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Data Center Electrical R&D Engineer
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. The team defines the technical direction for next-generation data centers and develops the architectures needed to support rapidly evolving AI hardware and workload requirements. Operating at the intersection of research, engineering, infrastructure, and deployment, the team translates emerging compute requirements into validated electrical designs, reference architectures, prototypes, and scalable infrastructure solutions. About the Role We are seeking an experienced Data Center Electrical R&D Engineer to develop and validate next-generation power architectures for high-density AI infrastructure. This role is focused on research, advanced design, modeling, prototyping, and technical validation rather than ongoing facility operations. You will investigate emerging electrical technologies, develop system-level architectures, and evaluate new approaches to utility integration, power distribution, backup generation, energy storage, controls, and rack-level power delivery. You will work closely with compute hardware, mechanical, controls, construction, commissioning, operations, and external technology partners. Your work will shape reusable reference designs that can move from concept and simulation through pilot testing and large-scale deployment. Key Responsibilities - Develop advanced electrical architectures for high-density AI data centers, from utility interconnection through rack-level power delivery. - Translate evolving compute-platform requirements into electrical capacity, topology, redundancy, power-quality, protection, and control requirements. - Create conceptual designs, basis-of-design documents, specifications, one-line diagrams, design standards, and reusable reference architectures. - Model electrical-system performance, capacity, efficiency, reliability, fault conditions, transient behavior, and failure scenarios. - Evaluate emerging technologies such as medium-voltage distribution, solid-state power conversion, advanced UPS systems, energy storage, alternative generation, and direct-current architectures. - Build technical and economic comparisons across competing design approaches, including reliability, efficiency, scalability, cost, constructability, maintainability, and deployment speed. - Develop prototypes, test plans, acceptance criteria, and validation frameworks for new electrical technologies and system architectures. - Lead laboratory, factory, pilot-site, and field testing to validate design assumptions and identify performance or integration gaps. - Partner with mechanical and thermal engineers to optimize power and cooling architectures as an integrated system. - Collaborate with AI hardware and compute teams to understand workload behavior, rack density, utilization, power variability, and future platform requirements. - Work with controls and software teams to define instrumentation, telemetry, protection, monitoring, and automated-control requirements. - Partner with construction, commissioning, and operations teams to ensure new designs can be safely built, tested, operated, and maintained. - Engage equipment manufacturers, utilities, engineering consultants, and research partners to evaluate capabilities and accelerate technology development. - Investigate system failures and unexpected test results, identify root causes, and translate findings into design improvements. - Document validated designs, technical decisions, operating envelopes, lessons learned, and deployment guidance. - Provide technical direction and design-review leadership across internal teams and external engineering partners. Qualifications - 10+ years of experience in electrical engineering, power-system design, data-center infrastructure, industrial power, or another critical-infrastructure environment. - Deep expertise in electrical power distribution, including medium- and low-voltage systems, substations, transformers, switchgear, protection, UPS systems, generators, and rack-level power delivery. - Demonstrated experience developing electrical designs for large, complex, or high-availability facilities. - Strong understanding of power-system modeling, short-circuit analysis, load flow, coordination studies, arc-flash analysis, power quality, grounding, and reliability. - Experience translating uncertain or evolving technical requirements into testable engineering concepts and system architectures. - Experience designing experiments, prototypes, pilots, or validation programs for new equipment or infrastructure technologies. - Ability to reason across electrical, mechanical, controls, compute hardware, construction, commissioning, and operational boundaries. - Experience evaluating engineering tradeoffs using quantitative analysis, simulation, testing, and field data. - Strong technical writing and communication skills, including the ability to explain complex engineering decisions to technical and executive audiences. - Experience directing engineering consultants, equipment manufacturers, and external technology partners. - Bachelor’s degree in electrical engineering or a related engineering discipline. Preferred Skills - Master’s degree or PhD in electrical engineering, power systems, power electronics, energy systems, or a related field. - Professional Engineer license or equivalent professional certification. - Experience supporting high-density data centers, AI infrastructure, semiconductor manufacturing, advanced industrial facilities, or hyperscale computing environments. - Experience with ETAP, SKM, EasyPower, PSCAD, MATLAB/Simulink, or comparable power-system analysis tools. - Experience with power electronics, energy storage, microgrids, alternative generation, or advanced grid-interconnection technologies. - Familiarity with digital twins, hardware-in-the-loop testing, real-time simulation, and data-driven infrastructure optimization. - Experience carrying a new technology from research or prototype through qualification, commissioning, and scaled deployment. - Knowledge of electrical codes, utility requirements, safety standards, and regulatory requirements across multiple geographies. - Published research, patents, technical standards contributions, or demonstrated invention in electrical or critical-infrastructure systems. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Customer Success Manager - Ads Solutions (Spanish...
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role We’re looking for a Customer Success Manager to support advertisers in onboarding, launching, and growing on OpenAI’s advertising platform. You will manage a portfolio of partners and serve as a trusted advisor, helping them achieve their business objectives while ensuring a strong and responsible experience on our platform. This role sits at the intersection of relationship management, strategy, and execution. You’ll work closely with Sales to drive long-term partner growth and with internal teams to continuously improve the advertiser experience. This role is based in our Dublin office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Own relationships with a portfolio of advertising partners, serving as their primary point of contact. - Guide advertisers through onboarding and campaign launches to ensure strong adoption of OpenAI’s ads products. - Analyze campaign performance and provide clear, actionable recommendations to improve outcomes. - Identify opportunities to expand partnerships through increased product adoption and incremental investment. - Partner cross-functionally with Sales, Product, Analytics, Policy, and Operations to resolve issues and enhance platform value. - Surface advertiser feedback and insights to inform product improvements and long-term strategy. - Help build scalable processes and best practices that support the growth of OpenAI’s advertising ecosystem. You might thrive in this role if you: - Have 5-10+ years of experience in digital advertising, account management, customer success, consulting or a related client-facing role. - Have experience managing advertiser or agency relationships in a platform, publisher, or adtech environment. - Are comfortable interpreting performance data and translating insights into strategic recommendations. - Have experience with data querying (e.g. SQL, advanced excel/GSheet) - Communicate clearly and build trust with both technical and non-technical stakeholders. - Operate with ownership and accountability in fast-moving, evolving environments. - Demonstrate sound judgment and a commitment to user trust and responsible platform growth. - Spanish language fluency is required for this role. - Full working rights for Ireland. 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.
Culture & Community Communications lead
About the Team OpenAI’s Product & Research Communications team helps people understand our technology, what it makes possible, and how to use it. We bring new products and research to the world and tell stories about the people making these tools their own. We work closely with our Culture & Community Engagement team to connect our products with people’s interests, ambitions, and everyday lives. Together, we help more people discover what they can create, learn, and do with AI—and bring their experiences back into how we communicate. About the Role We’re looking for a Community Communications Lead to bring OpenAI’s products closer to communities and help their stories reach a wider audience. Sitting on the Product & Research Communications team, you’ll work hand in hand with the Culture & Community team to shape narratives, develop earned media opportunities, and amplify community-driven stories across organic communications channels. You’ll be involved from the beginning of campaigns and community programs, bringing ideas that strengthen the story, cultural relevance, and opportunities for participation. Working closely with Culture & Community Engagement leaders, you’ll contribute communications strategy while respecting their ownership of campaign and creative decisions. You’ll also connect individual campaigns, partnerships, and community moments into a broader story that develops over time. You’ll have the judgment to know when the work has earned a larger conversation—and the relationships and storytelling skills to make it happen. We’re looking for someone with cultural curiosity, strong editorial taste, initiative, judgment and an entrepreneurial approach. You understand what makes people care and how community trust is built. You keep our claims grounded, can navigate skepticism about AI and understand how a story can invite people to take part. This role can be based in San Francisco or New York. 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: - Be in the room as we shape the narrative. Help develop the story, cultural angle and earned comms opportunity from the beginning. Bring ideas that make the campaign itself stronger. - Think beyond a campaign to connect the multiple beats/campaigns into one overarching narrative for our Culture & Community Engagement team that resonates with press and creators. - Help AI move from subculture into pop and mass culture. Have the instincts and relationships to reach people through sport, music, design, food, fandom, etc. Understand what makes those audiences care and where they get their information. Build relationships with journalists, creators and cultural voices. - Find the stories inside our communities. Work closely with the community team to surface compelling builders, small businesses, students and unexpected people making the tools their own. Help them tell stories in their own voices, grounded in what they’re trying to achieve. - Make participation part of the story. A big ambition for us is giving people and communities things to create, learn and do together. Understand how storytelling can invite more people into that experience and how community contributions become the next chapter. - Sustain an ongoing narrative. Build a rhythm of stories across creator campaigns, community programs and partnerships. Keep the work interesting over months, through earned media and OpenAI’s communications channels. - Develop pitches, features, spokesperson opportunities, and channel content that connect individual stories to a larger narrative, supported by the work and its results. - Connect the work globally. Partner with regional comms and our territory leads so we have a clear shared story with locally relevant voices and cultural angles, supported by local examples. - Bring community perspectives and feedback into product communications planning, helping the team understand what resonates, what needs explanation, and where new stories are emerging. You might thrive in this role if you: - Have experience leading communications for consumer brands, cultural campaigns, creator initiatives, or community programs, with a track record of earning meaningful attention. - Have strong cultural instincts and relationships beyond technology media. You understand what different audiences care about, whom they trust, and where they get their information. - Are an excellent writer and editor who can find the larger story across several moments without losing the details that make each one distinctive. - Bring ideas early, have a clear point of view, and make work stronger through thoughtful collaboration. You can influence a direction while respecting others’ decision-making responsibilities. - Know how to work with community members and creators so their stories feel authentic, reflect their goals, and preserve their voices. - Think beyond announcements. You can build a narrative over months and recognize when there is enough substance for a deeper story. - Combine creative ambition with strong organization and follow-through. You can manage multiple programs, work independently, and adapt quickly as priorities change. - Build trusted relationships across communications, community, marketing, product, and regional teams. - Are curious about AI and how people use it, with a commitment to communicating both its possibilities and limitations accurately. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Creative Partnerships, Onboarding and Enablement M...
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. The Creative Partnerships team supports that mission by building trusted relationships with creators, experts, and organizations to help them explore valuable uses of AI. We work across OpenAI to develop partnerships grounded in trust, usefulness, and measurable impact. Our work goes beyond individual launches and includes product education, partner feedback, and collaborative programs that create lasting value for partners and OpenAI. About the Role We’re looking for an experienced partnerships leader to develop and scale high-touch onboarding and enablement experiences for creators, brands and institutions. You will help partners move from initial curiosity to meaningful, hands-on use of OpenAI’s products. This includes understanding their work and ambitions, designing tailored onboarding experiences, helping them develop authentic use cases, and ensuring they have the support needed to engage confidently over time. You will serve as a trusted bridge between external partners and teams across OpenAI. You’ll translate product capabilities into relevant creative possibilities, bring actionable feedback and cultural insights back to the company, and develop an operating model that combines highly personalized support with the systems needed to scale. In this role, you will: - Define the strategy, partner journey, operating model, and quality bar for high-touch onboarding, creating clear pathways from introduction and education to experimentation, adoption, and long-term engagement. - Design and lead tailored onboarding sessions, workshops, product demonstrations, and ongoing enablement that help creators, brands, institutions and their teams apply OpenAI’s products to their work. - Learn how each partner works and develop authentic use cases aligned with their creative goals, audiences, and values, helping turn early experimentation into compelling examples of creativity, expression, and connection. - Serve as a consistent, trusted point of contact for partners and their representatives, anticipating needs, resolving challenges, and providing thoughtful support with discretion, care, and sound judgment. - Partner with internal teams to explore broader collaborations where there is strong mutual value and authentic alignment. - Bring actionable product feedback, emerging behaviors, creative workflows, and cultural insights to Product, Research, Marketing, Communications, Policy, and other teams. Help stakeholders understand partner needs and identify recurring opportunities or friction points that could inform product development and company strategy. - Create feedback loops that show partners how their perspectives are heard and acted upon. - Develop playbooks, enablement materials, partner briefs, follow-up plans, escalation paths, and reusable resources that balance personalized engagement with repeatable systems. - Establish clear ownership and handoffs across Partnerships, Product, Marketing, Communications, Legal, Policy, and Support as the program scales. - Define and track meaningful measures of success, including partner engagement, time to activation, depth of use, relationship health, actionable product feedback, and partnership outcomes. Use qualitative and quantitative insights to improve, expand, and scale the program. You might thrive in this role if you: - Have 10+ years of experience in creator or talent partnerships, strategic partnerships, platform partnerships, product enablement, client services, or another highly relationship-driven field. - Have experience supporting creators, brands, or other high-profile partners and their representatives. - Build exceptional relationships through the judgment, discretion, and responsiveness required to earn trust over time. - Bring strong cultural fluency and a nuanced understanding of how creators, talent, platforms, and communities influence one another. - Translate complex or emerging technology into clear, relevant, and inspiring possibilities for non-technical audiences. - Develop authentic use cases around a partner’s real goals rather than applying a one-size-fits-all approach. - Align cross-functional stakeholders, manage dependencies, and create clarity in ambiguous environments. - Communicate and facilitate effectively, whether leading intimate working sessions or engaging senior and high-profile audiences. - Bring hands-on fluency with AI products and curiosity about how they can support creative work, expression, and connection. - Have strong program-management discipline, including experience developing workflows, standards, measurement, and scalable resources. - Move comfortably between highly personalized partner engagement and the behind-the-scenes operational work required to deliver it well. - Take a thoughtful, data-informed approach and distinguish surface-level engagement from durable trust, meaningful adoption, and genuine partnership potential. 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.
Core Operations Lead, Community & Culture
About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe our research will eventually lead to artificial general intelligence, a system that can solve human-level problems. The Community & Culture Engagement team helps people discover, use, and advocate for OpenAI’s tools through community programs, social storytelling, creator partnerships, and cultural experiences. Our work connects OpenAI with the people and communities who bring its technology into everyday life. As the team grows across disciplines and markets, we need shared foundations that connect our work, make priorities clear, and help us deliver with speed and care. About the Role We’re looking for a senior operations leader to own Community & Culture’s integrated operating model. You will build and own the infrastructure that enables the team to operate as one and execute at a consistently high standard. You are accountable for keeping the plans funded, staffed and executable as priorities change. You will establish the shared practices, clear accountability, and reliable information that allow leaders to make sound decisions and teams to deliver on their commitments. This is a senior leadership role that combines organizational judgment with hands-on building. Working closely with Community & Culture leadership and partners across OpenAI, you will turn strategy into practical operating plans, anticipate risks, and guide decisions about where we invest and how we staff the work. You will build systems people trust and use, adapting them as priorities and the organization evolve. This role is based in San Francisco, CA or New York. 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: - Establish and own Community and Culture’s integrated operating model. This includes overseeing and building practical tools and workflows for financial management, resourcing, and operating reviews. - Own the team’s financial operating system. In partnership with Finance, Marketing, Partnerships and Comms leads, establish a consistent approach to budgeting, forecasting, spend approvals, and reporting across central and international teams. Maintain a trusted view of planned, committed, and actual spend. Responsible for driving tradeoff decisions, investment shifts and reallocation where needed. - Establish clear governance across the team. Define decision rights, build and own approval processes, clarify program ownership and appropriate handoffs to partner teams, and create clear escalation paths across the team. - Lead resourcing and capacity planning. Translate priorities into plans for full time, freelance, and agency remits. Identify gaps in skills and capacity, develop hiring and investment recommendations, and guide leaders through tradeoffs about where to add, shift, or sequence resources. - Build and own reliable agency and vendor operations. Partner with Procurement, Legal, and Finance to establish clear processes for scopes of work, contracts, onboarding, purchase orders, and renewals. Ensure external commitments have clear owners, funding, and expectations. Guide and hold teams accountable to measurable outcomes from pilot programs. - Raise the standard of operational execution. Establish meaningful measures of forecast quality, planning reliability, capacity, and follow-through. Anticipate issues before they affect delivery and lead improvements as the team grows. You might thrive in this role if you have: - 10+ years of experience in operations, business operations, or a related discipline, including senior leadership responsibility for a complex, growing organization. - A successful track record of owning budgets, forecasts, and financial planning processes, with the judgment to help senior leaders weigh competing investments and resource needs. - Experience building governance and ways of working that have been adopted across multiple teams, with clear improvements in accountability and execution. - Experience leading workforce and capacity planning across employees, contractors, and agencies, and translating business priorities into practical staffing decisions. - Sound judgment in ambiguity. You make progress with incomplete information, adapt as priorities change, and know when a problem calls for a conversation, a decision, or a better process. - The ability to move between organizational strategy and detailed execution. You are comfortable shaping an operating model, working through a budget or staffing plan, and staying accountable through implementation. - An understanding of creative, community, marketing, or other relationship-driven teams. Experience supporting international teams is valuable. 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.
