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Operating Systems Engineer, Linux Kernel | Consume...
About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across custom silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the platforms behind them. We connect kernel development with the broader software stack to deliver complete product capabilities. About the Role As an Operating Systems Engineer focused on the Linux kernel, you will design, develop, and maintain the kernel capabilities that underpin OpenAI’s consumer devices. You’ll bring deep expertise in one or more Linux kernel subsystems and carry solutions through the higher-level software stack. Your ownership will extend into the userspace services, libraries, tools, and interfaces needed to deliver complete product features. You’ll shape the boundaries between kernel and userspace, make design decisions across the stack, and see your work through development, integration, and production. In this role, you will: - Build kernel capabilities: Design, implement, and maintain Linux kernel subsystem changes that support device capabilities and product requirements. - Own features across the stack: Choose appropriate kernel and userspace boundaries, and build the interfaces and supporting components needed to deliver reliable features in shipped products. - Debug complex system behavior: Use tracing, profiling, instrumentation, and diagnostic tools to resolve correctness, concurrency, performance, power, and reliability issues in development and production. - Measure and validate improvements: Develop tests and representative workloads to demonstrate repeatable performance, power, and reliability gains and detect regressions across kernel and userspace. - Partner across disciplines: Work with hardware, firmware, platform, and application engineers to turn system requirements into understandable, maintainable solutions. - Contribute sustainable kernel changes: Prepare reviewable patches, incorporate feedback, and contribute fixes and improvements upstream where appropriate. Maintain product-specific changes responsibly as the kernel evolves. Minimum Qualifications - Substantial hands-on experience designing, developing, and debugging one or more Linux kernel subsystems, such as memory management, storage, networking, high-speed peripherals, power management, scheduling, or virtualization. - Proficiency in C for kernel and low-level systems development. - Strong understanding of kernel concurrency, synchronization, memory ownership, and resource lifetimes. - Experience delivering systems capabilities across kernel and userspace, including designing interfaces and diagnosing problems that cross that boundary. - Understanding of Linux kernel development principles and practices: maintainable designs, appropriate abstractions, reviewable patches, compatibility awareness, and careful validation to prevent regressions. You might thrive in this role if you: - Are proficient in Rust for systems programming, with experience developing Linux kernel code in Rust alongside C. - Participate in the Linux community through patches, code review, testing, bug reports, technical discussions, or collaboration with subsystem maintainers. - Take ownership of complete solutions and follow problems across system boundaries. - Make careful tradeoffs among functionality, security, performance, power, and maintainability, and explain your decisions with evidence. - Work constructively through technical review and communicate clearly with teammates across disciplines. 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.
Operating Systems Engineer, Connectivity & Network...
About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. About the Role As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. In this role, you will: - Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. - Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. - Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. - Resolve issues across the stack: Investigate correctness, concurrency, interoperability, and reliability issues across OS components, protocol stacks, and application interfaces. - Improve performance and efficiency: Use tracing, profiling, and repeatable measurements to improve latency, throughput, resource use, and power efficiency. - Validate real-world reliability: Build diagnostic tools, representative workloads, and automated tests to validate interoperability and failure recovery across changing network and operating conditions, measure reliability improvements, and protect gains with regression coverage. - Deliver maintainable product capabilities: Partner with hardware, firmware, security, platform, and application engineers to translate system requirements into shipped capabilities and clear, maintainable interfaces for integration and troubleshooting. Minimum Qualifications - Substantial hands-on experience developing Wi-Fi and Bluetooth functionality in operating-system frameworks, system services, or connectivity middleware. - Strong understanding of IP networking, including IPv4/IPv6, TCP/UDP, DNS, DHCP, routing, and socket behavior, with practical experience implementing and debugging networked systems. - Experience implementing advanced networking capabilities in one or more areas such as routing and network policy, VPNs and tunneling, traffic management, or network isolation. - Experience designing and maintaining platform APIs and the services behind them, including connection lifecycle management and integration with other OS components. - Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management. - Strong understanding of asynchronous systems, interprocess communication, and failure handling. - Experience diagnosing complex connectivity issues using system traces, protocol captures, logs, and structured debugging. - Ability to work across disciplines, make sound technical tradeoffs, and carry solutions from investigation through implementation and validation. You might thrive in this role if you: - Have delivered connectivity capabilities in shipped products and resolved interoperability issues across software stacks and third-party implementations. - Bring depth in transport protocols and performance, including QUIC, congestion control, multi-path networking, or operation across multiple network interfaces. - Have experience with network virtualization, proxies, NAT, firewalls, or policy enforcement within an operating system. - Have improved connectivity performance or power consumption, supported by repeatable measurements and regression coverage. - Understand security and privacy considerations in connectivity services, including authentication, permissions, and credential handling. - Are proficient in Rust for systems programming. - Take ownership of complete solutions and follow problems across framework, service, and underlying stack boundaries. - Use experiments and measurements to challenge assumptions and guide technical decisions. - Work constructively across disciplines and make careful tradeoffs among functionality, security, reliability, performance, power, and maintainability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Executive Director, Asset Team Lead
Your work will change lives. Including your own. The Impact You’ll Make As the Recursion clinical asset pipeline continues to mature through key inflection points, the advancing assets require leaders who can translate scientific complexity into strategic clarity. In the role of Executive Director, Asset Team Lead, you will drive the strategic positioning of assets, ensuring that decisioning is grounded in competitive reality, differentiated by Recursion OS insights, and built to move with urgency for patient benefit. You will play a pivotal role ensuring advanced computational approaches and proprietary Recursion OS/ClinTech advantages are leveraged across the portfolio continuum, redefining traditional paradigms of drug development. Working across functional lines, you will partner with preclinical, clinical and platform teams, promoting communication, alignment and optimization of functional processes to ensure delivery of portfolio goals & transformative medicines for patients. In this role, you will: - Define and drive asset strategy for small molecule clinical programs in oncology and immunology/inflammation — integrating competitive positioning, mechanistic differentiation, biomarker strategy, and patient segmentation to sharpen go/no-go and prioritization decisions across the portfolio - Translate Recursion OS and ClinTech insights into strategic asset advantages, ensuring proprietary data and computational insights are maximally enabling for advancement of the drug discovery and development portfolio - Develop and pressure-test the competitive narrative for each oncology and I&I portfolio asset, building the evidence base that will inform leadership decisions, partnering discussions and investor communications - Partner with functional line leaders across clinical development, BD, finance and platform teams to ensure resource allocation reflects strategic conviction and supports the most impactful programs and workstreams - Propagate the Recursion mindset of radically changing lives by continuously raising the bar on how assets are advanced, differentiated, and delivered to patients with significant unmet need The Team You’ll Join As an Executive Director, Asset Team Lead, you will work across the asset portfolio, operating as a senior strategic partner to leaders in Clinical Development, Discovery, ClinTech, Platform and BD. The Portfolio Team is execution-minded and analytically rigorous — fluent in both science and AI — and responsible for industrializing Recursion's innovative science to advance medicines that matter. We break traditional silos, leveraging AI-powered platforms across data analysis, predictive modeling, RWE integration and patient stratification, all with the goal of optimizing asset positioning for the greatest benefit to patients. The Experience You’ll Need - A PhD in life sciences or related scientific discipline with deep expertise in drug discovery & development required - 10+ years of biotech/pharma experience with a proven track record of asset-level strategic leadership, advancing programs through clinical stage-gates with demonstrable impact on portfolio value - Deep expertise in the development of small molecule therapeutics for oncology and immunology/inflammation required, expertise in rare disease a bonus - Experience leveraging computational approaches and data-driven platforms to sharpen asset strategy and clinical decision-making - Proven ability to build and articulate the strategic and competitive case for clinical assets – integrating mechanistic differentiation, competitive dynamics, regulatory and market considerations. - Strong financial acumen; able to engage credibly on cross-functional resourcing, asset valuation, and portfolio trade-offs - Exceptional executive presence – able to synthesize complexity into clear, conviction-led recommendations and present with confidence to senior leadership and external partners Working Location & Compensation: This is a remote position based in the United States with required periodic travel. In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-EP1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Software Engineer, Plugin Ecosystem
About the Team The Plugin Ecosystem team builds the platform and product experiences that let people extend ChatGPT and Codex. We work on plugins, skills, connectors, interactive apps, and open standards like the Model Context Protocol (MCP). We make plugins easy to discover, install, and use, ensure they’re invoked at the right time, and help people find new ways to get value from them. We want anyone to be able to turn a useful workflow into a plugin, share it, and have other people use it. A plugin can package instructions and skills with connections to the tools and data it needs. Our work spans creation and publishing, reliable execution across our products, clear permissions and approvals, and the controls admins need to bring plugins to their organizations. We work closely with research to improve plugin quality as models evolve. About the Role We’re looking for product-minded engineers to build the systems behind plugins and improve how models use them. Depending on your focus, you may scale generalist infrastructure and identity-related integrations across products, or improve plugin quality at the intersection of backend engineering and applied AI or work on the product experience itself to drive plugin usage. You’ll work across teams and own problems from diagnosis and design through implementation and release. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and ship APIs, SDKs, and services that developers use to extend ChatGPT and Codex. - Build intuitive experiences that help users discover, install, and use plugins to get more done. - Make plugins easier to create, test, publish, update, and share. - Improve when and how models use plugins, from choosing the right plugin to completing a task. Work with Research to diagnose failures and measure improvements as models evolve. - Improve plugin reliability and interaction quality across ChatGPT and Codex, including interactive apps, with clear error messages and recovery paths. - Build consistent permissions, approvals, and admin controls that help individuals and organizations confidently adopt plugins. - Work with developers and partners to turn recurring problems into improvements to the platform, tooling, and documentation. - Collaborate across engineering, Product, Research, Security, and Trust & Safety to scale plugin infrastructure and deliver safe, reliable execution. You might thrive int his role if you: - Care about product quality and can make complex capabilities feel intuitive, from discovering a useful plugin to completing a task with it. - Have strong opinions about APIs and abstractions, and can explain the tradeoffs behind your decisions. Experience with identity, permissions, or integration-heavy systems is especially valuable. - Enjoy talking with users and developers, understanding what they’re trying to accomplish, and turning recurring problems into product and platform improvements. - Can move between product questions and technical details, collaborate across teams, and take an ambiguous problem through to production. - Are comfortable working across web interfaces and backend systems. Experience building applied AI systems, diagnosing model–tool interactions, and measuring reliability and quality is especially valuable. - Have built products people rely on or software that other developers use, such as an API or SDK, an open-source project, a developer platform, or internal tools with real users. 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.
Product Manager, Enterprise Identity
About the Team: About the Team: Our team brings OpenAI’s most capable technology to the world through our products. We've released ChatGPT, GPT6-Astra, and Codex. We empower consumers and developers alike to use and access our state-of-the-art AI models, allowing them to do things that they’ve never been able to before. Across OpenAI’s enterprise product suite, it is critical to offer organizations the technology to securely establish, connect, and manage people and non-human identities across OpenAI products. The Enterprise Identity team builds shared identity foundations and enterprise controls for authentication and federation, provisioning and lifecycle, secure access, session management and revocation, administration, auditability, and access visibility so identity and access can be governed consistently across products. We build the foundational systems that enable organizations to adopt OpenAI products with confidence.. Our work underpins enterprise security, IT integration, and the safe deployment of AI at scale, making sure the right people have the right access at the right time. About the Role: We’re looking for an experienced Product Manager for OpenAI’s Enterprise Identity product efforts. You will lead efforts to deliver critical capabilities such as SSO, SCIM, and identity federation across all OpenAI products, enabling enterprises to securely manage users, data, and access in complex organizational environments. This role requires close collaboration with engineering, security, GTM, and customer-facing teams to ensure our identity systems meet the needs of organizations ranging from high-growth startups to the world’s largest enterprises. Your work will directly enable safe, large-scale enterprise adoption of frontier AI. This position is based in San Francisco, CA, with relocation assistance available. In this role, you will: - Define the strategy and execute the roadmap for enterprise identity, spanning SSO, SCIM, and advanced admin controls. - Partner with customers and internal teams to design features that meet diverse enterprise security and compliance needs. - Collaborate with engineering and GTM to evolve the enterprise identity data model for complex organizational hierarchies and administration models. - Lead cross-functional efforts to integrate enterprise identity across ChatGPT, API, and new product surfaces. - Establish and track KPIs to measure product success, adoption, and reliability. You might thrive in this role if you: - Have 10+ years of product management experience leading large-scale enterprise products. - Have strong product judgment and can simplify complex problems. - Work effectively with technical teams and ship high-quality products. - Are analytical, user-focused, and an excellent cross-functional communicator. - Care deeply about using AI to improve how businesses operate. 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.
