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About the Team The SMB Ads team helps businesses discover, adopt, and grow with OpenAI’s advertising solutions. As we scale globally, we are building a high-performing sales organization that combines operational excellence, strong customer experiences, and AI-native ways of working. We partner closely with Sales, Revenue Operations, Finance, Product, Enablement, Program Management, and external BPO partners to drive advertiser acquisition, activation, revenue growth, and retention. About the Role We are hiring a Vendor Lead to build and scale the outsourced operating model that supports our Ads business in EMEA and globally. This is a builder role. You will design the governance, performance systems, capacity plans, quality programs, and accountability mechanisms that enable our BPO partners to deliver exceptional commercial outcomes. You will work across internal teams and external partner leadership to improve seller productivity, advertiser growth, forecasting accuracy, and operational quality. This is a highly cross-functional individual contributor role that sits at the intersection of Ads Sales, SMB, Revenue Operations, Finance, Enablement, Product, Program Management, and external BPO leadership. You will help define how OpenAI operates with external partners and build the systems, processes, and accountability mechanisms that enable the business to scale. In this role, you will: Build and scale BPO operating models, governance structures, and performance frameworks for Ads. Drive results across revenue, pipeline, advertiser acquisition, activation, retention, seller productivity, and quality. Lead business reviews and executive governance forums with BPO partners and internal stakeholders. Develop scorecards, forecasts, inspection mechanisms, and escalation processes that surface risks early. Improve sales quality through playbooks, QA frameworks, coaching programs, and performance analysis. Partner with Sales, Revenue Operations, Product, Enablement, Finance, and Program teams on new products, markets, and sales motions. Create workforce and capacity plans aligned to business demand and growth forecasts. Determine which customer segments and sales motions should be handled by BPO partners versus internal teams. Use AI, automation, and scalable systems to improve execution, visibility, and seller productivity. You might thrive in this role if you have: 5+ years of experience in vendor operations, commercial operations, outsourced sales, or a scaled revenue organization. Experience in Ads, advertiser growth, performance marketing, or a comparable SMB sales motion. Working knowledge of sales funnels, forecasting, advertiser activation, spend growth, retention, and churn. Experience improving operating processes, scorecards, quality programs, or capacity plans across vendors or markets. Strong analytical, operational, and communication skills, with the ability to turn data into clear actions and work effectively across teams. Interest in using AI and automation to improve execution, visibility, and seller productivity. Workplace & Location This role is based in Dublin, Ireland. We use a hybrid work model of 3 days in the office per week. Occasional travel will be 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.
About the Team Customer education helps customers and partners build the practical skills and confidence to use AI and OpenAI products safely and effectively. The team focuses on role- and skill-based learning paths, practical content, and product experiences that accelerate learning in the workplace. It brings together learning and enablement expertise, field insight, product signals, and measurement to improve learner and business outcomes. Together, these experiences will help enterprise users build practical AI skills, apply them with confidence in their work, and demonstrate what they can do. Employers will gain a clearer view of workforce skills and progress, helping them recognize capability, focus development where it matters most, and build confidence in workforce readiness. About the Role We’re looking for a full-stack engineer to define and build a new class of learning experiences. This is an early-stage product area where technical judgment, product sense, and learner empathy are critical. You will be setting a technical vision for how people use AI to learn how to use AI, safely and beneficially. This is a hands-on, 0-1 product engineering role with broad technical and product ownership. You’ll set direction, make foundational decisions, and ship the first versions of experiences that can grow into the default way people learn at work. You will drive full-stack product experiences end to end, from prototype through launch, instrumentation, iteration, and production hardening. The work spans interaction design, frontend implementation, backend APIs and services, learner state, content and runtime integration, telemetry, evaluation, reliability, safety, accessibility, and launch readiness. You’ll work closely with our education, GTM, and engineering teams to translate how people learn into products people want to use. bring role- and skill-based learning paths into the product, designing coaching, feedback, and adaptive support which responds to each learner’s goals, context, and progress. You’ll lead focused experiments, measure what helps learners progress and where they struggle, and use that evidence to shape what comes next. Strong candidates will be product engineers with experience and a strong interest in education, learning science, assessment, behavior change, or AI literacy. You’ll help shape how OpenAI