtful staffing plans, and help teams navigate competing demands without sacrificing craft or quality. This requires both strong judgment and resourcefulness: knowing when to shift capacity, bring in specialist expertise, adjust scope, sequence work differently, or recommend a different delivery model. AI will be an important part of how you work. You’ll partner with creatives, producers, and Strategy & Operations to build better visibility into demand and capacity, improve resource planning, and reduce repetitive coordination. Your success will show up in how effectively talent is deployed, how clearly staffing decisions are made, and whether the team can deliver excellent work at a sustainable pace. This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. You’ll be responsible for: - Own creative resource planning and allocation across internal teams, contractors, and agencies, matching each project with the appropriate skills, experience, and capacity. - Maintain a clear, current view of team availability, capabilities, assignments, and upcoming demand across design, copy, motion, video, and web. - Build capacity forecasts and staffing scenarios that help creative leadership anticipate gaps, make informed tradeoffs, and plan for both sustained programs and fast-moving launches. - Partner with Strategy & Operations, creative leads, and producers to assess incoming work, understand its resource needs, and develop clear staffing recommendations. - Develop a deep understanding of each team member’s strengths, development goals, and workload, using that context to make thoughtful assignments and identify opportunities for growth. - Recommend the right resource model for each need—internal talent, contractors, agencies, specialists, or self-service—based on priorities, complexity, timing, cost, and creative ambition. - Build and maintain a strong network of contractors, freelancers, and agency partners so the team can quickly access specialized skills or additional capacity. - Manage contractor and agency assignments in partnership with creative leadership and producers, ensuring clarity on scope, timing, cost, and expected outcomes. - Manage the creative resourcing budget within agreed funding, forecasting commitments, surfacing risks, and recommending adjustments to the talent mix in partnership with Business Operations. - Identify and resolve resource conflicts, workload imbalances, and capability gaps before they put team sustainability, quality, or timelines at risk. - Create clear reporting and decision-making rhythms around demand, capacity, utilization, and resource needs. - Build and improve AI-enabled tools and workflows that make forecasting, talent matching, allocation, and resource coordination faster and more effective. - Use staffing data and team feedback to improve resource decisions, strengthen planning, and support a sustainable creative organization. We’re looking for someone with: - 10+ years of experience personally owning creative resource management, workforce planning, or talent allocation across multiple disciplines and concurrent programs. - A strong understanding of design, copy, motion, video, and web production, including the skills, roles, and collaboration required to deliver different kinds of creative work. - A track record of building and running capacity-planning, forecasting, and resource-allocation systems that teams trust and use. - Strong judgment in matching people to work, balancing individual strengths and development opportunities with business priorities, timelines, and team capacity. - Experience developing and managing a flexible talent ecosystem that includes internal teams, contractors, freelancers, specialists, and agencies. - Sound judgment about when work should be handled in-house, externally, or through a self-service model—and how to balance speed, cost, team sustainability, and craft. - Experience managing creative resourcing budgets, contractor rates, agency fee models, and related commercial tradeoffs. - Hands-on experience using AI or automation to improve resource planning, forecasting, coordination, or creative capacity, with an understanding of where human judgment remains essential. - The ability to build trust with creative leaders, individual contributors, producers, marketers, and external partners while communicating staffing decisions and tradeoffs clearly. - High ownership, discretion, composure, and flexibility in ambiguous environments, with a bias toward solving problems and helping creative talent do its best work. 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.
Order to Cash Operations Lead
About the Team OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission. The Order to Cash (OTC) team oversees the complete flow of commercial transactions from order intake and provisioning through billing, collections, and cash application — ensuring accuracy, compliance, and operational excellence in support of OpenAI’s mission to ensure artificial general intelligence benefits all of humanity. About the Role We are looking for an experienced OTC lead to help scale OpenAI’s EMEA order management, billing and AR operations, as our commercial business and customer base continue to grow. As a senior individual contributor within the team, you will own the end-to-end order-to-invoice lifecycle for your assigned portfolio. You will assist with improving processes, policies and rigor to ensure our workflows and systems are complete and accurate. This role will have a strong AI, automation, and process-transformation mandate. You will help define how AI and modern tooling can improve order processing, billing, risk identification, customer outreach, reporting, and exception management. You will partner closely with Finance Systems, Product, Engineering, and operational teams to translate these opportunities into scalable workflows that reduce manual effort while maintaining strong judgment, controls, and customer experience. You will also work closely with Billing Operations, Cash Application, Sales, Deal Desk, Customer Success, Legal, Accounting, and other cross-functional partners to resolve complex issues and strengthen the end-to-end order to cash lifecycle. This is an opportunity to help build a more intelligent, automated, and scalable operating model at OpenAI. This role is critical to building the operational backbone for OpenAI’s expansion across the EMEA region. You will combine deep operational judgment with process and control execution, automation, clear communication, and hands-on problem solving to improve billing reliability, partner experience, customer outcomes, and financial integrity at scale. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own end-to-end OTC execution across order intake, quote/order validation, provisioning alignment, usage and pricing data readiness, billing execution, invoice review, AR follow-up, cash application dependencies, and customer closeout. - Operate AR collections, credit and cash application workflows across the full customer lifecycle. - Govern offshore BPO execution across OM, Billing, and AR workstreams through daily and weekly queue reviews, prioritization, SOP/training updates, access blockers, quality checks, escalation paths, and SLA follow-through. - Partner cross-functionally with GTM, Deal Desk, Legal, Customer Success, Revenue Accounting, Accounting, Tax, Finance Systems, Product, Engineering, RevOps, and Support to resolve blockers and improve handoffs. - Build and maintain scalable SOPs , playbooks, controls, dashboards, and operating cadences so the function can move from person-dependent execution to repeatable process ownership. - Identify and drive automation and AI-enabled workflow improvements across order validation, invoice accuracy, collections prioritization, dispute routing, reporting, BPO quality, and control evidence. You might thrive in this role if you have: - Strong end to end Order-to-Cash foundation with hands-on experience across order-to-invoice and invoice-to-cash processes. - Ability to operate across Order Management, Billing Operations, AR Collections, credit/customer-risk review, cash application dependencies, reconciliations, and month-end close support. - Experience in complex, high-growth environments with usage-based, subscription, enterprise SaaS, marketplace, partner-channel, or hybrid billing models. - Strong data and systems fluency across CPQ, ERP, billing, payment, and reporting workflows; able to investigate mismatches and identify root causes across systems. - BPO or offshore operating experience, including queue governance, SOP adherence, quality checks, training, escalation management, and performance tracking. - Controls and audit-readiness mindset, including SOX-aware documentation, approval frameworks, evidence retention, reconciliations, and clean handoffs to Accounting/Revenue Accounting. - Strong stakeholder management across GTM, Deal Desk, Customer Success, Legal, Finance, Product, Engineering, and BPO teams. - Comfort with ambiguity, hands-on execution, direct issue ownership, customer-sensitive escalations, and continuous process improvement. - Automation and AI orientation, with curiosity and practical judgment around where tooling can improve prioritization, reporting, controls, outreach, and exception handling. 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.
