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Policy Design Manager, Conventional Weapons
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Safeguards organization builds the policies, evaluations, and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll own our conventional weapons work. Defining a crisp boundary between acceptable and harmful requests in this domain is difficult, because the underlying components are dual-use: the same capabilities that serve civilian engineering and research can also contribute to a weapons system. Building the threat models, evaluations, and detection systems that hold that boundary is the core of this role. Conventional weapons are increasingly defined by software, and the risks reach well beyond firearms: from a model operating a weapons system or writing guidance code, to the weaponization of dual-use platforms. The role spans every weapon class, up to autonomous systems that select and engage targets without human authorization. You will help define the line between prohibited weapons development and legitimate research and engineering work, and how to operationalize the distinction. This will include translating technical judgment into principles that engineers can implement and enforcement teams can act on. Key responsibilities Own and maintain Anthropic's conventional weapons policy, defining the boundary between the activities our models should and should not support Build the threat models and evaluations that measure how our models could contribute to weapons development, including the software and autonomy components that define modern weapons systems, and keep them current as the technology and its misuse evolve Partner with engineering to turn the policy into model guardrails, detection systems, and enforcement tooling Serve as the subject-matter expert for escalations involving conventional weapons content, including rapid response to emerging risks Build shared understanding of the policy across product, engineering, legal, and leadership, communicating its reasoning to technical and non-technical audiences Engage external experts as well as government and industry partners, and translate that engagement into stronger policy and enforcement Minimum qualifications Have deep, applied expertise in weapons systems and can translate complex technical evidence into sound policy judgments Experience in a relevant setting, such as a service research laboratory, a defense research or innovation agency, or a company that designs or builds weapons systems Can write clear, operationally precise policy and explain complex technical topics to non-specialist audiences Understand the legal frameworks governing weapons and their transfer, and can craft policy that holds up across jurisdictions Can do rigorous technical analysis of weapons systems using only open sources Are comfortable with ambiguity and drawn to problems that have no established playbook Are motivated by preventing misuse without obstructing the legitimate work in the field Preferred qualifications A working understanding of machine learning and large language model fundamentals Hands-on engineering experience in a weapons-relevant technical domain, such as systems engineering, robotics and autonomy, guidance/navigation/control, sensors and signal processing, aerospace or mechanical engineering, materials and energetics, or embedded software Hands-on experience applying arms export controls (ITAR/EAR) or international arms-control regimes Experience building or evaluating classifiers, including LLM-based ones, and reasoning about precision and recall for rare, high-consequence categories Trust & safety or product policy experience at a technology 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: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Partnership Manager, AI for Science
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible. About the role We're looking for a Partnership Manager to grow our AI for Science Program . You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains. In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI. Responsibilities: Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities Manage timelines, resource requirements, and regular reporting associated with the AI for Science program Work closely with partners to understand their technical and operational needs and translate them into deployment plans Comfort with early technical prototyping and testing to help learn alongside and unblock partners Contribute to a research agenda for understanding AI's impact on individual labs across domains Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem Represent Anthropic at global scientific convenings and conferences Help shape team processes and culture as we scale our Life Science work You may be a good fit if you have: 2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams Analytical mindset with experience using data to inform strategy and measure impact An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project A genuine drive to maximize impact for underserved communities High agency and comfort with ambiguity; you thrive when you're building the plane while flying it Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities Willingness to travel for occasional partner visits and conferences Strong candidates may also have: Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives Experience working with philanthropic foundations on science funding Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product Background in wet lab research with an ability and aptitude for scientific communications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $170,000 — $215,000 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 Vulnerability Disclosure & Security Community