Commercial Counsel - Brazil
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. What we offer - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working : If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role We are seeking an experienced Commercial Counsel to join our Legal Team in Brazil. In this role, you will support complex commercial transactions with a primary focus on Brazil and support for other LATAM countries, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. Responsibilities - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in Brazil, with support for other LATAM countries, including enterprise customer contracts - Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives. - Monitor and interpret evolving country specific legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment. - Develop, maintain, and localize contract templates, playbooks, and policies to reflect local requirements and industry best practices. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. Who you are - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. - Hunger to be exceptional at your job. What you bring - Law degree and qualification to practice law in Brazil. - Native-level Portuguese and fluent English; Spanish is strongly preferred. - 7+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex commercial and technology agreements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience advising on privacy, cybersecurity, and cross-border data transfer issues. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines Location This role is remote, so it can be executed from anywhere in Brazil. However, we prefer candidates based in Sao Paulo, Brazil. LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Regional Director, Forward Deployed Engineering -...
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. About the role Our Forward Deployed Engineers (FDEs) don't advise from the sidelines. They embed with customer teams, build production-grade AI coding workflows alongside them, and leave behind habits that keep paying off after the engagement ends. As Regional Director, you'll lead and scale this team across our most important public sector customers, own engagements from technical discovery through delivery, and build the partner track that extends this work through GSIs and consulting firms. Success is measured by what's different in a customer's org at day 30, not by what got shipped. Responsibilities - Build and lead a team of FDEs in your region: hire, set clear technical performance standards and career paths, and coach the team on scoping and delivery of FDE engagements - Own scoping for PubSec FDE projects: run discovery and architecture reviews, surface integration and infrastructure constraints, and turn ambiguous customer problems into time-boxed proposals with clear ROI for six- and seven-figure engagements. - Hold the delivery quality bar across your team's engagements: tight scoping, milestone tracking, technical standards, and clean handoffs to customer engineering teams. - Serve as executive technical sponsor and primary customer point of contact on your region's highest-priority engagements, owning delivery and the relationship from IC engineers to the C-suite, and stepping in directly where the stakes are highest. - Generate product feedback loop with Product and Engineering with enough detail to drive roadmap decisions, and turn what works into reusable solutions and product surface areas for all customers. - Contribute to the launch and scaling of the PupSec partner FDE track: train and enable GSI and consulting partners, and hold them to the same quality bar as the in-house team. Basic Qualifications - Experience directly managing a team of engineers who build and ship production software - Professional software development experience in Python, JavaScript, or TypeScript - Experience building and deploying AI-powered workflows in production environments Preferred Skills and Experience - U.S. citizenship required. Active security clearance (Public Trust, Secret, Top Secret, or TS/SCI) or ability to obtain one. - Leadership experience in forward deployed engineering, data science, machine learning engineering or software engineers - Debugging model failures in production AI systems - Scoping six- and seven-figure technical engagements with Sales and presenting them to C-suite and engineering leadership buyers - Enabling GSI or consulting partners to deliver technical engagements
Strategy and Operations Lead, Creative Partnership...
About the Team The Creative Partnerships function builds trusted relationships with influential people, brands and institutions across entertainment, sports, fashion, music, media, publishing, and the creator economy. Working closely with Product, Marketing, Communications, Legal, Policy, Safety, Finance, Procurement, and other teams across OpenAI, the function creates responsible, culturally resonant programs that help people understand and use AI. About the Role Creative Partnerships moves quickly across a wide range of priorities, and this role will sit close to both the leadership and the work. We’re looking for a highly strategic, analytical, and collaborative Strategy and Operations Lead to partner with the Creative Partnerships leadership team. You will translate complex priorities into clear decisions, plans, and operating rhythms. You’ll help leadership determine where the team should focus, connect its ambitions to the resources and investments required to deliver them, and ensure decisions turn into coordinated action. You will maintain a clear view of the team’s priorities, portfolio, budget, headcount, partnerships, and organizational needs. You’ll work closely with Creative, Production, Brand Marketing, Resource Management, Strategic Finance, Procurement, Recruiting, People, Legal, and external partners to surface tradeoffs, resolve constraints, and keep important work moving. This role is for someone who enjoys operating close to the work. This role is based in San Francisco, CA. We use a hybrid work model with in-office collaboration Monday through Wednesday and offer relocation assistance to new employees. In this role, you will: - Serve as a strategic and operational partner to the Creative Partnerships leadership team, helping translate priorities into clear plans, decisions, and follow-through. - Design and run the team’s core operating rhythms, including planning cycles, business reviews, leadership meetings, decision forums, offsites, and cross-functional communications. - Maintain a clear and trusted view of the team’s active and upcoming work, organizational commitments, dependencies, capacity, and risks. - Help leadership prioritize opportunities against Creative Partnerships’ goals, evaluate competing requests, and determine where to invest, reduce, defer, or redirect resources. - Lead annual and half-year planning, goal setting, roadmap development, and progress reviews, connecting strategic priorities to the people, budget, and operating support required to deliver them. - Own the leadership process for headcount, organizational planning, and resource requests. - Partner with Resource Management and Production to anticipate staffing and capacity needs, evaluate internal and external options, and identify delivery risks early. - Establish the team’s partnership with Finance and program owners to maintain visibility into allocations, forecasts, commitments, actuals, and material risks. - Develop scenarios and analyses that clarify the costs, expected value, resource requirements, and operational implications of proposed programs and partnerships. - Lead strategic and cross-functional initiatives that help Creative Partnerships scale, including operating-model design, portfolio management, role clarity, partner strategy, and new programs built from zero to one. - Organize working teams around complex priorities by establishing owners, decision rights, milestones, dependencies, and effective working rhythms. - Create concise executive communications, recommendations, decision memos, and operating materials that help leaders understand complex issues and align quickly. You might thrive in this role if you: - Bring 10+ years of experience in Strategy and Operations, Business Operations, Chief of Staff, management consulting, or a related strategic operating role in a fast-moving organization. - Have served as a trusted partner to senior leaders, helping them set priorities, evaluate tradeoffs, communicate decisions, and maintain organizational alignment. - Have experience building planning processes, leadership cadences, portfolio systems, and operating models from zero to one. - Can translate ambiguous or incomplete inputs into structured recommendations, practical plans, and clear ownership. - Have led complex cross-functional initiatives from initial definition through implementation and sustained operations. - Bring strong financial and analytical fluency, including experience with budgets, forecasts, investment scenarios, resource allocation, and organizational planning. - Can distill complex information into concise, executive-ready narratives. - Can build trust across creative, operational, financial, and business teams and influence decisions without relying on formal authority. - Understand the people, partners, budgets, and production considerations behind ambitious creative work without needing to be the person setting the creative vision. - Bring an AI-native builder mindset and look for practical ways to make planning, reporting, decision-making, and coordination simpler and more useful. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer
About the Team We build software that helps understand and reduce risks from increasingly capable AI systems. Our work spans cybersecurity, frontier-risk evaluations, and red teaming, with a focus on turning research and testing into practical tools and reliable systems. We collaborate across research, engineering, and security to investigate model capabilities, identify potential failures, and develop ways to evaluate and improve safeguards. About the Role We’re looking for a Software Engineer to build the tools and infrastructure that support this work. You’ll partner closely with researchers and other engineers to translate evolving questions into useful software—from early prototypes to systems that teams can depend on. Projects may include backend services, evaluation infrastructure, data pipelines, and internal applications for running tests, investigating model behavior, and reviewing results. This is a general software engineering role with room to contribute across the stack and develop deeper expertise in AI safety and security. In this role, you will: - Design, build, and maintain software that supports cybersecurity research, frontier-risk evaluations, and red teaming. - Develop tools and workflows that make it easier to run evaluations, inspect results, and investigate failures. - Build services, APIs, data pipelines, and interfaces that help researchers work efficiently. - Turn experimental workflows into reusable, well-tested, and documented systems. - Own projects from understanding the problem and designing a solution through implementation, deployment, and ongoing operation. - Improve reliability, performance, observability, security, and usability as needs evolve. - Collaborate with researchers, security specialists, and engineers to identify useful problems and make practical technical decisions. You might thrive in this role if you: - Have strong software engineering fundamentals and experience building, shipping, and maintaining production software. - Are proficient in a general-purpose programming language and comfortable learning unfamiliar tools and systems. - Have experience in one or more areas such as backend development, full-stack applications, infrastructure, or data systems. - Can take an open-ended problem, clarify what matters, and deliver a useful solution. - Balance rapid iteration with maintainable design and operational reliability. - Communicate clearly and enjoy working with people across technical disciplines. - Are interested in understanding advanced AI systems and helping address their risks. - Experience with security, developer tools, research infrastructure, evaluation platforms, distributed systems, or AI applications would be valuable. Prior AI research or cybersecurity experience is helpful but not required. 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, Supplier MDM Operations
About the Team OpenAI’s Procurement team makes working with the world easy, fast, and safe. We connect supplier readiness, purchasing, invoicing, and payment so teams can move with confidence as OpenAI scales. Accounts Payable and Supplier Master Data Operations provide the trusted data, dependable execution, and financial discipline behind that experience. About the Role The Senior Manager, Supplier MDM Operations will own the end-to-end supplier operation that makes data accurate, verified, and ready for purchasing and payment. Reporting to the Supplier MDM Lead, you will set operating priorities, lead delivery, and be accountable for service, data quality, sensitive-change controls, and capacity. You will build an operation that scales across procurement and financial systems while creating protected capacity for the lead’s governance and transformation work. We’re looking for a hands-on senior leader who turns ambiguous problems into clear decisions, develops people, and delivers lasting improvements. You will balance supplier readiness, risk, and capacity; resolve complex escalations; and use practical automation to help teams move faster with reliable data. Location: San Francisco, CA. This role follows a hybrid work model, with three days per week in the office (Monday–Wednesday). Recruiting to confirm relocation and travel requirements. In this role, you will: - Own supplier onboarding and maintenance across identity, legal entities, sites, tax documentation, authorized contacts, payment methods, and banking information; set service standards and take accountability for results. - Set the operating and capacity plan across demand, handling effort, backlog, and coverage. Prioritize work, quantify tradeoffs, and assign qualified owners and backups based on skills, access, confidentiality, and independent verification responsibilities. - Own operational execution of sensitive-change controls, including independent identity and authority verification, documented evidence, qualified employee review, and backup coverage. Maintain segregation of duties across preparation, approval, implementation, invoice processing, and payment approval. - Lead and develop the operating team and eligible service partners through clear goals, coaching, performance management, cross-training, and quality review. Use contractors for surge capacity and match assignments to approved access and scope. - Lead resolution of complex supplier-data and synchronization failures with AP, Procurement Operations, Tax, Treasury, Security, and Finance Systems. Establish the accountable owner, verify the fix across systems, and remove recurring causes. - Direct supplier-data remediation, including hierarchies, entity/site relationships, duplicates, holds, inactivation, and reactivation. Reconcile open obligations and validate downstream effects before changes take effect. - Own the operating scorecard for first-pass readiness, critical-field completeness, queue aging, supplier wait time, rework, control evidence, and change-related payment exceptions. Use trends to set priorities and demonstrate sustained improvement. - Establish an operating cadence and decision framework with the Supplier MDM Lead that protects transformation time, maintains reliable coverage, and turns recurring operational issues into prioritized improvement requirements. - Deliver measured improvements through AI and automation for validation, duplicate detection, queue monitoring, and evidence preparation. Define quality thresholds, access boundaries, human approvals, monitoring, and fallback procedures; count capacity gains after they are demonstrated. You might thrive in this role if you: - Bring substantial supplier master data, P2P, or finance operations experience, with a track record of independently leading a complex operation and developing people or managing service delivery at scale. - Apply deep knowledge of supplier identity, legal entities, sites, tax and payment data to improve purchasing and payment outcomes across systems. - Have owned operating controls in an audited environment, including segregation of duties, independent verification, evidence quality, and remediation of control gaps. - Make sound decisions under ambiguity and time pressure, translate business needs into practical options, and resolve escalations across teams with clear accountability. - Have worked deeply with ERP and procurement workflows and can trace data across systems; Oracle and Zip experience is helpful. - Build capacity plans and service measures, coach teams through performance issues, and show sustained improvements in throughput, quality, backlog, and resilience. - Bring practical AI fluency and experience improving workflows with automation, with measurable benefits and authorized human ownership of sensitive decisions. - Influence senior stakeholders and build trust across Procurement, AP, Tax, Treasury, Security, and technology teams through clear recommendations, tradeoffs, and follow-through. 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.
Project Manager, Design and Construction - R&D/Lab...
About the Role As an Industrial Builds Project Manager on the Design & Construction team, you will support OpenAI’s research, scaling and manufacturing activities by providing project management and leadership on mission critical construction projects with complex engineering design and extensive interfaces. This role owns technical coordination across MEP, civil/structural, and architectural scopes, and is accountable for on-time, on-budget delivery of complex build-outs. This role is based in San Francisco, CA, but you will be expected to travel to project sites regularly, aligned with project requirements. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Lead full lifecycle execution of a range of infrastructure and facilities build-out projects simultaneously, including advanced compute facilities, labs, testing environments, and production spaces. - Own detailed project estimating, budgeting, and financial analysis to ensure fiscal responsibility and efficiency. This includes securing capital funding - Engage, contract and drive external partners (architects, contractors, construction managers and other consultants) to deliver mission-critical projects on accelerated timelines - Collaborate closely on projects with internal teams like Real Estate, Operations, Corporate Security, IT/AV, EH&S, stakeholder team and Finance - Partner closely with Leasing on site selection, providing due diligence and cost forecasting to support site acquisition - Own the relationship with internal clients and executives, driving engagement, alignment, and decision-making. - Develop and oversee technical due diligence efforts for each project, which may include technical assessments, AHJ coordination, utility requirements and feasibility studies. - Develop and review concept designs, which will define programming that is aligned with all stakeholders and guide design development. - Review and contribute to design drawings, mechanical and electrical layouts, utility diagrams, specifications, and technical documentation. You might thrive in this role if you: - Have 8+ years of experience delivering infrastructure projects in a fast-paced, hyper-scaling environment - Bring a background in architecture, interior design, construction project management and Experience collaborating with engineering disciplines (MEP, structural, building systems) - Possess deep expertise in construction budgeting, forecasting, and financial analysis , with the ability to communicate cost drivers to non-technical stakeholders. - Excel at building and leveraging relationships with external vendors, consultants, GCs, and internal teams , and can drive accountability across disciplines. - Demonstrate strong leadership, ownership, and collaboration skills , with the ability to align diverse teams toward a unified project vision. - Bring a collaborative and motivating approach to finding solutions rapidly. - Lead vendor management and contract administration, including sourcing, negotiating, and managing agreements to ensure compliance, cost-effectiveness, and alignment with project goals - Are an exceptional communicator—clear, concise, and confident in written, verbal, and large-group presentation settings , including with senior executives and high-level stakeholders. - Have led multiple concurrent projects across geographies , with a track record of delivering on time, within budget, and to a high design standard. - Thrive in a high-performance, fast-paced culture where time, energy, and attention to detail are in constant demand across multiple priorities and projects. 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.
