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Digital Quality Engineering Specialist
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Construction Project Manager
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Chief Solutions Engineer
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Chief Engineer, Radar
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Chief Engineer, Radar
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
C++ Engineer, High-Performance Systems
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Associate Facilities Manager
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Algorithm Engineer, Tracking Systems
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Algorithm Developer, Tracking Systems
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center.
Expert Mendix Developer
Position Summary The Expert Mendix Developer is a senior, hands-on technical role responsible for the design, build, and long-term health of AIO Logic's Mendix applications, including AXIS, our AI-powered loan origination, servicing, and management platform. This person translates complex commercial lending business logic into scalable Mendix microflows, domain models, and UI components; extends the platform through custom Java actions, widgets, and integrations; and leads architectural decisions that keep the codebase clean, secure, and maintainable as AIO Logic scales.
Senior Manager, Data Platform Engineering
Opportunity Overview: We are seeking a Senior Manager, Data Platform Engineering to lead a critical part of Cohere Health’s Data Platform team as we continue scaling our technology, engineering practices, and client delivery capabilities.This role combines people leadership, technical judgment, and strong execution ownership to build a high-performing engineering team and drive predictable delivery, technical excellence, and operational reliability across complex data initiatives. You’ll partner closely with Product, Engineering, Architecture, Client Delivery, and business stakeholders to build a scalable, trusted data foundation that supports Cohere’s continued growth.
Software Engineer II, Client Platform
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Software Engineer II San Mateo - Hybrid Why PlayStation? PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment, producing the PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly owned subsidiary of Sony Corporation. The Opportunity As a Software Engineer II on the Client Platform team , you’ll play a key role in building the next generation of PlayStation experiences. You’ll collaborate with talented engineers and designers to craft intuitive, performant, and beautiful cross-platform applications that reach millions of players around the world. This team builds the core application framework, shared libraries, and foundational components that other product and feature teams rely on to deliver PlayStation experiences to millions of users worldwide. You’ll work with senior engineers to design and maintain the underlying systems that make PlayStation applications fast, scalable, and consistent across environments — giving other teams the tools and flexibility to innovate. This is your chance to help shape how players connect, discover, and engage across the PlayStation ecosystem — from concept to launch and beyond. Responsibilities - Design, develop, test, and document React-based cross-platform applications that deliver seamless and consistent user experiences. - Collaborate with Product Owners and Product Managers to translate feature requirements into scalable, maintainable solutions. - Partner with cross-functional teams to define architecture and ensure best practices for performance, accessibility, and reliability. - Write comprehensive unit and component tests to maintain product quality and prevent regressions. - Participate in peer reviews and provide constructive feedback on design and implementation. - Continuously improve development workflows and contribute to evolving engineering standards. - Explore innovative ideas and emerging technologies through Hackathons and Café Days to help drive future PlayStation experiences. Required Qualifications - Bachelor’s degree in Computer Science or a related field, or equivalent professional experience. - 4+ years of development experience building user-facing applications or systems using JavaScript/TypeScript. - Strong proficiency in React and related tools and libraries. - Demonstrated experience creating and maintaining cross-platform applications . - Strong problem-solving skills and attention to quality. - Excellent communication and collaboration skills in a distributed team environment. - Hands-on experience with modern build and testing tools such as Webpack, Babel, Jest, or similar. - Familiarity with GraphQL , RESTful APIs , and containerization (e.g., Docker). - Experience with CI/CD pipelines and automated testing frameworks. - Understanding of performance optimization, accessibility, and responsive design principles. - Interest or experience in applying AI/ML concepts to enhance user experiences — such as intelligent UI behaviors, personalization, recommendation systems, or automated testing tools. - Experience integrating or experimenting with AI-powered development tools , frameworks, or APIs (e.g., code assistants, generative models, or LLM-based automation). - Experience working on mobile applications on Apple ecosystem. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $163,000 - $245,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Senior Applied Scientist
The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: - Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases - Leverage machine learning algorithms and statistical techniques to build new scalable product features - Develop, deploy and monitor new and existing features to production - Participate in our journal club by reading and presenting the latest academic research papers to the team - Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems - Maintain and monitor the models, services and infrastructure owned by your team - Participate in your team’s on-call rotation Who You Are: - You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience - You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines - You can explain complex ideas and algorithms to non-technical audiences - You care about code simplicity and performance - You are excited to work on a user-facing product Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: - Competitive global benefits - New hire stock equity (RSUs) and employee stock purchase plan (ESPP) - Opportunity to collaborate closely with colleagues across the Datadog offices in New York City and Paris - Opportunity to attend and present at conferences and meetups - Intra-departmental mentor and buddy program for in-house networking - An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. LI-Hybrid Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $220,000 - $275,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form . This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice . For information on our AI policy, please visit Interviewing at Datadog AI Guidelines .
Staff DevSecOps Engineer
About IonQ: IonQ, Inc . [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. What to expect The Platform Engineering team builds, secures and operates scalable infrastructure supporting cloud-managed SaaS products with on-premises components deployed at customer sites. As our Staff DevSecOps Engineer, you will provide the technical leadership for our software factory, defining how software is built, secured and released across the organisation. You will own the roadmap, architecture and tooling that enable every engineering team to deliver software securely, consistently and at scale, while remaining hands-on with automation, infrastructure and platform engineering. Working closely with Architecture, Site Reliability Engineering, Cloud Operations and Product Development, you will drive an automation-first culture where secure software delivery, developer experience and operational excellence are embedded into every stage of the software lifecycle. - Define and evolve the software factory, including CI/CD platforms, release engineering, developer tooling, Infrastructure as Code, dependency management and software supply-chain security. - Deliver secure-by-default engineering practices through automated security controls, policy enforcement, vulnerability management, compliance automation and AI-driven workflows. - Mentor engineers, establish engineering standards and collaborate across technical teams to deliver scalable, secure and highly automated development platforms. What you'll be doing You will lead the design, implementation and operation of the organisation's DevSecOps platform, ensuring software moves securely and efficiently from commit to production. You will develop reusable CI/CD pipelines, Infrastructure as Code modules and self-service developer capabilities that improve productivity whilst maintaining the highest security standards. You will own release management, dependency and supply-chain security, security operations and hybrid infrastructure consistency across cloud and on-premises environments. You will also drive the adoption of agentic automation and AI-enabled workflows to reduce manual effort, improve operational efficiency and enhance software delivery. - Own the software-factory roadmap, CI/CD platform, release engineering, Infrastructure as Code, internal developer platform and software supply-chain security. - Embed security throughout the delivery pipeline through automated scanning, policy enforcement, vulnerability management, secrets management and continuous compliance. - Develop agentic automation for pipeline operations, dependency management, release processes and operational support, while providing technical leadership, mentoring and engineering governance. What you'll bring You are an experienced DevSecOps or Platform Engineering leader with more than eight years of production engineering experience and recent hands-on responsibility for building and operating enterprise-scale CI/CD platforms. You have designed production Infrastructure as Code, embedded security into delivery pipelines and delivered measurable improvements across software delivery, release management, dependency governance or vulnerability remediation. You are passionate about automation and continuously removing manual effort through tooling, scripting and intelligent workflows. - 8+ years of production engineering experience with recent hands-on responsibility for enterprise-scale CI/CD platforms, Infrastructure as Code and production automation. - Proven experience embedding security into software delivery through automated scanning, policy enforcement, vulnerability management and measurable operational improvements. - Strong scripting and automation skills, with a demonstrated ability to simplify complex operational processes through reusable tooling and automation. You'll be a great fit with You have deep expertise in modern software supply-chain security, internal developer platforms and secure software delivery. You understand how to balance developer productivity with governance, compliance and operational resilience, while creating platforms that engineering teams enjoy using. You bring practical experience of AI-enabled software delivery, modern release engineering and cloud-native platform design, with a passion for building secure, scalable and highly automated engineering ecosystems. - Proven expertise in software supply-chain security, including artefact signing, Software Bills of Materials (SBOMs), provenance and SLSA principles. - Experience designing internal developer platforms, self-service engineering capabilities and release management processes, including expedited production releases. - Hands-on experience with agentic automation, AI or LLM security, and intelligent workflow orchestration within modern DevSecOps environments. Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401(k), unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!
Workplace Operations Manager
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 Workplace Operations Manager based in our Palo Alto office — Mistral's North America HQ (~11k sq ft in Downtown Palo Alto) — you'll own the day-to-day operations and overall office experience. You'll manage vendors, run employee engagement events, coordinate onboarding, and serve as a culture champion. Reporting to the Office Management Lead AMER/APAC, you'll also support regional programs and initiatives, with a path to grow into a right-hand role for the broader AMER/APAC workplace strategy. What You Will Do: - Daily Office Operations — daily inspections, mail/packages, facilities & building management, food/snack/beverage programs - Vendor & Facilities Management — vendor relationships & contracts, maintenance/repairs, evaluation cadence - Employee Experience & Onboarding — new hire desk setup/equipment/onboarding, swag programs, first point of contact for employee questions - Event Programming & Culture — all-hands, holiday parties, team offsites; building an attendance/engagement strategy Who You Are: - 4+ years in Office Management or Workplace Operations (startup/scale-up a plus) - Tech-savvy: Google Workspace, Slack, Notion, ticketing systems - Experience with access control & visitor management systems - Exceptional organizational, communication, and interpersonal skills - Service-oriented, proactive, discreet, with a positive can-do attitude - Experience with workplace/space utilization data (Excel, Tableau, Power BI) - Experience with office build-outs, relocations, or renovations 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.