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Head of Vulnerability Disclosure & Security Community to own Anthropic's coordinated vulnerability disclosure program and our CVE Numbering Authority (CNA) end to end. You will have the authority to set Anthropic's disclosure policy and timelines and will be the public face of Anthropic's disclosure work and help shape how the industry handles model-level vulnerabilities. Your findings feed model-release decisions, and you will work as a peer of the Senior Cyber Policy Lead, building relationships with security researchers and threat-intelligence partners along the way. Key responsibilities Lead Anthropic's CVE Numbering Authority (CNA) function for vulnerability disclosure, including in open-source contexts Build and maintain partnerships with the external security research community and threat-intelligence organizations Represent Anthropic at security conferences and within the broader vulnerability-research community Maintain close familiarity with vulnerability-database ecosystems to keep our program aligned with industry norms Lead Anthropic's external technical engagement on cyber safety topics, including public and community-facing communication Collaborate with the Senior Cyber Policy Lead to ensure disclosure findings inform evaluations and policy Build the function: hire and mentor a future analyst, and put in place the tooling and AI-assisted triage the program needs to scale Minimum qualifications Experience operating or participating in a coordinated vulnerability disclosure program Experience coordinating multi-party disclosures involving researchers, vendors, and open-source maintainers Experience managing a disclosure queue with defined triage and response timelines Experience handling sensitive or embargoed vulnerability information, including TLP-marked material Preferred qualifications Experience running or working inside a PSIRT Experience coordinating disclosures that include government parties A track record of authoring CVEs or vulnerability disclosures Experience presenting original research at security conferences Experience operating or supporting a CNA (CVE Numbering Authority), either internally or on behalf of third parties Experience incorporating artificial intelligence into coordinated vulnerability disclosure or CNA processes, such as automated triage, severity assessment, or report handling Experience operating or scaling a bug bounty program through a commercial platform Established relationships across the disclosure coordination community and programs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $330,000 — $395,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Safeguards Enforcement Analyst, Chem & Explosives Harms
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Enforcement Analyst focused on Chem & Explosives Harms, you will play a critical role in protecting against the misuse of AI systems for chemical and explosives harms. You will enforce our Usage Policy with a specific focus on detecting and mitigating these risks, investigating potential violations, and help continuously strengthen our safeguards. The work sits at the intersection of chemical and explosives threat analysis and platform enforcement: you will read real model interactions and make fast, well-reasoned calls about whether activity is benign research or a credible attempt at harm. This role is a fit for someone who understands the dual-use nature of chemistry and explosives technologies well enough to separate the benign from the malicious — and who acts decisively under ambiguity. You will own and continuously improve the enforcement monitoring workflows for this harm area, and you will work closely with Policy, Threat Intelligence, Data Science, and Engineering matrix partners to accomplish tasks at scale. Safety is core to our mission, and your work will directly protect individuals, communities, and critical systems from AI-facilitated weapons harm. Important context for the role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including material of a sexual, violent, or psychologically disturbing nature. The role also carries a shared on-call responsibility across the Policy and Enforcement teams. Key responsibilities Enforce Usage Policies with a specific focus on detecting and mitigating potential chemical and explosives risks and harmful use of AI systems. Take ownership of enforcement monitoring workflows for the chemical and explosives harm area, improving end-to-end detection, investigation, triage, and escalation processes. Monitor and analyze platform activity to identify emerging patterns related to chemical and explosives threats (within the broader CBRNE landscape) that may require policy updates or enforcement action. Design and architect automated enforcement systems and review workflows that scale effectively while maintaining high accuracy across a technically complex content surface. Conduct thorough investigations of potential violations, gathering and documenting evidence to support enforcement decisions. Proactively surface trends and propose improvements to detection methods and review workflows without waiting to be