Field Service Engineer
About the Team OpenAI's infrastructure teams design, build, activate, and operate the critical systems that support large-scale AI compute. Field Service Engineering partners across design, construction, commissioning, site operations, hardware operations, and equipment providers to turn complex infrastructure into safe, reliable, and serviceable systems. About the Role We are seeking a senior, field service engineer to build the technical operating model responsible for critical electrical and mechanical infrastructure across our data center portfolio. This is a field-oriented electrical & mechanical engineering role, not a traditional facilities operations position. You will combine deep systems understanding in data center power and cooling systems to aid in SOO, design, maintenance & operability, troubleshooting and other engineering related responsibility around key equipment. The role will include leveraging training and experience to establish standards, develop people, coordinate vendors, and drive issues from design, first principles, first signals through verified resolution. The strongest candidates will have deep expertise in either electrical and mechanical systems and strong working fluency across the other discipline (e.g. controls, business acumen). Remote - travel 50% Key Responsibilities - Lead field support for startup, commissioning, troubleshooting, repair, and reliability improvement across critical data center infrastructure. - Serve as the senior technical owner for transformers, switchgear, UPS systems, generators, PDUs, protection and controls, chillers, cooling towers, pumps, CDUs, CRAH units, and associated control systems. - Diagnose complex failures across power, cooling, controls, and hardware interfaces; distinguish symptoms from root causes and drive corrective actions through validation. - Build the field service operating model, including staffing recommendations, coverage, escalation paths, response expectations, spare-parts strategy, documentation, and performance metrics. - Aid in hiring, development, and coaching other field service engineers and technicians while creating a culture of safety, technical rigor, accountability, and continuous learning. - Partner with design, construction, commissioning, site operations, and hardware teams to improve maintainability, readiness, and lifecycle reliability. - Manage OEM and service-provider relationships, technical escalations, repair plans, warranties, and sustained corrective action. - Establish and improve safe work practices, including lockout/tagout, switching and maintenance procedures, MOPs, SOPs, EOPs, and incident response. - Translate field learning into design feedback, preventive maintenance improvements, training, and reusable standards. Qualifications - 8+ years of hands-on experience supporting critical electrical, mechanical, or electromechanical infrastructure in data centers, industrial facilities, utilities, manufacturing, or similarly complex environments. - Deep technical expertise in at least one discipline, electrical or mechanical, with demonstrated ability to troubleshoot across electromechanical and controls boundaries. - Experience building, leading, or materially developing a field engineering, service, maintenance, or technician team. - Demonstrated success leading high-severity troubleshooting, root-cause analysis, corrective action, and reliability improvement. - Ability to read and use one-line diagrams, schematics, P&IDs, sequence-of-operations documents, control diagrams, equipment manuals, and commissioning records. - Strong safety judgment and experience working under formal energization, isolation, maintenance, and change-control procedures. - Clear written and verbal communication with engineers, technicians, vendors, construction teams, and senior stakeholders. - Ability to travel up to 50% and support planned or urgent field activity when required. - Bachelor's degree in engineering or a related technical field, or equivalent practical experience. Preferred Skills - Experience with hyperscale data centers, high-density compute infrastructure, or other mission-critical environments. - Experience bringing new sites from construction and commissioning into steady-state operations. - Working knowledge of BMS, EPMS, SCADA, PLC, or other infrastructure monitoring and controls platforms. - Experience establishing service programs, readiness criteria, technical training, or fleet-wide reliability standards. - Relevant electrical, mechanical, HVAC, controls, safety, or trade certifications. 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.
Counsel, Employment
About the Team OpenAI’s Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals with expertise spanning technology, AI, privacy, IP, corporate, employment, tax, regulatory, and litigation. If you’re passionate about meaningful and unique work as a technology lawyer, this team is for you. About the Role We are seeking an employment lawyer to help build the legal foundations for OpenAI’s next stage of growth. Working closely with our employment counsel team and colleagues across the company, you will shape practical approaches to challenging employment issues in a fast-growing AI company. This is a hands-on role for a thoughtful lawyer who enjoys variety, moves quickly, and wants to help build a strong employment legal function as the business scales. You will collaborate with experienced employment counsel on US and international employment issues, the employment aspects of mergers and acquisitions, and emerging questions about AI in the workplace. A central part of your work will be turning lessons from individual matters into practical policies, guidance, and approaches that work at scale. You will also own stakeholder relationships and manage counseling matters, exercising sound judgment and taking responsibility for outcomes. You will join a bright, collaborative team that values initiative and shared learning, with opportunities to learn from senior colleagues, deepen your expertise, and take on increasingly complex matters over time. 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: - Help shape OpenAI’s employment legal approach as the company scales, developing practical policies, playbooks, and processes that address recurring issues and support sound, timely decisions. - Collaborate with senior employment counsel and cross-functional partners on a broad range of US employment matters, including recruiting and hiring, performance management, employee conduct, leaves of absence, accommodations, and separations. - Own designated stakeholder relationships and counseling matters, providing clear, practical advice and working independently while drawing on the team’s experience and judgment as appropriate. - Advise on international employment matters and support the employment aspects of mergers and acquisitions, including diligence and workforce integration, collaborating with local and specialist counsel as appropriate. - Partner on strategic projects and emerging legal questions, including the use of AI in employment and workplace practices. - Translate legal developments and lessons from your work into useful guidance, training, brown bags, and office hours for stakeholders across the company. - Manage employment disputes, administrative charges, and related matters in collaboration with colleagues and outside counsel, as appropriate. - Draft and negotiate employment documents and agreements, and identify practical ways to strengthen how the company handles employment matters as it grows. You might thrive in this role if you: - Have 7+ years of relevant employment law experience at a law firm, an in-house legal team, or a combination of both, with a record of excellent work and increasing responsibility. - Have strong knowledge of US employment law, including California law, and sound judgment in advising on a broad range of workplace matters. - Analyze unfamiliar issues quickly and translate complex legal requirements into clear, practical recommendations that account for business needs and employee experience. - Enjoy building in a fast-growth environment: spotting gaps, developing practical solutions, and seeing them through to implementation. - Bring initiative, a strong work ethic, and consistent follow-through; manage competing priorities and deliver high-quality work at a fast pace. - Take ownership of your work, welcome feedback, and value the opportunity to learn from experienced colleagues; exercise sound judgment about when to act independently, collaborate, or escalate. - Build trusted relationships through clear communication, discretion, and empathy, and contribute to a collaborative team that shares knowledge and supports one another. - Are curious about technology, comfortable with ambiguity, and motivated by OpenAI’s mission. - Have a JD and are licensed or qualified to practice in California. Preferred Qualifications - Experience advising on international employment matters and the employment aspects of mergers and acquisitions. - Experience providing AI-specific employment law advice, including advising on AI enablement, automation, and employee privacy in workplace or product contexts. 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 Marketing Lead, Enterprise
At Scale, we develop reliable AI systems for the world’s most important decisions. Scale’s product marketing team is responsible for developing and executing strategies that drive awareness and engagement for Scale’s offerings amongst our core audiences. We take a data-driven approach to understand our customers’ needs and challenges, ensuring that their voices are reflected in product development and messaging. We partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. We aim to provide valuable insights and resources that help our customers execute on their AI transformation journey. This role will focus on developing and optimizing vertical-specific messaging and content for Scale’s applications business to ensure our messaging resonates with core buyers across verticals. The ideal candidate combines strategic thinking with hands-on execution. You will: - Own go-to-market and marketing for financial services and lead the launch of new verticals for Scale’s applications business - Develop clear, compelling positioning and messaging for key personas in each vertical, including executive, technical, and business buyers - Partner with sales leaders to build and maintain sales plays, battlecards, and enablement that sellers use in active deals, and support live pursuits with tailored messaging and executive briefings - Create marketing assets, including decks, one-pagers, videos, blog posts, and web content, that communicate our value to vertical leaders and support our sales team’s pursuits - Design and run integrated campaigns and account-based programs in partnership with sales, field marketing, growth marketing, product, and comms, and contribute directly to pipeline targets - Work with field marketing and events teams to build vertical event strategies, content, and experiences that drive engagement with customers and target accounts - Build the repeatable playbook for taking a new vertical to market, and make the case for where Scale invests next - Measure what is working across verticals and accounts, and report on pipeline and program impact to sales and marketing leadership Ideally you'd have: - 6+ years of product marketing, industry marketing, or segment marketing experience in B2B enterprise environments, with experience in financial services or another regulated industry (financial services preferred) - A track record of building sales plays, deal support, and enablement alongside sales leaders, and of running ABM, field, or campaign programs tied to pipeline - Experience launching or scaling a new vertical or segment, or a clear record of taking a second market to launch faster than the first - An understanding of AI/ML technology and/or an intuition for how to build content for executive buyers, IT, and business users - The ability to prioritize across several priorities, say no, and influence across functions and levels, including executives, without direct authority - Excellent written and verbal communication, storytelling, and analytical skills, with strong attention to detail Nice to haves: - Experience marketing AI, data, or developer platform products to enterprise buyers - Experience launching a new vertical at a platform company - Experience working with analyst relations teams - Experience with customer marketing, including case studies, testimonials, and customer event participation Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $190,000 - $238,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Program Manager, Grants & Project Operations
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. The Program Manager, Grants & Project Operations supports the successful execution of government-funded R&D projects and strategic initiatives at SambaNova Systems Japan GK. This role serves as a key coordination point among technical teams, management, headquarters, research partners, customers, and funding agencies. The position focuses on project operations, grant administration, documentation, reporting, and stakeholder coordination to support efficient and compliant project execution throughout the project lifecycle. Key Responsibilities - Government-Funded Programs - Coordinate and support government-funded R&D projects, including NEDO, MEXT, and other public funding programs - Coordinate project reporting schedules, submission requirements, and administrative deliverables - Coordinate preparation and submission of project-related documentation and supporting evidence - Maintain project records and ensure audit readiness - Support project reviews, inspections, and compliance activities - Support funding claims and related documentation activities - Project Operations - Coordinate project schedules, reporting deadlines, deliverables, and follow-up actions - Drive timely completion of reporting and administrative requirements across project teams - Consolidate information from project schedules, meeting records, technical updates, and stakeholder inputs - Support monitoring of project reporting schedules and communicate administrative issues as appropriate - Support project activities throughout the lifecycle, from project setup through reporting and closeout - Documentation & Technical Communication Support - Support preparation, review, and quality assurance of project proposals, technical reports, progress reports, presentation materials, and external communications - Organize and structure information provided by technical teams for project documentation and funding submissions - Support preparation and maintenance of bilingual (Japanese/English) project documentation where required - Maintain document repositories, version control, and project records - Ensure consistency, completeness, and overall quality of project documentation - Stakeholder Coordination - Facilitate communication among technical teams, management, research partners, customers, subcontractors, and funding agencies - Support communication and reporting activities with headquarters and global stakeholders as required - Organize project meetings, workshops, reviews, governance activities, and management updates - Prepare meeting materials, minutes, action-item logs, and follow-up documentation - Support coordination among technical, legal, finance, and administrative functions - Contract & Financial Administration Support - Support expenditure tracking and funding-related reporting activities in coordination with Finance and management - Assist with collection and organization of supporting evidence, expense records, and project documentation - Support contract documentation, contract administration, and maintenance of related records - Coordinate with Finance, Legal, Procurement, and external service providers as required - Support reimbursement, invoicing, and funding-related documentation processes - Process & Documentation Management - Support maintenance and continuous improvement of project documentation and operational processes - Maintain documentation procedures, templates, and records management practices - Contribute to efficient and compliant execution of project activities across Japan operations Required Qualifications - Bachelor's degree or equivalent experience - Experience supporting government-funded R&D projects, technology development programs, or strategic projects - Strong project coordination, documentation, and organizational skills - Experience working with multiple stakeholders across organizations - Excellent Japanese communication skills (business level or above) - Ability to communicate effectively in English in a professional environment - Proficiency with Microsoft Office applications Preferred Qualifications - Experience with NEDO, MEXT, or other Japanese public funding programs - Experience in semiconductor, AI, quantum technology, deep-tech, or related industries - Experience supporting project proposals, technical documentation, reporting, and compliance activities - Experience preparing or reviewing bilingual (Japanese/English) project documentation - Experience working with international and cross-functional teams - Familiarity with project governance, grant administration, contract documentation, and audit support activities Base Salary Range: Base Pay Range ¥15,000,000 - ¥20,000,000 JPY Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Technical Program Manager, Lab Infrastructure (Sil...
About the Team We believe that increasing compute is a huge lever to AI progress. The Hardware Systems team owns the design, development, and sourcing of the compute, storage and interconnect hardware needed to build OpenAI’s supercomputers at the scale needed to deliver AGI that is beneficial to humanity. This includes: - Optimizing the processing hardware for AI models - Developing and optimizing the end-to-end software stack - Designing hardware systems to keep up with the needs of training and inference - Enabling the scale-up and scale-out interconnect fabrics create the world’s most power supercomputers We work at the very cutting edge of speed and scale. You won’t encounter another organization with as much compute per employee. We are a small team that moves quickly with access to huge resources. Our work has a direct impact on the success of OpenAI and, by extension, the field of AI as a whole. About the Role As the 1P Systems Lab Technical Program Manager, you will bring Lab infrastructure development knowledge and TPM experience to build out industry leading lab environments which are key to developing products and bringing the hardware roadmap to life. You’ll navigate an array of technical and partnership challenges as you work to develop our existing lab locations and deliver new sites on schedule. We’re looking for people excited to push the frontiers of computing and passionate about building. 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. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. In this role, you will: - Manage the end-to-end Lab strategy ensuring we have capacity and capabilities in place to successfully deliver the product roadmaps. - Work cross-functionally and with external general contractors to develop and deliver new Lab facilities on schedule. - Leveraging your Lab and datacenter construction technical knowledge to influence Lab design, including making trade-offs with internal and external partners. - Manage on-going lab availability to ensure lab facilities and capabilities are in place to support product bring-up, debug activities, and all on-going development work - Coordinate and lead internal resources and communication for efficient interaction with partners and vendors. You might thrive in this role if you: - Have experience leading high-power Lab or Datacenter design programs as a Technical Program Manager or Engineer from site selection to completion. - Data center infrastructure and product knowledge (e.g. server, GPU, TPU, networking, storage), including product development (NPI) processes. - Knowledge of Lab infrastructure equipment requirements to support product development. - Experience taking products from concept to volume in a data center environment, ensuring the systems scale with high quality. - Are eager to help design some of the world’s largest supercomputing systems, working at the edge of complex hardware challenges. - Enjoy working with and enabling world-class AI Researchers and Engineers. - Are passionate about the technical program function and enjoy independently owning and delivering on your teams’ goals and cutting-edge problems in AI compute. 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 Counsel, Competition
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role We’re seeking a senior lawyer to join OpenAI’s small but growing competition legal team and play a leadership role on a wide range of important legal and regulatory matters. This role will involve engaging with competition regulators globally, supporting OpenAI’s active M&A program, providing strategic and actionable legal advice on competition law issues related to our business activities, and driving antitrust enablement and training initiatives. We’re looking for an agile and experienced competition lawyer who is a self-starter, can operate at a fast pace with a high volume of matters, and is a strong leader and highly collegial team player. This role reports to our Associate General Counsel, Competition. This role is based in San Francisco or Washington, D.C. 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: - Support OpenAI’s global regulatory engagements with competition authorities and lead OpenAI’s response to RFIs and other inquiries from competition regulators. - Partner with our Corporate Legal and Corporate Development teams to support OpenAI’s strategic acquisitions and devise and execute regulatory clearance strategies. - Collaborate with global policy and regulatory affairs to anticipate and navigate competition scrutiny in the area of AI. - Advise business and other legal teams on competition law considerations related to OpenAI’s commercial relationships and business and product strategy. - Develop impactful and effective competition-law related enablement resources and campaigns. You’ll enjoy this role if you have: - 10+ years of legal experience in the area of antitrust. - Have a JD and license or qualification to practice in the state you reside. - A mix of in-house and top-tier law firm experience. - Experience working for a competition regulator is a plus. - Expertise in the evaluation of antitrust risk and the development and execution of regulatory clearance strategy for acquisitions, investments, and other strategic transactions. - Experience leading strategy and responses to competition regulator investigations at a technology company. - Demonstrated ability to operate with autonomy and sound judgment in highly technical and fast-moving environments. - Demonstrated ability to multi-task and manage competing priorities, and the agility to lead several different types of matters. - A desire to build new things and think creatively about how a competition law practice can deliver measurable business impact. - Exceptional communication skills, with an ability to distill complexity into actionable, business-aligned guidance. 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.
Land and Data Center Development
About the Team OpenAI’s Compute organization builds the infrastructure that powers frontier AI training and inference. This work brings together commercial, technical, strategy, and operations teams to secure and develop the sites and capacity needed for large-scale compute deployment. We partner across real estate, power, engineering, legal, finance, and delivery to connect infrastructure needs with viable development opportunities and executable commercial agreements. About the Role We’re looking for a commercial real estate (CRE) development professional to help secure land and data-center capacity for OpenAI’s compute infrastructure. This is a combined role spanning land acquisition and development, data-center leasing, and real estate acquisitions. The ideal candidate is particularly strong in land and can also contribute across data-center transactions. You’ll source and evaluate opportunities, structure and negotiate agreements, and coordinate commercial and technical diligence. Working with legal, finance, engineering, and development partners, you’ll connect transaction decisions with infrastructure requirements and carry opportunities through agreement execution and handoff. Responsibilities - Lead sourcing, evaluation, and commercial execution of land acquisition opportunities for data-center development. - Support data-center leasing and real estate acquisitions, working across land and data-center transactions as priorities require. - Build relationships with landowners, brokers, developers, and data-center counterparties to source opportunities. - Structure and negotiate land acquisition, site-control, and data-center lease agreements with legal and business partners. - Coordinate diligence with legal, finance, engineering, and development partners, translating site constraints and readiness risks into commercial decisions. - Evaluate deal economics and present clear recommendations on costs, terms, tradeoffs, and next steps. - Manage the transaction pipeline, keep stakeholders aligned, and resolve issues that affect decisions and execution. - Drive transactions through agreement execution and coordinate clear handoffs to the teams responsible for development and delivery. Qualifications - Strong commercial real estate development experience, with depth in land acquisition, site control, and development feasibility. - A record of sourcing, structuring, and negotiating complex real estate agreements. - Ability to work across land transactions and data-center leasing, with sound judgment about their different commercial and development requirements. - Sound commercial judgment and the ability to assess deal economics, identify risks, and make practical recommendations. - Experience working across legal, finance, engineering, and operations teams to move transactions forward. - Clear communication and strong ownership of complex negotiations, competing priorities, and uncertain timelines. 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.