Senior Manager, Regulatory Accounting & Disclosure...
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 Non-Financial Reporting team owns Anthropic's mandatory mandatory disclosures. In this role, you will own cross functional mechanisms to understand the reporting implications of our compute build out. You will build out data management processes, drive key disclosure strategy decisions, and develop a repeatable approach for responding to customer queries. You will help define how the impact of frontier AI gets measured, disclosed, and verified. Responsibilities - Develop and own the internal mechanisms to track and resolve open questions on leases, capex, and other changes to our company footprint, so that financial reporting and non-financial reporting stay aligned. - Prepare the mandatory disclosure filings (EU CSRD, AU ASRS, etc.) and successor regimes, and develop risk assessment methodologies to enable compliance with these frameworks. - Own corporate reporting on non-financial metrics including carbon, energy, water and other relevant metrics. - Ensure our non-financial reporting is assurance-ready: design the controls, documentation, and tech systems to the same standard as our financial reporting, and manage external assurance processes. - Assist in developing our disclosure strategy and governance in partnership with legal, communications and policy teams: assess the reporting landscape, and set our voluntary disclosure posture (CDP, EcoVadis, customer-facing statements). - Develop a scalable process for responding to customer requests — maintain the answer library, meet SLAs agreed with Sales, and own the methodology for customer-level reporting. Minimum qualifications - Deep working knowledge of mandatory reporting standards and experience building a data management plan, documenting methodology choices, and defending them to auditors or assurance providers. - Cloud or data-center impact accounting (electricity and energy data, supplier-specific data). - Proficiency in maintaining non-financial accounting platforms and managing multi-stakeholder data collection. - Familiarity with financial accounting standards accounting and the ability to partner with financial accounting teams. Preferred qualifications - 10+ years in reporting experience: has owned regulatory reporting deliverables end to end — mandatory corporate disclosures, voluntary frameworks, or customer-facing reporting (e.g. CDP, EcoVadis, procurement checklists, or similar). - CPA, and sustainability reporting credential (FSA Credential, GRI Professional, or similar). - Masters degree in accounting, finance, environmental science, engineering, sustainability, or a related quantitative field — or equivalent practical experience. - Assurance experience. - ISO 14001 experience; public-sector procurement exposure. - Experience building a repeatable reporting process from scratch and coordinating across Sales, Legal, Comms and Finance; strong written communication. 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: $230,000 - $300,000 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.
Operations Lead, Investor Relations
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 Investor Relations team manages our relationships with shareholders, prospective investors, and the broader financial community, and helps educate investors on Anthropic's mission, strategy, and financial performance. As the Operations Lead for the team, you'll own the administrative and operational backbone that keeps IR running smoothly, from coordinating investor meetings and preparing the team for them to managing the vendors and logistics behind high-profile events and visits. You'll work directly with the Head of Investor Relations and the IR team, and cross-functionally with Finance leadership, Finance & Strategy, Capital Markets, Accounting, Corporate Legal, Communications, and Workplace, to make sure every investor touchpoint reflects well on Anthropic. Because the function is still being built, you will often be creating the process rather than following one. This role suits someone who is highly proactive, thrives on structure, anticipates needs before they arise, and enjoys being the person who makes complex logistics look effortless. Key responsibilities - Schedule and coordinate investor calls, meetings, and briefings, managing calendars across multiple stakeholders and time zones, and helping the team prioritize when investor demand exceeds our capacity - Partner with internal teams and on-site staff to plan and execute investor events, visits, and other in-person engagements - Prepare the team and executives for investor conversations and capturing follow-ups afterward - Own vendor relationships for IR-related services, from sourcing through ongoing management of scope, budget, and performance - Help the team set agendas and priorities, tracking deliverables and following up to ensure commitments are met on time - Maintain and organize IR records, the investor contact database and interaction history, and shared materials so information stays easy to find and current, and help select and run the tools the team uses to track shareholder engagement - Serve as a primary point of contact for internal stakeholders and external partners on logistical and administrative questions - Build and document the recurring processes a growing IR function needs, from meeting request intake through post-meeting follow-up, and keep improving how the team operates day to day - Partner with Corporate Legal and Communications on the handling and review of investor-facing materials, so information moves through the right checks - Support ad hoc projects as investor relations priorities evolve Minimum qualifications - Experience coordinating complex calendars, meetings, or events across multiple stakeholders - Experience managing vendor relationships, including scope, budget, and performance tracking - Strong organizational skills, with the ability to juggle multiple priorities and deadlines - Excellent written and verbal communication skills - Demonstrated judgment handling sensitive, confidential, and market-sensitive information with discretion - Comfort operating autonomously in a newly formed team, including building processes and systems that do not exist yet Preferred qualifications - Experience supporting an investor relations, capital markets, or finance leadership function, ideally in a company that was growing quickly - Familiarity with the needs of external-facing, high-stakes engagements - Experience operating in a fast-paced, high-growth company environment - A proactive, detail-oriented approach to identifying and solving problems before they become issues - Familiarity with investor relations or CRM tools for tracking shareholder engagement, and comfort using AI tools to work faster - Curiosity about financial markets, technology, and AI, and interest in how a research-driven company explains itself to investors 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: $200,000 - $265,000 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.