directed. Partner with Engineering and Data Science teams to optimize detection models and automated enforcement systems for policy violations. Partner with Policy and Threat Intelligence teams to understand potential exploits and contribute to risk-assessment frameworks, and partner with engineers iterating on safety systems. Provide enforcement-grounded feedback on policy gaps, and handle escalations and time-sensitive situations related to chemical and explosives policy violations. Minimum qualifications Hold a degree in a chemistry-related field (e.g., chemistry, chemical engineering, materials science) and/or relevant professional experience in a related field. Possess experience in Trust & Safety, content moderation, or policy enforcement at platform scale, including working with generative AI tools to refine and optimize content review and enforcement workflows. Possess experience in utilizing AI tools to develop data dashboards for metrics collection in support of continuous improvement efforts. Can analyze complex, ambiguous situations and make well-reasoned, defensible decisions under time pressure. Are proactive and self-directed: you spot trends, dig in, and ship improvements on your own initiative. Communicate clearly in writing and can translate technical chemistry concepts for diverse audiences, including both technical and non-technical stakeholders. Preferred qualifications Subject matter expertise in chemical and explosives defense, security, WMD/CBRNE non-proliferation, or threat-intelligence. An understanding of where real-world chemical and explosives risk actually lies — adversary intent, acquisition and weaponization pathways, and dual-use concerns, including familiarity with cross-platform threat analysis and open-source intelligence (OSINT) techniques relevant to weapons of mass destruction. Proficiency in SQL and/or other data analysis tools to draw insights from large datasets and monitor enforcement workflow health. Familiarity with the Chemical Weapons Convention (CWC), scheduled chemicals, precursor controls, and energetic-materials safety frameworks. 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: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
Legal Program Manager (Regulatory Compliance)
About the Team OpenAI’s Legal team helps advance our mission by tackling novel legal issues in AI. Our team brings together professionals across technology, privacy, intellectual property, corporate, employment, tax, regulatory, and litigation. Our regulatory compliance work turns legal requirements into practical programs that support responsible AI development and deployment. About the Role As a Legal Program Manager focused on regulatory compliance, you will build and manage cross-functional programs that translate counsel’s guidance into practical, sustainable operations. Your initial focus may include content moderation and/or frontier AI governance, with the mix shaped by team priorities and your strengths. You will partner with internal and external counsel, other legal program managers, and technical and business teams to coordinate implementation, evidence collection, reporting, and ongoing compliance. You’ll build repeatable systems that scale across regulations, products, and jurisdictions, helping teams navigate emerging requirements with clarity and sound judgment. This full-time role is based in San Francisco, CA, or New York, NY. In this role, you will: Lead regulatory compliance programs end to end: define scope, owners, milestones, dependencies, risks, and escalation paths, and drive execution with counsel and cross-functional partners. Translate counsel’s regulatory guidance into repeatable workflows, controls, and documentation. Depending on your portfolio, this may include content moderation disclosures, transparency reporting, reporting and appeals workflows, or frontier AI model launch readiness, evaluation and risk-management evidence, and incident reporting. Build strong partnerships across Product, Engineering, User Operations, Governance, Risk and Compliance (GRC), Global Affairs, Communications, and Go-to-Market to align program priorities and deliverables. Support regulatory inquiries, audits and investigations with counsel, organizing evidence and responses to support timely, accurate communication and reporting. Maintain a reliable source of truth for obligations, controls, decisions, evidence, and reporting. Demonstrate compliance readiness and control effectiveness, and improve program timeliness and evidence quality. Identify execution risks and compliance gaps, track remediation, and escalate blockers. Establish clear success measures and operating cadences, keeping legal conclusions subject to counsel’s review. You might thrive in this role if you: Have 6+ years of experience in program management, regulatory compliance, or related fields in a tech-forward or highly regulated environment, including relevant legal, regulatory, or compliance program experience. Have experience working with an in-house legal team; regulatory matters experience and in-house technology experience are strongly preferred. Have demonstrated experience building and scaling compliance programs, translating legal or regulatory requirements into operational workflows, and maintaining reliable documentation and evidence in partnership with counsel. Take ownership of complex projects, set and achieve milestones, synthesize cross-functional input, and build trust across legal, technical, and business teams. Bring strong organizational, analytical, and communication skills. Exercise sound judgment under pressure, adapt to changing priorities, and make progress through ambiguity. Are resourceful and hands-on, with enthusiasm for AI technology and the ability to quickly learn unfamiliar technical concepts and navigate fast-moving technical environments. Bring familiarity with content moderation, online safety, frontier AI governance, data governance, privacy, or emerging technology law as a plus. Depth in either content moderation or frontier AI governance is valuable; expertise in both is not required. Bring data analysis or SQL skills, or relevant professional qualifications such as PMP, PMI-ACP, CPA, or CISSP, as a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Project Manager, People Mergers & Acquisitions (M&A)