Vice President, Medical Affairs
Your work will change lives. Including your own. The Impact You’ll Make At Recursion, we are decoding biology to radically improve lives. As Vice President, Medical Affairs, you will help shape how Recursion translates breakthrough science, clinical data, real-world evidence, and AI-enabled insights into meaningful impact for patients, clinicians, investigators, and health systems. You will build and lead the Medical Affairs strategy across Recursion’s advancing clinical portfolio, with an initial focus on programs in areas of significant unmet need, including oncology, rare disease, immunology, and other priority therapeutic areas. This is a high-impact, cross-functional leadership role for a strategic medical affairs leader who can operate from early development through launch readiness, bring the external medical voice into portfolio decisions, and establish scalable capabilities for scientific engagement, evidence generation, medical communications, and medical excellence. In this role, you will: - Develop and lead integrated Medical Affairs strategies for priority assets, including scientific narrative, evidence gaps, stakeholder engagement, publication strategy, medical education, advisory boards, field medical planning, and launch readiness. - Provide Medical Affairs support on cross-functional asset teams, partnering with Clinical Development, Regulatory Affairs, Development Sciences, HEOR/RWE, Biostatistics, Clinical Operations, Portfolio Strategy, Patient Advocacy, Communications, Legal/Compliance, and Business Development, where appropriate. - Build evidence-generation plans that support asset differentiation, patient benefit, clinical adoption, and value demonstration, including real-world evidence, HEOR, epidemiology, natural history, burden of disease, treatment patterns, and outcomes-focused studies. - Translate external insights from healthcare professionals, investigators, patient communities, payers, health systems, and scientific leaders into actionable recommendations for development strategy, trial design, endpoints, education needs, and evidence priorities. - Lead scientific engagement strategy with key opinion leaders, digital opinion leaders, investigators, cooperative groups, patient advocacy organizations, professional societies, and other external stakeholders through compliant, high-quality scientific exchange. - Lead congress and conference strategy for priority programs, including planning and execution for major scientific meetings such as ASCO, ESMO, AACR, AAN, and other relevant medical congresses; partner cross-functionally on abstracts, presentations, scientific narratives, medical booths, KOL engagement, and internal preparation. - Partner with Recursion’s data science, platform, and Decision Science teams to explore responsible use of AI-enabled approaches for medical insights, evidence synthesis, stakeholder mapping, scientific communication, and measurement of medical impact. - Establish the medical communication strategy for assigned assets, including publications, congress abstracts and presentations, lexicon, scientific platform, FAQs, medical information content, and internal scientific training. - As the portfolio matures, design and build a structured, scalable Medical Affairs organization, including fit-for-purpose capabilities across medical strategy, field medical, medical communications, medical information, evidence generation, congress planning, insights, and medical excellence. - Establish governance, operating rhythms, vendor partnerships, performance metrics, and compliant processes that enable Medical Affairs to support Recursion’s growth from clinical-stage development through potential launch readiness. The Team You’ll Join You will join Recursion’s Clinical Development organization, reporting to the Chief Medical Officer. The Clinical Development team is an empowered, execution-minded group responsible for translating Recursion’s innovative science into medicines for patients. You will work closely with leaders across Development, Regulatory, Development Sciences, Clinical Operations, Data Science, Biology, Chemistry, Portfolio Strategy, Communications, Legal/Compliance, and future commercialization functions. Together, you will help ensure Recursion’s clinical programs are informed by robust evidence, external medical insight, patient need, and the full potential of the RecursionOS. The Experience You’ll Need - Advanced clinical or scientific degree required; MD, DO, PharmD, PhD, or equivalent advanced degree strongly preferred - 15+ years of biotech or pharmaceutical industry experience, including significant leadership experience in Medical Affairs - Experience building and leading Medical Affairs strategy for clinical-stage or launch-stage assets, ideally in oncology, rare disease, immunology, or other specialty therapeutic areas. - Proven ability to lead integrated evidence planning, including RWE, HEOR, epidemiology, burden-of-disease, natural history, treatment-pattern, outcomes, and value-focused studies - Strong understanding of drug development from early clinical development through launch readiness and lifecycle planning, including how Medical Affairs contributes to trial design, endpoint strategy, external engagement, publications, and evidence generation. - Demonstrated success in engaging KOLs, investigators, patient advocacy organizations, professional societies, payers/HTA stakeholders, and other external experts through compliant scientific exchange. - Experience developing scientific platforms, publication plans, congress strategies, advisory boards, medical education initiatives, and medical information resources. - Strong working knowledge of relevant compliance expectations, including scientific exchange, medical review, publication practices, advisory board governance, and interactions with healthcare professionals across the US & globally Working Location & Compensation: This is a fully remote opportunity with occasional travel requirements. Travel may be necessary from time to time to support collaboration, team events, customer meetings, or other business needs. At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $358,930–$449,240 - Salt Lake City & all other U.S. locations: $326,300–$408,400 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-DB1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Research Program Manager, Frontier Assurance
About the Team The Frontier Assurance team brings independent scrutiny into OpenAI’s safety decisions and helps the public understand and assess our safety work. We lead third-party assessments and safeguard testing for OpenAI’s flagship launches, pilot new assurance mechanisms such as embedded auditing, run our misalignment disclosure process, and incorporate independent expert input as evidence for critical safety decisions. About the Role As a Research Program Manager on the Frontier Assurance team, you will build programs that bring independent expertise into frontier AI safety decisions and make the evidence behind those decisions understandable to the public. You will lead external research partnerships and third-party assessments, coordinate public safety documentation, and develop new approaches to independent scrutiny and transparency. Working across research, engineering, product, policy, and communications, you will help ensure external findings inform concrete decisions and that our public explanations accurately reflect the evidence, limitations, and remaining uncertainty. We’re looking for people with deep experience in research partnerships and program management with technical and research teams. This role combines partnership management, cross-functional coordination, an understanding of AI safety research, alignment, and evaluations, and strong communication skills. You will work with researchers and engineers within OpenAI and across the external community to initiate projects, set ambitious goals and milestones, and drive execution across multiple teams. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Design and run third-party assessment programs for frontier models and safeguards, including independent evaluations, adversarial testing, and new approaches such as embedded auditing. Work with researchers and external partners to define assessment questions, scope, access, timelines, and deliverables. - Build and manage strategic research partnerships with third-party evaluators, academic labs, and other independent experts, prioritizing expertise, independence, and diversity of perspectives. Enable rigorous research, including work that challenges internal assumptions. - Bring external findings to safety decision-makers and translate them into actionable recommendations for safeguards, deployment, product, and policy. Track follow-up actions and ensure partners understand how their input was considered. - Partner with research, product, policy, and communications teams to explain the evidence behind OpenAI’s safety approach: what we tested, what we learned, how findings shaped safeguards and deployment decisions, and where limitations and uncertainty remain. Translate complex technical results into accurate, accessible communication for expert and public audiences. - Lead public transparency programs, including system cards, summaries of third-party assessments, and updates on significant findings and follow-up actions. Develop approaches to sharing methods, results, and limitations while protecting privacy, security, and sensitive information. - Create channels for researchers and civil society to ask questions, provide feedback, and inform future assessments and transparency efforts, including beyond individual launches. - Own program goals, milestones, dependencies, and risks across assessment and transparency work, keeping internal and external stakeholders informed and resolving obstacles to execution. You might thrive in this role if you: - Have an understanding of AI evaluations and measurement, and can engage with technical teams on evaluation design and results. - Can interpret evaluation findings and communicate what they do and do not establish, including methodological limitations, uncertainty, and disagreement. - Have experience building research partnerships and managing external stakeholders, especially academic researchers and independent experts. - Can synthesize technical and social science research into clear executive summaries and accessible explanations for public audiences. - Have experience delivering technical publications or public reports across multiple contributors, and exercising judgment about what to share, with whom, and when. - Have worked cross-functionally across product, research, and engineering teams and can coordinate complex programs with policy and communications partners. - Have an understanding of and interest in frontier AI safety and policy. 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.
Documentation Engineer
ABOUT US: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable https://modal.com/blog/lovable-case-study, Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C https://modal.com/blog/modal-series-c at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal considers high-quality documentation to be essential for developer experience, and we see docs becoming even more important as agents increasingly deploy and operate Modal Apps. We are looking for a content-minded engineer who will partner with our product teams to curate Modal’s technical documentation and maintain a high quality bar across multiple dimensions. RESPONSIBILITIES: - Thinking holistically about content architecture and how the docs should evolve as Modal introduces new products and features - Innovating on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team - Developing content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality - Building and maintaining automated pipelines that will enforce the correctness of code examples and prose descriptions - Collaborating with engineers across the company to author documentation that is clear, consistent, and correct REQUIREMENTS: - 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space - Experience authoring and/or editing high-quality technical content for developers - Knowledge of agentic engineering workflows and best practices - Comfort with modern software development practices (version control, CI/CD, testing)
Public Sector Sales Lead
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As Anthropic's Public Sector Sales Lead for France, you will be the face of Anthropic to the French State. This is a founding, zero-to-one role: there is no public sector team in France today, and you will build our strategy, our routes to market and our first strategic relationships from the ground up. Reporting to our EMEA South leadership, you will lead the adoption of safe, frontier AI across central government, starting with the largest ministries. You will work hand in hand with our Public Policy lead in Paris, because in few companies is policy as central to the mission as it is at Anthropic, and with Partnerships, Legal, Security and Product to put in place the commercial and compliance frameworks the State needs in order to work with us at scale. This is a senior individual contributor role. We expect you to have run a public sector business and led teams, and to be energised by stepping back into a hands-on seat where you build it yourself and where the size of your team says nothing about the size of your scope. In the first year, success is measured less by a large number and more by putting Anthropic on the map with the French State: a clear strategy, the right foundations and our first strategic agreements. Responsibilities - Define and own Anthropic's public sector go-to-market strategy for France: where we play first, how we win, and what we need to build to get there - Be the senior face of Anthropic to the French State, building trusted relationships with ministerial cabinets, senior officials and digital and technology leaders across the largest ministries, including defence, finance and justice - Own the full sales cycle on our first strategic public sector opportunities, from first engagement through procurement route, close, deployment and expansion - Work with Partnerships, Legal and Finance to put in place the routes to market the State needs, including resale and partner channels, framework agreements and central purchasing bodies such as UGAP - Partner day to day with our Public Policy lead in France so that commercial and policy engagement reinforce each other, and stay aligned with French and European AI strategy and regulation - Lead the conversation with customers on data sovereignty, security and compliance (for example SecNumCloud and the State's cloud doctrine), and work with Security, Legal and Product on how we meet those requirements - Prove value with customers alongside a shared Applied AI architect, cloud providers and systems integrators, doing much of the groundwork yourself in the early stages - Learn from and contribute to our UK and US public sector teams, bringing what works to France and sharing what you learn - Create the playbooks, references and operating rhythm that will let us scale a public sector team in France over time You may be a good fit if you have - 15+ years in enterprise technology sales, including significant time running a public sector business unit or leading sales teams that sell to French central government - The appetite to move from a leadership role into a hands-on senior individual contributor role with no team at the outset - Evidence that you thrive building from zero: a new market, a new business line or an early-stage company, where systems, processes and support were not yet in place - A track record of landing large, complex and genuinely transformative agreements with major ministries, as the person leading the deal - A deep, senior network across central government, and the credibility to engage at director and cabinet level as well as with technical