supports structured, adaptive learning in the flow of work, from a learner’s first entry point through practice, feedback, progress, and repeated use. In this role, you will: Own the vision and execution for OAI’s native learning offering Build and launch end-to-end product experiences that help users build and apply AI skills through real work, starting in ChatGPT. Design the core systems behind those experiences, including learner state, progress and re-entry, content and runtime integration, experimentation, telemetry, and evaluation Create reusable components and internal tools that allow education and content partners to develop, configure, test, and improve learning experiences Build and test clear entry points, realistic hands-on practice, useful feedback, telemetry, and evaluation. Use evidence from real use to decide which capabilities for saved context, progress, re-entry, and reuse are needed next. Partner closely with colleagues across Customer Readiness, EDU Engineering, learning science, research, design, data, content, support, and customer-facing teams. Reuse technical and learning patterns where they help while keeping the experience grounded in professional and enterprise use cases. Work closely with design and users to turn product and learning goals into clear requirements, prototypes, milestones, reusable UI patterns, and product metrics, then refine the experience through evidence. Define the learner intent and problem for each release, then use product data, learner feedback, and operational signals to evaluate product quality, learning, transfer to real work, and adoption against that intent. Make pragmatic tradeoffs across speed, quality, scalability, and operational simplicity in a 0-to-1 product area. Qualifications: Substantial experience building and operating high-quality user-facing products with a record of staff-level technical leadership and hands-on delivery Strong full-stack engineering skills, including modern frontend technologies such as TypeScript and React, backend services and APIs, relational databases, stateful user flows, and instrumentation, with practical judgment about distributed systems, reliability, and performance. Experience building in 0-to-1 or fast-moving product environments where user needs, product shape, and success measures are still evolving. Strong user empathy and a high bar for product and interaction quality, accessibility, reliability, safety, security, and performance. Experience collaborating across engineering, research, product, design, data, content, operations, and customer-facing teams. Ability to use qualitative feedback and product data to identify friction, prioritize work, and improve outcomes. Clear written and verbal communication, including the ability to explain technical decisions and tradeoffs to different audiences. Careful judgment when building products that shape how people understand and use AI. You might thrive in this role if: You like 0-to-1 product work where the right answer is discovered through shipping, measurement, and iteration. You are excited by product surfaces that sit close to real users, real workflows, and measurable user and business outcomes. You can move between prototype speed and production-quality engineering without losing sight of the user. You enjoy working with non-engineering partners and turning domain expertise into clear product experiences. You are energized by education, behavior change, skill development, or helping people gain confidence with new tools. You have strong opinions about product craft but can adjust quickly as evidence comes in. Nice to have: 5+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies Former founder, or early engineer at a startup who has built a product from scratch is a plus Experience building education, edtech, learning, tutoring, coaching, assessment, onboarding, training, or enablement products. Experience in AI literacy, workforce learning, enterprise enablement, developer education, or similar spaces where users need to build confidence and skill over time. Experience building AI products, LLM applications, developer tools, agent-assisted workflows, or personalized user experiences. Experience building customer-facing, revenue, sales, support, or go-to-market systems where product quality and operational feedback loops matter. Experience translating research into product decisions, experiments, evaluation, measurement, and iteration. Experience building product surfaces used by both individual users and organizations, including admin, reporting, or support-readiness considerations. 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.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. Building on our recent go live on Workday Financials, you will serve as the internal functional lead for Workday Business Assets and Lease Management, owning the design and configuration of the systems and processes that govern the full lifecycle of Anthropic's assets and leases — from our rapidly scaling compute and data center infrastructure to our global real estate portfolio. This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. Anthropic's asset base is growing at an extraordinary pace, and the accuracy of our capitalization, depreciation, and lease accounting (ASC 842) directly impacts our financial statements. You will work at the intersection of finance domain expertise and technical implementation, partnering with implementation partners, engineering teams, and finance stakeholders to build a world class asset and lease management foundation within Workday. In this role, you will Business Assets Ownership: Serve as the internal functional