Associate Solutions Architect
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're looking for an Associate Solutions Architect to join our Applied AI team and help drive the adoption of Claude Code across our enterprise customers. As an Associate SA specializing in Claude Code, you'll be the technical bridge between our cutting-edge AI coding assistant and the engineering teams who can transform their productivity with it. You'll partner closely with Account Executives to demonstrate Claude Code's capabilities, guide technical evaluations, and help engineering organizations successfully deploy and scale Claude Code across their development workflows. This is an opportunity to work with some of the world's most innovative companies that leverage AI to accelerate software development. Responsibilities: Drive Claude Code Adoption - Lead technical workshops on Claude Code for engineering teams and identify expansion opportunities for Claude Code with non-technical teams - Guide customers through proof-of-concept implementations and technical evaluations - Develop workflows and configurations tailored to customer development environments - Focus on growing developer productivity for our existing customers using Claude Code Technical Customer Engagement - Conduct discovery calls to understand customer development workflows and pain points - Run technical pilots that showcase Claude Code's impact on engineering velocity - Provide hands-on support during customer evaluations and rollout phases - Build technical champions within customer engineering organizations Product Expertise & Enablement - Maintain deep expertise in Claude Code capabilities, integrations, and best practices - Create demo environments, scripts, and technical content for customer engagements - Provide product feedback to engineering teams based on customer interactions - Stay current on competitive landscape and differentiation strategies Cross-Functional Collaboration - Partner with primary Solution Architects and Product Engineers on technical aspects of sales cycles and collaborate on post-deployment expansion opportunities - Work with Solution Architects and Product Engineers on complex technical requirements - Contribute to internal knowledge sharing and best practices You may be a good fit if you have: - 2+ years of software engineering or solutions architecture experience - Daily active use of Claude Code with deep hands-on expertise - 1+ years of customer-facing technical experience (sales, support, consulting, or similar) - Strong understanding of software development workflows, toolchains, and developer productivity - Experience with various programming languages, IDEs, and development environments - Comfort presenting technical concepts and adapting your communication style for different technical audiences - Experience gathering requirements and translating them into technical solutions - Genuine enthusiasm for AI-powered development tools and their potential impact - Strong problem-solving skills with ability to debug and troubleshoot technical issues - Self-motivation with ability to manage multiple customer engagements simultaneously - Growth mindset with eagerness to learn and adapt in a fast-paced environment 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: £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.
Software Engineer, Compute Foundations
About the Team Compute Foundations builds the software that manages OpenAI’s GPU compute infrastructure across sites, data centers, and infrastructure providers, supporting model training and inference. Our systems turn large, heterogeneous fleets of machines into dependable compute for research and products. We build Kubernetes-based control planes, controllers, services, and APIs that coordinate the lifecycle of machines and clusters. We connect global infrastructure management with the realities of bare-metal systems, giving clients consistent interfaces across differences in hardware, topology, and provider behavior. About the Role You will build distributed systems that provision, configure, and manage compute throughout its lifecycle. Your work will connect global services and Kubernetes controllers with the systems that bring machines online, update them safely, and recover them when something goes wrong. This role combines software architecture with an understanding of how machines and data centers work. You might design a lifecycle API, improve controller performance under high concurrency and provider rate limits, or trace a provisioning failure from an API through reconciliation to network boot or host configuration. You will help these systems remain reliable as the fleet expands across sites and generations of GPU hardware. We value depth in relevant systems and the ability to connect layers. You do not need to arrive as an expert in every component of the stack. In this role, you will: - Design, build, and operate Kubernetes-based controllers and distributed services that coordinate infrastructure across sites, isolate failures, and scale as GPU capacity grows. - Define APIs and resource models that let clients request and track lifecycle operations through consistent interfaces across hardware platforms and providers. - Build provisioning and configuration services that coordinate network boot, hardware management interfaces, and the deployment of firmware, operating-system images, drivers, and host configuration. - Develop lifecycle management for discovery, allocation, provisioning, upgrades, maintenance, recovery, and decommissioning, integrating with health and validation systems. - Design reliable reconciliation and recovery through concurrent changes, interrupted operations, and partial failures, with staged rollouts that limit disruption across nodes, racks, and clusters. - Improve control-plane throughput, API latency, and the time infrastructure takes to reach its desired state, while respecting the limits of site systems and provider APIs. - Build the software integrations that bring new sites and GPU hardware generations into the platform, partnering with hardware, networking, data-center, and other infrastructure teams. You might thrive in this role if you: - Have strong software engineering fundamentals and experience designing, implementing, and owning production distributed systems or infrastructure services. - Have experience developing infrastructure systems that use Kubernetes APIs and reconciliation to manage resources. - Understand how a bare-metal node moves from power-on to a configured, workload-ready system, with depth in one or more areas such as PXE, DHCP/DNS, baseboard management controllers (BMCs), firmware, Linux, drivers, images, or configuration management. - Can design reliable APIs and asynchronous workflows, reasoning about concurrency, consistency, idempotency, and failures across service and provider boundaries. - Can diagnose reliability and performance problems across service, operating-system, and machine boundaries, turning production evidence into lasting software improvements. - Work effectively across engineering specialties and communicate system behavior and technical tradeoffs clearly. Bonus points if you: - Have built infrastructure control planes that coordinate operations across multiple sites or regions. - Have worked with GPU or HPC infrastructure, including topology and shared dependencies across machines, racks, or clusters. - Have integrated multiple hardware platforms or infrastructure providers into a common service or resource model. 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. 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.
Manager, Customer Success – Cyber
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 Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of 5-10 CSMs while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization. Responsibilities: - Directly manage and develop a team of 5-10 Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API, Claude.ai , Claude Code) - Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite - Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers - Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT) - Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies - Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks - Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies - Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption - Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales - Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise - Conduct regular 1:1s, performance reviews, and career development planning for direct reports - Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development - Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio - Develop customer advocacy programs including case studies, testimonials, and reference architecture development - Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions You may be a good fit if you have: - 7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience - Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies - Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team - Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values - Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures - Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings - Strong executive presence and ability to represent Anthropic with customer technical and business leaders - Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes - Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning - Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes - Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs - Track record of achieving team targets for expansion, retention and customer satisfaction - Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology 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: $265,000 - $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.