Revenue Leader - Mid-Market, India
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE As Mid-Market Revenue Leader, you will be the strategic driver behind scaling and optimising our Mid-Market AE organisation. You’ll own revenue outcomes and team performance across our Mid-Market segment, with a strong focus on building repeatable, high-velocity sales motions. This role blends hands-on leadership with strategic execution in a fast-growing environment. In this role, you will: - Define and execute the go-to-market strategy for India Mid-Market accounts, including quotas, segmentation, and territory design. - Lead, coach, and scale a team of Mid-Market AEs, owning recruiting, onboarding, enablement, and performance management. - Own pipeline health and forecasting, driving consistency and improving conversion rates across each stage of the funnel. - Develop and refine sales playbooks, motions, objection frameworks, and deal models tailored to Mid-Market buyers and voice AI/conversational use cases. - Partner cross-functionally with Marketing, Product, Growth, and Customer Success to align positioning, messaging, and expansion opportunities. - Establish feedback loops by synthesising insights from prospects and customers to help inform GTM strategy and product roadmap decisions. REQUIREMENTS - 10+ years of SaaS or technology sales experience, with meaningful experience leading or scaling Mid-Market AE teams. - 3+ years in a first-line or second-line sales management role. - Demonstrated success surpassing revenue targets in a Mid-Market or velocity-oriented sales environment. - Strong command of sales metrics, funnel optimisation, forecasting, and process rigor. - Experience selling technical, AI, or API-driven solutions to CXO level stakeholders. - Excellent communication skills and ability to influence across teams and seniority levels. - Comfortable operating in fast-paced, ambiguous, high-growth environments with high ownership. LOCATION : BENGALURU, MUMBAI, DELHI NCR #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Customer Success - EMEA
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. This role is remote and can be executed across EMEA. If you prefer, you can work from our offices in Dublin, London or Warsaw. ABOUT ELEVENLABS ElevenLabs is a research and product company defining the frontier of Audio AI. Millions of individuals use ElevenLabs to read articles, voice over their videos, and reclaim voices lost from disability. And the leading developers and enterprises use ElevenLabs to create Conversational AI agents for support, sales, and education. ElevenLabs launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing ElevenLabs at $3.3 billion. The round was co-led by Andreessen Horowitz and ICONIQ Growth, with continued support from the leading names in tech, including Nat Friedman, Daniel Gross, Instagram co-founder Mike Krieger, Oculus VR co-founder Brendan Iribe, DeepMind and Inflection co-founder Mustafa Suleyman, and many others. ElevenLabs is only 2 years old and scaling rapidly. We are just getting started. If you want to work hard and have an incredible impact, we would love to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Learning & development: Annual discretionary stipend towards professional development. - Social travel: Annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: We bring the entire company together at a new location every year. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. ABOUT THE ROLE - Be part of an early CS team with endless opportunities for impact . You’ll partner with the CS team to help develop a scalable CS playbook and framework that supports our customers in EMEA. - Build, maintain and own strong relationships with a book of 40-50 enterprise clients. - Play a key role in onboarding new clients and driving long term adoption of multiple products. - Monitor customer usage and adoption of our products to identify areas for improvement or revenue expansion. - Own expansion and renewal of accounts within your book of business - this is a commercial role. - Own your customer success KPIs (NRR/GRR) and contribute to CS OKR goals. REQUIREMENTS - 5-7 years of previous experience in Customer Success in a fast paced, SaaS organisation. - Experience demonstrating and unlocking value for customers with technical, mission critical products (such as conversational AI). - Commercial experience - you will own renewals and expansion for your book of business, driving towards best in class NRR results. - Demonstrates a strong builder mindset with a relentless focus on customer excellence and scalable product solutions. - Exceptional communicator with the ability to establish, nurture, and maintain relationships across all levels of customer organizations, including complex stakeholder environments. - Strong analytical thinker and creative problem-solving skills to address diverse customer challenges and drive optimal outcomes. - Must be fluent in English - additional languages are a plus. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Operations Associate
Data & Infrastructure Associate Role Description The Data & Infrastructure Contractor supports analytics, reporting, KPI tracking, and data infrastructure initiatives across Pay Operations, Contractor Growth, CR & Training, and Robotics teams. This role combines hands-on data analysis with the development and maintenance of reporting tools, dashboards, and structured datasets that enable operational visibility and informed decision-making. The position works closely with Contractor Leads to ensure data accuracy, consistency, and timely reporting. Responsibilities 1. Pay Analytics Support (Contractor Ops) - Provide reliable and structured data support to the Pay team. - Maintain and improve pay-related datasets to ensure accuracy and consistency. - Build and maintain recurring reports and dashboards to support contractor pay tracking. - Assist in identifying discrepancies and supporting audit processes. 2. CR & Training Data Support - Support the definition and tracking of core KPIs for CR and Training contractor teams. - Build and maintain recurring performance reports. - Ensure KPI definitions are documented and consistently applied. - Assist teams with ad-hoc data requests and analysis. 3. Growth Analytics Support (Contractor Ops) - Maintain and optimize queries used for candidate sourcing and prioritization. - Support analysis to improve candidate throughput and quality. - Assist in tracking performance metrics related to growth initiatives. - Contribute to experimentation analysis and reporting. 4. Robotics & Workforce KPI Tracking - Support the implementation and tracking of operational KPIs. - Maintain reporting structures to monitor workforce performance. - Collaborate with stakeholders to ensure consistent measurement practices. 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.
GTM Data Analytics Engineer
About the Role We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will help build and maintain the data infrastructure and reporting used across go-to-market, finance, and product teams, working closely with analytics colleagues across both the GTM and core data teams to deliver reliable, well-documented data products. Responsibilities - Develop and maintain dashboards and reports primarily supporting GTM stakeholders, with additional use by Finance, Product, and other cross-functional teams; assist with deep-dive analyses on business performance and trends. - Pull and analyze data from source systems (Salesforce, Amplitude, production systems, billing) to support reporting and ad hoc requests. - Use SQL to extract, clean, and analyze data, with attention to correctness and efficiency. - Build foundational SQL and business knowledge and quickly grow into contributing to dbt models within Snowflake, following established dimensional modeling standards. - Partner with GTM, Finance, and Product stakeholders to understand data needs and keep reporting and definitions consistent. Requirements - Bachelor's degree in Business Analytics, Data Science, Statistics, Computer Science, or a related quantitative field. - 1-3 years of experience in a Data Analyst, BI, or Analytics Engineering role. - Strong SQL skills required, with the ability to write complex, multi-step queries involving joins and aggregations; experience with dbt and/or Python is a strong plus. - Familiarity with a cloud data warehouse (Snowflake preferred) and BI tools (Hex, Metabase). - Strong attention to detail and ability to manage multiple priorities in a fast-paced environment. - Excellent communication skills, with the ability to explain data findings to non-technical stakeholders. About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 120K - $150K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy .
Startup Content Marketing Manager
About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of AI. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with product, engineering, developer relations, comms, and sales teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role We’re looking for a Startup Content Marketing Manager who loves technology and wants to work closely with the founders building new products and companies with OpenAI. At OpenAI, you’ll work inside the company building the models and directly with founders turning those capabilities into new products and companies. You’ll try what they’re building and dig into the ideas, technical choices, and lessons behind their work. You’ll turn those discoveries into founder stories, practical guides, demos, and campaigns that help other builders see what’s possible and imagine what they could create next. This is a high-agency, hands-on individual-contributor role. You’ll own campaigns from the first founder conversation through publication and results. You’ll work with startup customers, ecosystem partners, and colleagues across OpenAI, with room to follow a promising idea, try an unexpected format, and make something founders genuinely want to read, watch, and share. In this role, you will: - Build relationships with founders and technical teams, get hands-on with their products, and uncover stories and practical lessons other builders can apply to their own work. - Own defined startup content campaigns from the first idea and creative brief through production, distribution, and measurement. - Support co-marketing programs with startup customers and ecosystem partners, helping turn their work into stories that are valuable to both the featured company and the wider founder community. - Write, create, and coordinate founder profiles, customer stories, practical guides, demos, and other content across social, email, events, partner channels, and founder communities. - Partner with field and events teams to capture compelling ideas, conversations, and product moments, then turn them into content that reaches well beyond the room. - Work with startup GTM, customer marketing, product marketing, social, and communications to make each story accurate, distinctive, and useful to its intended audience. - Build clear briefs, editorial calendars, and repeatable workflows that help good ideas move quickly from discovery to publication. - Define success, track performance, and use audience feedback and data to improve the stories, formats, and channels you pursue next. You might thrive in this role if you: - Have 4+ years of experience in B2B, content, customer, or integrated marketing. - Have worked with startup, founder, builder, or developer audiences and understand what earns their attention and trust. - Can point to content campaigns or co-marketing programs you helped bring to life, explain your contribution, and show what you learned from the results. - Take ownership of a defined project, make sound decisions with incomplete information, and keep work moving through ambiguity. - Proactively identify and resolve blockers, flag risks early, and know when to ask for a decision, more context, or cross-functional support. - Build strong relationships with founders, customers, and colleagues, and can bring people with different priorities together around a clear plan. - Love the craft of storytelling. You ask good questions, notice the revealing detail, and can explain a technical idea clearly without losing what makes it interesting or accurate. - Are deeply curious about technology and AI. You enjoy trying new products, understanding how they work, and talking with the people building them. 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.