lead for Workday Business Assets, owning configuration of asset books, asset classes, useful lives, depreciation profiles, capitalization rules, and CIP (construction in progress) tracking; drive design decisions, validate configurations, and ensure business requirements are met Lease Management & ASC 842: Own end to end lease administration and lease accounting across Workday and dedicated lease management platforms for both real estate and infrastructure/compute leases — including lease classification, right of use assets and lease liabilities, amortization schedules, modifications and remeasurements, and ASC 842 disclosure reporting Infrastructure Asset Lifecycle: Partner with Compute, Data Infrastructure, Procurement, Accounting, and other key stakeholders to manage high value technology infrastructure assets from procurement through capitalization, transfers, and retirement; design componentization, tagging, and tracking approaches for data center and compute hardware at scale, with asset records structured to meet international regulatory, statutory, and cross border compliance requirements. ERP Core Financials (R2R Support): Support the broader Workday Financials platform as a secondary focus, ensuring FDM alignment (Worktags, account posting rules, dimensional hierarchies) for asset and lease transactions; partner with consultants on future phase / net new implementations impacting assets and leases Reporting & Close Support: Build and maintain asset rollforwards, depreciation forecasts, lease disclosure schedules, and reconciliations; support month end and quarter end close activities for fixed assets and leases, managing defects and data quality issues as they arise Cross Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Real Estate & Workplace, Legal, FP&A, and Tax on the lease pipeline and capital planning Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. biannual releases), identifying opportunities for process improvement and automation across the asset and lease lifecycle You may be a good fit if you Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials (experience including Business Assets), lease management, inventory or asset management software. experience. Possess deep expertise in Workday Business Assets configuration, including asset books, depreciation methods, capitalization thresholds, CIP tracking, mass asset transactions, transfers, and disposals Have hands-on experience with lease accounting under ASC 842 in major lease management platforms (e.g. CoStar, FinQuery/LeaseQuery, Visual Lease) Possess a strong understanding of fixed asset accounting processes, including capitalization policies, useful life determination, impairment assessment, and asset level reconciliation to the general ledger, along with an understanding of SOX and compliance requirements. Have experience managing high value technology infrastructure assets, such as, data centers, compute hardware, networking equipment, and understand the operational realities of tracking physical assets at scale Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners Are comfortable working in fast paced, high growth environments with evolving requirements and tight timelines Strong candidates may also have CPA certification, or a strong background in accounting or finance, with understanding of GAAP/IFRS reporting requirements, including IFRS 16 lease accounting Experience with lease portfolios from dedicated platforms (e.g. FinQuery/LeaseQuery, Visual Lease, CoStar). Experience assessing embedded leases within cloud, hosting, and service contracts under ASC 842 Experience with Workday FDM design, Prism Analytics, or Accounting Center for asset and lease journal automation Technical familiarity with Claude suite, SQL, Workday WQL/RaaS reporting, BigQuery, Workday Studio/Core Connector, Python Knowledge of SOX compliance requirements and internal controls for fixed asset and lease accounting cycles Familiarity with Workday Procurement and Supply Chain, including PO to asset flows and supplier invoice integration points Prior experience at high growth technology companies scaling toward IPO readiness, ideally with significant capital expenditure 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: $205,000 — $270,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
About the Team OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI). The Global Employee Relations and People Standards team brings together expertise in employee relations, employment investigations, and People compliance, policy, and standards. We play a critical role in shaping how OpenAI supports its people through complexity, growth, and change. Our team guides and supports the company through some of its most nuanced and high-impact people challenges. We operate with deep context and care, balancing trust, judgment, and creativity in every situation. We don’t default to predefined frameworks. Instead, we take a principled yet flexible approach, designing thoughtful, tailored solutions that reflect our values, the needs of our employees, and the unique pace of OpenAI. 