Copywriter, Developer
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 Copywriter, Developer at Anthropic, you will shape how our brand speaks to developers, an audience that is notoriously allergic to being marketed to and quick to spot anything that doesn't ring true. Developers who stay sharp, curious, and direct AI tools with their own judgment are the ones who will thrive, and your job is to help that idea land authentically rather than arrive as a slogan. You'll co-create a voice that developers recognize as empathetic, direct, and genuinely useful, and you'll bring that voice to every place our brand meets a developer. In this role, you'll own the brand-led developer writing that sits between Dev Rel's technical content and pure marketing: launch narratives, campaign work, social, paid, event materials, and developer work that shows up in enterprise contexts. You'll partner closely with Dev Rel as an embedded extension of their team, co-own the developer voice and tone guide with Comms, work with Claude Code and developer marketing leadership on strategic initiatives, and sit within a developer creative pod alongside a brand designer and program manager, with our Head of Copy and Content as your craft lead. Responsibilities - Own the developer-facing expression of brand campaigns, starting with Keep Thinking, translating brand-level ideas into writing that works across launches, social, and paid - Build the developer voice and tone guide in partnership with Comms and Dev Rel, then turn it into the templates and examples the creative team uses for developer work - Own the brand-led developer assets that sit between technical content and marketing, from event and campaign materials to developer writing in enterprise contexts - Partner daily with Dev Rel as an embedded extension of their team, complementing the technical content they own rather than duplicating it - Develop launch narratives and short-form copy that adapt expert, technical material into sharp, accurate writing developers trust - Lead copy for the developer creative pod, working side by side with brand design and program management to ship integrated work - Partner with Claude Code leadership and developer marketing leadership on strategic initiatives that shape how we show up for developers - Present work and a clear rationale for voice and craft decisions to stakeholders across Brand, Dev Rel, Comms, and marketing - Manage feedback from technical reviewers and Comms so that what ships is both accurate and within what we can say externally - Track how developer-facing work lands and use what you learn to sharpen the voice, the templates, and the work itself You may be a good fit if you - Have 8+ years experience writing for developers or technical audiences, and a portfolio that shows both technical and brand work - Have shipped work that developers actually shared, whether in-house at a developer tools or infrastructure company or at an agency serving those clients - Have a strong, specific point of view on how brands should talk to developers, and can articulate it with examples - Can read a changelog or a docs page and explain why a developer would or wouldn't trust it - Are skilled at adapting expert material into sharp short-form copy and launch narratives without losing accuracy - Work fluidly across the full range from technical content to pure brand writing - Already use Claude or other AI models in your own writing practice and can talk concretely about how - Enjoy embedding with technical teams and treating engineers and Dev Rel as creative partners, not just reviewers - Are comfortable co-owning standards with other teams and knowing where your lane ends and theirs begins - Are excited about Anthropic's mission to develop AI that is safe and beneficial Strong candidates may also have - Experience working directly alongside a Dev Rel or engineering team rather than through a brief - Built or contributed to a voice and tone guide, style system, or writing templates that other people successfully used - Written for developer launches at a fast-moving product company, where accuracy and speed both mattered - Familiarity with the AI developer ecosystem, including coding tools, APIs, and how developers evaluate them - Experience writing developer-credible work that also performs in enterprise or executive contexts - A personal writing practice, newsletter, or public work that demonstrates voice and judgment - Worked within brand campaign systems and translated them for a skeptical or specialized audience 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: $200,000 - $255,000 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.
Account Manager
ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn https://github.com/mwaskom/seaborn, Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders ABOUT THE ROLE We're hiring the first Account Managers at Modal. You'll report to the Regional Director of Account Management and be a founding member of the team. This function does not exist yet. There is no playbook, no territory map, no established motion. You'll own a book of business from day one and build the motion at the same time — from fast-moving AI startups to large enterprise teams running critical infrastructure on Modal. This is a commercial role with a revenue target. You'll be measured on retention and expansion across your accounts. While you won't be delivering the technical recommendations and implementation, the work is technical by nature. Our customers are engineers running GPU workloads, inference, and batch jobs in production, and you need to hold your own in those conversations. The profile we're hiring is a technical account manager. You've worked at companies that are deeply technical and consumption in nature. You bring the commercial instincts to grow revenue from an existing base and enough technical depth to know which conversation actually matters. And you can credibly work with a CxO all the way down to a Developer. WHAT THE ROLE IS - A founding seat. You're helping build the AM function with us, not joining one that already runs. The account plans, expansion motions, and customer cadence you and the rest of the founding team figure out are what we scale to every AM we hire after you. - A technical customer-facing role. You'll work directly with Developers and ML teams on what they're building and how Modal fits. You translate and triage the deeper technical work to FDEs and Product when it's needed. - A book of business. You’ll own a set of accounts and be responsible for the revenue that comes from them. Expect to be meeting with customers in your first few days because the best playbooks are built from real experiences. WHAT THE ROLE IS NOT - A traditional post-sales role. You're measured on revenue, not health scores. - An on-call support function. You're not fixing bugs or triaging tickets. You're driving growth. - A technical delivery role. You're not implementing for the customer. You know where the technical work goes and you pull in the right people. - An inherited motion. Nothing is handed to you. If you identify gaps in process, tooling, or a playbook — you help build it. - A single-lane job. Our priorities go customer → company → team → me. We focus on delivering maximum impact vs. "this is my job". WHAT YOU'LL ACHIEVE - Build Modal's account management function and iterate on it as we scale the business - Own and deliver on a revenue target across your book of accounts - Grow an account's first use case, expand into a second, and drive standardization across the Modal platform - Get fluent enough in Modal to hold your own with engineering teams on their workloads, and know when to pull in FDEs, Support, or Product - Work with Sales, Solutions Architects, FDEs, Support, and Product to grow accounts and feed customer signal back into the roadmap - Travel to customers as needed to support key accounts and drive expansion opportunities WHAT YOU'LL NEED TO BRING - Customer-facing experience. You've owned a revenue target or supported a revenue target in a highly technical, consumption business. - Technical depth. You work autonomously with Developers through CxOs and understand the core parts of the developer tech stack. - AI builder. You're hands on building with AI tools — not just consuming workflows that were built for you. - Ownership. You run your book of business and projects like you're the CEO of it. You're highly organized bringing stability, predictability, and pace to your work. You take action vs. waiting for direction. - Learning velocity. You operate with the mindset of what I can do today vs. let me pick this up tomorrow. You move fast, take the learnings, and iterate on it. - Cross-functional partner. Low ego, easy to work with, and highly accountable. You ask for feedback, you act on it, and you'd rather be corrected early than right late. Internal teams love working with you. NICE TO HAVES - Experience as a Technical Account Manager, Solutions Engineer, Solutions Consultant, or similar type role - Certification as an engineer (ex. Computer Science Degree, Professional Bootcamps) - Early GTM hire experience at a fast-growing startup - You've sat close to GPU spend, model training, or inference workloads