teams - Practical command of French public procurement, including tenders, framework agreements, central purchasing bodies and partner or resale routes - Real expertise in data sovereignty, security and compliance requirements in the French State, and experience leading those conversations with customers - Experience of, or a clear aptitude for, working closely with public policy or government affairs colleagues - Ownership and resilience: you treat what is missing as something to build, and you bring colleagues with you to build it - The technical curiosity to learn our products in depth and hold credible conversations with both engineering leaders and senior officials - Fluent French and English, with excellent written and spoken communication in both - Willingness to go through French security clearance (habilitation) should specific accounts require it - A genuine commitment to safe and beneficial AI, and the ability to articulate why it matters for public institutions À propos du poste En tant que Responsable des ventes secteur public d'Anthropic pour la France, vous incarnerez Anthropic auprès de l'État français. Il s'agit d'un poste fondateur, à construire de zéro : il n'existe aujourd'hui aucune équipe secteur public en France, et vous bâtirez notre stratégie, nos voies d'accès au marché et nos premières relations stratégiques en partant d'une page blanche. Ce poste est rattaché à la direction EMEA Sud. Vous piloterez l'adoption d'une IA de pointe et sûre au sein de l'administration centrale, en commençant par les plus grands ministères. Vous travaillerez main dans la main avec notre responsable des affaires publiques à Paris — dans peu d'entreprises les politiques publiques sont aussi centrales à la mission que chez Anthropic — ainsi qu'avec les équipes Partenariats, Juridique, Sécurité et Produit, afin de mettre en place les cadres commerciaux et de conformité dont l'État a besoin pour travailler avec nous à grande échelle. Il s'agit d'un poste senior de contribution individuelle. Nous attendons de vous que vous ayez dirigé une activité secteur public et encadré des équipes, et que la perspective de revenir à un poste pleinement opérationnel vous enthousiasme : un poste où vous construisez vous-même, et où la taille de votre équipe ne dit rien de l'étendue de votre périmètre. La première année, la réussite se mesurera moins à un grand chiffre qu'à votre capacité à installer Anthropic auprès de l'État français : une stratégie claire, les bonnes fondations et nos premiers accords stratégiques. Responsabilités - Définir et porter la stratégie de mise sur le marché d'Anthropic pour le secteur public en France : nos premiers terrains d'action, nos leviers de succès et ce qu'il nous faut construire pour y parvenir - Incarner Anthropic au plus haut niveau auprès de l'État français, en nouant des relations de confiance avec les cabinets ministériels, les cadres dirigeants de l'administration et les responsables du numérique et de la technologie des plus grands ministères, dont la défense, les finances et la justice - Piloter l'intégralité du cycle de vente sur nos premières opportunités stratégiques dans le secteur public, du premier contact au choix de la voie de passation, jusqu'à la signature, au déploiement et à l'extension - Travailler avec les équipes Partenariats, Juridique et Finance pour mettre en place les voies d'accès au marché dont l'État a besoin : canaux de revente et de partenariat, accords-cadres et centrales d'achat telles que l'UGAP - Collaborer au quotidien avec notre responsable des affaires publiques en France, pour que les démarches commerciales et politiques se renforcent mutuellement, en cohérence avec la stratégie et la réglementation française et européenne en matière d'IA - Mener les échanges clients sur la souveraineté des données, la sécurité et la conformité (par exemple SecNumCloud et la doctrine « cloud au centre »), et travailler avec les équipes Sécurité, Juridique et Produit sur la façon dont nous répondons à ces exigences - Démontrer la valeur auprès des clients en vous appuyant sur une expertise d'architecture Applied AI mutualisée, sur les fournisseurs cloud et sur les intégrateurs, en réalisant vous-même une grande part du travail de terrain dans les premiers temps - Apprendre de nos équipes secteur public au Royaume-Uni et aux États-Unis et contribuer à leur travail, en important en France ce qui fonctionne et en partageant vos enseignements - Créer les playbooks, les références clients et le rythme opérationnel qui nous permettront de faire grandir une équipe secteur public en France Ce poste peut vous correspondre si vous réunissez - Plus de 15 ans dans la vente de technologies aux grandes organisations, dont une période significative à la tête d'une activité secteur public ou à l'encadrement d'équipes commerciales à destination de l'administration centrale française - L'envie de passer d'un poste d'encadrement à un poste senior pleinement opérationnel, en contribution individuelle et sans équipe au départ - Un parcours qui montre que vous vous épanouissez en construisant à partir de zéro : un nouveau marché, une nouvelle ligne d'activité ou une entreprise à ses débuts, là où les systèmes, les processus et les soutiens n'existaient pas encore - Des accords majeurs, complexes et réellement transformateurs conclus avec de grands ministères à votre actif, en étant la personne à la tête de la négociation - Un réseau dense et de haut niveau au sein de l'administration centrale, et la crédibilité nécessaire pour échanger au niveau des directions et des cabinets comme avec les équipes techniques - Une maîtrise concrète de la commande publique française : appels d'offres, accords-cadres, centrales d'achat et voies de partenariat ou de revente - Une véritable expertise des exigences de souveraineté des données, de sécurité et de conformité au sein de l'État français, et l'expérience de ces échanges avec les clients - L'expérience — ou une aptitude manifeste — du travail en étroite collaboration avec les équipes affaires publiques ou relations institutionnelles - Le sens de la responsabilité et la ténacité : ce qui manque est pour vous quelque chose à construire, et vous embarquez vos collègues dans cette construction - La curiosité technique nécessaire pour apprendre nos produits en profondeur et tenir des échanges crédibles aussi bien avec les responsables d'ingénierie qu'avec les responsables publics de haut niveau - Un français et un anglais courants, avec une excellente expression écrite et orale dans les deux langues - La disponibilité pour engager une procédure d'habilitation de sécurité si certains comptes l'exigent - Un engagement sincère en faveur d'une IA sûre et bénéfique, et la capacité d'expliquer pourquoi cela compte pour les institutions publiques 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: €310.000 - €380.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Litigation Counsel
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Legal team is looking for an experienced litigator to join our Litigation and Regulatory team. You'll manage a broad docket of litigation files and pre-litigation disputes with a high degree of autonomy, advise the business on litigation risk, and help build the systems and processes that let a growing litigation function operate well at scale. The matters you'll handle span intellectual property (particularly copyright), class actions, commercial disputes, and could include securities and shareholder disputes, in both first-party and third-party matters, in the U.S. and abroad. You'll partner closely with colleagues across Legal and teams throughout the company to resolve matters thoughtfully and with minimal disruption to the business. You may also support regulatory investigations and inquiries as needed. Key responsibilities - Manage a broad range of litigation matters that could include intellectual property (particularly copyright) matters, class actions, regulatory and commercial disputes, and securities cases - Direct outside counsel across all stages of litigation, from pre-suit response through discovery, dispositive briefing, trial or resolution and appeal, with a focus on strategic decision-making and filing excellent legal briefs - Manage small disputes and escalations to limit business friction and minimize risk - Advise company leadership and cross-functional partners on litigation risk, and develop appropriate strategic litigation plans, including matter-resolution proposals - Design and implement processes, policies, and tools that help the litigation and regulatory team handle matters efficiently and at scale, such as matter intake, outside counsel budgeting, contingency reporting, and pre-litigation escalation run books - Work cross-functionally to gather information efficiently and evaluate risk - Support responses to regulatory investigations and inquiries as needed - Stay up to date on relevant laws, litigation trends, and AI-related case law, and share developments with key stakeholders - Mentor and develop team members through hands-on work on active matters Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar (California preferred) - Have litigated some combination of copyright, class action, securities, and regulatory matters - Have broad experience handling complex civil litigation, with deep knowledge of litigation practice and procedure, discovery, and federal and/or CA state court rules - Have managed litigation matters with significant independence, including setting case strategy, managing discovery, writing and improving legal briefs, and directing outside counsel - Write and communicate clearly, with the ability to explain litigation risk and strategy, particularly for non-legal audiences at all levels of seniority - Exhibit poise and judgment under pressure while balancing legal risk with business priorities Preferred qualifications - At least 12 years of litigation experience with a combination of experience at a global-focused law firm and in-house - Experience representing technology companies, particularly companies working in emerging technologies - Experience building systems, processes, or tools for an in-house legal team, such as matter management, outside counsel budgeting, or litigation reporting - Experience managing regulatory responses or investigations, including both first-party and third-party responses - Creativity and openness to novel solutions when advancing business priorities while addressing legal risk - Ability to think and work quickly, have a flexible risk tolerance, and a good sense of humor - Low ego and a real willingness to roll up your sleeves to solve problems whether mundane or complex - A thoughtful and empathetic colleague who works well with legal colleagues, outside counsel, and business partners - A genuine interest in the development of AI that is both innovative and trustworthy, including the opportunities it creates and the risks and limitations that must be addressed Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco 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: $385,000 - $460,000 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 Product Policy Lead, Regulation
About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or Remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. - Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions clear. - Advise Product, Engineering, Research, and Safety teams throughout design, launch, and iteration. Partner with Legal on legal interpretation and applicability, and with Global Affairs on legislative context and external engagement, to develop feasible implementation options and clear ownership. - Maintain traceability from external signals to internal decisions, requirements, and implementation. Track material changes, surface dependencies and emerging risks, and use research, product evidence, and expert input to refine recommendations and inform external policy discussions. You might thrive in this role if you: - Bring substantial experience in AI or technology regulation, public policy, product policy, or a related field, including interpreting complex regulatory and legislative developments across jurisdictions and translating them into action. - Understand AI deeply, including model capabilities and limitations, training and deployment, evaluations, and safety mitigations. You can reason about how requirements differ at the model, product, and deployment levels and identify where further research is needed. - Have a strong record of product advising and close partnership with product managers, engineers, and researchers. You can turn ambiguous concerns into specifications, implementation options, acceptance criteria, and decisions that improve products. - Exercise sound judgment under uncertainty, prioritize across a broad portfolio, and manage work from an emerging external signal through implementation and iteration. - Communicate clearly and precisely with technical teams, legal and policy experts, and executives. You can explain regulatory complexity, distinguish evidence from assumptions, and resolve disagreement constructively. - Bring breadth across AI policy issues—including frontier risks, youth, wellbeing, high-stakes uses, and deceptive use—and the ability to build depth quickly with subject-matter experts, research, data, and user insights. 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 Director, Large Enterprise
About the team OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made up of Sales, Solutions, Support, Marketing, and Partnership professionals who work together to bring AI to as many users as possible. About the role Our Sales team helps customers understand how highly capable AI can transform their businesses. As an Account Director, Large Enterprise, you’ll work with some of our largest accounts across a variety of industries, winning new business and expanding adoption within existing customers. This role combines technical understanding, executive engagement, and ownership of complex enterprise sales. You’ll create demand, develop opportunities, and lead deals from initial engagement through negotiation, deployment, and expansion. You’ll help executives move from curiosity about AI to a clear understanding of how it can change the way their businesses operate—and build a practical path to realizing that value. We’re looking for someone with a hunter mentality who takes initiative and creates momentum. You’re comfortable opening doors, building relationships across business units, and bringing commercial and technical stakeholders together around an enterprise transformation strategy. Success means both winning business and helping customers turn their commitments into sustained adoption and consumption. This role can be based in our San Francisco, New York City or Seattle offices. We are also considering applications to work remotely from within the U.S. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you’ll: - Own a portfolio of large enterprise accounts across industries, developing account strategies that drive new business, enterprise adoption, and expansion. - Create demand through proactive prospecting, executive outreach, and a deep understanding of each customer’s business priorities. - Own complex deals end to end, including opportunity development, qualification, business case creation, technical evaluation, negotiation, and close. - Help senior executives understand AI’s potential to transform their business, identify priorities, and build alignment around a roadmap for investment and deployment. - Build relationships across business units and functions, connecting executive sponsors, business leaders, technical teams, and procurement to advance shared goals. - Partner with solutions engineering to translate complex technical capabilities into customer programs with measurable business outcomes. - Win initial deployments and expand successful use cases across teams, business units, and geographies. - Own a consumption revenue target, partnering across the customer lifecycle to turn signed agreements into production usage and sustained growth. - Maintain rigorous account plans, opportunity management, and revenue forecasts, taking responsibility for moving opportunities forward and resolving obstacles. - Bring customer and market insights to product, engineering, and GTM teams to inform our roadmap and approach to enterprise customers. - Help build the processes, practices, and culture of a growing, high-ownership sales organization. We’re seeking someone with experience including: - 14+ years selling complex platform-as-a-service and/or software-as-a-service products to large enterprise customers. - Demonstrated success winning new customers and expanding existing accounts. - Generating pipeline and creating demand through proactive account development, including opportunities where the customer has not yet defined a project or allocated budget. - Designing and executing complex deal strategies with multiple decision-makers, technical requirements, and procurement processes. - Selling across business units and functions, building support beyond a single buyer, team, or use case. - Working directly with C-level executives to connect technology investments to business strategy, operational change, and measurable value. - Selling technically complex products in close partnership with engineering and solutions teams. - Leading enterprise transformation opportunities from early discovery through deployment, adoption, and expansion. - Managing consumption-based revenue models, including forecasting usage, driving adoption, and identifying opportunities for growth. - Succeeding in fast-growing environments that require independent judgment, initiative, and accountability. You might thrive in this role if you: - Have a hunter mentality. You seek out opportunities, open doors, and build demand. You’re motivated by winning new customers and uncovering new opportunities within established accounts. - Take ownership. You drive progress at every stage of a deal. You set clear next steps, bring the right people together, and stay accountable when decisions are difficult or the path forward is unclear. - Can guide an executive journey. You meet leaders where they are, challenge their thinking thoughtfully, and help them develop a concrete vision for how AI can transform their business. - Are customer-centric and commercially driven. You connect customer outcomes to durable growth. You pursue opportunities where our technology can deliver meaningful value and stay engaged as customers move from purchase to adoption. - Are technically curious. You enjoy understanding complex products and can explain their capabilities, limitations, and business implications to both technical and nontechnical audiences. - Think across the enterprise. You see connections between business units, build relationships across functions, and turn an initial use case into a broader strategy for adoption. - Are a builder. You thrive in a high-ownership environment, make sound decisions with incomplete information, and help establish the practices that allow a growing team to succeed. - Have a passion or deep curiosity for artificial intelligence. You’re excited to help customers deploy AI thoughtfully and realize its potential to benefit their businesses and users. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Senior Manager, IT SOX
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 Senior Manager, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments. This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization. You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards. Key responsibilities - Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models - Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls - Assess new system implementations and changes - Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities - Assist in scoping and planning for annual SOX IT assessments - Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations - Perform system and process risk assessments to identify control gaps and recommend remediation - Own control documentation and ensure audit-ready evidence is current and complete - Evaluate IT automated controls and support the shift from manual to automated control reliance - Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities - Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program - Build strong working relationships with process and control owners across the organization - Translate technical control requirements for non-technical stakeholders and vice versa - Support SEC cybersecurity disclosure requirements and related risk monitoring efforts - Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules - Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders Minimum qualifications - Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment - Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies - Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them - Experience designing, testing, and documenting controls across access management, change management, and computer operations - Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment - Ability to effectively guide and direct the work of internal team members and/or co-sourced partners - Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders - Strong project management and organizational skills with close attention to detail - Clear, effective communicator — able to work across technical and non-technical audiences Preferred qualifications - 8+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment - Hands-on experience with cloud environments (GCP, AWS, and/or Azure) - Experience scaling a compliance program to public-company standards - Track record of scaling an audit or SOX program through periods of rapid growth - Familiarity with enterprise systems such as Workday, Salesforce, or GitHub - Experience evaluating SDLC controls in modern software development environments - CISA, CIA, CISSP, CPA, or equivalent certification - Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Privacy Counsel
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking a Privacy Counsel to join our Legal team. You'll counsel on complex privacy issues and build the processes and programs that address privacy and data protection in a global context. This is a unique opportunity to join a dynamic and growing team, where you will have the chance to shape the company's privacy and data protection strategy and compliance program. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, partnering cross-functionally with Legal, Integrity & Compliance, Safeguards, Security, Policy, Research and Product. Key responsibilities - Counsel product, research and engineering teams across the model and product lifecycles, applying laws written before frontier AI with clarity and fresh thinking - Translate complex technical architecture into clear, actionable risk advice - Deliver integrated guidance on safety, security and data protection - Lead privacy on Anthropic's most strategic deals and partnerships, opening creative paths for novel technologies - Negotiate privacy and data protection terms in enterprise, platform and partnership commercial agreements, including DPAs, BAAs, data sharing agreements and cross-border transfer terms - Lead privacy diligence on mergers and acquisitions, and support corporate governance - Collaborate closely with counsel and privacy colleagues on joint analysis, bringing competing views together into a single, well-reasoned position Minimum qualifications - JD from an accredited law school and active membership in at least one U.S. state bar - Hands-on experience advising a technology business (in-house or at a leading law firm) on privacy and data protection - Experience drafting and negotiating data protection agreements, such as DPAs, BAAs and data sharing agreements - Working knowledge of key global privacy laws, including those of the Americas, EEA and APAC - Ability to read and engage with technical documentation, such as system designs and architecture diagrams - Excellent legal writing, including clear, concise advice Preferred qualifications - At least 8 years of privacy and data protection legal experience - Deep familiarity with software and model development and architecture - Proven ability to build privacy processes, playbooks and templates that scale with a fast-growing business - Direct engagement with privacy regulators, including providing briefings and responding to inquiries - Privacy and data protection work on mergers, acquisitions, and similar transactions - Background advising safety, security or trust and safety teams, including on privacy incidents and notification decisions 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: $265,000 - $335,000 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.
IP Counsel, Transactions
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 and strategic transactional attorney to join the IP team within our growing legal department. In this role, you will be responsible for the IP side of Anthropic's transactions, partnering with the M&A and commercial counsel who lead each deal. You will conduct IP diligence and negotiate IP terms for our acquisitions and investments, help advise on IP terms in our most complex commercial and research agreements, and drive the playbooks and processes that make our processes scalable. You will partner closely with the Head of IP (direct manager), our M&A and Commercial Legal teams, and Corporate Development on questions and issues that are very often new. Responsibilities - Lead the IP workstream on acquisitions and strategic investments, from diligence through letters of intent, definitive agreements, closing, and integration, alongside our M&A counsel and outside counsel - Partner with commercial counsel on the IP aspects of complex enterprise, partnership, research collaboration, and vendor agreements, advising on and negotiating IP terms - Serve as the primary point of contact on IP terms for commercial legal and other colleagues, and help train them so they can resolve more IP questions on their own - Drive the playbooks, templates, and processes that let a lean team handle IP terms across a high volume of deals - Contribute to broader IP strategy, particularly where transactions intersect with open source, trade secrets, patents, or new business models Minimum qualifications - Hold a JD and are an active member of at least one U.S. state bar - Have substantial experience leading IP due diligence and negotiating IP terms in technology M&A - Have first-chair experience negotiating IP provisions in complex commercial technology agreements, such as licenses, joint development agreements, and services agreements - Have the ability to communicate IP risks and tradeoffs clearly to business leaders and non-specialist lawyers, and to exercise sound judgment about when to hold a position - Have strong working knowledge of open source licensing, employee and contractor IP assignment obligations, and trade secret protection Preferred qualifications - 10+ years of transactional IP experience at a nationally recognized law firm, a technology company, or both - Experience building negotiation playbooks, templates, or diligence processes that other lawyers relied on - Experience with AI, machine learning, data licensing, or other emerging technology - Curiosity about AI and a commitment to its responsible development The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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.
Corporate Finance & Strategy, Strategic Transactio...
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 to support Anthropic's M&A and strategic transaction activity. In this role, you will lead the financial due diligence of acquisition targets and own the Finance & Strategy view of each deal: forecasting the target's business, testing the assumptions behind the deal, and translating its impact into Anthropic's forecast and plan. You'll partner with a broad group of cross-functional stakeholders throughout the deal process, including Corporate Development, Accounting, R&D, People, and more. The role suits someone who has seen transactions from more than one vantage point, whether as an investor, a banker, or an operator. You'll give leadership a clear view of what each deal means for Anthropic's financials, and build the models, frameworks, and playbooks that keep this work consistent from one transaction to the next, leveraging Claude as a core part of your toolkit. Key responsibilities - Lead Finance & Strategy's financial due diligence on M&A and other strategic transactions: assess the target's historical performance and forecast, pressure-test the assumptions behind the deal, and surface the risks that matter for the decision - Build the deal model and pro forma forecast for each transaction, and evaluate deal economics and structuring options - Partner with Corporate Development on the deal case, Accounting on diligence findings and post-close integration, and the sponsoring business team on operating assumptions, carrying what you learn into the model - Translate each deal's impact into Anthropic's forecast and plan, and present your analysis and recommendations to Finance leadership - Build the templates, playbooks, and processes that make deal work repeatable, and use Claude to raise the rigor and pace of that work over time Minimum qualifications - 7+ years of experience in M&A-related roles across investment banking, private equity, growth equity, venture capital, corporate development, or strategic finance - Hands-on experience building acquisition models and pro forma forecasts from scratch, with mastery of how a transaction flows through the three financial statements - Strong collaborator who builds trust quickly across large, cross-functional deal teams - Clear, proactive communication, including experience presenting to Finance leadership - Thrives in fast-paced, dynamic environments and navigates ambiguity with confidence - Track record of building new processes, templates, and playbooks - Passion for Anthropic's mission of building safe, beneficial AI Preferred qualifications - MBA, CFA, or CPA - Experience on both the investing / advisory and operating sides of transactions - M&A experience at a public company, with an understanding of downstream reporting impacts - Experience using Claude or similar AI tools to raise both the quality and the efficiency of your work 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 - $240,000 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, Safeguards (Generalist)
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 dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 - $460,000 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, Safeguards (Account Integrity & A...
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 dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities - Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. - Ability to write safety evals and communicate externally about safety. - Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. - Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. - Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. - Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: - Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. - Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. - Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. - Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs - Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. - Evidence of exercising judgment and decision making in ambiguous situations. - Planning, building, launching and measuring new products / systems in a zero to one environment. - Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. - Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications - 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. 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: $385,000 - $460,000 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.
Operating Systems Engineer, On-Device Inference |...