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 the Role We’re looking for a Senior Employee Relations Partner to focus on the non-investigative side of ER work, supporting high-trust, high-impact people matters. This includes conflict resolution, high-risk performance management, sensitive employee exits, and navigating workplace dynamics that require thoughtful, strategic support even when they don’t involve formal investigations. This role will report to the senior manager of the team. We're looking for someone who brings creativity, flexibility, and a deeply human-centered approach to solving people challenges. You’re energized by complexity and nuance, and instinctively seek out tailored, thoughtful solutions rather than one-size-fits-all answers. You don’t just apply rules; you understand context, think strategically, and help leaders make principled decisions that reflect our values and evolving culture. This role is a fit for someone who adapts quickly, thrives in uncertainty, and focuses on what’s possible, not just what’s standard. This work requires exceptional interpersonal skills and the ability to connect across all levels, build trust quickly, and guide leaders with clarity and confidence. You should be comfortable in a high-growth, fast-changing environment, making sound decisions with imperfect information. You bring expertise in navigating high-tension, highly escalated employee situations, and remain calm, clear-headed, and grounded under pressure. You’ll approach your work with urgency, empathy, and strong judgment, serving as a collaborative partner and steady presence in nuanced people moments. Your impact will help reinforce a culture of clarity, accountability, and psychological safety, and support leaders and teams in doing their best work through times of growth and complexity. This role will report to the senior manager of the team and will collaborate closely with cross-functional partners across the People Team. In this role, you will: Advise and guide managers, HRBPs, and cross-functional partners through complex or high-risk employee situations, including performance management, conflict resolution, reorganizations, and difficult conversations. You’ll bring emotional intelligence and principled thinking to every interaction. Help shape the responsible adoption of AI-enabled tools within ER, identifying opportunities to improve workflows, knowledge sharing, and service delivery while maintaining confidentiality, appropriate safeguards, and meaningful human review. Help build scalable tools and frameworks that strengthen ER support across the company and reduce over-reliance on formal processes or investigations. Translate recurring ER challenges into scalable tools, guidance, operating practices, and manager resources without creating unnecessary process or bureaucracy. Act as a sounding board and escalation partner for workplace culture concerns, manager-employee dynamics, and early signals of broader people issues. Collaborate cross-functionally with HRBPs, Legal, cross-functional partners, and leadership to ensure alignment on people decisions, organizational changes, and policy implementation. Navigate ambiguity with a proactive, calm, creative, and solutions-oriented mindset, helping to clarify issues and move toward resolution in a dynamic, evolving environment. Use data and insight to identify trends and advise on systemic solutions that promote trust, engagement, and long-term cultural health. You may thrive in this role if you have: A Bachelor’s degree with 10+ years of experience in employee relations or other People roles, ideally in high-growth, fast-paced, and highly dynamic environments. Experience in tech, research, or mission-driven orgs is a plus. A non-conventional mindset. You bring creative, outside-the-box thinking to complex people issues, and you’re not bound by the way things have always been done. You know when structure helps, and when a bespoke approach is the better path. Proven experience managing high-tension, highly escalated employee situations with discretion, empathy, and calm under pressure. You know how to de-escalate effectively, build trust in difficult moments, and support people through emotionally charged or high-stakes scenarios. A proven track record of handling complex matters with a steady, thoughtful, and pragmatic approach. Exceptional interpersonal and relationship-building skills—you build trust quickly, communicate with warmth and clarity, and can connect with employees, managers, and senior leaders alike. Demonstrated ability to design and implement scalable solutions—not only manage individual cases—including frameworks, tools, operating practices, or programs that improved how an organization handled recurring people challenges. Experience and passion adopting or championing new technology, including AI-enabled tools, to improve team workflows. You approach AI adoption thoughtfully, with attention to confidentiality, accuracy, safeguards, and human judgment. Strong executive presence and the ability to earn credibility with senior leaders and executives. You communicate a clear point of view, support it with sound reasoning, and remain open and adaptable when challenged. A track record of operating effectively when policy, precedent, ownership, or the path forward is unclear. You can create structure from ambiguity and make progress without waiting for perfect information. A low-ego, high-ownership mindset. You’re equally comfortable advising executives and rolling up your sleeves to fine-tune a template, fix a process, or support an employee through a difficult moment. Strong instincts for people and culture, with the ability to read situations, understand organizational dynamics, and offer grounded, empathetic guidance. Excellent verbal and written communication skills, especially when navigating sensitive or high-stakes conversations. Comfort operating in ambiguity and rapid change, with the ability to move quickly and decisively while staying aligned with OpenAI’s mission and values. A commitment to fairness, discretion, and principled decision-making. You’re thoughtful, balanced, and clear-eyed, even under pressure. 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.