IT Operations Engineer, Asset Management
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 The IT Operations team keeps Anthropic running. We make sure every employee can do their best work without friction. We're hiring an IT Operations Engineer to develop our global asset management and hardware lifecycle program across our offices in San Francisco, New York, Seattle, London, Dublin and Sydney. You will bring program expertise to how we track hardware as inventory through its whole life: procurement and receiving, the inventory of record, assignment, refresh, collection and recovery, e-waste and secure disposal, and reseller relationships, iterating and scaling practices as we mature. The same person runs day-to-day operations for our corporate mobile program in addition to expertise in management of laptop and workstation lifecycle operations. You'll partner with several teams within the IT, Security and business operations organizations: IT Hardware Ops runs procurement, fleet logistics, onboarding and offboarding, the storage room, and physical intake. The Endpoint pod owns MDM, device policy and enrollment. Finance owns the budget and vendor contracts. Hardware requests that come through the IT Support queue land with the IT Support team, and you'll help define how they are handled. Responsibilities Strategy and Tooling - Develop the global asset management strategy: the lifecycle model, the data we keep on every device, and how each office executes against it - Select, implement and administer the asset management tool, define its data model and integrations, and partner with IT Engineering where the work needs platform-level access - Contribute to and develop the processes on-site engineers in each office execute against, including the storage room process - Support the evaluation and onboarding of a hardware lifecycle services vendor and, once in place, run the day-to-day relationship Inventory and Assignment - Establish the inventory of record across systems and keep it accurate, from receiving through disposal: every device, its state, its location, and who has it - Run audits of who-has-what and reconcile physical counts against the system of record - Manage demo, loaner, and travel device inventories, ensuring devices are accurately tracked through complex logistical deployments - Maintain up-to-date inventory counts and make strategic purchasing decisions in support new hire onboarding and peripherals stock levels Procurement and Refresh - Support hardware purchasing through our reseller and vendor relationships, working from the refresh calendar - Build out the refresh calendar and advance it across offices - Reconcile purchase orders, deliveries and invoices with Accounting and vendors so that what was ordered, received, and billed line up Collection, E-waste and Disposal - Develop device collection and recovery workflows: offboarding returns, refresh swaps, remote-employee returns and the BPO fleet, including the shipping and tracking that goes with them - Build the e-waste program: certified recycling and secure disposal partners in each region, data destruction records, and the chain of custody from collection to certificate - Handle equipment under legal hold or other chain-of-custody requirements BPO and Contingent Fleet - Provision, track and recover the device fleet for our BPO partners, and be the day-to-day hardware contact for those vendors Corporate Mobile - Run day-to-day operations for the corporate mobile program and write its runbook - Manage deployment, break-fix, and carrier relationships associated with a mobile device fleet Automation - Identify repetitive work throughout the operation and automate it with the tools at hand (scripts, systems integrations / connectors, AI tools) You may be a good fit if you - Have implemented an asset management and lifecycle program for a multi-office fleet, not only run one: taken it from spreadsheets or nothing to a system of record and defined the processes around it (procurement, inventory, assignment, refresh, collection and disposal), ideally in a fast-paced or high-growth environment - Have selected or implemented an asset management platform such as Jira Assets, Snipe-IT or similar, and developed the data model - Have run an e-waste or secure disposal program with certified partners and chain-of-custody records - Have managed reseller or vendor relationships for hardware purchasing and asset disposal - Write things down: runbooks, how-to guides and knowledge base articles - Recognize when a request reaches past this role and route platform work to IT Engineering, policy to the Endpoint pod, and budget to Finance Strong candidates may also - Have supported a corporate mobile program or carrier account - Have basic scripting experience (Bash or Python) for inventory or reporting automation - Have experience using AI tools to improve personal or team productivity - Have been the hands-on asset contact for an ISO 27001 or SOC 2 audit: pulled extracts from the register, produced disposal certificates and evidence of returned assets 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: $180,000 - $230,000 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.
Customer Success Manager, Commercial
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. Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Commercial segment. As one of the first CSMs for our Commercial segment, you’ll be a thought partner both for our customers and for your cross-functional partners, helping define how Customer Success can play the most meaningful role in helping our customers harness the full potential of our products, move toward the frontier, and ultimately realize value. You'll work with organizations that move fast and push the boundaries of what's possible with AI, helping them harness the full potential of all of our Claude capabilities: from Claude Code and Cowork to the API. Drawing on both your business acumen and technical expertise, you’ll gain a deep understanding of customers’ business objectives, strategic direction, AI vision, and technical needs to serve as a strategic advisor throughout their journey. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, providing best practices and guidance while supporting your customers as their usage grows and evolves. Your role focuses on helping customers both scale and optimize their usage, implement change management strategies, and maximize the value of their investment through expanded use cases and value realization measurements. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a Commercial segment and broader business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products, developing activation plans for newly sold use cases, and mapping out future consumption / adoption opportunities to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products and advancing their journey toward the frontier by socializing Anthropic’s product roadmap, driving awareness on new products, and engaging Product PMs - Develop and execute change management strategies to drive end-user adoption, including Champion Program development, Train the Trainer programs, Center of Excellence development, and overall organizational enablement - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Develop scalable engagement strategies and playbooks to optimize efforts across your portfolio and help fellow CSM’s scale their impact You may be a good fit if you have: - 4+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders — from developers and product managers to executives and end users - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 - $265,000 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.