About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across silicon, embedded systems, operating systems, and cloud services to build reliable consumer devices and the novel platforms required to support them. We partner closely with research to bring advanced AI capabilities into the physical world. About the Role As an Operating Systems Engineer focused on on-device inference, you will design, develop, and ship the OS stack that makes advanced AI capabilities reliable, responsive, and energy efficient on consumer devices. Your work will span OS services and frameworks, inference runtime integration, model fitting, scheduling, and performance and power management. You’ll partner with research to adapt models to device constraints, make design decisions across the stack, and carry solutions from early exploration through integration and production. In this role, you will: - Build the inference platform: Design and implement maintainable OS services, frameworks, and clear interfaces for inference execution, model loading and lifecycle, and resource management. - Fit models to device constraints: Partner with researchers on quantization, runtime integration, and memory optimization to meet memory, compute, and energy budgets while evaluating model quality and product behavior. - Coordinate system resources: Develop scheduling and resource policies that balance inference with other device activity, preserving responsiveness within latency, memory, battery, and thermal constraints. - Advance performance and power management: Develop and validate execution strategies that adapt to workload needs, available resources, and changing device conditions. - Debug across the stack: Use tracing, profiling, and structured debugging to investigate correctness, concurrency, performance, and reliability issues across models, inference runtimes, and OS components. - Measure and validate improvements: Build diagnostic tools, instrumentation, representative device workloads, and automated tests to demonstrate repeatable performance and energy gains on physical devices, catch regressions, and validate sustained use. - Bring capabilities to production: Collaborate with research, hardware, firmware, platform, and product engineering teams to turn emerging model capabilities into maintainable systems and reliable shipped features. Minimum Qualifications - Substantial hands-on experience designing, developing, and debugging operating system components, system services, or performance-critical platform software. - Proficiency in C++ for systems development, including concurrent programming, memory ownership, and resource lifetime management. - Hands-on experience integrating or optimizing inference runtimes or machine learning workloads in resource-constrained environments. - Strong understanding of scheduling, memory management, and how workloads compete for shared system resources. - Experience diagnosing complex system behavior and delivering performance or power improvements supported by repeatable measurements. - Ability to work across disciplines, translate research and product needs into system requirements, and explain technical decisions and tradeoffs clearly. You might thrive in this role if you: - Have delivered end-to-end on-device inference in shipped products, from model adaptation and runtime integration through OS support and production debugging. - Have adapted models for deployment through quantization, compression, or related techniques, balancing quality, execution cost, and memory requirements. - Have optimized inference across CPUs, GPUs, or neural accelerators, accounting for data movement, synchronization, and execution placement. - Are proficient in Rust for systems programming. - Take ownership of complete solutions and follow problems across model, runtime, and operating system boundaries. - Challenge assumptions, develop new approaches when existing techniques fall short, and use experiments and measurements to guide decisions. - Work constructively across disciplines and make careful tradeoffs among model quality, performance, power, reliability, security, and maintainability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manager, Applied AI Architects
About the Team The Applied AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As the Manager of Applied AI Architects in London, you will lead a team of senior technical leaders responsible for the technical strategy, customer journey, and path to production value for OpenAI's largest and most complex customers across the DACH region. Your team will act as the “CTO of the book of business,” partnering with customer executives and technical teams from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will set the operating model for how Applied AI Architects own technical account plans across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with Sales leadership and Account Directors, you will help prioritize customer portfolios, allocate technical resources, and ensure business priorities translate into focused use cases, credible architectures, actionable adoption roadmaps, and durable customer value and growth. You will remain accountable for the team's technical outcomes while developing its people and bringing in the right specialists across deployment, implementation, enablement, security, product, research, and partners. You will serve as an executive technical sponsor for critical engagements, a senior voice of the customer inside OpenAI, and a cross-functional leader who can move confidently between regional strategy, executive decision-making, architectural depth, and hands-on coaching. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Hire, coach, and develop a high-performing team of Applied AI Architects, creating an environment of technical excellence, sound judgment, continuous learning, accountability, and strong customer stewardship. - Define and continuously refine the strategy and operating model for Applied AI Architecture across Europe, aligning company priorities with the evolving needs of strategic customers and the regional go-to-market. - Partner with Sales leadership and Account Directors to prioritize accounts and opportunities, allocate technical resources effectively, and establish clear technical strategies for the region's most consequential engagements. - Ensure Applied AI Architects serve as the primary technical advisors for their portfolios, owning technical account plans, technical milestones, adoption priorities, account health, and expansion opportunities. - Lead complex, multi-threaded customer journeys that connect executive vision and business outcomes with use-case qualification, solution evaluation, enterprise governance, and a credible path to production. - Coach the team on Applied AI architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, reliability, and deployment. - Build trusted relationships with C-suite and board-level stakeholders, as well as senior AI, technology, data, security, and engineering leaders, serving as an executive technical sponsor when needed. - Mobilize Deployment Engineering, implementation, enablement, Product, Engineering, Research, Security, Legal, Privacy, partners, and other specialists to remove blockers and deliver a cohesive customer experience. - Establish a rigorous view of portfolio health, including technical wins, qualified use cases, production readiness, adoption, usage, risks, measurable customer impact, and the technical contribution to growth. - Translate patterns from the field into actionable feedback for Product, Engineering, Research, and go-to-market teams, while developing reusable architecture guidance and customer practices. - Foster a culture that balances ambitious customer outcomes with responsible AI deployment, clear ownership, thoughtful prioritization, and effective specialist handoffs. You might thrive in this role if you: - Possess deep technical acumen in modern AI systems, frontier models, agentic applications, platform technologies, software and cloud architecture, APIs, data integration, identity, security, privacy, evaluation, and enterprise deployment. - Bring 10+ years of experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical consulting, including work with large and complex enterprises. - Have 4+ years of people-management experience hiring, coaching, and developing high-performing customer-facing technical teams. - Have guided enterprise organizations from technical discovery and evaluation through production adoption, healthy usage, and measurable business impact. - Demonstrate outstanding executive communication and presentation skills, with the ability to build credibility with CTOs, CIOs, CISOs, boards, business leaders, and hands-on engineers. - Can lead a complex portfolio, make thoughtful resource-allocation decisions, and balance regional strategy with hands-on support for critical customer engagements. - Exercise strong architectural judgment, including knowing when to go deep personally, when to coach the team, when to involve specialists, and how to define clear handoffs and ownership. - Build strong partnerships across Sales, Product, Engineering, Research, Deployment, Customer Engagement, Security, Legal, Privacy, and external partner ecosystems. - Are comfortable leading across Northern Europe and partnering across European markets from London, adapting your approach to different industries, cultures, regulatory contexts, and customer operating models. - Embody a customer-centric philosophy focused on durable value, responsible production adoption, technical excellence, and long-term partnership. - Approach your work with humility, curiosity, a collaborative spirit, and a deep commitment to the safe and beneficial advancement of AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Manager, Applied AI Architect
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises in Korea understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers in Korea throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders, including global teams across time zones, to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to span the gamut from technical deep dives for engineering and development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases, including Korean language use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: - 5+ years of experience in people management for the technical sales roles. - Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, including C-suite executives, engineering and IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Fluency in Korean and English 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.
Machine Learning Engineer, Monetization AI/ML
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: - Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. - Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. - Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. - Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. - Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: - Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. - Demonstrated experience in deep learning and transformers models - Proficiency in frameworks like PyTorch or Tensorflow - Strong foundation in data structures, algorithms, and software engineering principles. - Experience with search relevance, ads ranking or LLMs is a plus. - Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization - Excellent problem-solving and analytical skills, with a proactive approach to challenges. - Ability to work collaboratively with cross-functional teams. - Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines - Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done 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.
Head of APAC GTM Enablement
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 APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. You will be the first enablement leader on the ground in APAC. You will change that. As the first enablement leader based in APAC, you will own how the field across the region gets ready: onboarding, ongoing skill development, manager coaching support and launch readiness, for every GTM function, not just sales. You are the multiplier. You turn a rapidly scaling region into a field that is ready for the customer conversations in front of it, in the languages those conversations happen in. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to design for APAC as part of that engine, adapted and translated where it matters, delivered across APAC, feeding what you learn back into the international and global programme. Design, influence and translate, in both directions. How we work: adults learn by doing, we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a deep understanding of how adults learn, applied at unprecedented speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable. Infinite practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities - Stand up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a regional feedback loop into the global programme - Adapt the international portfolio for APAC, where enablement for several markets must be written and translated ahead of delivery rather than spoken and hoped for - Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows - Own launch readiness for the region. When a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else - Run practice-first sessions in the room: deal walkthroughs, role-plays, customer-conversation rehearsal. Practice and application over presentation Minimum qualifications - Have 15+ years in GTM enablement, sales productivity or field roles, with several years leading enablement - Have built and led GTM enablement in APAC, with direct experience in more than one of the region's markets - Have influenced and shipped beyond your own region, from a global seat or a regional one: a programme adopted elsewhere, or a senior stakeholder outside your reporting line whose decision you changed - Personally design practice-first enablement and measure it by what the field does differently afterwards, not content shipped or attendance - Understand how adults learn and apply it at unprecedented speed. Much of the job is helping experienced sellers unlearn pre-AI habits, not just teaching new ones - Are creative with the craft. You use AI to give every seller personalised practice, real-deal scenarios and fast feedback, not to produce more content - Have owned a function with end-to-end accountability rather than orchestrated one - Have enabled a field across languages and cultures. You know what breaks when content built for English-first markets ships as-is - Operate as the region's first enablement leader: prioritising ruthlessly, borrowing leverage from global programmes, knowing when to adapt versus adopt - Work fluently with sales leaders as a peer: pipeline reviews, deal inspection and forecast conversations, not just training rooms Strong candidates may also - Have held both a global and an APAC enablement role - Have run enablement delivered across APAC markets - Have built a regional enablement function from zero - Have carried a quota or led sellers earlier in their career - Have enablement experience in AI, developer platforms or technical products sold to both executives and builders - Have built manager or coaching programmes, not just individual-contributor enablement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Customer Success
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Join Anthropic's India-based Customer Success team as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across India helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you, will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our product development and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. As a founding CSM in India, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones. Responsibilities: - Build trusting, strategic relationships with key Indian customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion - Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions - Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer - Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both our consumption-based and seat-based products to drive full value from contracted commitments - Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of Indian customers - Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment - Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows - Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement - Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic - Build Anthropic's brand and customer relationships as one of the founding members of the India CS team, developing where needed, India-specific processes, playbooks, and best practices that account for regional business cultures You may be a good fit if you have: - 12+ years of experience in customer-facing roles (Customer Success, Consulting, Success Engineer or similar) - Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each - Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns - Experience explaining and demonstrating technical products to various audiences - Strategic mindset to identify growth opportunities and translate them into actionable expansion plans - Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs - Strong project management skills and ability to manage multiple customer relationships - Passion for AI and interest in responsible development of advanced systems - Experience working in and building a growing region, while navigating across time zones with US-based headquarters - A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player 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
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 team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: - Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation - Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success - Support customers building with both the Claude API and Claude for Work - Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives - Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack - Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases - Identify common integration patterns and contribute insights back to our Product and Engineering teams - Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building - Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns - Collaborate across time zones with global teams while serving as the technical expert for the India market You may be a good fit if you have: - 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager - Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders - Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more - Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders - Experience designing scalable cloud architectures and integrating with enterprise systems - Comfortable with Python - Familiarity with common LLM frameworks and tools or a background in machine learning or data science - Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - A love of teaching, mentoring, and helping others succeed - Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities - Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems - Ability to work effectively across cultures and time zones as part of a global 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.
Software Engineer, Beneficial Deployments
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: - Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets - Understand the needs of underserved communities and translate them into scalable technical and product solutions - Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations - Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers - Develop multilingual and accessibility capabilities across platforms - Build systems to measure and demonstrate social impact at scale - Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities - Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: - Have 6+ years of practical experience as a full-stack software engineer - Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations - Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations - Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs - Care deeply about using technology for social good and want your engineering work to have meaningful impact - Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: - Experience with international markets, multilingual products, or accessibility features - Background in nonprofit technology, social impact startups, or mission-driven organizations - Experience with AI/ML products and LLM applications - Familiarity with building products for resource-constrained environments or emerging markets - Understanding of compliance requirements in regulated sectors - Startup experience, particularly in scaling products from zero to one 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: $320,000 - $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Machine Learning Engineer, AI Platform & Ag...