About the Team The Web team brings OpenAI’s brand, mission, and products to life online. We work across brand design, marketing, communications, and engineering to create clear, accessible web experiences for a global audience. This role is dedicated to Business Marketing, helping organizations understand how OpenAI’s products can support their work. We combine thoughtful storytelling, strong visual craft, and intuitive user experiences to make complex ideas approachable and useful. About the Role We’re looking for a hands-on Web Designer to create exceptional experiences for business audiences on OpenAI.com . You’ll help people understand our products, explore their relevance to their organizations, and find the right next step. As an individual contributor, you’ll own projects from early exploration through launch, working closely with engineers, brand designers, marketers, and writers. You’ll bring strong visual judgment and UX thinking to the work, balancing user needs, business goals, and technical constraints while contributing to a cohesive experience across the site. This role is based in New York, NY. 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: Own design from concept through implementation, developing information architecture, user flows, wireframes, prototypes, and high-fidelity responsive designs. Translate complex product capabilities and business use cases into clear stories and compelling web experiences. Design product, solution, and campaign experiences that help business audiences discover, evaluate, and take action. Partner with engineers, brand designers, marketers, and writers to shape ideas, make thoughtful tradeoffs, and ship polished work. Evolve and apply our web design system, creating reusable patterns that support both consistency and expressive storytelling. Stay involved through implementation and design QA, paying close attention to accessibility, responsive behavior, interaction details, and performance. Use research, feedback, analytics, and experimentation to understand what works and improve experiences over time. You might thrive in this role if you: Have a track record of shipping high-quality websites or web products, with a portfolio that demonstrates both visual craft and thoughtful UX decisions. Bring a strong eye for typography, layout, hierarchy, and interaction, and care about the details that make an experience feel cohesive. Think in systems and can turn complex content and information hierarchies into clear, intuitive experiences. Can move confidently from early concepts and prototypes to detailed designs, and partner closely with engineers to bring them to life. Work well across disciplines, communicate your reasoning clearly, and balance user needs with brand expression and business goals. Are comfortable with ambiguity, seek feedback, and take ownership of moving work forward. Are curious about OpenAI’s mission and motivated to help people understand and use AI. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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 Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do. Responsibilities: Build security for large-scale AI clusters across multiple clouds and bare-metal data centers, including IAM, network segmentation and encryption controls Design and implement network security controls: default-deny ingress and egress, segmentation between research, training and production environments, private connectivity across clouds and data centers, cloud firewall policy and mTLS with service identity Ship these controls as secure defaults using infrastructure as code and GitOps workflows, so new clusters, VPCs and data center links inherit the right boundaries Build visibility into network traffic and boundary drift, with detection for exfiltration paths and automated remediation where it is safe to do so Design secure-by-design development workflows and CI/CD pipelines across our services, with expertise in Kubernetes security, container orchestration and identity management Threat model and assess risk for complex multi cloud and networked environments, and join infrastructure networking, cluster and data center teams at design time so topology, routing and firewall decisions carry our security requirements from day one Mentor engineers and contribute to hiring and growth of the Security team You may be a good fit if you: Have 8-15+ years of software engineering experience implementing and maintaining critical systems at scale Strong software engineering skills in Python or at least one systems language (Go, Rust, C/C++) Experience implementing and operating critical systems at scale using DevOps and cloud automation practices such as infrastructure as code Hands-on network security engineering in cloud or on-prem environments, for example VPC design, cloud firewall policy, egress control, private service connectivity or network segmentation Working knowledge of Kubernetes security and networking, including network policy, service identity and container hardening Experience with threat modeling and risk assessment for networked and multi cloud systems Track record of driving engineering excellence through high standards, constructive code reviews and mentorship Clear communicator who can translate technical concepts across organizational levels and bring clarity and ownership to ambiguous technical problems Low ego, high empathy engineer who attracts talent and supports diverse, inclusive teams Experience supporting fast-paced startup engineering teams Strong candidates may also have experience with: Secured Kubernetes networking at scale (CNI, network policy, service mesh or mTLS rollouts) or worked in high-assurance environments where controls had to be evidenced, not just deployed Worked on interconnects and private connectivity between cloud providers and physical data centers, including management-plane and out-of-band network security Built network traffic visibility or exfiltration detection systems Exposure to large-scale distributed training and what it demands of a network Led cross-functional security initiatives and navigated complex organizational dynamics Managing infrastructure through automated configuration and policy enforcement Hardening containerized applications and enforcing security policies The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 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.