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Total Rewards Strategy & Enablement (TR S&E) team translates people strategy into business impact, building the infrastructure, programs, and systems that make Total Rewards work at scale. We bridge strategy and execution, partnering with People leadership and cross-functional teams across Finance, Legal, and the business to turn ambiguous problems into durable programs. What you’ll do We’re looking for a collaborative, action-oriented Project Manager to join the Total Rewards Strategy and Enablement team. In this role, you’ll lead business-critical People projects, with a primary focus on mergers and acquisitions (M&A). Bringing an acquired business into Stripe requires coordinated work across Total Rewards, People Partners, Recruiting, People Operations, Legal, Finance, and Corporate Development. You’ll project manage the People workstream from diligence and integration planning through close and post-close execution. You’ll turn deal-specific decisions into clear plans, ownership, milestones, and risk-management approaches. You’ll coordinate functional owners across People workstreams, establish plans and dependencies, and step into the work when needed to unblock progress or close critical gaps. Your work will support transaction timelines, reduce business disruption, and create a consistent experience for acquired Stripes. You’ll build People M&A’s capabilities through repeatable playbooks, infrastructure, and cross-training. This individual contributor role is well suited to someone who can bring structure to ambiguity and move between strategy and execution. Responsibilities Project manage People M&A workstreams from diligence and planning through close and post-close execution. Workstreams may include organizational alignment, employee data, onboarding, recruiting, and people program integration. Serve as a central coordination point across Total Rewards, People Partners, People Operations, People Systems, Recruiting, People Support, Corporate Development, Legal, Finance, and Corporate Technology. Align plans, dependencies, decisions, and accountability with transaction timelines. Develop and run integration and change-management plans that give functional leads, acquired Stripes, and other affected audiences the information and support they need at each stage of a transaction. Identify cross-functional dependencies, risks, and blockers early. Coordinate resolution and escalate issues when needed to protect integration timelines and the Stripe experience. Establish feedback and support mechanisms for acquired Stripes , including surveys, office hours, and centralized support channels. Use feedback to improve integration plans and change-management approaches. Build and improve People M&A’s infrastructure , including project plans, templates, checklists, playbooks, reporting, and retrospective documentation. Build capability across People workstreams through documentation, cross-training, and shared practices that support more consistent future integrations. Support other business-critical and transformational projects across Total Rewards and the People team as needed. Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements You have 7+ years of project or program management experience at a global company, including 2+ years project managing workstreams within the M&A lifecycle, including diligence, integration planning, close readiness, and post-close integration. You have experience leading complex, cross-functional programs from planning through execution and building repeatable program infrastructure, such as integration playbooks, project-plan templates, readiness checklists, risk logs, or retrospective processes. You have a track record of turning ambiguous problems into structured, repeatable programs. You’re comfortable building new programs in a scaling environment while improving and standardizing how work gets done. You have excellent written and verbal communication skills. You can write a one-page executive update, a decision memo tailored to stakeholders, and a step-by-step operator playbook with equal fluency. You guide project teams through complex work in a direct, approachable, and inclusive way. You can manage senior cross-functional stakeholders across Total Rewards, People Partners, People Systems, Recruiting, Corporate Development, Legal, and Finance. You know when to build alignment, raise a risk, and escalate. You’re comfortable working with data and systems such as Workday and Greenhouse. You use data to clarify decisions, communicate recommendations, and define requirements with People Systems partners. You focus on the experience of acquired Stripes and the teams operating the program, not only on program artifacts. You can manage competing priorities and adapt in a fast-paced environment. You work effectively independently and across teams, bring structure to complexity, and follow through on the details that make a program successful. Preferred qualifications Experience with change management frameworks, such as the Prosci ADKAR Model, and applying them to employee or operational change. Project or program management certification or training, such as Project Management Professional (PMP), Lean, Six Sigma, or a comparable methodology