Tax Director, Tax Counsel
About the Team OpenAI’s Tax and Trade team sits at the center of OpenAI’s global growth, shaping how cutting-edge AI products, partnerships, and infrastructure scale across borders while navigating complex tax, trade, and regulatory regimes. We operate as strategic operators, not just compliance experts, embedding early in product, finance, policy, and infrastructure decisions to manage risk, unlock incentives, and enable OpenAI to grow responsibly and competitively worldwide. About the Role We’re hiring a Tax Director to advise on OpenAI’s global tax strategy and support the company’s continued international expansion. This role will partner closely with Legal, Finance, Corporate Development, and commercial teams on cross-border tax planning, operating model design, market entry, strategic partnerships, product launches, intercompany arrangements, and complex commercial transactions. You will bring deep international tax expertise and practical business judgment to help OpenAI move quickly while managing risk across a rapidly evolving global footprint. The role requires someone who can translate complex tax rules into clear recommendations, build scalable frameworks, and operate as a trusted advisor to senior stakeholders across the company. You’ll be responsible for: - Support tax aspects of strategic transactions, including acquisitions, joint ventures, reorganizations, divestitures, and post-close integration, in partnership with Corporate Development, Legal, and Finance. - Advise on international tax planning and global operating model design, including legal entity footprint, intercompany arrangements, IP ownership and use, customer contracting models, and cross-border service flows. - Serve as a core tax business partner for global expansion initiatives, including new market entry, changes in operating footprint, and regional business scaling. - Advise Product, Legal, Finance, and commercial teams on tax considerations for go-to-market motions, strategic partnerships, customer contracting, and new revenue models. - Evaluate permanent establishment, withholding tax, treaty, source and character, transfer pricing, and other international tax considerations arising from global business activity. - Monitor US and international tax law and policy developments, including Pillar Two and other global tax reform initiatives, and assess implications for OpenAI’s business planning and operating model. - Advise on tax aspects of financing and treasury initiatives, including intercompany funding, capital structure planning, and third-party financings. - Manage external advisors and coordinate internal stakeholders to deliver timely, practical, and high-quality tax advice across business initiatives. - Build scalable frameworks, playbooks, and processes that enable consistent, repeatable tax advisory for a fast-growing global business. - Communicate complex tax issues clearly to non-tax stakeholders, including senior leadership, and help drive decisions that balance tax efficiency, risk management, operational feasibility, and business priorities. We’re looking for someone with: - A J.D. and strong academic credentials; LL.M. in Taxation a plus. - 12+ years of progressive international tax experience, ideally with a mix of law firm and in-house experience at a high-growth multinational business. - Strong foundation in complex domestic and cross-border M&A, joint ventures, reorganizations, and post-acquisition integrations. - Extensive experience advising on cross-border commercial arrangements, market entry, strategic partnerships, and international expansion. - Deep technical expertise in US international tax, including GILTI, FDII, BEAT, foreign tax credits, withholding tax, tax treaties, source and character of income, Subpart F, and permanent establishment principles. - Strong understanding of transfer pricing principles, intercompany arrangements, IP planning, and global operating model design. - Experience with Pillar Two and global tax policy developments, and ability to translate legislative change into practical business advice. - Proven ability to distill complex tax concepts into clear, actionable recommendations for non-tax stakeholders and executive leadership. - Exceptional judgment, presence, and communication skills; comfortable operating at senior levels of the organization. - Track record of building trust and credibility across Legal, Finance, Product, Infrastructure, Corporate Development, and commercial teams. Workplace & Location 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. 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.
IT Systems Engineer
About the Team The IT System Operations Team provides engineering and operational expertise to the OpenAI IT organization. The team ensures that employee-facing systems, identity workflows, and enterprise applications operate in a predictable, governed, and continuously reliable manner as the organization scales. The Enterprise Platforms pod runs the SaaS applications employees rely on to communicate, collaborate, and manage work. The pod owns application administration, configuration, integrations, operational controls, and complex escalations. We work across Google Workspace, GCP, Slack, Atlassian and service-management tools, ChatGPT Enterprise, and other enterprise applications, partnering with IT Support, Systems Engineering, Identity & Access Foundations, Security, and business teams. About the Role We’re looking for an IT Systems Engineer to join our Enterprise Platforms pod, with deep experience in platforms such as Google Workspace, Google Cloud Platform (GCP), and Slack, and a focus on application integration, automation, and internal tools. You’ll connect services across the application portfolio, build tools that simplify work for employees and IT, and own improvements from discovery and design through implementation, rollout, and ongoing operation. The goal is to reduce repeated manual administration and build reusable capability for user migrations, M&A integrations, and broader enterprise platform work. Infrastructure as code is central to how you’ll work. You’ll use Terraform, version control, code review, and automated delivery pipelines as the default approach to managing platform configuration and supporting infrastructure. You’ll pair that foundation with APIs and code to build integrations and tools, simplify administrative workflows, and turn recurring issues into durable engineering improvements. You’ll work across collaboration platforms, cloud integrations, service-management workflows, and ChatGPT Enterprise administration. You’ll also participate in on-call and end-user escalations, helping restore service and improve the systems employees depend on. In this role, you will: - Engineer and operate enterprise platforms through infrastructure as code, using Terraform to manage supported configuration, access, and controls. Build reusable modules, bring existing resources under management, and detect and reconcile configuration drift. Use APIs and automation for capabilities outside provider coverage. - Design, build, and maintain integrations across enterprise applications and cloud services. Own data flows, API access, OAuth clients, service accounts, error handling, and operational monitoring. Partner with cloud and security owners on project setup, permissions, credential handling, and technical handoffs. - Build and improve enterprise application integrations and Jira/service-management workflows for IT, Security, and business teams. Translate operational needs into maintainable configurations, routing, approvals, and automation. - Develop ChatGPT Enterprise workspace administration using APIs and infrastructure as code. Test administrative capabilities and provide Customer Zero feedback to product teams based on real operational needs. - Build reusable internal tools, automation, and autonomous workflows across the enterprise application portfolio, including self-service workflows, administrative utilities, and cross-application processes that support routine operations and user migrations. Use code, APIs, infrastructure as code, and AI or agent workflows with testing, error handling, logging, documentation, and clear boundaries for privileged actions. - Implement agreed platform controls and identify gaps. Validate effective access, sharing, integration, and logging behavior; preserve configuration and test evidence; and document exception requests for the appropriate security and policy owners. - Validate changes through complete employee workflows. Plan rollouts with monitoring and rollback, establish support ownership, and measure reliability, reduced manual effort, and fewer repeat escalations. - Participate in the on-call rotation and handle escalations to support end users, troubleshoot issues, and coordinate resolution with the appropriate teams. You may thrive in this role if you: - Have engineered enterprise platforms at scale, combining hands-on configuration, permissions, and troubleshooting with application integrations, API-based automation, and tools used by employees or IT teams. - Have used AI and agents or agentic automations to improve workflows, applications, and processes, with attention to permissions, reliability, and verification. - Can troubleshoot across applications, identity, permissions, provisioning, networking, and APIs, using evidence to isolate problems and restore service. - Have strong hands-on Terraform and infrastructure-as-code experience, including reusable modules, state management, resource imports, plan review, and automated validation and deployment. Write maintainable code and use APIs to extend automation across applications. - Have independently owned complex systems improvements within a team while supporting operational responsibilities. Can prioritize incidents and end-user escalations, communicate clearly, and maintain service continuity. - Understand GCP fundamentals relevant to enterprise applications, including OAuth clients, service accounts, IAM, secrets, and audit logging, and can explain tradeoffs to engineering and security specialists. Additional experience that is helpful: - Jira Service Management or Atlassian workflow engineering, automation, and integrations. - ChatGPT Enterprise administration, administrative APIs or Terraform providers, or operational experience with platforms such as Notion and Linear. - Implementing and testing collaboration controls, producing audit evidence, and improving platform configuration or monitoring at scale. 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 Field Engineer, Data Center Design and Engi...
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 compute runs on a growing global portfolio of data centers built with development partners. As a Senior Field Engineer on the Data Center Design and Engineering team, you will work side by side with developers, general contractors and engineers of record to resolve technical issues on site and speed up construction. You will spend most of your time on active sites, acting as our team's eyes, voice and technical judgment in the field. You will spot problems first, get the right people moving, and stay with each issue until it is closed. You don't need a data center background. We care more about whether you have delivered complex industrial projects from the field and can get contractors and partners to act when you have no formal authority over them. What you'll do Be our engineering presence on site. You will walk installed work against the approved design and build working relationships with developers, general contractors, engineers of record, vendors and commissioning teams. You will hold design acceptance on our team's behalf, deciding whether installed work meets the design. When field conditions and drawings disagree, you will be the first call. You will settle what you can on the spot and bring in the right discipline engineer for the rest. More than 50% of your working time will be at project sites, often with overnight travel across multiple sites. The rest will be remote from your home base. Get issues closed. You will keep one prioritized list of open engineering issues for your sites, each with an owner and a date. You will follow up in person, challenge dates that don't hold up, and escalate early with a clear recommendation when something is stuck. Find out why things fail. When equipment, an installation or a test fails, you will gather the evidence, test the first explanation, and trace the failure to its underlying cause. You will confirm that the fix works and check whether other sites carry the same risk. Clear the path to commissioning and handover. You will check the interfaces between power, cooling, controls and structure before they surface as test failures. You will drive RFIs, deviations and field changes to decisions, so that open engineering questions don't hold up the crews. Bring the field back into the design. You will turn recurring site problems into changes to our designs, standards and audit checklists. Each project should make the next one easier to deliver. What this role is not You won't manage construction crews or direct contractors' means and methods; those stay with our construction delivery partners. You will work with our discipline engineers and hold the field view, rather than produce design documents. You may be a good fit if you - Have spent years on active project sites in energy, power, heavy industrial, data center or similar environments, as an engineer, project manager, or construction or commissioning lead - Can read drawings, single-line diagrams, P&IDs, specifications and schedules well enough to see where they disagree with what's been installed - Can give specific examples of persuading contractors, vendors or partners who didn't report to you to change course - Hold your position under pressure, back it with evidence, deliver bad news early, and change your mind when the facts change - Have led structured failure investigations, using a method such as 5 Whys or 8D, and seen the corrective actions through - Write short, factual reports that a busy reader can act on - Treat safety as your own job, and will stop work that isn't safe - Have a degree in engineering, construction management or a related field, or equivalent practical experience Strong candidates may also have - Experience as an owner's representative overseeing an EPC or general contractor - Commissioning, startup or system turnover experience - Worked in LNG, refining, offshore, power generation, semiconductor or naval environments - An electrical, mechanical or civil, structural and architectural (CSA) engineering background - A PE license, PMP or OSHA 30 certification - Familiarity with tools such as Procore or Primavera P6 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.
Strategic Finance, Workloads
About the Team The Strategic Finance team provides financial insights and guidance to support the organization's long-term goals and strategies. We partner across the business to allocate and deploy our resources for the highest impact outcomes. About the Role Our Workloads team under Research focuses on maximizing the performance and efficiency of model inference, enabling OpenAI to develop and deploy frontier AI models at scale. We are hiring a senior Strategic Finance business partner to work closely with our Workloads team to drive improvements in model serving efficiency and compute economics. You will partner directly with researchers and engineers to identify and prioritize high-impact optimization opportunities, establish frameworks to measure performance, and translate technical improvements into financial outcomes. This is a great role for folks who have an interest in how AI research intersects with compute. 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: - Partner with Inference researchers, Scaling, Product, and Data Science teams to identify, evaluate, and prioritize optimization opportunities, weighing customer and economic trade-offs across model performance, latency, throughput, engagement, and compute cost. - Drive cross-functional strategic initiatives to improve inference efficiency by establishing clear ownership, coordinating work across teams, and tracking execution progress. - Establish key performance metrics, dashboards, and analytical frameworks to identify inference performance gaps and quantify the financial impact of improvements. - Partner with Compute Finance and other Strategic Finance teams to incorporate expected inference efficiency improvements into long-term compute demand forecasts, capacity planning, investment decisions and financial projections. You might thrive in this role if you have: - A technical academic background (e.g., computer science, engineering, or mathematics) or current experience partnering closely with research or engineering teams on technical problems. - 8–10+ years of experience in management consulting, strategy & operations, strategic finance, or a related analytical role. - Strong analytical and structured problem-solving skills, with a track record of turning ambiguous problems into actionable recommendations and measurable impact. - Executive presence and communication skills to build credibility with researchers and engineers, align stakeholders, and explain technical and financial trade-offs. - An entrepreneurial mindset, with experience building processes and independently driving initiatives from idea through execution. - Technical curiosity and enthusiasm for frontier AI and inference economics. - Experience with AI/ML infrastructure, cloud computing, or technical performance optimization is a plus, but not required. 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.