About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight : Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful agent autonomy (for example future versions of auto-review ). About the Role This role focuses on oversight and system-level mitigations that enable increasingly capable agents to operate safely and autonomously in real environments. We prioritize building oversight systems that are used in practice today, both internally and externally (see our recent work on action monitoring for codex and former code review ). We also study longer-term questions about how increasingly capable agentis systems can be supervised, constrained, and corrected. We’re looking for a safety&security minded researcher or engineer who can reason rigorously about security boundaries and agent behavior, then build and test practical mitigations. A background in AI control or security is welcome but not required. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and evaluate system-level controls for agent actions like agent-based review. Plan how they fit in a broader system including sandboxing with process isolation and permission boundaries. Work closely with a Codex harness engineering team to productionize the AI controls. Red-team end-to-end agentic systems to measure whether controls prevent data exfiltration, unsafe tool use, and other harmful outcomes. Improve the safety–productivity tradeoff by measuring and reducing missed harmful actions, unnecessary blocks, approval burden, and latency. You might thrive in this role if you: Have strong systems or security instincts and can reason concretely about isolation boundaries, permissions, attack surfaces, and failure modes in complex systems. Enjoy turning ambiguous safety questions into concrete threat models, reproducible experiments, and practical mitigations, and revising your approach based on evidence from deployment. Can build robust experimental infrastructure and design evaluations that distinguish promising mitigations from brittle ones. Are deeply interested in frontier AI alignment, safety and control. 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.
About the Team The Agent Safety team works to ensure that increasingly capable AI agents act safely, exercise sound judgment, and remain aligned with user intent. Our mission is to reduce the probability of severe unintended outcomes from increasingly capable AI agents while preserving their ability to act effectively and autonomously. Our work spans three areas: Training: Create training methods, environments and data that teach agents to make better decisions in consequential situations. We turn real-world failures into training signals that prevent similar incidents, and identify precursor behaviors and mitigations to address emerging risks. Measurements: Build evaluations and production metrics that identify emerging risks and measure whether our interventions work. Oversight: Develop oversight and system mitigation mechanisms that reduce harmful actions while preserving useful autonomy (for example future versions of auto-review ). About the Role We’re looking for strong executors with excellent judgment, comfort with ambiguity, and an understanding of frontier model research. You don’t need prior safety or alignment experience, we also welcome people that recently realized that alignment and safety is a critical area to contribute to. 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: Train and evaluate frontier models to reduce harmful or misaligned agent actions, forming clear hypotheses and executing independently through ambiguity. Mine incidents and build scalable measurement, data-processing, and evaluation systems that turn real failures into repeatable safety signals. Collaborate closely with post-training, capabilities, oversight, and pre-training partners to ship research-backed mitigations into large-scale training and agent systems. You might thrive in this role if you: Have demonstrated strength in research engineering, ML engineering, quantitative research, or applied model research, with the ability to own ambiguous projects end to end. Bring excellent technical execution across experimentation, data, evaluation, and/or infrastructure, plus strong intuition for modern frontier-model research. Are motivated by agent safety and eager to work on urgent, practical problems even if your prior work was outside safety or alignment. 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.