B2B Communications Manager, LATAM
About the team OpenAI’s mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Achieving this goal requires more than cutting-edge research—it demands deep, ongoing engagement with the policymakers, communities, institutions, and partners shaping the future of AI. The communications team supports this mission by clearly and authentically explaining our technology, products, and approach, helping business leaders, customers, partners, developers, policymakers, and the public understand how AI can be developed and adopted responsibly. About the role We’re looking for a senior B2B Communications Manager for Latam, based in São Paulo, to shape how businesses across the region understand OpenAI’s technology, products, and role in helping organizations adopt AI responsibly. Reporting to the Head of Communications for LATAM, this role will own regional B2B communications strategy and execution, with a focus on helping business decision-makers, industry leaders, customers, partners, and the media understand the value and impact of OpenAI’s technology. You’ll shape how OpenAI communicates about enterprise adoption, customer outcomes, innovation, productivity, and responsible deployment across Latam markets. This is a builder role for someone equally comfortable setting regional strategy, developing compelling business narratives, and helping local teams translate global priorities into communications that resonate in their markets. You’ll partner closely with global Communications, Marketing, Sales, Customer Success, Partnerships, Product, Research, Safety, Legal, and Policy teams to deliver impact on the ground. What you’ll do Set and execute the Latam B2B communications strategy, aligned with regional business priorities, global narratives, and OpenAI’s mission Develop clear, compelling narratives that show how organizations across Latam can use OpenAI’s technology to transform work, improve productivity, build new products and services, and drive growth Partner with Marketing, Sales, Customer Success, Partnerships, Product, Research, Safety, Legal, Policy, and global Communications teams to turn complex technology, product developments, and company announcements into locally relevant communications Lead earned media strategy for B2B audiences across the region, including national, business, technology, and relevant industry and trade media Identify and develop customer and partner stories that demonstrate credible, measurable business outcomes and responsible AI adoption across Latam Prepare executives, customers, partners, and subject-matter experts for high-impact communications, including media interviews, industry events, launches, customer engagements, and moments of scrutiny Build repeatable communications programs around enterprise adoption, customer milestones, partnerships, and go-to-market priorities across Latam, not just one-off announcements What you bring 10+ years’ experience in B2B, corporate, product, or technology communications Deep experience communicating enterprise technology, platforms, or technical products and translating complex capabilities into clear, accurate, and compelling business narratives Strong earned media experience, with relationships across national, business, technology, and relevant industry and trade media A strong understanding of the business, technology, and media landscape across Latam, including how enterprise adoption and customer needs vary by market Proven experience partnering closely with marketing, sales, customer success, partnerships, product, research, safety, legal, policy, and communications teams Experience operating at executive level and advising leaders through high-profile launches, customer moments, sensitive issues, and ambiguous environments Excellent judgement and the ability to communicate confidently across business, product, corporate, policy, and societal topics Experience working in international or regional roles within global companies and complex operating environments You’ll thrive in this role if You like building from scratch and shaping how a company earns relevance and trust with business audiences You have a thoughtful, audience-first mindset and go beyond traditional media relations to build understanding with customers, partners, and industry stakeholders You are curious about how technology, business, policy, and society intersect across different markets You care as much about customer credibility, trust, clarity, and accuracy as you do about reach You are comfortable moving between regional strategy and the practical work needed to help local go-to-market teams succeed You’re comfortable navigating complexity, scrutiny, and a fast-changing technology and business landscape You want to work in a small, senior team where autonomy and judgement really matter 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.