Staff+ Software Engineer, Enterprise Connectivity
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role A connected Claude is the difference between a general-purpose chatbot and a real coworker. We're building the connected enterprise on three fronts: zero-touch activation, a thriving connector ecosystem, and an enterprise control plane that lets organizations adopt with confidence. We own the path from discovering a connector to using it every day: default and suggested connectors, one-click setup, connector requests, and the identity and admin pieces that remove setup friction for a whole organization at once. You'll be a technical leader who owns activation end to end, from the moment someone sees a connector to their first successful use of it. You'll also help to shape the foundations that help the connector ecosystem grow, and the governance controls that make it safe at enterprise scale. You'll partner closely with product, design and data science, and carry real ownership over what we ship next. What you'll do - Own connector activation end to end: measure the funnel from discovery to first use to habit, find the biggest drop-offs, and fix them - Build and run experiments on default connectors, in-product suggestions, connector requests and onboarding flows - Make setup close to zero-touch, building on open standards like Cross App Access (XAA) and the MCP authorization spec so one approval can turn a connector on for everyone - Improve the connectors people reach for most, like Microsoft 365 and Google Workspace, so the first experience works and keeps working - Lay platform foundations for the connector ecosystem: reusable building blocks that make every new connector easier to launch, discover and activate - Build out the enterprise control plane: admin controls and governance (domain restrictions, labels, permissions) that help security teams say yes faster instead of blocking rollout - Partner with product, design, data science and sales to turn usage data and customer feedback into priorities - Set technical direction and standards for the team, mentor other engineers, and lead with influence rather than authority Minimum Qualifications - Have shipped growth or activation work: onboarding flows, funnels, experimentation, and measuring what actually moves usage - Are comfortable with authorization and identity (OAuth 2.0, OIDC, SSO), enough to make setup flows simple without cutting corners - Have built on large platform APIs (Microsoft Graph, Google Workspace or similar) and can debug failures on both sides of the boundary - Have built platform or ecosystem surfaces that other teams or developers rely on, and care about durable, well-designed APIs - Understand what enterprise admins and security teams need from policy, permissions and governance at scale - Use data and user research to decide what to build, and can explain the tradeoffs to product and design partners - Drive cross-team and cross-company alignment to ship, with influence over authority Preferred Qualifications - Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level - Contributed to or implemented emerging auth standards (IETF OAuth drafts, MCP authorization) - Experience with data governance or information protection (sensitivity labels, DLP) - Built admin consoles or policy engines for multi-tenant SaaS - Run growth experiments on activation funnels - Built AI products or agent tool integrations (MCP) - Helped grow a developer or partner ecosystem around a platform 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: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Staff+ Software Engineer, Deployment
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 Every change to Anthropic's software has to reach production somehow: new code, runtime configuration, feature flags, infrastructure changes. Our team builds the systems those changes travel through. Our mission is to give every team at Anthropic a fast, safe, and predictable path from change to production. We sit within Anthropic's Infrastructure organization and own pipelines, staged rollouts, health-gated promotion, and rollback, along with runtime configuration, feature flags, and the systems that deliver code and artifacts to machines across a very large fleet. You'll own a meaningful part of this end to end, from design through operating it in production. If you want your work to shape how fast and how safely Anthropic ships, this could be a great fit. Key responsibilities - Set technical direction for major parts of the deployment platform and own them end to end: design, implementation, and operations - Build rollout safety into the platform, including progressive delivery, health-gated promotion, automatic pause and rollback, and deploy controls that teams manage themselves - Design APIs and abstractions that work equally well for engineers and for AI agents - Extend the platform to new workload types and runtimes, from Kubernetes to serverless and edge platforms - Build and operate runtime configuration and feature flag systems with validation, gradual rollout, and fast rollback - Build infrastructure-as-code workflows that many teams rely on for safe, routine changes - Scale artifact distribution so code and configuration reach machines quickly and efficiently - Partner with Security so that the path to production is secure by default, with verifiable builds, least-privilege access, and auditable changes - Work directly with teams across Anthropic to understand their deployment needs and bring their workloads onto the platform - Take part in on-call and incident response, and turn what you learn into guardrails that prevent the same problem from recurring Minimum qualifications - Proficiency in at least one backend or systems programming language, such as Rust, Go, C++, or Java - Experience leading the design, building, and operation of distributed systems or infrastructure in production, including technical direction across teams - Experience with cloud infrastructure and containerized workloads, such as Kubernetes on AWS or GCP - Strong written and verbal communication skills Preferred qualifications - Experience building deployment, release, or change management systems at large scale - Experience with production on-call and incident response - Experience with Rust in production - Experience with progressive delivery and GitOps tooling, such as Argo CD or Argo Rollouts - Deep knowledge of Kubernetes, including controllers and operators - Experience with Terraform or other infrastructure-as-code systems at scale, including state management and locking - Experience building feature flag, experimentation, or dynamic configuration systems - Experience with artifact or package distribution, such as OCI registries, Nix, or content-addressed storage - Experience with software supply chain security, such as signed build provenance - Experience building high-throughput workflow engines or control planes backed by relational databases - Experience building internal developer platforms and leading adoption across many teams - Experience using AI agents in your own engineering work, or building systems that agents operate Representative projects - Build operator controls for progressive rollouts, including pause and resume that preserve rollout state - Design a deployment engine built on fine-grained targets and their dependencies, so each change rolls out exactly where it needs to - Build cluster-health-aware rollouts that steer around unhealthy clusters - Add a new workload type to the platform, including its rollout, verification, and rollback behavior - Design a deployment control plane that handles sharp bursts of agent-driven traffic - Design a distribution system that delivers configuration and artifacts to every machine in the fleet as demand grows 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: $405,000 - $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Head of Corporate Marketing
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. SambaNova is looking for a Head of Corporate Marketing (Senior Director or VP-level) to build and lead the corporate marketing function within a broader marketing organization led by the CMO. This is a rare opportunity to shape the brand, creative, web, content, and event presence of one of the most important independent players in AI infrastructure — at a moment when the market is actively re-evaluating what comes after GPUs. You will own corporate brand identity, website and digital presence, content creation, creative services, and large-scale corporate and industry events, while partnering closely with product marketing, demand generation, developer relations, and the CMO to make sure every external touchpoint — website, events, content, creative, executive platform — reinforces a single, sharp story about why SambaNova and our AI inference architecture matter. The right candidate has run corporate or brand marketing at some scale inside a fast-moving tech company, is comfortable being the connective tissue between the CMO's vision and the company's go-to-market motion, and knows how to build a team and function from a solid but still-forming base. Responsibilities - Own SambaNova's overall brand strategy, brand identity, and positioning across all external channels. - Own all creative services, ensuring visual and verbal consistency across web, events, campaigns, and content. - Own SambaNova's website and web presence, including SEO/AEO strategy, to strengthen discoverability and digital credibility. - Own content creation and production — including thought leadership, POV/POC content, and the company blog — executing against direction set by the CMO to reinforce a single, sharp narrative. - Own corporate and large-scale third-party industry events, setting the strategy and ensuring flawless execution for major launches, conferences, and keynotes. - Serve as a close partner to the CMO, translating brand and content strategy into flawless execution across all channels. - Lead integrated brand marketing campaigns that tie together brand, product launches, events, and demand generation into one coherent story. - Build, mentor, and scale a corporate marketing team, while working cross-functionally with product marketing, DevRel, Sales, and field teams. - Manage relationships with outside creative and event agencies to keep execution high-quality and on-brand. - Bring structure and rigor to marketing operations — planning, budgeting, and measuring the impact of brand, creative, and content investment. - Represent the company externally as a credible technical and business spokesperson when needed. What We're Looking For - 8+ years in corporate marketing, brand, or creative leadership, with at least 2-3 years in a senior leadership role (Senior Director, Head of, or VP level). - Direct experience building or scaling a marketing function inside a high-growth technology company — infrastructure, semiconductors, cloud, or enterprise AI strongly preferred. - Track record of shaping company narrative and brand at an inflection point (new category, major launch, funding milestone, or public-market transition). - Strong executive presence and experience acting as a strategic partner to a CMO or senior marketing leader. - Deep familiarity with what it takes to build brand credibility and trust in a technical, skeptical market. - Hands-on experience owning a website, SEO/AEO, and digital brand presence. - Proven people-leadership skills — has built and run teams, not just functions. - Comfortable operating with startup speed and ambiguity while still bringing enterprise-grade marketing discipline. Preferred Qualifications - Experience marketing chips, accelerators, datacenter hardware, or AI/ML infrastructure. - Experience owning or elevating a company's presence at major industry events (e.g., Nvidia GTC, AWS re:Invent, Web Summit). - Experience directing content strategy — thought leadership, POV/POC content, and blog — in a technical category. - Experience marketing through a major company milestone (IPO, large funding round, high-profile acquisition, category creation). - Public-facing credibility of their own (interviews, panels, bylines, podcast appearances). - Bay Area-based or willing to work closely and in-person with the CMO and marketing leadership team. Base Salary Range: Base Pay Range $270,000 - $330,000 USD Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Engineering Manager, Guardian
About the Team The Guardian team builds practical safety and oversight systems for increasingly capable AI agents. Our goal is to make it possible for agents to take on longer-running, higher-autonomy work while preserving meaningful safeguards, respecting user intent, and intervening when actions could cause serious or difficult-to-reverse harm. Auto-review is an early example of this work. When an agent reaches a permission boundary, a separate model evaluates the proposed action in context and determines whether it should proceed. The team is now extending this foundation into more capable oversight systems that account for richer user context, support a broader range of agent experiences, and integrate across OpenAI products. Guardian sits at the intersection of engineering, alignment research, product, infrastructure, and security. The team already has a strong engineering foundation in London and will continue to grow there as a concentrated, highly collaborative group. About the Role We are looking for an Engineering Manager to lead and grow the Guardian team in London. You will own the engineering strategy and execution for production systems that evaluate agent behavior, identify risk, and take appropriate action without creating unnecessary friction for users. This is a builder-manager role with substantial technical depth. You will set direction, develop engineers, and create the operating cadence for a high-performing team, while remaining close enough to the work to shape architecture, review designs, debug difficult problems, and write code when it is the highest-leverage way to help the team move forward. The role is highly visible and cross-functional. You will work closely with alignment researchers to translate emerging research into dependable systems, and with product teams to make agent safety a foundational capability across OpenAI. This role is based in our London office. In this role, you will - Lead, hire, and develop a London-based team of engineers working across agent safety, backend systems, applied AI, and product infrastructure. - Set the technical roadmap for Auto-review and the broader Guardian platform, balancing safety, product utility, latency, and operational reliability. - Build production systems that evaluate agent actions in real time, detect potentially harmful behavior, and support safe recovery or escalation paths. - Improve how oversight systems understand user intent, environmental context, permissions, and relevant personalization signals while protecting privacy and avoiding unnecessary friction. - Partner closely with alignment researchers to turn prototypes, evaluations, and new monitoring techniques into scalable product capabilities. - Work across Product, Security, Infrastructure, and other engineering teams to integrate Guardian capabilities into agent experiences throughout OpenAI. - Establish rigorous evaluation and operational practices, including adversarial testing, failure analysis, monitoring, and metrics for safety performance, false positives, latency, and user impact. You might thrive in this role if you - Have significant experience leading engineering teams that shipped complex, high-stakes production systems end to end. - Have built with AI agents or large language models in a core product, startup, or technically serious independent project, and understand the unique challenges of agentic systems. - Bring strong product-engineering judgment and can navigate tradeoffs across safety, usability, speed, and reliability. - Can partner effectively with research teams, translate open-ended findings into engineering plans, and communicate clearly across technical disciplines. - Have a thoughtful management system for hiring, coaching, performance, and execution. - Care deeply about building AI systems that are useful, trustworthy, and safe. 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.
Security Data Engineer
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude is trained and served on hardware in data centers Anthropic operates and in sites partners build and run for us. DCSE secures that footprint: the sites, the hardware moving through them, and the people and vendors who touch it. Security at that scale runs on data, and you'll be the engineer who owns it and the systems that produce it: component-level hardware inventory and chain of custody, fed by software that runs at our sites and on hosts, and continuous control monitoring, with the posture calculations that decide what each site is cleared to run. You set the architecture, agree schemas and interfaces with the teams, operators and vendors that own the sources, build the pipelines, stores and tools, and run what you ship. The goal is security that runs itself: custody, access and evidence verified continuously from records, with tools and AI agents doing the reviews. We favor simple, standard controls and tools that can be verified over elaborate ones. We use Claude throughout our engineering workflow and expect you to as well. You'll work with the rest of DCSE, including the engineers on its security monitoring platform, with Anthropic's compute and data center operations teams, and directly with data center operators, hardware vendors and logistics providers. The role is based in San Francisco, with remote applicants in the US considered, and involves regular travel to data center sites, which are critical infrastructure. Key responsibilities - Hardware inventory and chain of custody: own the component-level record of what hardware exists, where it is and who has handled it: the data model, the pipelines that join inventory and custody events from many source systems, change history on every record, and the tamper-evident stores behind it - Tools, automation and AI agents: build the tools and agents the team runs on this data: reconciliation, audit evidence exports, custody checks. When a review keeps costing people time, you build the tool or agent that retires it - Custody workflows and field software: build the workflows and the site and host software that capture custody events as they happen (a receipt, a move, a data wipe, a decommission) and enforce who is authorized to record them - Continuous control monitoring and posture: own the pipelines that turn check outcomes, assessment results and findings into per-control and per-site measures over time, against the compliance frameworks we and our partners are assessed against, and the posture calculation that decides what a site is cleared to run - Data quality: build coverage checks, reconciliation against sources and alerts on a silent or drifting feed, so a wrong or missing record is caught the same day; own retention and access controls on the records - Integration and reporting: agree schemas and interfaces with the engineers who run the security monitoring platform, and build the query surfaces and reports the team, site leads and leadership use directly Minimum qualifications - Have designed and run production data systems (relational schemas, change data capture, batch or streaming pipelines and the services around them) and kept them correct: coverage measured, records reconciled against the source, alerts on silence, and a design that expects records to get corrupted or lost - Have integrated with systems you did not control (inventory tools, ticketing systems, vendor APIs) and built data models that outlive any one source - Have shipped software that runs outside a central service (host agents, site-local services, edge collectors) and kept it correct in the field, or built metrics a team made decisions on and defended them when challenged - Have worked hands-on with data about physical assets or security controls: a hardware fleet, data center or supply chain inventory, asset custody, or the control and evidence data of a security or compliance program - Read and review other people's code, and build with AI coding agents using Git and code review - Own a domain end to end: set the approach, design and build it with the teams and vendors whose systems it depends on, and run it as something people use every day - Write SQL and at least one general-purpose programming language well Preferred qualifications - Experience with asset management, supply chain or warehouse systems where serialized tracking and custody transfer are the core problem - Experience building continuous control monitoring or metrics for a security or compliance program, or producing evidence an assessor accepted, for example against NIST SP 800-53, ISO 27001 or SOC 2 - Experience with risk or posture scoring that combines control results, findings and other evidence into a measure people make decisions on - Familiarity with data center hardware and its lifecycle from receipt to decommission, and with sites and parties you did not control: colocation, cloud or GPU cloud operators, hardware manufacturers, logistics providers - Have run software on many hosts or at remote sites with versioned rollout and a way to know each copy is still reporting - Have built AI agents or automation that replaced recurring manual 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: $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.
Forward Deployed Engineer, Inference
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? Are you energized by bridging the gap between frontier AI capability and complex customer reality? Do you want to architect high-performance, resilient machine learning systems directly inside strategic enterprise environments? We are looking for a Staff Forward Deployed Engineer (FDE) to join our team. The team is responsible for taking our large language models and making them work reliably, securely, and at peak performance within our customers' custom infrastructure and data perimeters. In this role, you will act as the principal technical translation layer between our core engineering teams and our strategic partners. You will own the architecture for highly ambiguous, customer-specific inference challenges—ranging from multi-tenant model serving to multi-datacenter disaster recovery and custom hardware validation. You will lead technical adoption end-to-end, ensuring our models achieve exceptionally low latency, high throughput, and seamless resilience in the field. As a Forward Deployed Engineer, you will: • Embed directly with customer engineering teams to architect the "connective tissue" between our AI models and their live, complex production environments. • Design advanced model serving topologies, implementing multi-tenant architectures, intelligent model routing, and cross-datacenter failover strategies for multi-cluster environments. • Optimize "AI-in-a-box" and private deployments, balancing localized SRE constraints like Kubernetes multi-cluster scale with raw model performance. • Conduct rigorous benchmarking and profiling of customer LLM workloads, root-causing performance degradation (e.g., slow generation) via metrics, dashboards, and distributed logs. • Accelerate hardware validation, collaborating with clients to run and support Cohere models on next-generation accelerators (GPUs, TPUs, AMD, and custom ASICs). • Translate complex field friction into platform upgrades, delivering prescriptive feedback and contributing directly back to core product features. • Ensure Day-1 production reliability, assisting customers in establishing sound deployment patterns, SLOs, and observability frameworks. You may be a good fit if you have : • 8+ years of engineering experience running production infrastructure, designing large-scale distributed systems, or deploying enterprise software in complex environments. • Deep technical depth in production Kubernetes, including orchestration across multi-cluster and hybrid/multi-cloud ecosystems (GCP, Azure, AWS, OCI). • Strong understanding of LLM architecture and inference dynamics, specifically how attention mechanisms, compute-bound prefill, and memory-bound decode phases dictate live performance. • Hands-on experience with modern inference engines and optimization stacks (e.g., vLLM, TensorRT-LLM, lmd, or Dynamo). • Familiarity with distributed serving techniques, such as prefill/decode disaggregated serving, distributed KV caching, and multi-GPU workloads. • Exceptional customer-facing technical leadership, with a proven track record of scoping highly ambiguous problems and steering executive technical stakeholders. • The high agency, grit, and adaptability to write same-day production code while managing client-side deployment politics or blockers. • Strong programming foundations in Python, Go, or C++, comfortable moving fluidly between backend data pipelines and infrastructure layer tuning. 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 , 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 page.
Support Vendor Manager, APAC
About the Team The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. Given OpenAI’s breakneck shipping cadence and growth – and the expectation that it will only accelerate – our ability to architect automation systems and agentic workflows for scale is central to our ability to maintain exceptional support quality in the face of AGI. About the Role As a Support Vendor Manager, you will own the health, performance, and long-term scalability of multiple support partner and vendor relationships. This is a vendor leadership role first and foremost: you will drive commercial and operational accountability (SLAs, QBRs, escalation paths, remediation plans), while also building the operating model that enables support to scale without linear headcount growth. You’ll collaborate closely with User Operations teams (e.g., Trust & Safety, Fraud & Risk), Systems/Tooling, Data partners, and Product/PM stakeholders as we launch new workflows and launch and scale new programs. This role is based in Singapore. We use a hybrid work model of 3 days in the office per week. 1-2 weeks of travel per quarter may be required. In this role, you will: - End-to-end vendor leadership: Own day-to-day oversight, relationship health, and executive-level accountability for multiple support vendors/BPOs. - Performance management & remediation: Define and manage SLA/KPI performance expectations, run WBRs/QBRs, identify performance gaps, and drive structured turnaround plans with clear owners and timelines. - Escalation and risk management: Serve as the primary escalation point for vendor issues, including incident response, surge events, quality regressions, and continuity risks; ensure vendors have strong operational controls and playbooks. - Commercial and operational governance: Partner on contract levers, staffing commitments, service scope changes, and operational cadences; ensure governance mechanisms produce measurable outcomes. - Operational reporting and executive narratives: Produce clear, decision-ready reporting on vendor health, capacity risk, and scaling constraints; translate operational signals into recommendations for leadership. You might thrive in this role if you have: - 5+ years in vendor/BPO operations management, support operations, or partner performance leadership in a scaled environment. - Proven ability to run vendor governance: QBRs, SLA/KPI design, escalation paths, remediation plans, and cross-functional stakeholder management. - Awareness of and some experience with workforce planning approaches—e.g., forecasting frameworks, capacity models, staffing strategies, and performance-to-plan systems. across global, multi-site support operations. - Strong analytical and operational rigor: comfort working with data to define inputs/assumptions, evaluate tradeoffs, and drive outcomes (you do not need to be a data scientist, but you must be fluent). - Familiarity with support tooling and operational systems (e.g., Salesforce Service Cloud or similar), and comfort partnering with Systems/Tooling to implement scalable processes. - Strong communication skills and executive presence: ability to align diverse stakeholders, negotiate priorities, and drive accountability across internal teams and external partners. - Comfort operating in fast-paced, ambiguous environments where you’re expected to build the structure, not just maintain the inherited ones. 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.