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. ABOUT THE TEAM + ROLE We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood. Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf. We're building toward the same platform powering the agents millions of customers interact with directly, in real time. These agents don't just answer questions — they're designed to take real action across carefully curated meta harnesses. This is agentic AI at real scale, in a regulated financial environment, and it will change how Robinhood works! As a Staff Machine Learning Engineer on the AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. A critical part of the role is making those agents trustworthy at scale: trajectory-level evals that measure how an agent reasons and acts, and action guardrails — permission models, approval gates, and sandboxing — built as platform primitives that other teams adopt. You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from zero to one and into production. You'll help define the team's technical direction, mentor engineers, and shape how Robinhood decides an agent is ready to ship. This role offers a rare combination of technical depth, platform-scale impact, and the satisfaction of building systems that genuinely don't exist anywhere else. This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. WHAT YOU'LL DO - Design and build the core of Robinhood's agent harness — orchestration, tool integrations, context and memory management — so one platform can safely power both high-trust internal agents and tightly scoped customer-facing ones. - Ship agentic applications end to end on that harness, from an ambiguous problem to a production agent that takes real action on behalf of employees or customers, and feed what you learn back into the platform. - Build trajectory-level evaluation systems that score how an agent got to an answer, not just the answer — tool-call correctness, planning and recovery, multi-step task completion — backed by simulation environments and synthetic task generation. - Architect action guardrails as platform primitives: least-privilege tool scoping, permission models, human-approval gates for high-risk or irreversible actions, step and budget limits, sandboxing, and rollback. - Make evals and guardrails products other teams adopt — SDKs, CI regression gates on prompt, model, and tool changes, continuous red-teaming, and production tracing that closes the loop from real traffic back into eval sets and guardrail models. - Set the technical bar through architecture reviews, code reviews, and mentorship, and be the person who can make — and defend with data — the "don't ship" call. WHAT YOU BRING - 10+ years of experience as a Machine Learning Engineer or ML-focused software engineer, with strong Python and distributed-systems fundamentals and a track record of shipping LLM-powered systems to production at scale. A Master's degree in Computer Science or a related technical field, or equivalent professional experience. - Hands-on experience building agentic systems end to end — tool use, orchestration, context management, multi-step planning — on top of frontier models, in production. - Deep expertise evaluating agents: you've built trajectory-level evals, tool-call scoring, and simulation environments, and you can articulate why final-answer accuracy is insufficient for systems that act. - Demonstrated expertise designing action-level guardrails — permission and tool-scoping models, approval gates, blast-radius controls, and sandboxing — for agents operating in systems where mistakes have consequences. - Rigor in evaluation methodology: golden datasets, rubric and LLM-as-judge grading and their failure modes, statistical significance with small N, offline-to-online metric correlation, and eval data versioning and contamination control. - Proven ability to build platforms, not just models: you've shipped eval, safety, or agent tooling that other engineering teams adopted, and you have the judgment to know when to build versus buy. WHAT WE OFFER - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $255,000 - $300,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $225,000 - $264,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $199,000 - $234,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Senior Machine Learning Engineer, AI Infra
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. The AI Infrastructure team’s mission is to provide a robust, agile, and centralized AI platform — empowering teams across Robinhood. We partner deeply across Data, Platform, and Product Engineering to define how AI gets built and run at Robinhood — and we hold a high bar for reliability, scalability, and craft. If you’re energized by platform work that multiplies the output of an entire organization, this team is for you! As a Senior Software Engineer on the AI Infrastructure team, you’ll be a technical anchor on our ML platform — owning the architecture and end-to-end delivery of foundational systems that power model development, deployment, and observability across the company. You’ll lead the design of complex platform capabilities including our feature store, model serving layer, and training infrastructure, while partnering closely with ML practitioners to ensure these systems accelerate their work rather than slow it down. You’ll bring senior-level judgment to ambiguous technical problems, contribute to the team’s technical strategy, and help mentor engineers earlier in their careers. Your work will directly shape how every AI product at Robinhood gets built, scaled, and maintained in production. This role is based in our Menlo Park, CA and Bellevue, WA office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you’ll do - Lead the architecture and end-to-end delivery of scalable systems for deploying, monitoring, and managing ML models in production - Own the technical direction for key platform areas — including model serving, the feature store, and ML observability infrastructure — from design through long-term reliability - Drive cross-functional partnerships with ML practitioners, data engineers, and applied AI teams to streamline workflows, reduce friction, and accelerate experimentation - Evolve and scale our feature store to support efficient, low-latency feature retrieval across real-time and batch use cases - Define and implement robust observability standards for model performance, data pipelines, and feature freshness across the ML platform - Manage and optimize cloud compute resources (CPU/GPU) on AWS to support cost-effective, high-throughput training and inference at scale - Contribute to technical strategy and roadmap discussions, and help mentor engineers on the team through design reviews and hands-on guidance What you bring - 6+ years of software engineering experience, with meaningful depth in ML infrastructure, data engineering, or model operations - Demonstrated ability to own and deliver complex platform systems end-to-end, from architecture to production - Deep expertise in model serving, distributed systems, and production ML workflows at scale - Strong proficiency in Python, C++, or similar languages, and hands-on experience with ML frameworks such as TensorFlow or PyTorch - Solid knowledge of modern ML infrastructure tooling (e.g., Ray, Kubeflow, SageMaker, TensorFlow Serving, Triton) - Hands-on experience with large-scale search systems, including embedding models, vector databases, and distributed retrieval engines using platforms such as Qdrant, ChromaDB, or Elasticsearch with dense vector search capabilities - Experience influencing technical direction across teams and mentoring engineers at varying levels - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; advanced degree a plus What we offer - Challenging, high-impact work to grow your career - Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching - Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents - Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds. - Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not. - Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more - Employer-paid life & disability insurance, fertility benefits, and mental health benefits - Time off to recharge including company holidays, paid time off, sick time, parental leave, and more! - Exceptional office experience with catered meals, events, and comfortable workspaces. In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $209,000 - $245,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $184,000 - $216,000 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $163,000 - $191,000 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.
Android Engineer II (AI Momentum)
Android Engineer II (AI Momentum) at WHOOP. Femtech Insider network role. Industry tags: Analytics, Consumer Electronics, Consumer Goods, Fitness, Hardware, Health Care, Personal Health, Software, Sports, Wearables, Wellness. Skills: Android Software Development, Kotlin, Statsmodels, Retrofitting, RESTful API, Application Performance Management, Technical Documentation, Code Review, Collaboration. Locations: Boston, MA, USA. Work mode: on site.
Security Technology Deployment Specialist
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 part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale. You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint. Responsibilities: - Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations - Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations - Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform - Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production - Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements - Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams - Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion - Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one - Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites - Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale - Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment - Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently You may be a good fit if you: - Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization - Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential - Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently - Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments - Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools - Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms - Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity - Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices - Are comfortable with 25% travel for site deployments, commissioning, and validation Strong candidates may have: - Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments - Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud, Alcatraz.ai , Ambient.ai , SureView, Envoy - Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP - Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems - Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation - Experience with health monitoring and observability platforms - Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks - Experience with change management, configuration control, and version-controlled infrastructure documentation Deadline to apply: None. Applications will be received on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $180,000 - $230,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Compute & Infrastructure Counsel, Real Estate
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 Compute & Infrastructure Counsel, Real Estate at Anthropic, you'll drive legal execution for Anthropic's largest physical infrastructure transactions: direct datacenter leases, construction agreements, and the financing structures that enable infrastructure investments at massive scale. This role focuses on facilities where Anthropic has direct control through ownership or long-term lease, complementing the colo & networks, and cloud compute legal teammates (facilities where Anthropic is tenant, and our hyperscaler relationships, respectively). You'll work in close partnership with specialized outside counsel on financing and real estate matters, serving as the in-house coordinator who ensures external work product aligns with Anthropic's commercial objectives and integrates with our overall compute strategy. Responsibilities - Negotiate long-term datacenter leases with major developers, and represent some of Anthropic's largest and lengthiest capital commitments - Coordinate construction-adjacent agreements including design-build contracts, equipment procurement, and commissioning schedules - Manage legal workstreams for complex financing structures (e.g., sale-leasebacks, tax components, or project finance vehicles) - Work closely with specialized outside counsel (real estate and financing specialists), ensuring their work product aligns with Anthropic's commercial objectives - Collaborate with compute team's transaction managers who handle operational execution and project management, providing legal and risk management expertise - Coordinate with finance and corporate development on strategic deal structuring - Understand how datacenter legal structures interact with the compute capacity they will house e.g., power requirements, cooling specifications, security standards, and expansion rights all flow from decisions made elsewhere in the Compute organization - Escalate novel structures or terms that create downstream risk for Anthropic's operational flexibility to managers; ensure facility designs accommodate AI-specific requirements including high-density power, liquid cooling infrastructure, and rapid scaling capacity Minimum qualifications - JD and active membership in at least one U.S. state bar - Fluency in commercial real estate and construction contracting; datacenter lease structures, construction risk allocation, and financing arrangements (and how they will interact) - Experience with EPC, AIA, and design-build arrangements at scale - Comfort with project finance structures and the interplay between lease, financing, and development agreements - Ability to coordinate effectively with specialized outside counsel while maintaining strategic direction - Strong judgment about when deal terms create downstream risk for operational flexibility - Effective collaboration skills for working with business teams who handle transaction management and site selection - Communication skills that translate complex real estate and financing concepts into clear risk assessments for business stakeholders - Genuine interest in infrastructure development and appreciation for why datacenter capacity is mission-critical for frontier AI Preferred qualifications - At least 8 years of relevant legal experience with meaningful exposure to infrastructure real estate transactions, project finance, or construction contracts - In-house experience at datacenter developers supporting leasing, project development, and financing transactions - Background at infrastructure private equity firms with exposure to datacenter or similar infrastructure investments - Experience at large technology companies with datacenter construction programs supporting development transactions from the buy side - Law firm experience at practices with infrastructure finance or project development specialization, particularly those who have worked on datacenter, power, or similar infrastructure financings - Prior involvement in transactions requiring sophisticated understanding of construction timelines, commissioning requirements, and operational handoff - Familiarity with tax structures, sale-leaseback arrangements, or other financing vehicles used in large-scale infrastructure development Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or Seattle 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: $265,000 - $335,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Technical Support Engineer (L2) - Compute
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. Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture. In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale. This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus. KEY RESPONSIBILITIES FIRST CUSTOMER’S POINT OF CONTACT - Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries. - Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution. - Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently. - Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable. TECHNICAL SUPPORT - Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for: - GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures). - Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations). - Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters). - Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems. - Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues. - Participate in on-call rotations to provide 24/7 support for critical compute systems - Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads. KUBERNETES & CONTAINERIZATION - Debug Kubernetes clusters with a focus on: - Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff). - Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses). - Resource management (e.g., Requests/Limits, QOS classes, node affinity). - Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors. - Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling. DOCUMENTATION & PROCESS IMPROVEMENT - Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting). - Contribute to post-mortems with actionable follow-ups to prevent recurring incidents. - Train internal teams on best practices for compute infrastructure and debugging. - Help define and refine support processes as a founding member of the new Compute Support team. What We’re Looking For REQUIRED SKILLS & EXPERIENCE - 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization). - Deep Linux/Unix expertise: - Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling). - Performance tuning (e.g., sysctl, ulimit, filesystem optimizations). - Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH). - Storage management (e.g., LVM, RAID, NVMe, GPU-local storage). - Hands-on Kubernetes experience is mandatory: - Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl). - Networking and storage (e.g., CNI plugins, PersistentVolumes). - Resource management (e.g., Requests/Limits, QOS classes). - Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry). - Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks). - Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus. - Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders. - Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability. - Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach. - Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response. 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.