Software Engineer, Tokens and Prompt Structures
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: The Encodings Infra team maintains the libraries that engineers and researchers across Anthropic use to encode text and multimodal data into a form that Claude can consume. It also determines Claude’s prompt shape: how a user’s turn is represented to the model, how Claude calls tools and receives tool results, and so on. As a Software Engineer on this team, you'll own the design and maintenance of these libraries—keeping their APIs intuitive, their performance sharp, and their abstractions solid enough that most of the org never has to think about encodings or prompt structures at all. You’ll have the satisfaction of knowing that your work enabled Claude to learn new ways of understanding the world. This role is unusually broad: your work will touch systems across the codebase, from pretraining to finetuning to the API, and you'll collaborate closely with both researchers and engineers to make sure new encoding ideas can move quickly from experiment to production. Responsibilities: - Maintain and improve the encoding libraries used by engineers and researchers across Anthropic - Run experiments to determine the optimal way to feed structured data into Claude without confusing it - Design data structures and abstractions that shield most of the organization from the details of how encoded data works while enabling “power users” - Adapt the encoding libraries to support new research directions as they emerge, and make sure that we can ship these research ideas to production - Optimize encoding performance across the systems that depend on these libraries You may be a good fit if you: - Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs - Have familiarity with ML terminology and LLM architecture — you don't need to be an ML expert, but enough understanding to work effectively alongside researchers and understand the results of experiments - Have experience carrying out complex refactors in large codebases - Have strong communication skills and enjoy working closely with researchers and engineers to understand what they need - Are results-oriented, with a bias towards flexibility and impact - Pick up slack, even if it goes outside your job description - Care about the societal impacts of your work Strong candidates may also have experience with: - Tokenizers or other text/data encoding systems - Maintaining a widely-used library over a long period of time - Performance optimization - Python and/or Rust - Reinforcement learning or model training infrastructure Representative projects: - Working with a research team to ship a new multimodal data type (audio, video, etc) to production - Redesigning a core abstraction so that we can change how data is encoded into Claude without breaking downstream teams 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.
Customer Success Manager, 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 Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: - Build trusting, strategic relationships with key customer decision makers in complex, matrixed organizations; understand their business and objectives and identify opportunities for optimization and expansion - Own customer operations across the lifecycle of each account, maintaining a structured operational assessment (customer readiness, operational health, strategic alignment, enablement strategy, adoption intelligence) that grounds comprehensive account and success plans and Executive Business Reviews - Become an expert in Anthropic's products across API, Claude Code and Cowork, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of each customer, and the patterns you see across your other Tech accounts, to proactively drive consumption planning and the value story behind it, developing credible ROI hypotheses and quantifying outcomes that build the case for continued and expanded investment. - Monitor usage patterns and identify optimization opportunities across Claude surface areas (API, Claude Code, Cowork) to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Ruthlessly prioritize across the account's many business units and workstreams, building programmatic, repeatable motions You may be a good fit if you have: - 6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or Strategy Consulting - Experience working with F500 technology companies, SaaS platforms, or digital-first businesses at the exec level—ideally including high-growth and established tech companies. - You understand what it means to lead organization-wide change or adoption programs (multiple functions, hundreds of users) for a product that requires C-suite sponsorship - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users - Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes — you can run multiple enterprise motions in parallel without letting any account go quiet. - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Passion for AI and interest in responsible development of advanced systems. You have built with Claude Code, automating your own workflows with agents, skills, and tooling. - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality 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: $151,840 - $200,000 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.
Applied AI Architect, Healthcare & Life Sciences
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with Healthcare & Life Sciences organizations to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of Healthcare & Life Sciences customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. - Apply Healthcare & Life Sciences expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. - Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful Healthcare & Life Sciences expertise or strong fluency with the needs of Healthcare & Life Sciences organizations. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. 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.
Principal Customer Engineer, Majors
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 - Germany Responsibilities The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. - This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Desirable Skills, Knowledge, and Experience - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. - Business Fluency in German Bonus Points - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Compensation For Germany based hires: Estimated annual salary is between €148,000 - €204,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity: This role is eligible to participate in Cloudflare's equity plan. 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.
Principal Customer Engineer, Digital Natives
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 - Germany Responsibilities The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. - Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. - Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. - Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. - Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. - AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. - Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. - This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Desirable Skills, Knowledge, and Experience - Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). - Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. - Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. - Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. - Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. - Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: - Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. - Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. - Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. - AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. - Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. - Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. - Business Fluency in German Bonus Points - Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. - Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. - Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. - Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Compensation For Germany based hires: Estimated annual salary is between €148,000 - €204,000. This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan. Equity: This role is eligible to participate in Cloudflare's equity plan. 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.