Strategy & Operations Manager, Communications
About the Team OpenAI’s Communications team is responsible for helping people understand our mission, technology, and impact. The team works across the company to communicate clearly and thoughtfully with a wide range of audiences in a rapidly evolving environment. Within Communications, the Strategy & Systems team is building a new model for how communications organizations operate—combining strong strategic judgment, effective operating systems, and the growing capabilities of AI. We design the frameworks, tools, and ways of working that help the broader team focus on its highest-impact priorities and execute them effectively. About the Role We are looking for a Strategy & Operations Manager to help make this operating model real. You will translate priorities into action, lead high-impact initiatives from idea through implementation, and design better ways for the Communications team to work. You will take ownership of complex projects that require clear thinking, strong follow-through, and a willingness to challenge how work has traditionally been done. You will partner with senior leaders, technical builders, and cross-functional teams to bring structure to ambiguous problems, strengthen execution, and apply AI in practical ways that improve how the organization operates. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead strategic initiatives and special projects across Communications, turning ambiguous opportunities into clearly defined problems, aligned plans, and successful implementation. Help shape how the team sets priorities, makes decisions, and follows through on its most important work—including launches, campaigns, reactive moments, and longer-term initiatives. Design an AI-forward approach to project and program management, building systems that maintain momentum, surface risks early, and make ownership and dependencies clear. Build operating rhythms, planning frameworks, and shared processes that create clarity without adding unnecessary meetings, manual tracking, or layers of coordination. Translate emerging AI capabilities into practical workflows that reduce repetitive work, strengthen coordination, and allow team members to focus on work that most benefits from human judgment. Drive the adoption of new tools and ways of working across the Communications organization, partnering with systems builders and team leads to understand user needs and continually improve the experience. Work closely with senior leaders to translate strategic priorities into clear plans, decisions, milestones, and measurable outcomes. Build strong partnerships across Communications, Marketing, Global Affairs, Product, and other teams to connect work across organizations and resolve gaps in ownership or execution. Use data and qualitative insights to evaluate effectiveness, measure impact, and identify opportunities to improve how the team operates. Help create a culture of clear ownership, thoughtful experimentation, continuous improvement, and high-quality execution. You might thrive in this role if you: Have 10+ years of professional experience, including significant experience in strategy and operations, business operations, program leadership, or a related field. Have a track record of working closely with senior leaders to drive complex, cross-functional initiatives. Have led initiatives from an early idea or loosely defined problem through execution and measurable results. Are energized by the opportunity to rethink how teams work with AI and have experience introducing AI tools, building AI-enabled workflows, or helping an organization adopt new ways of working. Bring strong strategic judgment and can distinguish high-impact work from activity that creates motion without meaningful progress. Can translate an ambiguous challenge into a clear plan, align the right stakeholders, and sustain momentum as priorities evolve. Bring strong analytical skills and experience using data to inform decisions, measure outcomes, and improve organizational effectiveness. Can partner effectively with technical builders and have experience using agentic, automation, or no-code tools. Communicate clearly, build trust across functions, and exercise good judgment about when to push for a decision, simplify a process, or pursue a different approach. Are highly organized and capable of managing multiple complex initiatives without losing sight of strategic context or execution details. Care deeply about the work of communications and are excited to help build a team that operates at the pace and ambition of OpenAI. 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 Architect