Executive Producer, Executive Communications
Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? Cohere has a strong AI narrative, the most deployable product, and a CEO who co-authored the foundational paper of modern AI. The company is positioned to become the transatlantic leader in sovereign AI for enterprise and government, and needs a storytelling engine to deliver that story at scale. This role sits within the team that is building that engine. We're looking for an Executive Producer, Executive Communications to own and evolve Cohere’s narrative globally as we grow to become the transatlantic leader in sovereign AI. This is a rare opportunity to use video as the primary medium to share voices and tell stories of executives at one of the fastest growing companies in the most dynamic space in technology. In this cross functional role, you will partner directly with C-Suite and VP executives, helping to determine how we talk to customers, partners, and employees. The role takes Cohere's narrative—the through-line that connects sovereign AI, transatlantic growth, and the product story—and turns it into the content the world sees and shares. You will execute Cohere's strategic narrative through various forms of content including video, podcast, and in-house production. While the role flexes across formats, we see video as the primary and most effective medium. The Executive Producer has dual aims: to grow the personal thought leadership profiles of Cohere's senior voices on their own channels and to deliver Cohere's narrative to the market through company channels. As Executive Producer, Executive Communications you will: - Build and execute Cohere's strategic narrative across three storytelling surfaces: Executive Thought Leadership, Policy Storytelling, and Corporate Storytelling - Partner with the VP Global Communications on narrative architecture and translating Cohere's narrative into content strategy and execution across the aforementioned three storytelling surfaces - Audit and gap analyses across Cohere's senior voices including the co-founding team, CFO, Chief AI Officer, SVP Government Affairs, and various VPs supporting the business - Develop content playbooks for predictable inflection moments (regulatory milestones, product launches, customer wins, IPO milestones) to be launched on executive and company pages - Partner with Marketing to create content for company accounts - Stand up the production function including stage capture systems, content atomization workflows, and freelance crew networks - Build AI-enabled workflows using Cohere's own products (Command, North, Embed, Rerank) for transcript-to-asset pipelines, executive prep automation, and narrative consistency - Initiate executive stage content capture and distribution at major events with lean, scalable production - Conduct executive content audits and gap analyses across senior voices - Refine and systematize content production workflows with predictable cadences - Develop flagship thought leadership pieces and corporate storytelling output - Scale successful surfaces based on impact analysis and team capacity You may be a good fit if you: - Have 8-10 years of experience building executive and corporate narratives from ideation through execution, ideally within a fast-paced, high-growth tech or AI environment - Are adept are creating production workflows from scratch (stage capture systems, content atomization pipelines) - Have experience in the high-paced broadcast television environment - Have experience building trust and rapport with executives and senior leaders naturally - Are scrappy. You thrive in thinking “outside the box” and find joy in marrying a problem to its solution - Are highly organized and process-driven, with strong project management skills and a bias for action - Bring high levels of creativity to communications – in format, channel, and storytelling - Are comfortable navigating organizational dynamics and building strong relationships across all levels - Thrive in ambiguous, fast-moving environments and know how to ruthlessly prioritize Ideal Candidate Profile The successful candidate will have experience in strategic communications, content production, and executive storytelling, with the ability to build scalable systems and leverage AI tools. They should be comfortable navigating executive relationships, managing production workflows, and adapting content strategies based on performance data. Experience in tech/AI environments and familiarity with Cohere's product suite would be valuable assets. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Software Development In Test Intern (Summer 2027)
Role Overview As a Software Development in Test (SDET) Intern, you’ll have the opportunity to be a key player in setting a high quality bar for our users. You’ll work on designing and implementing automated testing processes while getting exposure to a key function at Together AI. Across teams like Cluster Management and Inference Platform, our work centers on automating and testing the critical flows behind our infrastructure. This is a rare opportunity to gain deep insight into how AI infrastructure is provisioned, managed, and scaled or to get hands-on experience benchmarking the newest cutting edge open source models. This role is on-site at our HQ in San Francisco, CA. Responsibilities - Developing automated test scripts for functionality, performance, and reliability testing across the website and services - Write clean, efficient, and well-documented code with a focus on long-term maintainability - Extend and improve test automation frameworks to increase efficiency and overall coverage across the platform. - Collaborate with engineering and product teams to understand project requirements and contribute to defining test plans and quality standards Minimum Qualifications - Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 - Excellent programming skills in Typescript, Go or Python - Knowledge of automation testing methodologies, tools, and best practices - Ability to solve problems creatively and communicate trade-offs effectively Preferred Qualifications - Prior SDET experience through internships, hackathons, or projects - Experience in API Testing, AI infrastructure, and/or Git workflows and CI automation. - Experience with Playwright or Cypress 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, 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 advancements such as FlashAttention, Mamba, FlexGen, Petals, Mixture of Agents, and RedPajama. Internship Program Details Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 an hour. Our hourly rates 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
Clinical Supply Chain Manager
Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As Clinical Supply Chain Manager, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making Salt Lake City your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $138,380-$186,010 - Salt Lake City & all other U.S. locations: $125,800-$169,100 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Associate Director, Clinical Supply Chain
Your work will change lives. Including your own. The Impact You’ll Make As our pipeline matures, you will play a critical role in scaling our clinical supply operations from early exploratory phases into complex, global pivotal trials. In this role, you will: - Lead end-to-end clinical supply chain strategy for assigned global programs, establishing Phase I/II processes while building for the large-scale requirements of Phase III pivotal trials. - Oversee complex clinical demand forecasting, packaging, labeling, global distribution, logistics, and inventory management as trial footprints expand internationally. - Manage external packaging vendors, CMOs, and trial supply depots while implementing, scaling, and optimizing IRT/RTSM logic to support flexible, complex trial designs. - Build and improve data-driven workflows by leveraging AI and advanced tools to optimize forecasting, inventory management, and logistics processes. - Partner seamlessly across Clinical Operations, Quality Assurance, Regulatory, and CMC to ensure supply strategies align with accelerating trial milestones and commercial readiness. - Create scalable supply chain tools, SOPs, and proactive risk-mitigation strategies capable of supporting registrational trials, flexible protocols, and uninterrupted patient supply. The Team You’ll Join As the Associate Director of Clinical Supply Chain, you will be an essential member of the Recursion Development Team reporting to the Director of Clinical Supplies. The Development Team is an empowered, execution-minded group of business development and clinical development professionals responsible for translating Recursion’s innovative science to patients through clinical and business development activities. You will be a crucial driver in maturing our operational capabilities as our assets progress toward commercialization. The Experience You’ll Need - Education & Experience: Bachelor's degree with a minimum of 5 years of clinical project management or clinical supply chain management experience in the pharmaceutical/biotech industry. - Trial Expertise: Direct experience managing the clinical supply chain for late-stage (Phase IIb/III) pivotal trials, including scaling up manufacturing and packaging strategies to enable flexibility and speed. - Global Logistics: Deep knowledge of global clinical trial supply operations, country-specific import/export regulations, and complex distribution networks. - Systems Proficiency: Hands-on experience designing and managing IRT/RTSM systems. Strong understanding of cGMP/cGCP guidelines and blinded operational protocols. - Vendor Oversight: Proven track record of managing contract packaging vendors, global depots, and managing clinical supply budgets effectively. - Agility & Mindset: Ability to navigate the ambiguity of early-phase research while imposing the necessary rigor for late-stage development, paired with a growth mindset biased toward innovation and continuous improvement. - Communication: Outstanding verbal and written communication skills to drive alignment across cross-functional teams. Working Location & Compensation: Making Salt Lake City your home base is ideal, however, we will consider remote work for this position. We ask that remote employees commit to regular on-site visits for routine work and departmental events At Recursion, we believe that every employee should be compensated fairly. Based on the skills, experience, and qualifications needed for this role, the estimated annual base salary range is: - New York City, Boston, & San Francisco Bay Area(s): $186,010-$218,790 - Salt Lake City & all other U.S. locations: $169,100-$198,900 In addition to base salary, this role is eligible for an annual bonus, equity compensation, and a comprehensive benefits package. LI-BO1 LI-REMOTE The Values We Hope You Share: - We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. - We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. - We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. - We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day. - We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together. - We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical-stage TechBio company decoding biology to radically improve lives. Recursion is advancing a portfolio of differentiated investigational medicines across its wholly owned and partnered pipeline in oncology, rare disease, neuroscience, immunology, and other therapeutic areas with significant unmet need. Enabling its mission is the Recursion OS, an AI-native, end-to-end drug discovery and development platform integrating biology, chemistry, and clinical development into a unified intelligence system. Powered by proprietary multimodal data, purpose-built AI models, and bilingual teams fluent in both science and AI, the Recursion OS is designed to translate complex science into medicines that matter — faster, better, and at scale — for patients who are waiting. Recursion’s platform infrastructure is anchored in Salt Lake City, Utah and Milton Park, Oxfordshire, where its automated biology and chemistry laboratories generate proprietary data at industrial scale. Recursion also maintains offices in New York, Montréal, and London, three global hubs for talent and leadership at the intersection of AI and scientific innovation. Learn more at www.recursion.com , or connect on X and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recursion leverages AI in our hiring process. We use Greenhouse's Talent Matching AI technology feature to help review applications against the skills and experience we've identified as important for this role. It analyzes your resume and application responses to assess how closely your qualifications match our criteria - but all decisions are made by our human recruiters and hiring managers, including whether to move to the next phase of review. Talent Matching does not automatically advance or reject any candidate. By submitting your application, you acknowledge that you have been informed about and consent to this use of the Talent Matching tool in our review process. Please refer to our Recursion Privacy Policy at https://www.recursion.com/privacy-notice/ for more information about our processing of personal data and your rights. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Talent Acquisition, Research - North America
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 member of the US Talent Acquisition team focused on Research and technical hiring, you will be instrumental in building and scaling Mistral's US-based research and engineering teams from the ground up. Joining early means you'll help shape both our technical recruitment strategy and operations, partnering closely with Research leadership across Research Science, Research Engineering, and adjacent technical functions. Your work will directly influence Mistral's frontier-model ambitions by ensuring we find and engage exceptional researchers and engineers who will drive Mistral's growth in the US. In this role, you'll also foster a strong candidate experience and help establish technical recruiting best practices as we expand across the US. What You Will Do Technical Stakeholder Partnership - Partner deeply with technical leaders — from Research Scientists and Research Engineers to team leads and hiring managers — to understand hiring needs, define role specs, and identify the right technical talent - Own full-cycle recruitment across Research Science and Research Engineering, with flexibility to support other technical roles as they come along - Advise hiring managers on market mapping, leveling, comp positioning, and the competitive landscape for US research and engineering talent - Translate the nuances of each technical role into compelling, accurate candidate outreach End-to-End Technical Recruitment - Own the full recruiting lifecycle from sourcing to close, operating with autonomy on complex, competitive technical roles - Source passive and active candidates across US research and engineering talent pools — from PhD students and postdocs to experienced researchers and engineers at leading AI labs, universities, and technology companies - Conduct intake and calibration sessions with hiring managers to align on ideal candidate profiles and stage expectations - Drive efficient, high-conversion pipelines and close candidates in a fiercely competitive market for top research talent Candidate Experience & Selling Mistral - Guide candidates through the hiring process with clear communication and a compelling narrative about Mistral's mission, culture, and trajectory - Articulate Mistral's positioning in the AI landscape — frontier models, open-weight philosophy, and research credibility — to differentiate us against better-resourced labs - Provide candidates with real insight into our research agenda, compute access, publication culture, and the specific impact of their role - Deliver a high-quality, respectful candidate experience at every stage, regardless of outcome Recruiting Operations & Data-Driven Improvement - Develop and refine technical recruiting processes, tools, and documentation to improve outcomes and efficiency - Use data to diagnose pipeline issues (e.g., drop-off at specific stages, time-to-fill by role) and propose targeted solutions - Build and maintain market maps, competitive intel, and talent pools for key US research and engineering segments - Standardize technical interview rubrics, scorecards, and debrief practices across US technical hiring teams Raising the Bar - Collaborate with Research leadership and the broader Talent team to continuously elevate our hiring standards - Contribute to defining and evolving our technical talent acquisition strategy in the US as we scale our research presence - Partner on employer-brand and outbound sourcing initiatives — including academic pipelines, conference presence, and open-source community engagement — that position Mistral as a destination for top research and engineering talent What We're Looking For - 6+ years of recruiting experience, including 2+ years in a startup or high-growth environment, with a focus on Research Science and Research Engineering roles - Demonstrated ability to independently hire across the technical stack — from Research Engineers to Research Scientists, and senior research talent - Deep network and sourcing expertise in US research and engineering talent markets, with credibility in AI/ML and ideally connections across top labs and universities - Track record of hiring in competitive, candidate-scarce markets where top researchers have multiple offers - Experience working across multiple US markets, including relocation and visa-driven hiring - Willingness to work on other roles as needs come up - Comfort navigating ambiguity and switching between strategic planning and hands-on execution - Strong written and verbal communication skills, with the ability to influence peers and senior technical stakeholders without direct authority - Organized, detail-oriented, and able to juggle shifting priorities across a high-volume hiring slate - Professional experience with modern recruiting tools such as Ashby - Familiarity with the AI/ML research landscape and the ability to credibly discuss frontier model capabilities, research directions, and publications with technical candidates 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.
Product Director, Studio
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 Studio has been developed to help enterprises build, evaluate, and operate AI systems reliably, safely, and at scale, turning prototypes into production-ready solutions. It provides the infrastructure enterprises need to scale their use cases, including comprehensive monitoring, reliable automation, and centralized tracking of AI assets. We are seeking a strong product leader to own the strategy and shape the future of Studio redefining the AI builder experience in enterprises. You will determine how enterprises observe AI behavior, run complex workflows, version and track assets, and deploy safely across hybrid and self-hosted environments. What You Will do - Strategy & Vision - Define and evangelize the product vision, strategy and annual goals for Studio. You will be accountable for its business impact. - Team leadership - Build the Studio PM organization: hire PMs and stream leads, set the operating cadence (quarterly product reviews, roadmap reviews…), and develop PMs through clear growth paths. - Delivery & Execution - Partner with engineering leadership on the roadmap to scope, sequence, and deliver value by balancing quick wins for our customers while advancing the long-term platform bets. - Drive strategic customer discovery with the PMs under your responsibility. - Go-to-market - Collaborate with Marketing and Go-to-market teams on positioning, pricing and packaging, launch plans, and adoption strategies. - Partner cross-functionally and with other product leaders to ensure we have a unified customer journey. What We're Looking For - 10+ years in product management, with deep experience building technical platform, infrastructure or developer products for enterprise customers and AI/ML fluency - Proven people leadership: you've hired and grown senior PMs, organized teams around clear stream ownership, and built durable operating cadences - Experience launching and scaling products - Proven ability to align and inspire cross-functional teams without direct authority. - Ownership and pragmatism: low ego, high EQ, bias for action; equally comfortable crafting a strategy narrative and diving into metrics, UX details, or a customer escalation - Strong communication skills for executives, teams, and users. - Ability to thrive in dynamic environments where priorities shift. - Self-directed, taking initiative to navigate unknowns and own outcomes. 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.