Solutions Engineering, Ads Solutions (Singapore)
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution. This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform. In this role, you will: - Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure. - Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals. - Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks. - Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting. - Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance. - Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions. - Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities. - Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally. - Help train internal sales and success teams on technical capabilities, integrations, and evolving product features. You will thrive in this role if you: - Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role. - Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations. - Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses. - Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders. - Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets. - Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch. - Demonstrate strong ownership, bias for action, and customer empathy. - Care deeply about responsible platform growth, user trust, and long-term partner success. 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 Support Specialist, Ads
About the Team OpenAI’s User Operations team ensures that our customers’ experience is nothing short of exceptional. We resolve complex issues, provide guidance, and support customers in maximizing value with our products. Within User Operations, Ads Safety Operations helps OpenAI grow advertising in a way that is safe, trusted, and sustainable for advertisers, users and the business. The Ads Safety Support team sits within Ads Safety Operations and owns the advertiser-facing support journey: helping advertisers navigate ads products, policies, reviews, and enforcement decisions while turning frontline insights into better guidance, tooling, and product experiences. About the Role We’re looking for a Senior Advertiser Support Specialist to help build and scale advertiser support within Ads Safety Operations. You’ll work directly with advertisers through support tickets, escalations, owning high-impact questions related to ads policies, review outcomes, product behavior, and operational processes. Many cases will be novel or ambiguous, and you’ll be expected to investigate carefully, communicate clearly, and drive them to resolution in a fast-moving product environment. As OpenAI’s advertising ecosystem grows, your work will help advertisers operate successfully at scale while serving as a critical bridge between frontline support and the teams responsible for product quality, policy integrity, and platform safety. Beyond resolving individual cases, you’ll help define what world-class support looks like in an AI-native environment. You’ll turn support interactions into operational intelligence, identifying recurring friction, gaps in guidance, and emerging issues to improve support at scale, and protect the quality and safety of OpenAI’s ad ecosystem. You’ll partner closely with Engineering, Product, Policy, Legal and Go To Market partners to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. In this role, you will: - Own advertiser cases from initial intake through resolution, including complex or sensitive Ads Trust & Safety escalations; investigate whether issues stem from policy, review operations, product behavior, tooling, or another dependency, then communicate clear next steps and follow through. - Develop deep expertise across advertiser workflows, ads policies, enforcement processes, review systems, and support tooling. - Build a detailed view of advertiser friction by combining ticket themes, escalation patterns, quality findings, and service metrics to prioritize improvements and identify emerging experience or safety gaps. - Turn frontline learnings into clearer help content, stronger playbooks, better routing and escalation criteria, improved knowledge management and quality standards, and self-service opportunities. - Partner with Product, Policy, Engineering, Legal, Data Science, and Go To Market teams to resolve recurring issues, surface advertiser feedback, and scale durable solutions. - Drive operational excellence through AI-assisted workflows and automation that reduce manual effort, improve team efficiency, and elevate support quality. - Support readiness for new ads formats, features, and markets by anticipating advertiser questions and identifying support risks early. - Providing occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you: - Have 6+ years of experience in customer support, user operations, ads operations, Trust & Safety, risk operations, escalations, or a related field, including ownership of high-impact customer or advertiser cases. - Bring strong investigative judgment and can translate ambiguous signals into policy support, operational gaps, product defects, and expected behavior - Can synthesize data trends, feedback, QA findings, and service metrics into clear priorities and system improvement while maintaining strong judgment and safeguards - Have improved support processes, knowledge bases, escalation workflows, routing systems, or quality programs. - Are comfortable using AI and emerging technologies (i.e. Codex, ChatGPT, OpenAI API, etc.) and/or code (e.g. Python) to automate repetitive tasks and integrating tools - Build trust with cross-functional partners, communicate clearly and empathetically with advertisers and internal teams, and drive action without formal authority. - Thrive in ambiguity, learn quickly, manage competing priorities, and bring a humble, service-oriented mindset. - Bonus: Understand advertiser workflows, ads ecosystems, policy enforcement, account reviews, or ads safety operations. 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.
Marketing Template
About the Team Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies. About the Role As a Product Marketing Manager for Partner Marketing on the Hardware team, you will help shape the partnership strategy for a new product ecosystem and bring that ecosystem to market with the right partners, programs, and commercial motions. This role calls for a strategic, relationship-oriented marketer who can identify high-potential partners, understand their priorities, and turn shared opportunities into durable, high-impact go-to-market plans. You will work closely with Product, Design, Engineering, Integrated Marketing, Sales, Comms, Finance, Legal, and partner-facing teams to define how first-, second-, and third-party partners participate in our hardware ecosystem. You will lead the marketing and commercial aspects of partnerships, support joint launches, and ensure partner needs are understood internally while OpenAI’s product, brand, and customer experience standards are represented externally. This role reports into the VP of Product Marketing, Hardware, and offers a unique opportunity to build the partner marketing foundation for a new category of AI-powered devices. In this role, you will: - Help craft and implement the partnership strategy for OpenAI’s hardware product ecosystem. - Identify, prioritize, and evaluate potential partners for participation in first-, second-, and third-party partner programs. - Build and maintain strong relationships with partners, serving as a trusted counterpart through launches, growth moments, ambiguity, and challenges. - Understand partner stakeholders, business models, priorities, and constraints, and advocate for those perspectives internally. - Lead the commercial marketing aspects of partnerships, including positioning, launch strategy, sales enablement, distribution, and joint marketing plans. - Manage partner execution for joint product launches, campaigns, events, and other go-to-market efforts. - Partner cross-functionally with Product, Design, Engineering, Legal, Finance, Sales, Comms, and Integrated Marketing to align partner strategy with product and business goals. - Develop partner narratives, messaging, and materials that clearly communicate the value of OpenAI’s hardware products and ecosystem. - Monitor partner performance, market feedback, and customer signals to improve future programs and deepen partner impact. You might thrive in this role if you: - Have 10+ years of experience in product marketing, partner marketing, business development marketing, ecosystem marketing, or related go-to-market roles. - Have experience building or scaling partner programs, ideally in consumer hardware, platforms, devices, developer ecosystems, or emerging technology categories. - Are highly relationship-oriented and can build trust with external partners while navigating complex internal priorities. - Can translate partner needs, customer insights, and product strategy into clear positioning, launch plans, and commercial programs. - Have led successful cross-functional launches or campaigns with multiple internal teams and external partners. - Bring strong business judgment across marketing, sales, distribution, and commercial partnership models. - Are an excellent communicator and storyteller, with the ability to influence senior stakeholders internally and externally. - Are comfortable operating in a fast-moving, ambiguous environment where the strategy, product, and ecosystem are being built in parallel. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Partner Director, PwC
About the Team OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable responsible enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work cross-functionally across Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, Operations, and Customer Success to translate strategic partnerships into measurable outcomes for customers. Global consulting and advisory partners are essential to helping enterprises move from AI strategy to production deployment. PwC brings global reach, deep industry and functional expertise, technology and transformation capabilities, and longstanding relationships with complex and regulated enterprises. This role will lead OpenAI’s global partnership with PwC and create the strategy, operating model, and field motions needed to turn that relationship into repeatable customer and commercial impact. This role is based in San Francisco, New York City, or Seattle. We use a hybrid work model of three days in the office per week. About the Role We are hiring a Partner Director, PwC to serve as the single accountable owner of OpenAI’s strategic relationship with PwC globally. You will define the partnership thesis and joint business plan, build executive alignment, activate PwC’s industry, advisory, technology, sales, and delivery organizations, and develop repeatable go-to-market motions that accelerate enterprise AI adoption. This is a strategic and hands-on leadership role. You will move fluidly between senior executive engagement, joint account and opportunity strategy, solution and delivery alignment, field enablement, governance, and day-to-day execution. Success requires a strong understanding of how a large, matrixed professional-services organization operates, commercial discipline, technical fluency, and the ability to align teams without relying on formal authority. The ideal candidate has led a high-impact global alliance with PwC, built measurable pipeline and customer outcomes through partnerships, and knows how to convert company-level strategy into productive field behavior and successful deployments. In this role, you will: - Own the global PwC relationship, including alliance strategy, executive alignment, joint planning, pipeline growth, customer outcomes, delivery quality, and long-term expansion. - Develop and execute a joint business plan with clear priorities, investments, decision rights, milestones, and measures of success. - Build trusted relationships across PwC’s global and regional leadership, industry and functional practices, alliance teams, client partners, sales organizations, architects, and delivery leaders. - Translate executive commitments into repeatable field motions spanning account mapping, opportunity qualification, co-selling, solution development, technical engagement, delivery handoffs, and escalation. - Shape joint propositions and transformation plays that combine OpenAI products and capabilities with PwC’s industry, advisory, technology, data, security, risk, governance, and delivery strengths. - Lead joint account planning and strategic customer pursuits with PwC and OpenAI field teams, with particular focus on complex and regulated enterprises. - Create a clear engagement model for OpenAI sellers and technical teams, including when to involve PwC, how opportunities are qualified, who owns each step, and how channel conflict is resolved. - Partner with Product, Engineering, Solutions, Security, Legal, Finance, and Commercial teams to support complex customer engagements and remove technical, contractual, compliance, and operational blockers. - Build PwC capability through executive sponsorship, field enablement, technical readiness, reusable solution patterns, and disciplined delivery handoffs. - Establish governance across executive business reviews, pipeline inspection, forecasting, milestone tracking, performance reporting, and escalation management. - Set and monitor partnership KPIs, including qualified pipeline, conversion, production adoption, customer value, partner readiness, delivery quality, and return on OpenAI investment. - Allocate scarce OpenAI resources toward opportunities with the greatest strategic value, commercial potential, customer impact, delivery readiness, and repeatability. - Represent OpenAI in senior partner, customer, and industry engagements with clarity, sound judgment, and strong executive presence. - Build the operating model and team capacity required to scale the PwC alliance over time. You might thrive in this role if you have: - Significant experience leading strategic alliances, GSI or advisory partnerships, ecosystem sales, business development, or enterprise go-to-market programs in AI, cloud, data, SaaS, or enterprise technology. - Direct experience working with PwC and deep familiarity with its organizational model, incentives, decision-making networks, partner economics, industry and functional practices, and enterprise delivery motions. - A proven record of owning a global, multi-year partnership with measurable pipeline, revenue, adoption, deployment, or customer outcomes. - Experience designing and scaling joint operating models across large, matrixed organizations, including governance, account planning, incentives, staffing, delivery handoffs, and escalation. - Demonstrated success shaping and advancing complex C-suite enterprise transformation opportunities from strategy through production deployment. - Strong executive presence and the ability to build credibility with senior PwC and customer leaders while remaining close to operating details. - Commercial judgment and experience prioritizing investments, qualifying opportunities, managing forecasts, and making clear tradeoffs. - Technical fluency across enterprise AI, cloud environments, data platforms, security, governance, risk, and modern application architectures. - Strong cross-functional leadership and the ability to align Sales, Solutions, Product, Engineering, Security, Legal, Finance, Marketing, and Operations without direct authority. - Experience building partner enablement, joint solutions, industry plays, and scalable field engagement models. - Comfort operating in ambiguity and creating structure, accountability, and momentum in a rapidly evolving market. - Excellent written and verbal communication, negotiation, and executive presentation skills. - A builder mindset, high ownership, low ego, and a consistent focus on customer value and responsible AI adoption. What success looks like: - OpenAI and PwC have a clear global alliance thesis, differentiated joint value proposition, executive governance model, and measurable business plan. - PwC and OpenAI field teams know when and how to engage one another, and qualified opportunities progress through a consistent co-sell and delivery motion. - The partnership produces strategically aligned pipeline and converts priority opportunities into secure, successful production deployments with demonstrable customer value. - Joint solution patterns and industry plays become repeatable rather than remaining bespoke. - OpenAI resources are allocated transparently toward the highest-impact opportunities. - PwC teams demonstrate growing readiness and accountability across selling, architecture, implementation, and customer success. - The alliance earns sustained executive sponsorship and delivers measurable year-over-year 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.