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 Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators Maximize compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $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.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role Supabase's Partnerships function is scaling fast - spanning Technology Partners, Solution Partners, Startups, and Cloud Partnerships. We're looking for a Partner Operations & Systems Lead to own the operational and technical backbone that lets this team move quickly and make decisions with good data. This is a senior, hands-on role. You'll design the systems, processes, and reporting that the whole partnerships org runs on - and, increasingly, you'll build the internal tools yourself. Supabase is investing heavily in AI-assisted development to move faster than a traditional ops build cycle allows, and this role is expected to be a leading example of that inside Partnerships. You'll report directly to the Head of Partnerships and sit alongside our regional and functional leads as a peer, with the mandate to build and enforce operational rigor across all teams. Beyond the infrastructure, we want someone who helps shape where Partnerships places its bets - not just the system that reports on them. What You'll Own Systems & Data Infrastructure Own the partner tech stack end-to-end - CRM partner objects, attribution tooling, and partner-facing portals. Design and maintain partner attribution models and the dashboards leadership uses to evaluate performance. Ensure data hygiene and consistency across partner records, deals, and touchpoints spanning all sub-functions. Process & Program Management Design and run partner onboarding, tiering, and certification programs. Own the RFC / DRI decision-making framework for the partnerships team, including how it's used and refined over time. Run deal-registration and "quarterback" account-ownership processes that keep internal teams aligned on partner-sourced deals. Build and maintain the playbooks, SOPs, and enablement materials that let the team scale without you in every meeting. Internal Tooling & Automation Build internal automations that remove manual ops work - e.g., auto-generated partner performance reports, HubSpot-to-Slack syncs, or deal-conflict alerts - using AI-assisted development tools like Claude Code. Prototype and ship lightweight internal apps and dashboards (partner health scorecards, RFC trackers, cross-tool syncs) without waiting on a shared data engineering backlog. Act as technical owner for partnerships' internal tools: write the spec, build it, test it, ship it, and maintain it. Know where the line is between a quick internal script and something that needs to be handed to Data/Engineering for production hardening - and manage that handoff cleanly. Reporting & Analytics Produce recurring performance reporting on partner-attributed revenue and pipeline influence. Own the metrics and KPI framework the partnerships team is measured against. Support QBRs and board-level reporting on partnership performance. Strategic Contribution Contribute to partner segmentation, tiering, and prioritization strategy - bringing data and operational reality to bear on where the team should invest. Challenge existing assumptions in the partner motion (which tiers, which incentive structures, which sub-functions get resourced) using evidence from the systems you own. Partner with the Head of Partnerships on strategic planning cycles - translating operational signal into recommendations, not just dashboards. Own execution of agreed strategic direction: once a call is made, drive the operational and cross-functional work to make it real. Cross-Functional Leadership Serve as the connective tissue between Partnerships, Sales, RevOps, Legal, and Finance. Ensure partner agreement terms are correctly reflected in systems and reporting. Sit at the table for partner segmentation, tiering, and incentive-structure decisions as a contributor and challenger, not just an operator reporting on them after the fact. What We're Looking For 7+ years in partner operations, revenue operations, or a related ops function, including experience designing (not just running) a program at scale. Proven ownership of a partner or revenue tech stack - you've made the build/buy/migrate calls, not just administered someone else's setup. Comfortable operating as the operational voice in exec-level rooms - QBRs, board prep, and cross-functional planning. Hands-on fluency with AI-assisted development (Claude Code or similar) - you can scope a problem, prompt effectively, review the output critically, and ship something real. A point of view on partner economics - rev share modeling, LTV by partner type - that can inform deal structuring, not just track it after signature. A track record of shaping strategic decisions, not just implementing them - comfortable pressure-testing a plan in the room and then owning the execution once direction is set. Experience managing a small team or dotted-line relationships across regions or sub-functions. Excellent written communication - you can turn ambiguity into a clear framework or a one-page decision doc. Nice to Have Experience with HubSpot (custom partner objects, multi-touch attribution), Clazar for cloud co-sell, and Linear for project management. Background in a developer-tools or platform business with a partner-driven go-to-market motion. Prior experience building internal tools or scripts, even informally, before AI-assisted development made it mainstream. How We'll Evaluate Alongside standard interviews, candidates will complete a short build exercise: given a messy partner-data problem, show us how you'd use Claude Code (or a similar tool) to solve it. We're evaluating judgment and problem-scoping as much as the output itself. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.