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Code is changing how engineering organizations build software, and most of them need someone to show them how. That's you. Technical Architects help customers get real work done with Claude Code, Claude Tag (Claude Code as an agent in Slack), and the enterprise admin controls that decide whether a rollout succeeds. You'll teach customers, partners and Anthropic's own field teams. Just as important, you'll train the trainers who carry that knowledge to everyone else. We're hands-on AI engineers who would rather teach than sell. You'll work alongside customer engineering organizations, teaching them about Claude Code and shepherding rollouts with advanced admin knowledge. Most weeks you're in front of an audience with Claude Desktop or a terminal open: thousands of engineers on a public webinar one day, a customer's platform team in their own conference room the next week, office hours in between. The prep material often reaches you the day before. The team is growing quickly this year, scope will grow as new products ship, and the people who join now will shape how it works. Responsibilities Teach in every format. Take a standing rotation on Anthropic's public webinars in front of thousands of engineers at a time. Lead workshops and multi-day onsites, in person and virtual, built around a customer's own codebase and questions. Host office hours and multi-week cohorts where engineers, partners, and account teams bring live problems. Teach the teachers. Run train-the-trainer programs for customer technologists and champions, and certify them to deliver Anthropic's material. Empower admins. Educate enterprise admins on the technical requirements for a strong rollout by guiding them through single sign-on, permissions, connectors, spend controls, data-handling policy, and other advanced topics. Build fast with Claude. Turn a request into a polished deck, demo repository or plugin within a day, using the tools you teach. Explore new features the day they ship. Pick up a teammate's material and deliver it as if you wrote it. Bring field signal back to product. Tell the Claude Code, Claude Tag and Cowork teams what customers run into, specifically enough that they can fix it. Be the technical voice in the room. Partner with account executives, customer success managers, Applied AI Architects, support engineers and partner leads. Travel. Expect 30 to 50%, in bursts around onsites, workshops and events. You may be a good fit if you have 5+ years as a software engineer, solutions architect, developer advocate or similar. You still ship code and regularly teach engineering audiences. Current engineering range. You've shipped code other people depend on. You can go deep with a senior engineer anywhere in the stack. You use Claude Code or a similar agentic tool every day and have opinions about it. Big-stage presence. You've held large live audiences. You sound practiced with material you got that morning, and a broken demo doesn’t faze you. Range in one conversation. You can go from banter to a rigorous design discussion, and both feel natural. Care for people. You do right by a struggling customer, and you won't leave a confused room behind. Initiative. You build things without waiting for permission, and you say when an idea is half-formed, including your manager's. Steadiness when priorities shift, timelines are short and colleagues are under pressure. Comfort with ambiguity in a fast-moving industry and product suite. A stake in safe AI. You care that large organizations deploy AI responsibly, and you want to help them do it. You love being on the frontier. You want to work at the edge of what’s possible and help define what comes next. Strong candidates may also have Depth in enterprise identity and security review (SAML, OIDC, SCIM, SOC 2, HIPAA). Experience running Claude on Amazon Bedrock or Google Cloud Vertex AI. Time with regulated industries or with systems-integrator partners. A public record of technical teaching: talks, courses, videos or writing. An interest outside technology you can talk about with the same energy. 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: $250,000 — $365,000 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, AI for Chip Design
About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this role if you: Have strong programming and debugging skills and a track record of turning technical ideas into working software. Experience with reinforcement learning, model evaluations, post-training, or other applied ML research. Experience building tool-using agents, reward functions, or automated evaluation systems. Can form clear hypotheses, design useful experiments, and distinguish meaningful results from noise or evaluation errors. Work independently on ambiguous problems and make practical decisions about what to build or test next. Stay close to the implementation and can explain what you built, what failed, and what you learned. Communicate progress clearly and collaborate well with people across research, software, and hardware. Care about developing safe, beneficial AI. Nice to have: Familiarity with experiment orchestration, distributed training, or research infrastructure. Experience with RTL, Verilog/SystemVerilog, EDA tools, formal verification, or chip-design automation. 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. 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.