Communications Lead, Cyber
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team includes External Communications, Internal Communications, and other strategic communications functions. This team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role We’re looking for a senior communications leader to shape how OpenAI communicates about cybersecurity. This person will define the global narrative, lead communications for major product, research, and business milestones, and build sustained programs that explain how OpenAI is helping advance cyber defense while managing the risks created by increasingly capable models. The role will connect OpenAI’s work across cybersecurity products and capabilities, responsible deployment, threat intelligence, enterprise security, research, and public policy. You will work closely with Security, Product, Research, Preparedness, Safety, Global Affairs, Go-to-Market, Legal, and Marketing to anticipate opportunities and risks, develop coordinated communications, and build trust with security practitioners, customers, policymakers, and the public. This is both a strategic and hands-on role. The right person will be comfortable defining a long-term communications strategy, building the systems and relationships needed to execute it, and personally leading through major launches, technical disclosures, and fast-moving issues. This role reports to the Head of Communications, Business and is based in San Francisco, CA. We use a hybrid work model of 3 days per week in the office and offer relocation assistance. In this role, you will: - Define and lead communications strategy for OpenAI’s cybersecurity work, from global narrative development through launches, research, threat reporting, and sustained storytelling. - Build a clear, differentiated story about how OpenAI can strengthen cyber defense while developing and deploying advanced capabilities responsibly. - Lead communications for major cybersecurity products, model capabilities, research, partnerships, policy initiatives, and company milestones. - Partner closely with the Product and Research Communications team, along with Security, Product, Research, Preparedness, Safety, Global Affairs, Go-to-Market, Legal, and Marketing, to deliver coordinated communications across earned, owned, executive, and social channels. - Own media engagement and build trusted relationships with leading cybersecurity, technology, national-security, policy, and business press. - Advise senior leadership on positioning, messaging, launch strategy, reputation, and communications for high-visibility or fast-moving security issues. - Translate complex technical, security, product, and policy decisions into clear and credible communications, while establishing messaging systems and operating rhythms that keep teams aligned. You might thrive in this role, if you have: - 12+ years of communications experience, with deep experience in cybersecurity, security technology, threat intelligence, national security, infrastructure, or another highly technical field. - Strong press instincts and relationships, with a track record of shaping narratives and landing meaningful coverage with cybersecurity, technology, policy, or business media. - Enough technical fluency to work credibly with security researchers, engineers, threat analysts, product leaders, and technical journalists. - Experience communicating consequential products, research, threat findings, vulnerabilities, incidents, or policy issues in high-scrutiny environments. - Exceptional judgment about accuracy, transparency, confidentiality, and the risks created by imprecise language. - Skill advising senior executives and technical leaders through high-visibility moments with calm and clarity. - The ability to move fluidly between setting the strategy and executing the details, while aligning diverse stakeholders behind a coherent story. 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 Power Management IP Verification & Validati...
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role The VLSI Power Engineer role at SambaNova Systems requires a Master's or Ph.D. degree along with 7+ years of experience in verification and post-silicon validation for hardware accelerators. The ideal candidate has a solid grasp of computer architecture fundamentals to understand the intricacies of the Reconfigurable Dataflow Unit (RDU) architecture, since this role owns verification of the power management system that is tightly coupled to the RDU across both pre-silicon and post-silicon stages. The engineer will be responsible for delivering a bug-free design in close collaboration with RTL design teams, applying industry-standard verification methodologies such as UVM and SVA. Beyond pre-silicon work, the role extends into silicon bring-up, validation, and testing. Candidates should bring strong proficiency in SystemVerilog, along with working proficiency in C/C++, Python, and shell scripting to build and maintain verification flows and tooling. Responsibilities - Define and plan pre-silicon verification strategy during the early stages of the project - Execute pre-silicon verification of Power IPs, driving toward high functional and code coverage targets - Following chip arrival, lead functional and system-level validation efforts of Power IPs to support low-power, high-performance rack system delivery Required Qualifications - Master's or Ph.D. in Electrical Engineering, Computer Engineering, or Computer Architecture - 7+ years of experience in verification and post-silicon validation for hardware accelerators - Hands-on experience with UVM and SVA in a SystemVerilog verification environment - Hands-on experience with hardware validation, debugging, and testing - Strong cross-functional collaboration and technical communication skills to effectively bridge RTL design and pre-silicon verification/post-silicon validation teams Preferred Qualifications - Domain knowledge of power management, RDU architecture, and computer architecture fundamentals - Experience leveraging modern AI tools and AI-assisted workflows (e.g., for Python/Bash scripting) to automate flows, boost productivity, and streamline simulation post-processing Base Salary Range: Base Pay Range $250,000 - $350,000 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.
Strategic Finance, International & Marketing
About the Role OpenAI’s Applications organization spans rapidly growing Consumer, Enterprise, Developer, and Hardware businesses. As we scale across EMEA, APAC, and LATAM, we’re building the financial and operating model that will help our regional teams make faster, better decisions. We are hiring a senior Strategic Finance partner to help shape that work. You’ll serve as a trusted advisor to regional GMs, connecting market strategy with business performance and guiding where and how we invest. By bringing together insights across growth, revenue, OpEx, headcount, and marketing effectiveness, you’ll help leaders understand market health, set priorities, and drive measurable outcomes. You’ll create the frameworks, operating rhythms, and decision processes needed to scale our international business, while contributing to broader Strategic Finance priorities across Marketing. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected. In this role, you will: - Own an integrated view of OpenAI’s international performance—spanning countries, regions, and Consumer, Enterprise/API, and Developer businesses—to guide growth, resource allocation, and investment decisions. - Partner with regional GMs and functional leaders to shape country strategies spanning Product, Sales, Growth and Brand Marketing, Partnerships, Communications, and Policy. - Lead regional financial planning and forecasting, tracking budgets, headcount, capacity, investments, and risks against the company plan. - Build and operationalize investment frameworks across markets, channels, and programs, evaluating expected returns, opportunity costs, and tradeoffs to recommend what to fund and when. - Create regional and country scorecards and lead regular business reviews that track key metrics, surface risks, drive decisions, and ensure follow-through. - Design decision rights and escalation paths across a cross-functional, matrixed organization so regional leaders can move quickly and major cross-market decisions receive appropriate review. - Partner with Marketing, Growth, and Data Science to strengthen acquisition and retention measurement and translate results into executive-ready recommendations. - Build scalable, AI-enabled workflows that improve reporting, forecasting, and investment evaluation across regions. You might thrive in this role if you have: - 10+ years of progressive experience across Strategic Finance, investment banking, consulting, private equity, or related operating roles. - 2+ years of Strategic Finance experience at a high-growth technology company, including meaningful partnership with international, Marketing, Growth, or GTM teams. - Exceptional financial modeling and analytical skills, with experience managing complex budgets and translating market economics, investment tradeoffs, and performance data into decisions. - A track record of serving as a trusted thought partner to executives and cross-functional leaders. - Fluency across Consumer and B2B business models, international market dynamics, and Growth, Brand, or go-to-market investment. - Experience designing planning processes, operating cadences, scorecards, or investment frameworks that create clear ownership and produce measurable business outcomes. - High agency, sound judgment, and comfort building structure in ambiguous, fast-moving environments. - Enthusiasm for AI and experience partnering with Data Science; SQL familiarity is a plus. 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.