Content Designer
About the team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We serve a diverse audience of users who are already using ChatGPT daily in their lives and work. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the role We’re looking for a Content Designer to join OpenAI’s Content Design team, bringing deep expertise in prompt engineering and AI evaluation alongside strong content design craft and product judgment. You’ll combine editorial judgment, product strategy, and technical implementation to build prompts, evaluations, and tools that help us create and improve content and messaging at scale. Your primary focus will be experiences that help people discover ChatGPT’s value, get started, and stay engaged—including notifications—with contributions to broader Content Design work as team needs evolve. 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: - Shape content strategy for experiences that help people discover ChatGPT’s value, get started, and return to meaningful uses of the product. - Design, implement, and iterate on prompt frameworks that guide AI-generated product content and messaging. - Define content quality standards and build evaluation systems, datasets, and reviewer guidance that combine human judgment with automated assessments. - Shape tools and workflows for generating, reviewing, and improving content across experiments and product experiences. - Analyze model outputs and evaluation results to diagnose problems and improve content systems as models, products, and user needs evolve. - Partner with product, engineering, design, research, and data science to connect content quality with user understanding, trust, engagement, and retention. - Document reusable approaches and coach other Content Designers in developing prompts, defining evaluation criteria, and interpreting results. You might thrive in this role if you: - Bring 5+ years of experience in content design, content engineering, or a related discipline, with a track record of delivering work across complex product areas. - Have hands-on experience developing prompts for shipped generative AI experiences and understand model capabilities, limitations, and failure patterns. - Have designed and implemented content evaluation frameworks—and validated how reliably they assess quality. - Have hands-on experience using code and APIs to build repeatable generation and evaluation workflows, and can partner with Engineering to integrate them into production. - Bring strong writing, editorial judgment, and content strategy skills that you can apply across product experiences. - Can turn qualitative and quantitative evidence into clear recommendations and demonstrate how your work improved content quality, team effectiveness, or product outcomes. - Collaborate effectively across technical and nontechnical teams, bringing structure and clarity to ambiguous problems and evolving requirements. 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 Cost Management Lead - AI Infrastructure
About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization enables scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. Our team connects engineering, supplier strategy, manufacturing, planning, deployment, and finance to make hardware cost, supply, and execution tradeoffs clear from early architecture through production and sustaining operations. About the Role OpenAI is seeking a Product Cost Management Lead to own the official costed bill of materials (BOM), system and cluster cost and price baseline, and platform-to-platform total cost of ownership (TCO) for our 1P AI infrastructure. You will turn component, system, POD, manufacturing, deployment, DC, service, and lifecycle inputs into a trusted view of product economics that informs technical and business decisions, including transition timing. You will partner with Engineering, Strategic Sourcing, Manufacturing-partner management, Finance, Planning, Supply Chain Program Management, Operations Program Management, and infrastructure teams to evaluate engineering / design changes, compare alternatives, identify cost-reduction opportunities, and track realized benefits. This is an individual contributor role with broad cross-functional ownership. The ideal candidate combines hardware cost expertise, rigorous modeling, sound judgment, and the ability to explain complex tradeoffs clearly to engineering, operations, and senior leaders. In this role, you will: - Own the official costed BOM and system/pod roll-up by platform, generation, configuration, build phase, volume, and mix. Maintain version control and traceability to quotes, source owners, assumptions, and engineering revisions. - Publish and maintain the system/pod cost and price baseline, reconciling component pricing and manufacturing-partner inputs with approved configurations and planning assumptions. - Build platform-to-platform TCO comparisons covering component content, non-recurring engineering, tooling, manufacturing labor and overhead, yield, scrap, test, logistics, deployment, housing and site costs, power and cooling, networking, spares, service, warranty, and lifecycle costs. - Partner with housing and site teams to integrate their cost inputs into product economics, documenting scope, timing, allocation assumptions, and gaps so platform comparisons are consistent and avoid double counting. - Quantify the cost impact of engineering change orders and notices (ECOs/ECNs), architecture, specification, configuration, and qualification changes before approval. Assess recurring and one-time costs, implementation timing, inventory exposure, and expected benefits. - Develop a prioritized cost-reduction, value-engineering, and second-source opportunity funnel with Engineering, Strategic Sourcing, and manufacturing-partner management. Evaluate qualification costs, investment, payback, supply improvements, and execution risk. - Analyze actual, forecast, quoted, committed, and purchase-price costs against the baseline. Explain material variances, identify root causes, and track recovery actions with accountable owners and dates. - Build sensitivity and scenario analyses for supplier and manufacturing-partner options, capacity, volume and mix, yield, configuration, site, deployment timing, and lifecycle tradeoffs. Present clear recommendations with assumptions, confidence ranges, and decision deadlines. - Validate savings and cost avoidance with Finance and accountable source owners. Distinguish identified opportunities, approved actions, and realized benefits, including offsets and implementation costs. - Establish cost-data definitions, BOM hierarchy, allocation methods, currency and volume assumptions, refresh expectations, and change-control processes. Flag stale, incomplete, or unsupported inputs before they affect decisions. - Lead recurring product-cost and TCO reviews. Publish concise cost bridges, opportunity updates, risks, and decision packages while retaining the supporting detail needed for technical and financial review. - Build scalable models, reporting, and data workflows that improve baseline completeness, refresh speed, analysis turnaround, and decision quality as the hardware portfolio grows. - You will own integrated product economics and the cost-analysis methodology and the cost analysis itself. Strategic Sourcing and manufacturing-partner management retain commercial negotiations; Engineering retains design and qualification authority; DC and site teams own their source inputs; Finance retains budgets, accounting, and financial approvals; Planning owns the demand baseline; SCPM owns material readiness; and OPM owns operational execution. You might thrive in this role if you have: - Significant experience in hardware product costing, cost engineering, supply chain finance, manufacturing cost analysis, or a related role supporting complex technology products. - Experience building and maintaining multi-level costed BOMs, system cost roll-ups, and lifecycle or TCO models across product development, production ramp, and sustaining operations. - Strong understanding of hardware cost drivers, including component pricing, manufacturing labor and overhead, NRE, tooling, yield, scrap, test, logistics, and service costs. - Demonstrated ability to evaluate engineering changes, second-source options, and cost-reduction opportunities using comparable scenarios and transparent assumptions. - Advanced spreadsheet and quantitative modeling skills, with disciplined data reconciliation, version control, and source traceability. - Ability to turn incomplete or changing technical and commercial inputs into defensible analysis, identify uncertainty, and drive input gaps to closure. - Strong cross-functional influence and communication skills, including concise leadership recommendations and detailed working sessions with engineering, sourcing, manufacturing, and finance teams. - High ownership and sound judgment in a fast-moving environment with evolving requirements and competing priorities. Preferred Qualifications - Experience with AI infrastructure, hyperscale data centers, custom silicon, servers, networking, storage, or rack-scale systems. - Experience analyzing JDM, CM, or ODM cost structures and open-book manufacturing models. - Familiarity with DC and site economics, power and cooling, deployment timing, spares, and service costs in infrastructure TCO. - Experience with ERP, MRP, and PLM systems, BOM change control, and business intelligence or automation/AI tools. - A background in engineering, finance, supply chain, manufacturing, or a related analytical discipline. What Success Looks Like - Teams use a complete, current, and traceable costed BOM and system/pod baseline as the source of truth for product economics. - Platform TCO comparisons use consistent scope and assumptions, with inputs validated by their owners. - Material engineering and sourcing decisions include timely cost-impact analysis and explicit tradeoffs. - Cost variances have clear explanations, accountable owners, and recovery actions; savings and cost avoidance are validated. - Leadership receives clear recommendations, and cost-management processes scale with the complexity of the 1P hardware roadmap. 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.
Data Scientist, Cloud Distribution & Growth
About the Team Cloud service providers give developers a way to use OpenAI models in the environments where they already build and run software. Our team works with Go-to-Market (GTM), Product, Engineering, and Finance to understand which customers we can reach through these providers and what helps them grow from a first API call to a production workload. About the Role In your first few months, you’ll identify a customer segment or workload where OpenAI can grow, recommend an investment to GTM, Product, and Engineering, and define how we’ll know whether it brought new usage to OpenAI. Your first priority will be to explain what drives usage and revenue across providers. You’ll use that understanding to help GTM decide which customers and workloads to invest in and to build forecasts the team can plan against. A customer might sign a substantial cloud commitment and send very little traffic. You can sit down with the account team, trace the customer’s first requests, and work out whether they need help launching, access to a different model, or more capacity. When you see the same opportunity across customers, your work can change where OpenAI invests. In This Role, You Will: - Build a reliable view of the business from provider usage reports, billing records, and API logs. Show how new workloads, expansion, changes in price, and shifts in model mix contribute to growth. - Estimate how much demand cloud distribution adds to OpenAI. Trace customer activity across channels to distinguish new use cases from traffic that moved from the direct API. - Identify where customers are ready to scale. Combine what account teams hear with evidence on request failures, latency, and model availability. Work with Product and Engineering on a change and measure what happens to usage. - Shape growth plans with GTM and Finance. Estimate what existing workloads and upcoming launches can contribute by year end, test the assumptions that matter most, and recommend where to focus with each provider. - Own the consumption forecast. Compare forecasts with actual usage over the same period, explain the biggest misses, and use what you learn to improve the next forecast. You Might Thrive in This Role If You: - Like questions that take you from a conversation with an account team to a query about a single API request. You’re curious about why a customer’s behavior differs from what the numbers first suggest. - Are comfortable making a recommendation while some questions are still open. You can tell a sales leader where you’d invest and explain to an engineer what evidence would change your mind. Qualifications - Experience independently leading data science work on a product, growth, or commercial question that changed a business decision. - Strong SQL and Python skills. You can join incomplete datasets, choose the right unit of analysis, and validate an aggregate result against individual customers or workloads. - Experience using cohorts, experiments, or observational comparisons to assess what drove a change. You can explain how customer selection affects the conclusion and evaluate a forecast against a simple baseline. Preferred Qualifications - Experience with API platforms, cloud marketplaces, enterprise GTM, or a usage-based business. - Experience connecting service reliability or capacity to customer adoption, or using demand forecasts to guide a commercial or infrastructure investment. 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 Partner Systems Analyst
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 Partner Experience team is building an AI-native operating model on top of a growing set of partner-facing systems: Salesforce, PEM, the partner portal, enablement and certification platforms, and the integrations that connect them. Our systems lead owns the architecture and data model. Our GTM Systems team builds and releases changes in Salesforce. Our AI Operations Engineer builds the agentic workflows that run on top of it. This role connects the business to all of them: a senior business systems analyst who runs discovery, captures requirements, leads UAT, and publishes release notes for every bug fix, improvement, enhancement, and new build, and who is hands-on enough as a Salesforce admin to keep the platform healthy in production. You'll use Claude every day to draft requirements, write test cases and release notes, and keep documentation current, and you'll be the person who spots which recurring requests should become automations. As our Senior Partner Systems Analyst, you'll own how change happens on the partner systems stack. When a partner program launches, a partner manager needs a new workflow, or a partner can't see their deal registration, you're the first call. You'll sit down with the people who raised it to understand the problem, write requirements the GTM Systems team or the AI Operations Engineer can build from, run UAT with the people who will use it, and publish release notes so nobody has to ask what changed. For smaller fixes, you'll make the change yourself as a Salesforce admin. This is a senior analyst role with real ownership. You'll set up the intake, discovery, UAT, and release processes rather than inherit them, decide what gets worked on first, and make sure nothing ships without agreed requirements, UAT sign-off, and release notes. Key responsibilities - Lead discovery for new requests: meet with partner managers, partner operations, and other stakeholders to understand the problem, map the current process, and size the change before anything is built. - Capture requirements for bug fixes, improvements, enhancements, and new builds: user stories, process flows, field and access definitions, acceptance criteria, and edge cases, precise enough that the systems lead, the GTM Systems team, the AI Operations Engineer, or an implementation partner can build from them. - Work with the GTM Systems team and the AI Operations Engineer through the full delivery cycle for enhancements, improvements, new builds, and bug fixes: hand over requirements, answer questions during the build, review what was built against the acceptance criteria, and coordinate the release. - Own UAT for every change: write the test plan and test cases from the acceptance criteria, coordinate testers from the partner team, log and retest defects, collect sign-off, and smoke test in production after each release. - Write and publish release notes for every release: what changed, who it affects, and what users need to do differently, in language partner managers can act on. - Prioritize the backlog with stakeholders, weighing partner impact, risk, and effort, and keep a clear, visible view of what's coming next and why. - Serve as the point of contact for bugs, enhancement requests, and system questions across Salesforce, PEM, and the partner portal, and own the intake queue end to end. - Triage production incidents: reproduce the issue, assess impact and severity, resolve it or route it to the right owner, and keep affected teams updated until it's closed. - Administer Salesforce for the partner org: objects, fields, page layouts, validation rules, flows, permission sets, reports, and dashboards. - Understand how data moves between Salesforce and PEM, monitor integration health, and diagnose sync failures, mapping errors, and access issues. - Document the platform: system documentation, data dictionary, integration maps, and admin runbooks. - Identify repeatable admin and support requests, log them as automation candidates, and partner with the AI Operations Engineer to move them off the manual queue. Minimum qualifications - Experience running discovery and requirements sessions with business stakeholders, and turning what you hear into user stories, process flows, and acceptance criteria. - A track record of working with a systems or engineering team through a build, from requirements handover to release. - Disciplined testing habits: you have planned and run UAT with business users, with test cases written from acceptance criteria, defects tracked to closure, and sign-off before release, and you don't consider a change done until it has been smoke tested. - Clear written communication: your requirements get built correctly the first time, your release notes tell non-technical users what changed and what to do, and your documentation is something people actually use. - You already use LLM tools like Claude in your day-to-day work and can show where it changed how you gather requirements, test, or document. - A track record of owning a production Salesforce org or business systems stack, including the intake, triage, and release processes around it. - Strong Salesforce admin skills: declarative configuration, flows, validation rules, the security and sharing model, and reporting. - Working knowledge of integrations: how records sync between systems through APIs or middleware, how to read an error log, and how to trace a data issue back to its source. - A structured approach to incidents: you separate symptoms from root cause and communicate clearly while things are broken. - Judgment about priorities: you can say "no" or "not yet" and explain why. Preferred qualifications - 5+ years as a business systems analyst, Salesforce administrator, or in a similar role where you owned discovery, requirements, and UAT for business systems, ideally supporting a partner, sales, or customer success organization. - Experience working in a sprint-based delivery model, with a shared backlog and regular sprint reviews. - Experience with partner relationship management (PRM) platforms, partner portals, or channel programs such as deal registration, certifications, or MDF. - Salesforce release management experience: sandboxes, change sets or DevOps tooling, and deployment checklists. - SQL or scripting skills for data investigation and cleanup. - Salesforce Administrator, Platform App Builder, or Business Analyst certification. How this role works with the team You'll work day to day with our Partner Business Systems Lead, who owns systems architecture and the partner portal, the GTM Systems team, who build and release changes in Salesforce, and our AI Operations Engineer, who builds the agentic workflows that run across those systems. The systems lead designs the platform, the GTM Systems team and the AI Operations Engineer build on it, and you connect the business to the build: you run discovery, capture the requirements, lead UAT, and publish the release notes for enhancements, improvements, new builds, and bug fixes. You'll also be the main point of contact for partner managers and other internal teams who depend on these systems. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 - $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Research Engineer / Research Scientist, Human Flou...