Sales Development Representative - ANZ
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 As a Sales Development Representative at SpaceXAI, you'll be the tip of the spear for pipeline generation, the first voice a prospective customer hears, and the person who earns their attention before an Account Executive ever gets on a call. You'll work across the full range of our commercial segments, from fast-moving startups to mid-market engineering organizations, identifying the right buyers and creating the conditions for meaningful sales conversations. This isn't a role for someone who waits for leads to come in. You'll build pipeline from scratch, learn how great engineering teams think, and develop a deep understanding of how Cursor transforms developer productivity. It's the fastest way to learn enterprise sales at one of the most exciting companies in AI. This role will be based in Sydney. What you'll do - Generate qualified pipeline for our Account Executive team through high-volume outbound prospecting, including cold calls, personalized emails, LinkedIn, and creative multi-channel sequences - Research target accounts and map stakeholders across Engineering, Product, and Leadership to identify the right entry points - Conduct discovery conversations that go beyond surface-level qualification, understand how development teams work, what's slowing them down, and where Cursor fits - Partner closely with AEs to develop account strategies, hand off opportunities cleanly, and stay looped in as deals progress - Hit and exceed weekly activity targets and monthly qualified meeting goals - Represent SpaceXAI's brand and product with conviction; you'll be many prospects' first impression of the company - Bring market intelligence back to the team: what resonates, what objections are coming up, what messaging is landing - Help build the playbook. As an early SDR, your patterns and learnings will shape how this function scales You may be a fit if - You have 1–2 years of experience in a sales, customer-facing, or business development role. SDR/BDR experience at a SaaS or developer tools company is a strong plus - You're a relentless self-starter who takes ownership of your pipeline and doesn't wait to be handed leads - You write and speak with clarity. You can explain a complex product simply and tailor your message to a technical audience - You're curious about how software gets built and excited by the idea that AI is fundamentally changing the craft - You're organized and data-driven: you track your activity, learn from your numbers, and iterate quickly - You have thick skin and genuine resilience. You don't take rejection personally and you bounce back fast - You want to grow into an Account Executive role and are willing to put in the reps to get there
Inference Engineering and Product Lead
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role Modal's LLM inference platform delivers frontier performance https://modal.com/blog/kimi-k3-by-moonshot-now-available-on-modal for open-source models with best-in-class elasticity and developer experience, made in part possible by our custom runtime with GPU memory snapshots https://modal.com/blog/gpu-mem-snapshots and multi-cloud substrate https://modal.com/blog/resource-solver. We're looking for a leader to own the direction and execution of this platform to continue to establish us as the clear market leader, working closely with customers like Cognition, Doordash, Ramp, and many more. You'll be leading a group of highly talented engineers working on our market-leading LLM inference offering, spanning the serving stack, routing infrastructure, internal agentic optimization platform, and the user-facing product surface area. This is a hands-on leadership role — expect to split your time between technical contribution, product shaping and people management depending on what the team needs. You'll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, frontier inference serving, and performance optimization. Responsibilities Team - Recruit, hire, and grow a high-performing team of engineers; run regular 1:1s focused on coaching, feedback, and career growth. - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work. - Foster a culture of ownership, accountability, customer obsession, and continuous improvement. Technical and Product Direction - Drive technical and product decisions through design reviews, code reviews, and architectural discussions. - Lead our efforts working with customers with novel or frontier workloads so they can be successful running on Modal. - Translate learnings from frontier customers into a roadmap for our internal optimization platform and user-facing product, so that gains from optimization and research efforts are accessible to all of our users. - Establish standards for reliability and product excellence; ensure the team owns projects end-to-end, from spec through production. Cross-Functional Leadership - Partner with business operations and compute strategy on continuing to develop our strategy for compute purchases across a variety of accelerators. - Collaborate with GTM on product launches, positioning, and improving win rates for inference opportunities. - Help guide the roadmap for teams building the infrastructure platform underlying inference, as well as adjacent product teams. Requirements - 10+ years of industry experience, including 3+ years in a leadership role - Track record building high-performance systems at scale - Strong background in cloud infrastructure - Deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) - Nice to have: Experience working with LLM inference in production and familiarity with underlying concepts like engines, kernels, routing, KV cache management and speculative decoding.
AI Deployment Strategist, Australia
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. ROLE SUMMARY As a AI Deployment Strategist, you will bridge the gap between vision and execution, ensuring our customers not only see the potential of AI but realize its value in their operations. This role is a unique blend of strategic advisory and hands-on deployment leadership, spanning both presales and postsales phases. You will act as a trusted advisor to C-suite executives, architecting AI solutions that drive transformation and delivering measurable business outcomes. You will be embedded in our most strategic accounts, diagnosing business challenges, designing AI-powered solutions, and leading their deployment from concept to full-scale adoption. This role demands a rare combination of executive presence, technical credibility, and commercial acumen, with a focus on both winning and delivering high-impact AI initiatives. WHAT YOU WILL DO Strategic Advisory & C-Suite Partnership • Serve as the lead strategic advisor for a portfolio of high-value enterprise clients, building trusted relationships with executive leadership (CEO, CTO, CIO). • Lead C-suite workshops to diagnose business drivers and co-create multi-year AI transformation roadmaps aligned with corporate strategy. • Develop and present compelling business cases and proposals, articulating the ROI of AI adoption and the value of Mistral’s platform. Presales: Shaping the Vision • Partner with sales and product teams to identify and qualify opportunities, positioning Mistral’s solutions as the catalyst for enterprise transformation. • Design tailored AI strategies and proof-of-concepts that address critical business challenges and demonstrate tangible value. • Act as a subject matter expert in client engagements, ensuring our solutions are understood, trusted, and adopted. Postsales: Driving Deployment & Adoption • Own the end-to-end success of AI deployments, from strategic planning to operational integration, ensuring solutions are embedded into the customer’s core workflows. • Lead cross-functional teams of engineers, data scientists, and product managers to execute deployment roadmaps and deliver measurable results. • Navigate organizational complexity and drive change management to ensure seamless adoption and long-term success. Commercial Growth & Thought Leadership • Identify and cultivate expansion opportunities within accounts, connecting Mistral’s capabilities to new business challenges and driving commercial growth. • Mentor junior strategists and contribute to the development of best practices, methodologies, and playbooks for customer engagement. • Represent Mistral AI as a thought leader through speaking engagements, executive briefings, and industry contributions. ABOUT YOU • You have 8+ years of experience in technical management consulting, enterprise technology, or a customer-facing strategic role, with a focus on AI/ML, data architecture, or digital transformation. • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You possess a deep, practical expertise in AI/ML concepts, enterprise data architecture, and modern software development with hands-on development of AI solutions—enough to credibly engage with technical teams and executives alike. • You have a proven track record of engaging and influencing C-suite executives, with the ability to navigate complex conversations and align AI strategies with business objectives. • You excel at structuring ambiguous problems into actionable programs and thrive in fast-paced, high-stakes environments. • You are equally comfortable in presales and postsales: shaping deals, designing solutions, and ensuring their successful deployment. • You have experience managing high-value accounts, understanding deal mechanics, and building compelling cases for investment. • You are a collaborative leader who can motivate cross-functional teams and drive results through influence, not authority. • You are open to frequent travel as the role demands We are looking for adaptable, low-ego team players who are passionate about turning AI vision into reality and delivering transformative impact for our customers. HIRING PROCESS • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check 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.