Recruiting Coordinator - Contract
About the Role We’re seeking a Contract Recruiting Coordinator to join our team, focusing on supporting the logistics and coordination of the recruiting efforts for OpenAI. In this role, you will: - Act as point of contact for candidates; coordinating, scheduling, and managing interviews as well as travel and accommodation arrangements when needed. Making sure everyone is in the right place at the right time. - Use Ashby (our ATS) and relevant recruiting tools to stay organized and help keep our busy team on track. - Work with our team to support OpenAI’s recruiting team. This will include supporting multiple functions, cross-training, hosting and scheduling support and completing assigned tasks. - Handle high-volume global scheduling of interviews: phone screens, video conferencing, presentations and onsite interviews. - Communicate updates to candidates regarding their applicant/interview status as needed. - Develop strong candidate and stakeholder relationships (Hiring Managers, Recruiting, etc.) and maintaining effective communication channels. You might thrive in this role if you: - Have 2+ years of experience in a fast paced recruiting coordinator position. - Are passionate about candidate experience: we see our candidates as our guests, and we are their hosts. It is the coordinator's job to ensure a smooth experience. - Are detail-oriented, highly organized, and able to multitask. - An excellent communicator, both written and verbal. With an appropriate blend of professionalism and friendliness. - Are self-directed with a high sense of urgency while maintaining a meticulous attention to detail. - Anticipate possible issues before they arise and effectively problem-solves in advance. This includes independently making quick, educated decisions. - Have ability to maintain a high degree of professionalism and a calm demeanor. - Are willing to take initiative and have the confidence to keep interviews running on time and hold stakeholders accountable in order to maintain a positive candidate experience. Additional details: - This is a temporary contract assignment supporting OpenAI. - The role will be employed and paid through our third-party staffing agency. - This role can be based in one of our offices: San Francisco, CA, New York, NY, or Seattle, WA. Our offices follow a hybrid work model: three days in the office each week, with the option to work from home on Thursdays and Fridays. Our open-plan spaces feature height-adjustable desks, conference rooms, phone booths, well-stocked kitchens with snacks and drinks, and more. 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.
Account Executive (Mid Market)
About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500 . With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures , we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. About the role: Location: Hiring in San Francisco, New York City, Austin and Chicago We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions. This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you. How to be successful in this role: - 4+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred) - Strong track record of sourcing, qualifying, and closing outbound deals - Execution mindset: you excel in fast-paced environments and move with urgency - Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft. - Self-starter and resourceful; you find ways to solve problems and move things forward Compensation & Benefits: - Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, life insurance, lunch & dinner for employees in our SF and NYC offices, and more - Annual salary: $280,000 OTE Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Research Engineer - Web Crawlers
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on large-scale web crawling for our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the crawling systems that source world-class data from the open web. You will thrive in this role if you enjoy: - Building and operating large-scale, distributed web crawlers that discover, fetch, and extract data across billions of pages reliably and efficiently. - Solving hard crawling problems such as content extraction from messy HTML, deduplication at web scale, freshness and recrawl strategies, and politeness and rate-limit handling. - Designing targeted crawling pipelines that find high-value data sources, including audio, video, and multilingual content, and turn them into clean training-ready datasets. - Creating tooling and infrastructure that lets researchers request, monitor, and explore newly crawled web data quickly and reliably. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data. - Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents). - The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Strategic Account Executive, Tech
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: - Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases - Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives - Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns - Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account - Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution - Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities - Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience - Continuously refine the 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: - 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders - Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value - A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives - Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups - A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor - Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders - Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions - A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously - A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems 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 - $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.
Senior Manager, Compute Accounting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Senior Manager, Compute Accounting at Anthropic, you will own the end-to-end accounting for our compute and cloud infrastructure spend, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute cost accounting—from contract review and technical accounting assessment, through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong technical accounting judgment, and the ability to build scalable processes, controls, and accounting policy in a high-growth environment, with a strong appetite for process transformation and automation. You'll partner directly with Engineering, Legal, Procurement, and Finance & Strategy to ensure the accounting implications of our compute contracts are understood before commitments are made, and that costs are captured accurately and in compliance with our agreements. As Anthropic's compute footprint expands rapidly across multiple cloud service providers, you'll play a critical role in establishing the financial controls, accounting policy, and processes that enable us to manage compute spend measured in the tens of billions of dollars with precision and confidence. You'll also serve as a key point of contact with external auditors and mentor accounting professionals across the Compute Accounting team. Responsibilities - Own the complete accounting lifecycle for compute and cloud infrastructure expenses, ensuring accurate and timely recording of all costs through monthly close, reconciliations, accruals, prepaids, journal entries, and flux analysis - Review and interpret cloud service provider and infrastructure contracts to ensure proper accounting treatment, commitment tracking, and compliance with contractual terms - Apply technical accounting expertise to complex compute infrastructure arrangements under ASC 842—including embedded-lease identification, lease vs. service classification, measurement, modifications, and reassessments - Partner with Engineering, Legal, Procurement, and Finance teams during contract negotiation and execution to ensure accounting implications are understood before commitments are made - Scope and formulate accounting policies governing how compute costs are recognized, classified, and amortized across an expanding portfolio of cloud service provider arrangements - Design and implement accrual and prepayment processes that accurately reflect the timing and nature of cloud infrastructure costs, including capacity reservations, savings plans, and committed-use discounts - Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of multi-year purchase obligations - Lead accounts payable and vendor statement reconciliation efforts, working with cloud service providers to resolve discrepancies and ensure billing accuracy - Build scalable processes and controls that can grow with the organization, and develop reporting and monitoring systems to provide visibility into compute spending patterns and trends - Serve as a key point of contact with external auditors on compute cost accounting and commitment disclosure matters - Collaborate with and mentor accounting professionals across the Compute Accounting team, and serve as the subject matter expert on compute accounting matters for cross-functional partners - Lead process transformation and automation initiatives—redesigning close workflows, building automated data pipelines and reporting, and leveraging AI tooling—and manage cross-functional projects from scoping through delivery You may be a good fit if you - Have 10+ years of progressive accounting experience, with significant exposure to accounting for cloud service or compute infrastructure expenses, and review of associated contracts - Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills - Possess working knowledge of ASC 842 as applied to compute, infrastructure, or data center arrangements (embedded leases, lease vs. service classification) - Have experience working with cloud service provider cost structures and understand the unique challenges of accounting for consumption-based services - Can translate complex contractual terms into proper accounting treatment, and communicate the financial statement impact of decisions to non-finance stakeholders in clear, simple terms - Have proven experience building accounting processes, controls, and policy in high-growth environments - Possess strong analytical and problem-solving skills, with the ability to dive deep into large datasets to identify issues and opportunities - Have experience mentoring and developing accounting professionals - Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar) - Excel at cross-functional partnership and thrive in fast-paced environments where priorities can shift quickly - Have a track record of leading process transformation, automation, or finance systems projects from scoping through delivery Strong candidates may also - SQL and BigQuery proficiency, enabling direct data analysis and validation against source systems - Python skills for building automation and analytical tools - Experience at cloud service providers, data center operators, or technology companies with consumption-based or usage-based business models - Background combining Big 4 accounting or advisory experience with industry roles at technology companies - Exposure to infrastructure lease or asset structures, including colocation, GPU clusters, networking equipment, or data center buildouts - Track record of implementing automated reconciliation and reporting solutions - Familiarity with commitment-based purchasing agreements and their accounting implications - Proficiency with AI-assisted tools (including Claude) for enhancing financial analysis, memo drafting, and close automation - Experience supporting rapid growth and scaling initiatives 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: $190,000 - $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.
Legal Specialist, Law Enforcement
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 looking for a hands-on Legal Specialist (Law Enforcement) to join our Litigation, Regulatory & Policy team at Anthropic. In this role, you will be a key player in building out our legal function and running how Anthropic responds to law enforcement and government requests for user data, while navigating the intricate regulatory landscape of the AI industry. We expect this role to flex beyond the law enforcement queue into legal operations to support the broader litigation, regulatory, and policy team. The successful candidate will be a strong team player, able to build positive relationships with colleagues and work collaboratively toward shared goals. Key responsibilities - Own the end-to-end response to law enforcement and government requests for user data, from intake and validation through production and closeout, including subpoenas, court orders, search warrants, preservation letters, and emergency disclosure requests from domestic and foreign authorities - Prepare and execute data productions: scoping, data retrieval, coordination with counsel, and eventual production - Handle foreign and cross-border process, including MLATs and letters rogatory, and manage escalations across jurisdictions - Handle civil third-party subpoenas and preservation demands - Maintain expertise in where user data lives across Anthropic's product surfaces and operate the internal data retrieval tooling - Run and improve the law enforcement response process and tooling - Partner with Trust and Safety, Security, Privacy, and Engineering on requests that touch user accounts, investigations, or safety escalations - Coordinate with outside counsel, alongside in-house counsel, on objections, challenges, and narrowing - Produce recurring reporting on request volume, deadlines, and queue health, and support Anthropic's periodic transparency reporting on government requests - Monitor legal developments in government access to user data and advise the team on their operational impact - Support litigation and regulatory matters and stretch beyond core responsibilities as needed to support the legal team's objectives Minimum qualifications - Experience in a legal operations, business/operations manager, or paralegal role in an in-house legal department, or similar experience - Direct, front-line experience handling law enforcement or government requests for user data, including subpoenas, court orders, warrants, preservation letters, and emergency disclosure requests - Working knowledge of the legal framework for law enforcement access to user data, including the Stored Communications Act and the mechanics of foreign and cross-border requests such as MLATs - Excellent written and verbal communication skills, with the ability to work effectively with colleagues at all levels of the organization - Demonstrated ability to exercise good judgment and maintain the highest standards of discretion and confidentiality when handling sensitive legal matters, including under time pressure - Strong project management skills, including the ability to prioritize tasks, meet deadlines, and manage multiple projects simultaneously - Experience owning an intake, queue, or docketing process end to end, including deciding what gets escalated and maintaining rigorous tracking - Comfort operating and improving the tooling a legal process runs on (trackers, spreadsheets, forms, aliases, and simple automations), with a willingness to make changes directly rather than route every change to someone else - A proactive, solutions-oriented approach to identifying, recommending, and implementing process improvements within the legal department Preferred qualifications - 5+ years of experience in legal operations, business/operations management, or a paralegal role in an in-house legal department - 2+ years of experience at a high-growth technology company, with exposure to the legal challenges and opportunities presented by emerging technologies - Experience building or scaling a law enforcement response process - Experience managing legal intake process within a growing company - Demonstrated ability to think critically and creatively, adapting to new challenges and finding practical solutions to complex legal issues - Familiarity with legal project management software such as Asana, Trello, or Jira, and a willingness to learn and adopt new tools to streamline legal processes 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: $170,000 - $220,000 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.