About the Team The Human Flourishing team’s mission is to ensure AI systems understand and advance human flourishing. As AI becomes more capable and plays a larger role in people’s lives, we want its human benefits to grow with its capabilities. The Human Flourishing team is part of the broader Personal AGI organization. Our approach has two parts. Firstly, we measure and improve models’ understanding, capability, and propensity to act according to people’s values and to help them achieve their long-term goals. Secondly, we directly scale tangible impact for users in human domains like education and mental health, working across research, product, and partnerships to increase the benefits over a billion people experience weekly when they use ChatGPT. Our recent work includes Beneficial RL , which investigates how training for beneficial behavior generalizes across settings, and MentalHealthBench , a benchmark developed with mental health experts to evaluate realistic conversations. About the Role We’re looking for an exceptional, hands-on researcher to turn difficult-to-define signals of long-term flourishing into measurable improvements in model behavior. You’ll help set research direction, build what is needed to test your ideas, and drive successful work into the models and products we ship. We’re especially interested in researchers with deep experience improving frontier models through pretraining or reinforcement learning (RL) / post-training, especially on less verifiable problems, or researchers who combine strong LLM skills with deep expertise in domains like education or mental health. Prior experience in these domains is not required. In this role, you will - Develop scalable training methods across the training stack that improve how models understand people’s values, support their agency, and help them achieve long-term goals. - Lead high-leverage research from an open question to a shipped improvement: choose a hard-to-define problem, iteratively define success, run experiments, and integrate into frontier models. - Build RL environments for difficult-to-verify outcomes, and study whether beneficial behavior generalizes across settings. - Create evaluations grounded in human expertise and feedback that reveal capability gaps, unintended incentives in RL, and failures that aggregate scores can miss. - Test whether measures of model behavior predict better learning, wellbeing, and other long-term outcomes, and use those findings to guide training. - Build new 0→1 capabilities in human domains that may have an increasing impact with upcoming increases in model intelligence and test-time compute. - Partner with product teams, engineers, partnerships teams, and domain experts to deploy promising methods, measure their effects in real use, and turn what you learn into further improvements. - Assess AI’s impacts on human flourishing at the scale of over a billion users. You might thrive in this role if you - Care deeply about helping AI improve people’s lives, and feel this is a responsibility that comes with increasingly capable models. - Have an unusually strong research record in pretraining or RL / post-training research, especially in a hard-to-verify area; or combine strong LLM research skills with deep expertise in education, mental health, or a related field of human benefit. - Are a hands-on builder who can turn ideas into rigorous experiments, write and debug code, and work directly with data and training infrastructure. - Have the taste to choose consequential problems and actionable steps on the path to solving those problems. - Take ownership of ambiguous problems and choose methods based on the impact they can deliver, including when the most useful work is unglamorous. - Care about whether a capability will scale, generalize, and make it into the real world—not just whether it can be shown in a paper or prototype. - Work well across disciplines and can grok the most important bottlenecks to scaling our impact in a multidisciplinary problem. If you’re excited about ensuring AI systems advance human flourishing, we’d love to hear from you. 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.
Regional Research Economist, Economic Research
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will collaborate with governments, academia, industry, and civil society in your region to measure and understand AI’s effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigor will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We’re building first-of-its-kind datasets tracking AI’s impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. For this role, we’re looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI’s transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Key responsibilities - Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region - Advance research collaborations that answer country- or regional-specific economic impact questions - Translate research insights into actionable recommendations for policy discussions - Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country- and regional-specific analysis - Design and collaborate on empirical research on AI’s economic effects with governments, academia, industry, and civil society in your region - Develop new methodological approaches, in collaboration with partners in your region, for studying AI’s impact on labor markets and the future of work; productivity and task transformation; economic inequality and displacement; industry-specific disruption and adaptation; and aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios - Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection - Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications - PhD in Economics - Strong track record of empirical research, particularly studies combining novel data sources and economic theory or implementing frontier methods in causal inference and machine learning - Demonstrated experience working in, and relevant relationships across, the region - Proficiency in Python, R, SQL, or similar tools for large-scale data analysis - Demonstrated ability to lead complex research projects from conception to publication - Demonstrated ability to communicate technical findings to diverse audiences - Demonstrated ability to build relationships across academic, policy, and industry communities Preferred qualifications - Experience relevant to the study of AI’s impact on the economy, such as labor market analysis and occupational change; task-based approaches to technological transformation; large-scale data analysis and econometric methods; large language models for social science research; policy-relevant economic research; experimental and quasi-experimental methods for causal inference; macroeconomic modeling and time series forecasting; or agent-based modeling and large-scale simulation - Experience working with novel datasets and measurement systems - Comfort learning new technical tools and frameworks - Strong interest in ensuring AI development benefits humanity - Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects - How Australia Uses Claude: Findings from the Anthropic Economic Index - Anthropic Economic Index Report: Economic Primitives - Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption - Estimating AI productivity gains from Claude conversations - The Anthropic Economic Index 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, OpenAI for Government
About the Team The OpenAI for Government AI Architect team partners with public sector organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with government agencies, public institutions, and partner organizations serving the government to identify where AI can advance critical missions, 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, Security, Global Affairs, and specialist delivery teams to help public sector customers adopt advanced AI responsibly and effectively. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy and guide their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable mission impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate mission priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value. The Account Director leads the overall account strategy and relationship, while you lead the technical strategy, customer journey, and path to production impact. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong public sector fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role is based in Munich or London. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: - Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of public sector customers and pre-sales prospects. - Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. - Lead discovery with agency leaders, mission owners, executives, and technical teams to identify, qualify, and prioritize use cases tied to meaningful mission and operational outcomes. - Develop clear Applied AI Architectures spanning models, applications, data, integration, identity, security, privacy, governance, evaluation, and deployment. - Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, building confidence in both the solution and its path to production. - Help customers navigate the security, compliance, governance, and deployment requirements that shape AI adoption in the public sector. - Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. - Develop trusted relationships and technical champions across CIOs, CTOs, CISOs, Chief Data and AI Officers, program leaders, engineering teams, and other customer stakeholders. - Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, security, product and domain specialists, partners, and other delivery teams. - Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. - Track adoption, usage, account health, production readiness, and measurable mission impact, intervening early when risks threaten value realization. - Apply public sector and mission expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. - Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: - Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. - Have guided complex organizations from technical evaluation through production adoption and measurable impact. - Have experience working with government agencies, public institutions, or government contractors and understand how mission priorities, security, compliance, governance, and procurement considerations shape technology adoption. - Build credibility with senior technical and government leaders while communicating equally well with hands-on engineers and program teams. - Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. - Understand modern AI systems, frontier models, agentic applications, model evaluation, retrieval, and enterprise AI workflows. - Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. - Exercise sound judgment about when to go deep personally, when to involve specialists, and how to establish clear handoffs and ownership. - Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. - Bring meaningful expertise in a relevant public sector mission or customer segment. - Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. - Work collaboratively across disciplines and care deeply about helping public sector organizations deploy advanced AI safely and responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Science Tech Lead Manager, Model Experience
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 our growing Data Science and Analytics team, you will play an instrumental role in our company's mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You'll be the senior data science leader for Model Experience and a strategic thought partner to product, engineering, and research leaders. Working where frontier AI research reaches the public, you'll help shape model roadmap and launch decisions, bringing a point of view on how users experience our models and what good looks like beyond benchmark scores. As a tech lead manager, you'll also hire and manage a team of data scientists, setting their agenda, personally leading the highest-stakes analyses, and raising the bar for how data shapes model and product decisions. Responsibilities: - Act as a strategic thought partner to product, engineering, and research leaders, helping shape model roadmap priorities, launch decisions, and the major bets the team makes - Set the data science agenda for Model Experience, deciding where the team can have the most impact on model development and launch decisions and what it should deprioritize - Hire, manage, and develop a team of data scientists, coaching them to move from answering questions to shaping decisions - Frame the most important and ambiguous questions about model quality and user experience, size the opportunities, and make clear recommendations, including when they challenge the current direction - Define how Model Experience measures success, establishing the core metrics and measurement frameworks across external products and internal testing that align teams and leadership on what matters - Set the standard for experimentation and causal inference across Model Experience, including where launches lack a clean A/B test, and personally lead the highest-stakes analyses - Turn complex analyses of model and user behavior into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners - Establish foundational data practices and shape the analytics infrastructure Model Experience needs to support rapid iteration and decision-making as our models and products evolve You may be a good fit if you: - Have extensive experience in data science, including leading analytics for a product or research area at significant scale - Have 3+ years managing data science teams, including setting team direction, hiring, and developing senior data scientists - Have been a trusted partner to senior product, research, and business leaders, with clear examples of changing a roadmap or high-stakes decision - Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information - Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others' technical work - Communicate clearly in writing and in presentations, including to executive audiences - Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress - Care about the company's mission of building helpful, honest, and harmless AI - Strong candidates may also have: - Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem - Experience as a tech lead manager or player-coach, balancing hands-on technical work with people management - Experience building or scaling a data science team in a fast-growing organization - Experience working closely with Product or Research teams, especially on LLM or AI products - Comfort working with unstructured data The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 - $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.
Forward Deployed Engineer (FDE) - AI Infra - SF
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers lead complex deployments of frontier models in production. You will embed with customers where model performance matters, delivery is urgent, and ambiguity is the default. You will use this to map their problems, structure delivery, and ship fast. As a Forward Deployed Engineer for AI Infra, you will work directly with customer engineers, researchers and product engineers on optimization problems across semiconductors and AI infrastructure. You will write and debug software, run experiments against real workloads and hardware, and improve the tools and product used across engagements. You will help define the problem and success criteria, build the software needed to test an approach, and stay with the work through validation and deployment. Work may include inference performance and chip-design optimization. Success means producing results that stand up to correctness and performance checks, and contributing improvements that other engagements can use. Success in this role means owning the delivery state across workstreams. You will hold the bar on quality and pace and help OpenAI learn through execution. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Own technical delivery for agreed semiconductor and AI-infrastructure workstreams, from initial scoping and prototypes through validation, production deployment and adoption. - Work closely with customer engineers to understand their workflows and constraints, define workloads, baselines and success criteria, and help what you build become part of how they work. - Scope and sequence delivery , identify dependencies and blockers early, and make practical trade-offs between scope, speed and quality as the work develops. - Personally build and debug production-quality software , including harnesses, integrations and product features that apply frontier models to problems in chip design, verification, inference and performance engineering. - Design reproducible experiments, evaluations, graders and benchmarks to test approaches, validate correctness and performance, and establish whether improvements hold up in real engineering environments. - Investigate model behavior and failure modes alongside researchers , contributing evaluation or training data and targeted experiments where they can improve the underlying capability. - Contribute directly to core product development , working with product engineers to resolve tooling gaps, ship useful improvements and bring field learning into product decisions. - Lead technical discussions and maintain alignment across customer, Product and Research teams. Build the domain and product fluency to explain capabilities, limitations and results, and keep ownership, risks and next steps clear. - Turn successful approaches into reusable software, tools and playbooks , reducing the effort needed for future engagements and helping customer teams operate what has been built. You might thrive in this role if you: - Bring 5+ years of engineering or technical deployment experience that includes customer-facing work - Have scoped and delivered complex systems in fast-moving or ambiguous environments - Write and review production-grade software, and debug unfamiliar systems across code, integrations and runtime behavior. - Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience - Simplify complexity and make fast, sound decisions under pressure - Communicate clearly with engineers, product teams, and customer stakeholders - Spot risks early and adjust without slowing down - Model calm and judgment when the stakes are high - Have a strong product sense and have contributed towards productizing efforts - Have hands-on experience with applied machine learning, model evaluation, data quality, experimentation, or model-behavior analysis - Can turn an ambiguous technical problem into a clear evaluation, a credible baseline, and a reproducible experiment - Are comfortable learning unfamiliar technical domains and working closely with researchers, product engineers and customer engineers. Experience in semiconductor development, data-center systems or inference engineering is helpful. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Applied AI Engineer, Digital Natives
About the team The Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our São Paulo, Brazil office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API. - Forge relationships with CTOs, AI Product and engineering leaders to ensure their application’s successful deployment at scale. - Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. - Build targeted prototypes, pilots, and model evaluations with customer teams to test product ideas, guide architecture decisions, and inform their product roadmaps. - Collaborate with our Product and Research teams in validating upcoming frontier AI capabilities in customer environments, and deliver high-signal feedback to steer OpenAI’s roadmap. - Scale the Applied AI Engineer function through sharing knowledge and publishing best-practices to our internal and external repositories. - Evaluate emerging model capabilities, developer tools, and implementation patterns, and translate relevant advances into practical recommendations for customer applications. - Work alongside customer teams through on-site workshops and implementation sessions, helping resolve technical challenges and strengthen relationships. This includes occasional travel. You’ll thrive in this role if you: - Bring 8+ years of deep, hands-on technical experience and an eagerness to work closely with customers. Our team consists of former startup founders, software and ML engineers, technical product managers and solution architects. - Have a track record of personally leading complex, production-scale AI/ML systems from ambiguous discovery through production deployment, adoption, and measurable business impact. - Are passionate about being on the forefront of the latest AI industry trends, incl. agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security. - Are proficient in Python, JavaScript, TypeScript, or similar languages and are comfortable building production-quality prototypes and reference implementations. - Demonstrate strong technical judgment: know when to go deep personally, when to mobilize specialists, and how to make clear recommendations with incomplete information. - Have a humble attitude and an eagerness to help others with empathy. - Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. - Thrive in dynamic environments and can navigate ambiguity with ease. 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.
Anthropic Research Resident
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect - A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers - Access to Claude models and GPU compute - Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you - Are motivated by making sure AI is safe and beneficial for society as a whole - Are excited to transition into working on empirical AI research full-time - Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) - Thrive in fast-paced, collaborative environments - Can implement ideas quickly and communicate clearly Strong candidates may also - Have experience authoring research papers in machine learning, NLP, or AI safety - Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: - Sara Price : leads the Alignment Training team; background in data science - Ethan Perez : leads the Alignment Science team; background in machine learning - Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) - Samuel Marks : leads the Scalable Oversight team; background in mathematics - Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics - Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) - Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience - Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain - Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment - Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. - Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. - Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. - Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. - Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. - AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming - Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning - Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics - Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. - Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. - Commitment: Full-time role for the duration of the residency. - Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits - Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 - $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Applied Data Scientist, Personalization & Machine...
About the Team We work across product, growth, and monetization to help people get more value from OpenAI’s products. We identify opportunities for machine learning, build and test early solutions, and partner with engineering and product to bring successful approaches into production. About the Role We’re looking for a data scientist who can enter an unfamiliar product area, find a useful ML application, and turn it into a working product intervention. You will own the work from problem definition and data preparation through modeling, experimentation, and launch evaluation. Projects will include personalization, next-best-action recommendations, lifecycle management, promotion targeting, and models of retention and customer lifetime value. You will help identify opportunities, build proofs of concept, evaluate, and iterate. In this role, you will: - Identify opportunities with product and business partners, define the decision a model will inform, and prioritize work by user value, feasibility, and expected impact. - Build datasets, features, reproducible training workflows, and models. You’ll use a combination of tools appropriate to the task at hand. - Translate predictions into product actions. Design experiments and use causal reasoning to establish whether those actions improve user and business outcomes. - Partner with engineers on integration, serving or batch scoring, monitoring, and rollout. Stay involved through launch and iteration. - Explain results and limitations clearly, document decisions, and build reusable methods that other teams can adopt. You might thrive in this role if you: - Have built and evaluated applied ML systems that influenced a product or business decision, with clear ownership of the modeling work. - Write effective Python and SQL and can investigate imperfect data, debug models, and make pragmatic implementation choices. - Build and schedule production scoring pipelines using dbt, airflow, and flyte. - Understand supervised learning, evaluation, experimentation, and the difference between predicting an outcome and changing it. - Can scope ambiguous problems, work across disciplines, and explain technical tradeoffs to colleagues with different backgrounds. - Are motivated by helping people use AI effectively and by learning unfamiliar product domains. - Are excited to take on challenging, impactful ML problems across multiple areas. - Have experience with recommendation systems, personalization, growth, retention, lifetime value, or treatment-effect modeling would be useful. We welcome candidates whose relevant experience comes from other domains. 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.
Technical Project Manager / Engineering Lead – AI/...
SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value. We are seeking a highly technical and strategic Project Manager / Engineering Lead to own and advance our engagement with a key strategic partner. The ideal candidate will be the central hub for all technical, operational, and strategic activities. You will be responsible for ensuring the technical success of joint projects, managing complex deliverables, leading a cross-functional engineering team, and deepening the customer relationship to secure future business. This role requires a unique blend of deep technical understanding of AI/ML systems, exceptional project management skills, and strong customer-facing abilities. Key Responsibilities - Technical Project Leadership & Execution: - Own the end-to-end planning and execution of complex technical evaluation projects ● Develop and maintain detailed project timelines, ensuring alignment between engineering efforts and customer milestones. - Lead daily standups and syncs to track progress, identify risks, and unblock the engineering team - Manage deliverables such as performance benchmarks, technical reports, and software artifacts. - Customer & Stakeholder Management: - Serve as the primary technical point of contact for the customer's engineering teams. - Manage customer expectations, clearly communicating project status, capabilities, and limitations. This includes being candid about software maturity and guiding the customer toward successful outcomes - Translate customer requirements and feedback into actionable engineering tasks. - Prepare and deliver technical briefings and reports to customer stakeholders at all levels. - Cross-Functional Team Coordination: - Coordinate the work of a large, distributed team of engineers specializing in compilers, performance SDKs, model bring-up, systems, and packaging. - Clearly assign action items and ensure accountability across different functional groups. ● Facilitate collaboration between internal teams (e.g., Product, Engineering, GTM) to ensure a unified strategy. - Technical Analysis & Strategy: - Understand and articulate the technical differentiators of the platform, such as scale-up/scale-out (SUSO) performance, compilation workflows, and comparative analysis against competitors - Drive technical decisions on project scope, such as selecting which models (e.g., Llama 70B/405B, Qwen, GLM) to focus on and defining the success criteria for deep engagements. - Analyze project outcomes to inform product roadmap and future sales strategies. Qualifications & Experience Required: - Fluent in Japanese and English. - Experience in supporting strategic Japanese and US high technical companies. Can manage cultural and time-zone differences. - 10+ years of experience in a technical project management, engineering lead, or customer-facing architect role within AI/ML, HPC, or systems infrastructure. - Proven experience managing complex software/hardware integration or evaluation projects with tight deadlines. - Strong understanding of AI/ML workloads, including model training, inference, and the associated software stack (e.g., PyTorch, vLLM). - Excellent communication skills, with the ability to explain highly technical concepts to both engineers and executive stakeholders. - Demonstrated ability to lead and influence cross-functional teams without direct authority. Highly Desirable: - Hands-on experience with large language models (LLMs) and mixture-of-experts (MoE) models. - Background in performance analysis and benchmarking of AI systems. - Familiarity with compiler technology, parallel programming, or high-speed networking. Success Metrics In the first 6-12 months, you will be successful if you: - Seamlessly take over the existing engagement and maintain strong customer satisfaction. - Successfully execute the next phase of technical projects, leading to a repeat purchase or expansion of the partnership. - Establish yourself as the trusted technical advisor for the customer. - Improve the efficiency and clarity of cross-functional team coordination. Base Salary Range: Base Pay Range ¥15,000,000 - ¥20,000,000 JPY Submission Guidelines Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. EEO Policy SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws. Benefits Summary for US-Based, Full-Time Employment Positions SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Staff Machine Learning Engineer, App Ads Modeling
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Reddit has a flexible first workforce! We’re looking for a Staff-level Machine Learning Engineer to join Reddit’s Ads Ranking Org. This role is part of a broader effort to enhance Reddit’s ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling. The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org. Responsibilities: - Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking - Develop and optimize features including embeddings, contextual signals, and cross-session behavior - Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis - Mentor other MLEs and contribute to modeling best practices across the org - Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.) Required Qualifications: - 7+ years of industry experience, including several years in applied ML roles - Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch) - Strong background in recommendation systems, ads ranking, or similar domains - Experience working with large-scale datasets and complex feature pipelines - Strong problem-solving and experimentation skills - State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys) - Knowledge about Recsys or Ads funnel - Track record of delivering high-impact models in production settings - Comfort collaborating with infra and data teams on feature serving and training pipelines Preferred Qualifications: - Experience with conversion modeling, app ads, or performance/brand ads - Experience in ads marketplaces at peer companies - Publications, patents, or industry contributions in applied ML or ranking systems Benefits: - 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) - Comprehensive Healthcare Benefits and Income Replacement Programs - 401k with Employer Match - Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support - Family Planning Support - Gender-Affirming Care - Mental Health & Coaching Benefits - Flexible Vacation & Paid Volunteer Time Off - Generous Paid Parental Leave LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 - $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Manager, Technical Deployment
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. Responsibilities - Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar. - Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room. - Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there. - Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team. - Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders. - Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes. - Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment. - Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story. - Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late. - Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets. - Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning. - Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes. - Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions. - Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments. - Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US. You May Be a Good Fit If You - Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes. - Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites. - Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments. - Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering. - Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy. - Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. - Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement. - Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage. - Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team. - Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 - £230,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Senior Machine Learning Engineer, 3D Data
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. As a Machine Learning Engineer on the Foundation AI organization, you will sit at the epicenter of our foundation model efforts. While the research world is focused on architecture, you will be the architect of the data flywheel that makes 3DGen possible. You aren't just building pipelines; you are building the infrastructure that defines how our models perceive and generate virtual worlds in three dimensions and across time. In this role, you will partner directly with our AI researchers to advance beyond experimental datasets and into the realm of dynamic, high-fidelity 3D data synthesis and evaluation. You will bridge the gap between research prototypes working locally to scaling for millions of users. You will design, implement, and scale robust, high-performance infrastructure to crawl, create, curate, store, and serve the massive 3D datasets required for these models. We are seeking accomplished software engineers with a passion for data, experience building large distributed systems, and a commitment to writing high-quality, well-tested code to solve complex data challenges at scale. Your contributions will ensure that our foundation models receive the highest quality data, thereby supporting the next generation of creative AI. You will: - High-Scale Data Orchestration: Architect and maintain automated pipelines for the ingestion, cleaning, and pre-processing of 3D datasets spanning petabytes of data - Synthetic Data Generation: Research and implement synthetic data creation pipelines. - Research-to-Production Bridge: Collaborate closely with ML Engineers and Data Scientists to understand their data requirements, build tooling that streamlines their data workflows, and troubleshoot data-related system issues - Scalable Evaluation Frameworks: Build and own evaluation—automating both heuristic-based metrics and human-in-the-loop interfaces to evaluate and benchmark training datasets and in-house foundation models - Model Deployment & API Architecture: Design and optimize high-throughput, low-latency Inference APIs for internal and external consumer access - Autonomous SOTA Tracking: Actively participate in literature reviews and paper reading groups to identify and implement the latest optimizations in generative modeling - Resource Efficiency & Observability: Implement monitoring pipeline health, optimizing data loading to ensure GPUs are used efficiently You have: - 5+ years of experience as a research-focused data systems engineer (preferably working with 3D generative models) - Expertise in building scalable ML data pipelines for both batch and real-time environments. Experience working with and processing very large datasets (Petabytes or more) - Versatile: You're a generalist and you are comfortable with several languages and technologies already; you are adaptable in any situation - Team-Player & Technical Leader: You are a collaborative team member who actively mentors peers, drives technical excellence, and takes ownership of leading and delivering key features and projects across team boundaries - Python Proficiency: You can write high-quality Python code for automation, tooling, and infrastructure management - Are passionate about the potential of generative AI, particularly in creative domains like 3D/4D content. - A Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field Nice to have: - MLOps & Data Versioning Expertise: Experience with experiment tracking platforms (e.g., Weights & Biases, MLflow) and managing versioning for massive-scale datasets. - Custom Tooling & Annotation Infrastructure: Proven track record of developing internal human-in-the-loop workflows and annotation tooling tailored to 3D or video data. - Low-Level Optimization (C++): Strong C++ proficiency to optimize data-loader performance and extend underlying core engine functionality. - Game Engines & DCC Tools: Hands-on experience developing in Roblox Studio or working with digital content creation tools such as Blender, Unreal Engine, or Unity. For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page . Annual Salary Range $212,490 - $295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Full-Stack Software Engineer, Experience
About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: Pinecone is looking for a full-stack engineer to bring a new level of visibility, control, and trust to our product experiences. From cost metrics and spend alerts to interactive usage dashboards, we’re looking for a product-focused engineer who will deliver transparent and accurate insights to our customers. As a member of the Experience Platform team, you’ll have direct ownership over the billing, management, and authentication interfaces that we need our customers to understand and trust. You understand the responsibility and care this type of work requires, while also moving quickly to match Pinecone’s rapid growth. You’ll do this by working closely with product, design, and other engineering teams to identify user and system needs and build the right thing, at the right abstraction level, at the right time. Responsibilities: - Shape our product experience. Influence the rollout of products, propose and build new features, and advocate for experiences that will build confidence with our customers. - Ship end-to-end experiences across API, SDK, and web. You'll own the full surface, from the HTTP layer to the UI, and you'll make calls across all of it. - Own integrations with billing systems and vendor APIs , designing for resiliency against outages, schema drift, and inconsistent data. - Create observable, auditable systems with monitoring, alerting, and verification mechanisms that give leadership and customers confidence in the numbers. - Bring AI-assisted development practices to the team — use the best tools available and help establish patterns that let a small team move at a pace that shouldn't be possible. - Partner with finance, product, and design to translate business requirements into scalable technical solutions, and push back when the abstraction level isn't right. Requirements: Engineers at Pinecone operate with high autonomy. You'll be an active partner in setting strategy on APIs, interfaces, observability, and our product experience — not just executing on a roadmap. We care more about how you think and how you work than whether your resume checks every box. In exchange, we’ll make sure you’re set up for success with mentorship and technical guidance. You should have: - At least 2 years of software engineering experience - A bias toward automation and leverage — you reach for systems and tooling before you reach for elbow grease - Hands-on experience shipping with AI coding tools (Claude Code, Cursor, Copilot, or similar) as a genuine part of your workflow - Proven ability to design and deliver APIs for a rapidly scaling product surface - Proficiency building web interfaces with React or similar - Experience with at least one major cloud provider (AWS, GCP, Azure) - Strong intuition for what makes APIs easy for both humans and agents to use correctly Bonus points for: - Experience at a SaaS company with usage-based or consumption pricing models - Experience building billing-specific features, such as usage dashboards or cost reporting - Strong familiarity with a compiled language like Rust, Go, or Java - Experience integrating with third-party financial APIs and building defensively against inconsistent or delayed data - Experience with queueing and streaming technologies such as Kafka, Kinesis, or Pub/Sub Perks & Benefits: - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.
Head of GTM Strategy and Planning
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI. The Role Reporting to the Head of Sales Strategy & Analytics, the GTM Planning Lead is responsible for translating GTM strategy into capacity plans, territories, quotas, and incentive design that drives the right outcomes across direct and partner motions. You will operate as a strategic advisor to GTM and Finance leadership, balancing competitiveness, simplicity, scalability, and financial discipline. You will lead capacity planning (HC and GPU), overall target design (booking, consumption, pipegen), territories, and incentive design to enable Fireworks’ rapid expansion across the globe. Your work will directly influence revenue predictability, seller behavior, retention, and long-term growth. This is not a pure admin seat and not a blank-slate build. You inherit a working in-house commissions stack and extend it as Fireworks scales. Consumption and hybrid commit + usage economics are core to how we sell and how our business grows. The right candidate has intimate knowledge of business models that rely on a usage-based or hybrid commercial model — not only license ARR — and can design capacity plans that meet our strategic objectives. You will publish the annual plan in conjunction with GTM leadership and Finance, deliver territories and quotas on schedule, and run attainment diagnostics on a regular cadence. Responsibilities GTM Planning, Capacity & Quotas - Design and drive the annual Go-To-Market planning process for the COO organization - Leading GTM capacity planning and target-setting, translating growth targets into coverage, headcount, and productivity plans across Sales, Field Engineering and CS. - Developing and evolving target-setting methodologies, ensuring targets are grounded in market opportunity, historical performance, and productivity expectations. - Partnering with Finance and GTM leadership to model capacity needs, ramp assumptions, productivity, and hiring requirements for annual and long-range planning, including scenario models that show the tradeoffs between headcount, pipeline, compute supply, productivity, and revenue before decisions are made. - Establishing planning frameworks and analytics to monitor capacity, quota attainment, and productivity and inform in-year adjustments. - Design and manage process to forecast GPU demand; Ensure alignment with GPU management team Strategy, Territories & Incentive Compensation - Own market sizing, segmentation, and account tiering, and design territories and account assignment annually and in-year. - Partner with Sales, Finance and Partnerships leadership on route-to-market and channel/partner coverage strategy. - Co-design the compensation plan with Sales leadership, Finance and the compensation design team Operating Rhythm & Forecasting - Run the planning cadence: pipeline-coverage inspection, QBR inputs, and in-year re-forecasting and plan changes. - Diagnose attainment and productivity gaps across ramp, coverage, pipeline and consumption, and recommend actions. Systems, Forecasting & Automation - Build and own a native end-to-end process and tooling for automation of business plan modeling. - Partner with Data Engineering and GTM Engineering on source-of-truth data (CRM, billing/usage, roster/quotas) so calculations are reproducible and auditable. Qualifications - 9+ years in GTM planning, quota setting, and/or productivity-related revenue operations work streams at a high-growth company, including ownership of a plan presented to a board or CFO - Significant experience in relevant fields and a comprehensive understanding of go-to-market design & sales planning, including territory design and incentive compensation - Significant experience interacting with C-suite Executives and closely partnering with Leaders at the VP level and below - Advanced analytical and financial modeling skills with a superb ability to drive high value insights - Hands-on experience planning a consumption-based or hybrid commit-plus-usage business - SQL and BI fluency, and experience with a planning or forecasting platform (for example Anaplan, Clari or Xactly) - BA/BS degree in engineering, accounting, finance, economics or other quantitative fields preferred Preferred - Experience at an AI/ML infrastructure, developer tools, or API-first company - Familiarity with manager overrides, overlay roles (e.g. SAs / field engineers), marketplace/channel nuances, and self-serve → sales-assisted conversions - Experience scaling a GTM organization through hypergrowth - Background in investment banking, finance or management consulting Why Fireworks? - Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. - Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. - Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. - Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
State and Local Affairs Lead, West
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 State and Local Affairs Lead to engage with state and local governments in the Western United States, advancing AI policy, legislation, and regulation that supports Anthropic's mission of ensuring that the world safely makes the transition through transformative AI. In this role, you will report to Anthropic's Head of Western State and Local Affairs and coordinate with our Policy leadership, Communications, and Legal teams. You will own Anthropic's relationships and legislative and regulatory work across many Western states, including a support role in California —engagement with state legislatures, governors' offices, attorneys general, state agencies, and local governments. You will travel regularly across the region. Successful candidates will demonstrate a track record of political strategy and execution—with specific examples of how you have contributed to complex policy campaigns, built durable relationships with elected officials and community leaders, supported legislative and regulatory outcomes, and executed with accountability and focus in fast-moving environments. Anthropic is equal parts research lab, policy think-tank, and technology startup. We care deeply about safe development of AI systems, and build partnership with governments through proactive, opinionated, substantive policy conversations. We recognize that our approach to AI policy is distinctive—grounded in honest assessment of technological trajectories and authentic concern for safe scaling—and we need a regional lead who can bring that positioning to life at the state and local level. This role offers an opportunity to be part of building a high-impact state affairs operation at a critical moment for AI policy. You will be responsible for executing on strategic priorities across your region, building relationships with government stakeholders, and contributing to the broader state affairs function. Key responsibilities - Serve as Anthropic's lead for state and local government affairs across many Western states, working in close coordination with the Head of Western States and other Regional State and Local Affairs Leads - Build and maintain relationships with state legislators, legislative staff, governors' offices, attorneys general, and state agency leaders across your region - Engage directly with local officials whose decisions affect Anthropic's work—mayors, city councils, county commissions, and economic development boards - Track state and local legislation and regulatory proceedings affecting AI and the technology sector, provide analysis and intelligence to inform company strategy, and represent Anthropic's positions - Build durable partnerships with local and regional organizations, including chambers of commerce, economic development groups, labor organizations, universities, and school districts - Represent Anthropic at legislative hearings, regional events, and public forums, including with audiences who are skeptical of AI - Work with the Communications team to develop clear, accurate messaging for regional policy campaigns - Translate Anthropic's technical research and policy positions into engagement strategies tailored to Western state political environments - Manage the outside advisors and registered lobbyists who support Anthropic's work in your region - Coordinate with Anthropic's policy, communications, legal, and executive teams to ensure that regional activity aligns with company-wide positioning Minimum qualifications - Align with our mission and embrace the imperative of policy impact and change - Have experience in state and local government affairs, political strategy, or legislative roles, with demonstrated success contributing to legislative and regulatory outcomes - Have existing relationships with state and local leaders in the West, including legislators, governors' offices, attorneys general, or county and municipal officials - Understand how state legislatures and executive branches work—committee processes, legislative and regulatory procedures, and how to move policy forward—and understand where local authority begins and ends - Have a track record of executing on strategic objectives and delivering measurable outcomes in government affairs roles - Are prepared to travel regularly across the region Preferred qualifications - Have 8+ years of experience in state and local government affairs, political strategy, or legislative roles - Have experience building partnerships with external organizations including chambers of commerce, economic development groups, labor organizations, and universities - Have exposure to technology policy or emerging technology regulation; you understand the unique challenges of navigating policy for rapidly evolving technologies - Demonstrate understanding of how to build coalitions and identify aligned constituencies to advance shared objectives - Can manage multiple priorities and stakeholder relationships across different states and adapt to different political environments - Can work well under time pressure and manage competing demands - Can translate complex technical topics into clear, accessible language for policymakers and residents alike - Have experience working with communications teams to develop effective messaging for policy campaigns - Are comfortable being honest about tradeoffs, including in rooms where people disagree with us - Are drawn to working with an organization that approaches AI policy with intensity and intellectual honesty 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 - $265,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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