Applied AI Architect, Partner
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within the team, Partner Applied AI Architects work with strategic partners—including global and regional system integrators, consulting and advisory firms, and technology partners—to extend OpenAI’s technical reach and help partners deliver high-quality AI solutions for our joint customers. We bring together technical strategy, partner enablement, architecture expertise, and practical deployment experience, working closely with Partnerships, Sales, Product, Engineering, Research, Security, and specialist delivery teams. About the Role As a Partner Applied AI Architect , you will be a senior technical advisor to a portfolio of strategic partners and the primary technical counterpart to their leadership and delivery organizations. You will shape how partners build practices around OpenAI, develop solutions using our products, and take joint customers from AI opportunity and technical evaluation through production adoption and measurable business impact. You will own the technical strategy and architecture across partner engagements involving ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with the Revenue Partnerships team, you will translate joint business priorities into technical strategies, solution patterns, enablement plans, and a focused portfolio of high-value customer opportunities. You will work directly with partners on strategic customer engagements—leading discovery, shaping architectures, navigating complex technical decisions, and helping secure technical wins—while building the partner capabilities required to deliver successfully and independently at scale. You will remain accountable for the technical quality and outcomes of the partnership while bringing in the right specialists across deployment, implementation, security, product, enablement, and other teams when deeper expertise is needed. The role calls for strong architectural judgment, executive presence, partner leadership, and the ability to move confidently between business strategy and hands-on technical conversations. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a portfolio of strategic partners, building trusted relationships with their executives, AI leaders, architects, engineering teams, and delivery organizations. - Partner closely with the Revenue Partnerships team as one virtual team, aligning partner strategy, technical priorities, joint customer opportunities, and measures of success. - Develop the technical strategy and plan for each partner , identifying priority solutions, use cases, technical capabilities, enablement needs, delivery risks, and opportunities to drive customer adoption. - Assess prospective and existing partners’ technical capabilities and delivery readiness, identifying strengths, gaps, and the investments required to successfully deliver OpenAI-powered solutions. - Lead technical discovery with partners and joint customers to identify, qualify, and prioritize AI use cases tied to meaningful business outcomes. - Develop clear Applied AI architectures spanning models, applications, enterprise data, integrations, identity, security, privacy, governance, evaluation, reliability, and deployment. - Collaborate with partner sales and technical teams on strategic opportunities, providing technical guidance through discovery, demonstrations, workshops, prototypes, architectural recommendations, and proofs of value. - Guide partners through their initial and most strategic OpenAI deployments, helping them navigate technical tradeoffs and production dependencies while ensuring solutions meet a high bar for quality, security, reliability, and responsible deployment. - Build partner capability and technical self-sufficiency through tailored enablement, architectural guidance, reusable solution patterns, technical workshops, and mentorship. - Establish clear standards and mechanisms for partner-delivered solution quality , identifying risks early and intervening when architecture, implementation, security, evaluation, or adoption issues threaten customer outcomes. - Orchestrate the right OpenAI specialists across Deployment Engineering, Product, Security, implementation, enablement, and domain teams while maintaining clear ownership and handoffs between OpenAI and partner delivery teams. - Track partner capability, joint pipeline technical progress, production adoption, usage, solution quality, and measurable customer impact to identify where additional investment or intervention is needed. - Identify repeatable patterns across partner engagements and turn them into architectures, playbooks, reference solutions, and best practices that allow successful approaches to scale across partners and customers. - Bring insights from partners and joint customers back to Product, Engineering, Research, and Partnerships, helping shape product strategy, technical guidance, and the broader OpenAI partner ecosystem. You might thrive in this role if you: - Have significant experience in senior customer- or partner-facing technical roles such as solutions architecture, partner engineering, field architecture, technical account leadership, AI deployment, or technical consulting. - Have worked successfully with global or regional system integrators, consulting firms, or other technology partners , and understand how partner organizations sell, architect, and deliver complex enterprise technology. - Have guided complex enterprise organizations from technical discovery and evaluation through production deployment, adoption, and measurable business impact . - Can build credibility with CTOs, CIOs, CISOs, partner executives, and AI leaders while communicating equally effectively with architects and hands-on engineers. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, enterprise data, integrations, identity, security, privacy, and governance. - Understand modern AI systems, frontier LLMs, agentic applications, model evaluation, retrieval, and enterprise AI workflows. - Can prototype when useful, explain technical tradeoffs clearly, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Have experience enabling technical organizations at scale , turning your own expertise into repeatable architectures, training, patterns, and practices that others can successfully apply. - Understand enterprise security and compliance requirements and can guide partners and customers through the technical considerations required to move AI systems safely into production. - Are comfortable balancing the needs of OpenAI, the partner, and the end customer, and can exercise sound judgment when those priorities do not perfectly align. - Know when to go deep personally, when to coach a partner toward the answer, and when to engage specialist resources. - Can prioritize across a portfolio of partners and customer opportunities, focusing technical resources on the work most likely to create durable customer value and adoption. - Communicate clearly and can turn ambiguity into a practical architecture, executive decision, enablement plan, or path to production. - Own problems end-to-end, learn quickly, and care deeply about helping partners and customers deploy advanced AI responsibly. 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.
Applied AI Engineer, Australia
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 Role As a Applied AI Engineer on the Applied AI team, you will bridge the gap between Mistral’s cutting-edge AI research and real-world enterprise applications. This role exists to ensure our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision. The Applied AI team is Mistral’s customer-facing technical organization, working directly with enterprise clients from pre-sales through implementation. We combine deep machine learning expertise with strong customer engagement, operating like startup CTOs who own end-to-end project execution. By joining this team, you will drive the adoption of Mistral’s products, helping customers deploy AI solutions that deliver measurable business impact across industries. What You Will Do - Deploy production-ready AI use cases with significant business impact across diverse industries. - Develop state-of-the-art GenAI applications, from consumer products to industrial solutions, driving technological transformation for customers. - Collaborate with researchers, AI engineers, and product teams on complex customer projects involving fine-tuning, advanced LLM applications, and contributions to open-source codebases. - Participate in pre-sales calls to understand client needs, challenges, and aspirations, providing technical guidance on Mistral’s products. - Work with product and science teams to continuously improve model and product capabilities based on customer feedback. What We're Looking For - Fluency in English. - Experience as a technical individual contributor (data scientist or software engineer) on AI-based products. - Proven track record in implementing AI or machine learning products with APIs, back-end, and front-end interfaces. - Hands-on experience with fine-tuning LLMs, advanced RAG, or agentic use cases. - Deep understanding of machine learning and LLM concepts and algorithms. - Strong technical coding skills in Python. - Ability to explain complex technical concepts clearly to both technical and non-technical audiences. - Contributions to open-source projects, particularly in the LLM space. 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 . Privacy Policy Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy .
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