Research Engineer - Inference
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on deploying and optimizing our frontier AI models in production. The quality of our models only matters if they can be served fast, reliably, and at scale. You will own the systems that turn research breakthroughs into real-time products used by millions. You will thrive in this role if you enjoy: - Deploying state-of-the-art models to production and owning the path from research checkpoint to serving infrastructure. - Optimizing inference performance across the stack, including latency, throughput, and cost, using techniques such as quantization, distillation, KV-cache optimization, batching strategies, and custom kernels. - Building and tuning high-performance serving systems for real-time, streaming workloads where every millisecond matters. - Creating tooling and infrastructure that lets researchers ship new models to production quickly, safely, and with confidence in their performance characteristics. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Experience deploying and serving ML models in production, ideally for latency-sensitive or real-time applications. - Strong engineering skills in GPU programming and inference optimization (e.g., CUDA, Triton, TensorRT, or serving frameworks such as vLLM or SGLang). - The capacity to autonomously profile, diagnose, and eliminate bottlenecks across the serving stack, from model architecture to kernels to orchestration, and to build the tooling to measure it. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Reseller Enablement Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Within GTM, the Partner Enablement team builds the programs, credentials, and learning infrastructure that allow Anthropic's ecosystem of system integrators, cloud providers, resellers, and technology partners to build deep Claude expertise and deliver successful customer outcomes at scale. We work cross-functionally across Partnerships, Sales, Applied AI, Product, Marketing, and Legal to make sure partner-facing programs are clear, consistent, and high-impact. About the role Anthropic is launching a global reseller program, and we are looking for a Reseller Enablement Lead to build the enablement motion that makes it work. You will design and launch reseller certification, training, and readiness programs alongside the program itself, starting in our first launch markets and scaling globally from there. This is a build-and-run role. In the first months you will stand up the foundation from scratch: what a reseller needs to know to sell Claude well, how we certify that they know it, and how we deliver that across markets and languages. From there, you will own the motion as it grows, evolving content and modalities as the program's commercial structure matures, localizing for new regions, and using enablement to keep partner behavior aligned with how we want Claude sold. You will be the single global owner for reseller enablement, scaling delivery through training networks rather than a large direct team. This is a highly cross-functional role working closely with Partnerships, Partner Programs, Partner Operations, Sales, Applied AI, and Certification to ensure reseller-facing programs land clearly and drive measurable outcomes. Responsibilities - Define and own Anthropic's reseller enablement strategy, from launch in initial markets through global rollout - Own delivery of the message you build: present and deliver training directly to reseller sellers and leaders, and activate training partners so they carry it consistently at scale - Build the reseller curriculum and certification path from the ground up, covering commercial mechanics, program rules, platform and product fundamentals, and responsible use - Design repeatable programs across partner onboarding, sales readiness, recertification, and product launches, choosing modalities that fit how reseller sellers actually learn and what motivates them - Stand up localized delivery in launch markets, then extend the model to new regions through training networks and regional enablement teams - Work closely with Applied AI to translate technical concepts into clear, digestible content on Anthropic's models and products for a seller audience - Evolve enablement as the program evolves, keeping content current with changes to commercial structure, transaction rails, and program requirements - Use enablement as a governance lever, building content and reinforcement that keeps partner selling behavior on program and addresses drift when it appears - Enable Anthropic sellers and partner managers to co-sell and engage effectively with resellers - Partner cross-functionally with Partner Programs, Partner Operations, and Sales to align priorities and ensure consistent execution - Establish metrics and reporting to track reseller certification, activation, and contribution to registered pipeline and consumption - Build feedback loops that bring reseller insights back into program design, enablement, and GTM strategy You may be a good fit if you - Have 7-10+ years of experience across partner enablement, partner programs, product marketing, with a clear track record of designing and owning programs end to end. Channel and Alliances experience is key, but must be accompanied with demonstrated program ownership. - Understand how resell and channel ecosystems work commercially, including deal registration, margin and rebate structures, partner tiering, and cloud marketplace motions - Have built and scaled partner enablement or certification programs from nothing to something in a high-growth technology environment - Think operationally and in systems, designing for scale across regions and languages rather than one-off efforts - Understand how to package enablement: which modality fits which audience, what motivates partner sellers, and how to structure a curriculum that produces real selling capability - Are a strong presenter and facilitator, able to deliver training credibly to partner audiences and equip others to deliver it the same way - Combine leadership and hands-on execution, equally comfortable setting strategy with executives and building the first version of a course yourself - Bring executive presence with partner and internal leadership, and the scrappiness to get things done in an ambiguous, fast-moving environment - Are an effective cross-functional operator who can drive alignment across complex organizations Strong candidates may also have - Experience launching programs in a single region and then scaling them globally, including localization and in-market delivery - Experience building or running an authorized training partner or certified instructor network - Prior ownership of, or close partnership with, a technology certification program - Experience with resell motions in Japan, Korea, or other reseller-led markets - A track record connecting enablement activity to pipeline and revenue outcomes Logistics This role is based in London. We operate a hybrid model and expect regular time onsite with partners and at Anthropic offices. Expect roughly 30-35% travel, concentrated around launch windows and launch regions. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £160,000 - £215,000 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.
Enterprise Account Executive - Retail / CPG / Trad...
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, Retail based in Tokyo, you'll drive the adoption of safe, frontier AI technology across Japan's retail, consumer packaged goods (CPG), and general trading companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them optimize operations, strengthen supply chains, personalize customer experiences at scale, and sharpen their competitive position with Anthropic's AI solutions. Responsibilities: - Own and exceed revenue targets by winning new major accounts and expanding existing relationships across Japan's domestic retailers, CPG manufacturers, and general trading companies - Build and execute territory plans, identifying high-value opportunities across supermarket and convenience store groups, specialty retailers, food & beverage and consumer goods manufacturers, and sogo shosha and their group companies - Lead consultative sales processes with senior executives — including CIOs, CDOs, CMOs, and heads of supply chain, merchandising, and DX — positioning AI as a driver for demand forecasting, personalization, inventory optimization, trade and supply chain operations, and enhanced customer experience - Orchestrate internal teams (Product, Engineering, Applied AI, Partnerships) to deliver solutions that integrate with existing retail and enterprise technology stacks while meeting Japan's data privacy requirements under the APPI framework You may be a good fit if you have: - 8+ years of enterprise sales experience in Japan with significant exposure to retail, CPG, and/or trading company accounts, driving adoption of emerging technologies with a consultative, solutions-oriented approach - A track record of managing complex sales processes and securing strategic deals with large-scale retailers, consumer goods manufacturers, and trading companies by understanding the operational and technology challenges unique to Japan's consumer and trading sectors - Demonstrated ability to navigate complex stakeholder ecosystems, building consensus across merchandising, supply chain, digital, marketing, and business division teams with multiple budget authorities and approval layers - Proven experience exceeding revenue targets by effectively managing pipeline across seasonal retail cycles, the rapid decision-making cadence of consumer-facing businesses, and the consensus-driven procurement processes of trading companies - A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality — you are a true team player who thrives in ambiguous, startup-like environments - A strategic, analytical approach to identifying opportunities within Japan's retail, CPG, and trading sectors combined with patient, relationship-focused execution - A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely and responsibly for broad benefit - Excellent communication skills in both Japanese and English What We Offer - Competitive base salary and commission structure commensurate with experience - Equity participation - Comprehensive benefits package - Hybrid work model with flexibility - Access to cutting-edge AI technology and world-class research team 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.
Corporate Finance & Strategy, Cash Flow Forecastin...