Engineering Manager, Billing Collections
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Billing Collections team builds the systems that turn invoices into successful, dependable revenue outcomes. The team develops the foundational capabilities that help businesses collect payments across diverse customer relationships, payment methods, and markets, while adapting intelligently when collection does not go as planned. What you'll do As the engineering manager for Billing Collections, you’ll own the operational and technical direction of the platforms that help Stripe users collect revenue reliably. You’ll lead the team that builds flexible, intelligent collection experiences that improve payment success, support customers through changing circumstances, and help businesses reduce unpaid balances and accelerate cash flow. You’ll shape the team as it expands to support increasingly sophisticated business models and global payment needs while working backwards from internal and external customers. Responsibilities Lead a team responsible for the core architecture needed to enable billing collection Own the technical strategy and roadmap for billing collection Drive operational excellence across billing infrastructure systems Hire and develop engineers as the team expands into new scope Partner with stakeholders across organizations to deliver billing solutions Work backwards from internal and external customer needs to define priorities and scope Define and uphold engineering standards across a team owning business-critical billing infrastructure Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 4+ years of engineering management experience, directly managing and growing teams of 5+ engineers focused on building and shipping products at scale 8+ years of full-time software development experience Track record of leading engineering teams responsible for high-traffic, low-latency, and extensible systems Deep user empathy with a history of working backwards from internal and external customer needs Proven ability to drive rigorous decision-making and build strong partnerships across teams Ability to handle ambiguity, creatively solve complex challenges, and execute on competing high-impact priorities Demonstrated focus on system reliability, operational health, and incident response Preferred qualifications Experience building and leading distributed teams across multiple locations and time zones Track record of delivering shared infrastructure across multiple business units Background in billing, metering, or large-scale distributed systems Experience with payment mandates, recurring payment authorization, or related payment infrastructure
Strategic Projects Lead, Recruiting
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for a Strategic Projects Lead to take on recruiting's most complex, cross-cutting work: the high-stakes decisions and initiatives that span many teams and don't fit neatly into any one group's remit. You'll bring the structure, coordination, and follow-through that help these get made well, and see them through as the company scales. You'll work across every team that touches hiring, and you'll move work forward through partnership, not ownership. The job is influence: bring the right people together, make sure decisions are principled and well-documented, and keep recruiting's approach coherent over time. You'll be the most senior individual contributor for how recruiting operates, and success depends as much as on building trust across senior stakeholders with different priorities as it does on building good systems. This is a high-autonomy role for someone who thrives in complexity and ambiguity. You know recruiting well enough to feel where it breaks, and you're energized by holding several very different problems at once and driving each to a clear resolution. Key responsibilities Take on recruiting's biggest ambiguous bets: define the problem, ship the smallest testable version, and hand each one off as a repeatable program before moving to the next Own the operating rhythm across the teams that support recruiting, so we plan, review, and decide as one function Spot recurring friction and fix the system behind it, not just the case in front of you Own process design when company-wide changes run through recruiting, and drive them to real adoption with the partners who own the build and the comms Be recruiting's DRI for headcount and workforce planning, including hiring pace and readiness for new regions Own the operating standard for interviewing, like scheduling lead time and interviewer load, and lead the cross-team diagnosis when it slips Turn analytics into standards and simple SOPs, and build documentation a new leader could pick up without you in the room Keep the right people informed at the right time without becoming a bottleneck, and stay fluent in our recruiting systems and data so you can call the downstream impact of any decision You'll partner directly with the leads for Recruiting Systems, Analytics, Interview Programs, and other teams. You won't run their teams or build their systems, but you'll know each well enough to make calls that hold up across all of them. Minimum qualifications Have 8-10+ years in program management, business operations, chief of staff, or people/talent roles at a fast-growing company, with increasing scope over time Have been part of a talent team or partnered closely with one, and understand how recruiting operates day to day Think in systems: you see how the pieces connect, anticipate downstream effects, and design fixes that work across team boundaries Have owned several complex workstreams at once and made hard prioritization calls without much guidance Set the strategy and vision for your area rather than executing someone else's plan Create structure and clarity in genuinely ambiguous environments Have put AI to work in real workflows: redesigning process, automating the repetitive layer, and shipping faster Test the smallest version of an idea in the real world before building the big one, and say clearly what you're not doing and why Can lose a decision cleanly: disagree, commit, and execute with full credibility, knowing which calls are reversible and which aren't Have taken a big process or policy change through an organization end to end and made it stick Close the loop, hold the bar, and finish the unglamorous work Preferred qualifications Experience running recruiting or talent operations at global scale Working knowledge of recruiting compliance, like OFCCP, GDPR, and regional employment law, and how it shapes process and systems decisions Experience in deep-tech environments with technical recruiting complexity Experience operating across multiple time zones and jurisdictions 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: $235,000 — $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.