Partner Sales Manager, Cloudera
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 The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. As part of our rapid global expansion we are looking for a Partner Sales Manager for our Cloudera partnership in the US to join our growing North America 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 Cloudera partnership across the United States. 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 Cloudera US - Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, etc. - Expand the partnership within Cloudera to new product teams, industry sales teams, etc. - Align partner executive stakeholders to key Mistral executive counterparts Execute Cloudera plans to drive results: - Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the Global Partners and Alliances 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 product teams to help advance the customer experience for Mistral's models and tools on Cloudera's platform, including defining new routes to market through the partnership - Develop a strong collaboration with Mistral's US GTM team to help drive pipeline and advance opportunities to closure - Align Cloudera US sales teams with Mistral's sales counterparts and facilitate a regular MBR cadence ABOUT YOU Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: US — New York City (required). Expect travel within North America and to our HQ based in Paris. Experience: 10+ years, proven sales track record and experience in the ISV space. You are a builder, with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization - Market Expertise: Strong network and understanding of the US technology ecosystem and regional enterprise market dynamics - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus 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.
Partner Sales Manager, Cloud providers, META
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 The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. As part of our rapid global expansion we are looking for a Partner Sales Manager for our National Cloud providers in the META region to join our growing 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 the National Cloud providers across the region. 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 the National Cloud providers - Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, etc. - Expand the partnership within the National Cloud providers to new product teams, industry sales teams, etc. - Align partner executive stakeholders to key Mistral executive counterparts Execute Cloudera plans to drive results: - Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the Global Partners and Alliances 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 product teams to help advance the customer experience for Mistral's models and tools on the National Cloud providers's platforms, including defining new routes to market through the partnerships - Develop a strong collaboration with Mistral's META GTM team to help drive pipeline and advance opportunities to closure - Align the National Cloud providers META sales teams with Mistral's sales counterparts and facilitate a regular MBR cadence About You Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: META - Dubai or Abu Dhabi preferred. Expect travels within the META Region & to our HQ based in Paris. Experience: 10+ years, proven sales track record and experience in the ISV space. You are a builder, with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization - Market Expertise: Strong network and understanding of the META technology ecosystem and regional enterprise market dynamics - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus - Languages: Business fluent English & Arabic 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.
Partner Sales Manager Cloudera APAC
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 The Partnerships organization is accelerating its expansion globally. We now need the architecture to scale our delivery force through partnerships to meet the next wave of enterprise demand. As part of our rapid global expansion we are looking for a Partner Sales Manager for our Cloudera partnership in APAC to join our first-on-the-ground APAC 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 Cloudera partnership across the region. 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 Cloudera APAC. - Own end-to-end partnership responsibilities including financial business outcomes, co-sell, technical integrations, joint marketing campaigns, etc. - Expand the partnership within Cloudera to new product teams, industry sales teams, etc. - Align partner executive stakeholders to key Mistral executive counterparts. Execute Cloudera plans to drive results: - Execute strategic partnership plans to achieve pipeline and revenue results as a critical part of the Global Partners and Alliances 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 Cloudera’s platform, including defining new routes to market through the partnership. - Develop a strong collaboration with Mistral’s GTM team to help drive pipeline and help advance opportunities to closure. - Align Cloudera regional sales teams with Mistral’s sales counterparts and facilitate a regular MBR cadence. About You Education: Bachelor's degree in Business, Computer Science, Information Technology, or a related field. An MBA or advanced degree is preferred. Location: APAC - Singapore preferred. Expect travels within the APAC Region & to our HQ based in Paris. Experience - 10+ years, proven Sales track record and experience in the ISV space. You are a builder, added with: - Technical Credibility: Ability to understand and discuss AI/ML concepts, API integrations, and model deployment architectures. Experience with LLM platforms is a strong plus. - Executive Stakeholder Management: Experience working closely with C-level or senior leadership at partner organizations. High maturity in communication, influence, and prioritization. - Market Expertise: Strong network and understanding of the APAC technology ecosystem and regional variations. - Scale and Ambiguity Mindset: Experience in fast-growing environments. Comfortable navigating ambiguity and evolving priorities. Ability to operate with high autonomy and judgment. - Industry Background: Experience in enterprise software, SaaS, AI, or infrastructure industries. Exposure to AI, data, or developer-focused products is a strong plus. - Languages: Business fluent English - other regional languages a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Software Engineer Intern (Winter 2027)
Role Overview As a Software Engineer Intern, you’ll have the opportunity to work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. We’re looking for engineers looking to build meaningful projects end-to-end from initial scope into production. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is on-site at our HQ in San Francisco, CA and you must be available for our Winter Internship Dates between January to April. You’ll also be placed into one of our engineering teams spanning Platform Engineering, Infrastructure, SREs, and Inference. Responsibilities - Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs - Collaborate with product managers, designers, and engineers to deliver features and improvements - Write clean, efficient, and well-documented code with a focus on maintainability - Participate in code reviews, debugging, and performance optimization - Contribute ideas to shape the direction of our products and technical infrastructure Qualifications - Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 - Excellent programming skills with experience in Python, Go, or Typescript - Ability to solve problems creatively and communicate trade-offs effectively - Prior experiences through internships, hackathons, or projects - Bonus: Experience with web development, databases, distributed systems, or cloud platforms, OSS contributions. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program spans over 12 to 14 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates span between January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 an hr. Our hourly rates 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
Software Engineer Intern (Summer 2027)
Role Overview As a Software Engineer Intern, you’ll have the opportunity to work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is on-site at our HQ in San Francisco, CA and you’ll be placed into one of our engineering teams spanning Platform Engineering, Infrastructure, Inference, and more! Responsibilities - Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs - Collaborate with product managers, designers, and engineers to deliver features and improvements - Write clean, efficient, and well-documented code with a focus on maintainability - Participate in code reviews, debugging, and performance optimization - Contribute ideas to shape the direction of our products and technical infrastructure Qualifications - Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2028 - Excellent programming skills - Experience with version control systems (e.g., Git) and collaborative development workflows - Ability to solve problems creatively and communicate trade-offs effectively - Bonus: Experience with web development, databases, distributed systems, or cloud platforms, OSS contributions. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program spans over 12 weeks where you’ll have the opportunity to work with industry-leading engineers building a cloud from the ground up and possibly contribute to influential open source projects. Our internship dates are May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58/hr. Our hourly rates 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
Software Engineer, New Grad (2027)
About the Role As an early career Software Engineer, you’ll work on a variety of projects, from designing scalable systems, building product features, to optimizing performance-critical code. You’ll collaborate with cross-functional teams to build robust, user-focused solutions and contribute to our mission of delivering cutting-edge technology. This role is ideal for recent graduates with a strong foundation in software development and a passion for learning. This role is on-site at our HQ in San Francisco, CA and you’ll be placed into one of our engineering teams spanning Machine Learning, Platform Engineering, Infrastructure, and Inference. Responsibilities - Design, develop, and maintain high-quality software across our tech stack from low-level system to customer-facing UIs. - Collaborate with product managers, designers, and engineers to deliver features and improvements. - Take high autonomy over your work - own projects end to end - Participate in code reviews, debugging, and performance optimization. - Contribute ideas to shape the direction of our products and technical infrastructure. - Work on real, meaningful projects and learn from experienced professionals along the way. Requirements - Actively pursuing a degree in Computer Science, Software Engineering, or a related field, earned or expected by Summer 2027 - Solid CS fundamentals (data structures, algorithms, systems thinking) - Past hands-on experience through internships, personal projects, or previous roles - Experience with version control systems (e.g., Git) and collaborative development workflows. - Ability to solve problems creatively and communicate trade-offs effectively. - Enthusiasm for learning and thriving in a fast-paced, collaborative environment. - Bonus: Experience with web development, databases, distributed systems, or cloud platforms, OSS contributions. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $160,000 + 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
Finance Intern
ABOUT WEAVIATE Weaviate https://weaviate.io/ is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike. Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work. About this role Are you passionate about finance, operations, and technology in the dynamic world of artificial intelligence? Here's your chance to make a significant impact as we seek a talented working student to join our growing team. As we continue to expand, we're looking for a Working Student Finance to assist with our day-to-day financial operations while taking the initiative to automate and optimize processes using modern AI tools. What you'll be doing - Processing accounts payable and accounts receivable (invoices). - Managing and actively following up on queries in the central finance inbox. - Executing operational tasks and controls within expense management systems such as Pleo and Ramp. - Proactively identifying opportunities and advising on automating and optimizing financial operations using AI tools. - Supporting the finance team with various day-to-day operational and administrative tasks. What we are looking for - Available for 16 hours per week, with flexible hours (preferably set at fixed moments). - Currently pursuing at least a Bachelor's degree (e.g., in Finance, Accounting, Business Administration, or a related field). - At least 1 year of accounting experience (such as processing bank transactions and accounts payable/receivable). - Someone with advanced proficiency in Dutch, capable of working with Dutch accounting and banking systems. - Hands-on knowledge and experience with various AI tools, such as Gemini, Claude, Copilot, and ChatGPT, to enhance productivity and process efficiency. - Excellent communication and collaboration skills. - Strong analytical and problem-solving skills with a proactive, self-starter mindset suitable for an international, remote-first environment. - Eager to learn and excited to contribute to the growth and continuous improvement of Weaviate's finance function. - You are aligned with our company values https://weaviate.io/company/about-us#values. WHAT WE OFFER - 100% remote with flexible work hours. - Competitive compensation, including paid time off https://weaviate.io/company/playbook/taking-time-off-at-weaviate. - Budget available to spend on going to conferences, co-working space, home office equipment, etc. - Work with very experienced and fun team members. - An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities. - You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source. ARE YOU INTERESTED? Have a look at this page https://weaviate.io/company/careers#interview-process to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding. If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.
Systems Research Engineer Intern - GPU Programming...
Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. This internship is based on-site at our San Francisco HQ, running through the Winter term from January to April. Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span January 4th to April 9th. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates 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
Systems Research Engineer Intern - GPU Programming...
Role Overview As a Systems Research Engineer Intern specialized in GPU Programming, you will play a crucial role in developing and optimizing GPU-accelerated kernels and algorithms for ML/AI applications. Working closely with the modeling and algorithm team, you will co-design GPU kernels and model architecture to enhance the performance and efficiency of our AI systems. Collaborating with the hardware and software teams, you will contribute to the co-design of efficient GPU architectures and programming models, leveraging your expertise in GPU programming and parallel computing. Your research skills will be vital in staying up-to-date with the latest advancements in GPU programming techniques, ensuring that our AI infrastructure remains at the forefront of innovation. Responsibilities - Optimize and fine-tune GPU code to achieve better performance and scalability - Collaborate with cross-functional teams to integrate GPU-accelerated solutions into existing software systems - Stay up-to-date with the latest advancements in GPU programming techniques and technologies Requirements - Strong background in GPU programming and parallel computing, such as CUDA and/or Triton. - Knowledge of ML/AI applications and models - Knowledge of performance profiling and optimization tools for GPU programming - Excellent problem-solving and analytical skills About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Internship Program Details: Our internship program runs 12 to 14 weeks, giving you the opportunity to work alongside industry-leading engineers and researchers across multiple teams. This cohort's internship dates span either May 17th to August 6th or June 14th to September 3rd. Compensation We offer competitive compensation, housing stipends, and other competitive benefits. The estimated US hourly rate for this role is $58 to $70 an hour. Our hourly rates 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
Applied Scientist (Internship in Paris or London)
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 Mistral AI is seeking Applied Scientist Interns and Research Engineer Interns based in Korea to join our team for six months in Paris or London, and then help build our new Seoul office as full-time team members. You will develop SOTA models across different modalities such as text, image, and speech. By developing novel methods and research ideas you will apply these models across a diverse set of use cases and domains. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions that turn the needle. Location and Work Authorization This internship is based in Paris or London for 6 months, with visa sponsorship and relocation support provided by Mistral. It is designed as a pathway into our Seoul office: on completion, successful interns will be offered a full-time role in Seoul. Candidates must be based in Korea and eligible to work there after the internship. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. - Generate and curate data for pre-training and post-training, working on evaluations and making sure the model's performance beats expectations. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases using agents and retrieval pipelines. - Manage research projects and communications with client research teams. WHAT WE'RE LOOKING FOR - Fluent in English with excellent communication skills — at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn’t need roadmaps: moves independently and navigates uncertainty with confidence. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Pursuing a PhD / Master in a relevant field (Mathematics, Physics, Machine Learning) — exceptional candidates from other backgrounds welcome. - Preferred duration: 6 months. Priority to candidates about to finalise their studies. - Research experience in agents, multimodal models, world models, robotics, diffusion models, cybersecurity, 3D understanding/generation, or time-series analysis. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. 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.
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