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 Our Corporate Finance & Strategy team serves as a strategic partner to Anthropic's leadership, driving data-informed decisions that shape our company's future. We are seeking a professional for our Corporate Finance team to support Anthropic's financial planning and reporting capabilities. In this role, you will build and own Anthropic's balance sheet and cash flow forecast, providing leadership a reliable, driver-based view of free cash flow and liquidity. You’ll own and scale Anthropic's balance sheet and cash flow forecast, taking what exists today and building it into a rigorous, driver-based model. You'll design its architecture and define a robust forecasting methodology and cadence that can scale with the complexity of the business. You'll partner closely with Finance & Strategy, Accounting, and Treasury to turn the forecast into a shared view of cash and liquidity that informs capital and investment decisions. This role offers a unique opportunity to build foundational financial reporting and forecasting processes at Anthropic, using Claude to define what workflows look like when AI is a core part of the toolkit. Key responsibilities - Own the balance sheet and cash flow forecast: design the model architecture, choose the tooling, and develop forecasting methodologies for cash-impacting items including working capital, capex, leases, debt and interest, equity and stock-based compensation, and cash taxes - Partner with Finance & Strategy on the forecast inputs and hand-offs the model depends on, with Accounting to ensure the forecast maps to and reconciles with reported financials, and with Treasury to align the cash flow forecast with their direct cash view - Deliver free cash flow reporting, a driver-based cash bridge, and scenarios and sensitivities on cash and liquidity that inform capital and investment decisions - Integrate the balance sheet and cash flow into the forecast calendar and reporting package, and raise the bar over time by automating actuals loads, tie-outs, and process rigor Minimum qualifications - Have designed and built an integrated three-statement forecast, not just maintained one - Have partnered closely with Accounting and Treasury to align forecasts with the close and cash processes - Are highly proficient in Excel/Google Sheets, with expertise in modern financial planning tools (e.g., Pigment, Anaplan, Adaptive) - Demonstrate excellent communication and storytelling abilities - Thrive in fast-paced, dynamic environments and can navigate ambiguity with confidence - Possess strong collaboration skills and can build effective partnerships across functions and levels - Are passionate about Anthropic's mission to build safe, beneficial AI systems Preferred qualifications - Have 5+ years of experience in FP&A, corporate finance, controllership, or a mix, with hands-on ownership of balance sheet and cash flow forecasting at a company of meaningful scale - A CPA, or a Big 4 audit / technical accounting background before moving into finance - Experience operating within public-company reporting and SOX control environments - Experience with capital-intensive businesses (large compute, infrastructure, or lease portfolios) where financing structures materially drive cash - SQL or scripting skills and a track record of automating actuals loads and tie-outs 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: $240,000 - $325,000 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.
Product Manager, Multi-Cloud Trust & Safety
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 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 A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud. Responsibilities: Model Safety Across Clouds - Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model - Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations - Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces - Drive our transparency commitments to customers and partners on data access, review, and enforcement Fraud & Abuse - Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing - Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives Cross-functional Leadership - Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities - Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft - Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds - Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive - Work with marketing and partner teams on how we position our safeguards externally Minimum requirements: - Have 10+ years of experience. - Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software. - Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations. - Are an excellent written communicator and able to drive clarity out of complexity. - Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike. Preferred requirements - Prior product experience in trust & safety, security, privacy, or compliance. - Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party - Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap. - Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces. - Background in AI safety, content moderation, or abuse-detection systems. - Designed incident-response or escalation processes that span more than one company. 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: $305,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Lead, Cyber Harms
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 Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy. Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities - Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy - Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations - Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases - Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios - Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations. - Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions Minimum qualifications - Experience as a people manager - Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research - Experience performing content review, abuse investigations, or policy enforcement at volume - Proficiency in SQL and/or Python for data analysis and threat detection - Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams - Experience working with generative AI products, including writing effective prompts for content review and enforcement Preferred qualifications - Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company - Experience with large language models and an understanding of how AI technology could be misused for cyber operations - Experience operating within abuse monitoring programs or enforcement review systems - Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space - Experience working with government agencies, regulated environments, or information sharing communities 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: $285,000 - $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Principal Runtime Engineer
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale. SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets. About the role The Runtime team at Sambanova is a seasoned engineering team with a proven track record of delivering cutting-edge system software solutions for AI and machine learning applications in the enterprise & commercial landscape. Runtime is responsible for the lowest levels of the SambaNova stack, efficiently interacting with the hardware to provide the best application performance and maximize hardware utilization. We handle all aspects of software infrastructure to enable higher level applications, including: - High performance user libraries - Operating System interface/integration - Data model manipulation for scaling - Networking/communication intra and inter node - Orchestration of partitioned workloads - Error monitoring and tools for system management and observability We build a high performance, distributed and scalable software execution environment for SambaNova DataScale & Cloud platforms to support data-flow applications such as ML training and inference and HPC applications. We are searching for a software engineer who will work on all parts of the runtime stacks, supporting AI, ML, and scientific applications in high-performance distributed systems. You will participate in building, testing and deploying next-generation high-performance compute systems for AI applications at scale. We expect the candidate to have a strong background in programming, building and testing software in distributed systems, performance tuning of large scale systems, and good teamwork and planning skills. Responsibilities - Work on design and implementation of new and enhanced features of the runtime stack to support high performance and scalable ML inference and training applications - System software (drivers and kernel) support for the next generation silicon. - Design user-space libraries for high performance and high utilization of HW resources. - User-facing tools (analysis, job and HW management, profiling, debugging, etc) for Datascale systems. - Collaborate with other teams including Hardware, ML Application, Compiler, DevOps. Required Qualifications - Bachelor’s in Computer Science, Computer Engineering, or equivalent and with 3-5 years of industry experience - Proficiency in C/C++ and Python - Experience with user space libraries, operating systems, and kernel drivers - Experience working with highly concurrent and distributed systems, with a focus on performance and scalability Preferred Qualifications - Experience with different types of fabrics, such as PCIe, Infiniband, and RoCE - Experience with fast networking stacks, such as RDMA - Good communication skills and enthusiasm to help colleagues 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.
Director, Finance Systems - Revenue Systems Engine...
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 seeking an experienced Revenue Systems Engineering Director to join our Finance Systems team at Anthropic. You will own the technical architecture, implementation, and optimization of our Order-to-Cash (OTC) systems as we scale globally. You'll serve as the technical lead for our revenue systems within the ERP ecosystem, driving automation of revenue recognition processes and integrating our billing, sales, and financial systems. Responsibilities Revenue Platform Architecture & Development - Own the revenue systems architecture and development supporting multi-entity operations and global subsidiaries - Design and implement scalable data pipelines using DBT/SQL frameworks to transform high-volume financial transactions with low-latency response times for real-time integrations - Build and maintain automated revenue recognition workflows ensuring ASC 606 compliance for complex subscription and consumption-based billing models Data Engineering & Pipeline Orchestration - Modify, enhance, and optimize data transformation models using DBT/SQL to support standardized data flows across accounting, billing engineering, and product teams - Establish comprehensive testing frameworks for data transformations, formally documenting successful behavior to support System Integration Testing (SIT) and audit requirements Systems Integration & Technical Leadership - Collaborate with Revenue Accounting, Data Infrastructure, and BizTech teams to design enterprise-grade integration patterns supporting significant transaction volume growth - Implement automated reconciliation engines achieving rapid variance detection and substantially reducing manual revenue team effort - Provide technical expertise during month-end close processes, ensuring system reliability and performance during peak transaction volumes Innovation & Continuous Improvement - Pioneer AI integration for revenue operations, building intelligent agents for discrepancy investigation, automated testing, and self-service analytics - Evaluate and implement emerging technologies to modernize integration architecture - Establish best practices with CI/CD pipelines, automated testing, and deployment workflows maintaining high reliability standards - Mentor team members on technical best practices, code reviews, and documentation standards Minimum qualifications - Possess strong technical proficiency in Python, SQL, DBT, and modern data engineering tools (workflow orchestration, infrastructure as code, cloud data warehouses) - Have extensive experience with enterprise billing platforms and revenue recognition requirements (ASC 606) - Demonstrate expert-level understanding of ERP systems with hands-on configuration and integration experience, including proficiency with API development (REST, SOAP/XML, webhooks) and understanding of ERP extension patterns and custom object development - Experience with additional programming languages (Java, JavaScript/TypeScript, Go) for building integrations, APIs, and custom ERP extensions - Track record of leading technical workstreams during ERP transformations or major system migrations - Are skilled at designing scalable integration architectures, including both real-time APIs and batch processing patterns for high-volume financial transactions - Have proven ability to translate complex business requirements into robust technical solutions while maintaining alignment with accounting principles and audit standards - Understanding of consumption-based pricing models, usage metering platforms, and marketplace billing - Thrive in a fast-paced, high-growth environment where you'll balance innovation with operational stability - Have excellent communication skills to bridge technical and business stakeholders, including Finance, Accounting, Revenue Operations, and Engineering teams Preferred qualifications - Have 12+ years of experience in revenue systems engineering, with deep hands-on expertise in Order-to-Cash (OTC) implementations - Experience implementing revenue platforms at scale for SaaS or subscription-based businesses processing high transaction volumes - Background in financial systems implementations supporting multi-entity, multi-currency operations with complex revenue recognition scenarios - Hands-on experience with CRM/CPQ platforms and integration patterns connecting sales systems to billing and ERP systems - Specific experience with: Salesforce CPQ/Revenue Cloud, Zuora, Stripe Billing,, Workday Financials - Familiarity with Workday Prism and Oracle Accounting Hub solutions for managing third-party transaction data - Technical expertise with iPaaS platforms (MuleSoft, Workato, Boomi) and advanced API patterns (GraphQL, event-driven architectures) - Experience leveraging agentic development workflows - Experience with AI/LLM integration for financial operations, including document processing, data extraction, and intelligent automation - Familiarity with Agile/Scrum methodologies and experience working in matrix organizations coordinating across multiple teams - Knowledge of SOX compliance requirements, financial controls, and audit readiness for revenue systems - Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related technical field - Hands-on experience with modern data stack tools: Airflow, Terraform, BigQuery/Snowflake/Databricks - Build and maintain Airflow DAGs orchestrating complex financial workflows, including Python scripts for DBT execution, authenticated API calls, and data quality validation - Familiarity with financial reporting and business intelligence tools (Hex, Looker, Tableau, Power BI) for revenue analytics and executive dashboards 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: $270,000 - $315,000 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.
Regulatory Counsel, AI Regulation, US
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture. In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams. Key responsibilities - Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design - Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements - Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect - Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs - Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy - Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions - Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation - Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations Minimum qualifications - JD from an accredited law school and active membership in at least one US state bar - Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact - Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity - Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks - Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences Preferred qualifications - 8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks - Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice - Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes - Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls - Familiarity with model evaluation, capability testing, or AI safety concepts - A background that combines private practice and in-house experience - Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent - Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting - Excellence at cross-functional collaboration - Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards - Understanding of how to build constructive long-term relationships with regulators and standards bodies Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $335,000 - $385,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partnership Manager, AI for Science
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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Program Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. This is a foundational role where you'll shape our strategy for deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine deep relationships in sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: - Own and execute Anthropic's AI for Science API credit strategy, managing partnerships with academic labs, small start-ups, and potentially foundations - Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building - Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact - Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities - Manage timelines, resource requirements, and regular reporting associated with the AI for Science program - Work closely with partners to understand their technical and operational needs and translate them into deployment plans - Comfort with early technical prototyping and testing to help learn alongside and unblock partners - Set a research agenda for understanding AI's impact on individual labs across domains - Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem - Represent Anthropic at global scientific convenings and conferences - Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: - 7+ years of experience in life sciences research with ample exposure to the intersection of new technologies as a catalyst for accelerating progress - 3+ years of experience managing external partnerships, grantmaking, or multi-stakeholder initiatives - Deep relationships and credibility in the life sciences domains: you are familiar with the key players at major universities, research institutes, and tools companies - Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams - Analytical mindset with experience using data to inform strategy and measure impact - Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies - An entrepreneurial mindset: you've built programs or organizations from scratch, likely at startups or in founding roles - A genuine drive to maximize impact for underserved communities - High agency and comfort with ambiguity; you thrive when you're building the plane while flying it - Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities - Willingness to travel for occasional partner visits and conferences Strong candidates may also have: - Experience working with philanthropic foundations on science funding - Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product - Background in wet lab research with an ability and aptitude for scientific communications 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: $215,000 - $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.
Applied AI Architect, Startups
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 Applied AI Architect on the Startups team at Anthropic, you will win the trust of founders and engineers by being an exceptional technical partner, helping startups successfully build on the Claude Developer Platform as they grow from early product to scale. You'll combine deep technical expertise with a builder-first mindset to help startups architect innovative LLM solutions, win technical evaluations, and get the most out of Claude. Working closely with Account Executives and the broader Sales, Product, and Engineering teams, you'll guide startups from initial technical discovery through successful deployment and beyond. You'll leverage your expertise to help founders understand Claude's capabilities, develop evals, and design architectures that maximize the value of our AI systems. Responsibilities: - Partner with Account Executives to deeply understand startup requirements, translate them into technical solutions, and serve as a trusted technical advisor throughout the Claude adoption journey from initial evaluation through deployment and expansion - Win technical evaluations that demonstrate why Claude is the best foundation for what startups are building, helping them develop evaluation frameworks to measure Claude's performance for their specific use cases - Build technical credibility with founders, founding engineers, and startup engineering teams by speaking their language, understanding their build patterns, and guiding technical architecture decisions - Gather insights on how startups are building with Claude, identify emerging use cases and deployment patterns, and deliver feedback to Product and Engineering teams - Travel to customer sites, startup-focused events, and industry conferences for workshops, technical deep dives, and relationship building You may be a good fit if you have: - 3+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, Forward Deployed Engineer, or technical founder who has done founder-led sales - Experience working with startups or high-growth technology companies; you understand the velocity and constraints of early-stage companies - Strong builder credibility through experience as a software engineer or technical founder; you speak the language of builders and have the presence to earn the trust of technical founders and startup engineering teams - Deep technical proficiency with building and scaling AI products, a pulse on AI engineering best practices, and the ability to demonstrate why Claude is the best foundation - Hands-on experience building and deploying LLM-powered applications in production, with expertise in context engineering, evaluation frameworks, and modern AI architectures - Strong technical communication skills with the ability to translate complex AI concepts into actionable insights for founders and engineering teams - Track record of selling technical products in competitive markets - Comfortable with Python and familiarity with common LLM frameworks, tools, and integration patterns - Passion for making powerful technology safe and societally beneficial 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: $240,000 - $315,000 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 Policy Design, Societal Harms
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 Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas. The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace. You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces. This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves. *Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature. Key responsibilities - Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity - Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what - Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character - Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership - Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks - Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed - Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement Minimum qualifications - Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field - Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation - A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed - Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available - Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives - Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information Preferred qualifications - Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work - Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system - Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines - Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators - Experience using agentic AI tools to scale a team's analysis and operations 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: $330,000 - $395,000 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 Partner Lead, SAP
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 part of our rapid global expansion we are looking for a Strategic Partner Lead for our SAP partnership in Germany to join our first-on-the-ground Germany Partner GTM team. Our ambitions are high and wide and to bring to market the most advanced AI technology, we are building a best-in-class Go-To-Market team. Builders wanted! In this role you will be instrumental in driving the strategy and execution for our SAP partnership globally. WHAT YOU WILL DO Build strategic partnership plans and executive relationships: - Negotiate or enhance partnership agreements and contracts, ensuring they are mutually beneficial and align with our company's interests. - Develop and execute strategic plans to drive pipeline and co-selling activities with SAP in Europe, APAC and the US. - Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, etc. - Develop and drive Mistral on SAP offerings including Sovereign AI - Expand the partnership within SAP to new product teams, industry sales teams, etc. - Align partner executive stakeholders to key Mistral executive counterparts. Execute SAP plans to drive results: - Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the Global GTM team. - Serve as a point of escalation to help resolve field conflicts using your network of key contacts within both companies as well as your knowledge of each company’s strategic priorities - Lead the development and communication of the partnership performance analysis, including financial performance, agreed metrics, and related insights. - Provide enablement and support to strategic partners to ensure they are effectively promoting and selling our products or services. Company Builder and Collaborator: - Collaborate with cross-functional teams to ensure the successful implementation of partnership initiatives. - Work with Mistral engineering and products team to help advance the customer experience for Mistral’s models and tools on SAP’s platform, including defining new routes to market through the SAP partnership - Develop a strong collaboration with Mistral’s GTM team to help drive pipeline and help advance opportunities to closure. - Align SAP Global and regional sales teams with Mistral’s sales counterparts and facilitate a regular MBR cadence. WHO YOU ARE: - Bachelor's degree in Business, Marketing, Information Technology, or a related field. An MBA or related advanced degree is preferred. - Minimum of 10 years of experience in GTM roles with 5+ years experience in partner management, business development or sales roles. - Deep knowledge and past experience working in the specific SAP ecosystem (organizational structure, relationships, offerings), preferably with the SAP AI teams. - Understanding of Sovereign AI partnerships and offerings - Ideally, a strong network at global level within SAP’s partner organizations. - Knowledge of the SAP partner ecosystem and the sales motion between SAP and it partners - Excellent negotiation, communication, and interpersonal skills. - Strong understanding of the technology or software industry, with a focus on Cloud partnerships. - Ability to travel as needed to meet with strategic partners and attend industry events. - Strong analytical skills, with the ability to monitor and analyze partnership performance and provide actionable insights. - Builder and self-starter with the ability to work independently and as part of a team. WHAT WE OFFER: 💰 Competitive cash salary and equity 🥕 Food : 150€ Monthly meal allowance 🥎 Sport : Monthly contribution to a Gympass subscription 🚴 Transportation : Monthly contribution to your mobility (parking charges or public transport) 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy. 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.
Communications Lead, Enterprise Business
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 Communications Lead, Enterprise on the Communications team, you will shape how Mistral is understood across the global AI landscape — translating our Business milestones, vertical expertise, and scientific advances into narratives that land with customers, partners, media, and the broader market. Business communications is central to how Mistral competes and grows. You will own competitive storytelling against rival positions and share of voice, build vertical narratives for priority sectors such as FSI, manufacturing, and public sector, and support flagship deals and partnerships with organizations like Microsoft and HSBC from first conversation to public announcement. This is a highly cross-functional and visible position. You will partner closely with GTM, Marketing, Solutions, and Science teams, and work directly with our Founders and Executives — ensuring our product and research innovations fuel Business narratives, and that Business needs flow back into how we tell our story. WHAT YOU WILL DO - Craft and distribute Business communications assets — press releases, Q&As, blog posts, op-eds, and social content — across PR, digital, social, and executive platforms. - Build and own Mistral's vertical narratives for priority sectors, and turn them into coordinated global campaigns. - Shape competitive storytelling that positions Mistral against competitor narratives and grows our share of voice. - Support major deals and partnerships end-to-end, producing announcements that show how Mistral tackles the most complex customer challenges. - Prepare and train spokespersons — including Founders and Executives — for interviews, press conferences, media round tables, and global stages such as Davos. - Establish a consistent communications cadence that runs independently of milestone cycles. - Monitor Mistral's reputation, report on results, and turn insights into concrete recommendations. - Scale the function using AI, and stay current on industry trends and communications best practices. WHAT WE'RE LOOKING FOR - Strong track record in B2B Communications, with experience in Tech and ideally global Tech/AI brands. - Deep PR expertise at regional level or above — writing press releases, organizing global press conferences and media round tables, and knowledge of the Tech/AI media landscape. - Exceptional writing across formats and audiences: blog posts, op-eds, executive social content, and engaging messaging. - Ability to craft creative, 360° communications campaigns and to brief and steer external agencies and freelancers. - Skill in positioning spokespersons for high-level opportunities and building thought leadership across channels. - Strategic mindset — able to shape narratives, compete on share of voice, and connect Science and Product to Business storytelling. - Comfort with short iterations and visible, central work; ability to navigate ambiguity and keep moving. - Collaborative instinct with strong ownership and a bias for action, paired with curiosity and a habit of measuring and improving your own results. 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.
Sales Development Representative - New York
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 Cursor, 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. 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 Cursor'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
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