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About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management. The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations. Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics. Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes. Lead partnership deal pricing and structuring from early-stage strategy through final term-sheet negotiations, including executive-ready recommendations and tradeoffs. Drive partnership portfolio performance management: establish core metrics, identify leading indicators, track variance to expectations, and surface risks and opportunities. Integrate partnership economics into revenue forecasting and planning cycles in partnership with the broader team. Identify recurring contract and measurement risks and establish internal governance and review mechanisms. You might thrive in this role if you have: 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company. A strong ability to critically evaluate opportunities and risks in financials. Expert modeling skills, including building detailed product P&Ls and operating models. The ability to distill complex financial data into actionable insights and effectively communicate with leadership. Excellent communication skills and the ability to craft compelling narratives using data. Attention to detail and a commitment to accuracy in financial reporting and analysis. Comfort operating in a player-coach capacity—providing mentorship and direction while remaining deeply involved in analytical work. Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis. Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes. Enthusiasm for technology and artificial intelligence. Experience with SQL or a willingness to learn. This is a unique opportunity to influence the financial trajectory of cutting-edge AI products while working at the intersection of strategy, finance, and technology. If you’re passionate about driving growth and optimizing product performance, we’d love to hear from you! About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign up, sign in, account recovery, authentication, and identity integrations across both consumer and enterprise products. As OpenAI expands across products and markets, Identity plays an increasingly important role in helping more users get started quickly while protecting them from abuse, fraud, and account compromise. About the Role We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define how we measure success across the entire identity journey—from first-time sign up and onboarding through authentication, account recovery, and enterprise identity experiences. You'll develop the experimentation frameworks, metrics, and analytical approaches that guide product decisions while helping the team navigate one of Identity's core challenges: optimizing growth while maintaining trust and security. You'll work closely with Product, Engineering, Design, Abuse, Risk, and Go-to-Market teams to identify opportunities, quantify trade-offs, and influence strategy. Some questions can be answered through A/B tests. Others require observational analyses, causal inference, and judgment under uncertainty. This is an opportunity to shape the analytical foundations of a high-impact product area from the ground up. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products. Design and analyze experiments to optimize top-of-funnel performance, including sign up, sign in, onboarding, and account recovery experiences. Partner with Identity Product and Engineering teams to improve activation, authentication success, and user experience while maintaining appropriate safeguards. Quantify and communicate trade-offs between growth objectives and abuse prevention outcomes, including risks such as fraud and account takeover. Develop methodologies to evaluate identity initiatives when randomized experimentation is not feasible, leveraging causal inference and observational analyses. Establish reporting and executive-facing metrics that provide visibility into Identity health, funnel performance, and emerging opportunities. Build source-of-truth datasets, dashboards, and analytical systems that enable scalable decision-making across the Identity organization. Help shape the culture of data-informed decision-making as the first Data Scientist dedicated to Identity. You might thrive in this role if you have 8+ years of experience in product data science, experimentation, product analytics Experience owning product funnels and driving improvements through experimentation and measurement. Strong expertise designing experiments and applying causal inference methods in production environments. Experience partnering closely with Product and Engineering teams to solve ambiguous, cross-functional problems. The ability to translate complex analytical findings into clear recommendations for both technical partners and senior leadership. Advanced proficiency in SQL and Python. A track record of independently defining metrics, building analytical frameworks, and influencing product strategy. Experience working on identity, authentication, trust and safety, fraud, abuse prevention, growth, or other user-facing platform problems is a plus, but not required. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As the Head of Early Career Recruiting, you'll own and scale our early career strategy across Notion. We've built real momentum on the engineering side — now we're ready to grow that into something bigger, expanding our early talent footprint meaningfully across the business. You'll partner with leaders across the company, university communities, and the broader talent marketplace to attract emerging talent who excel in craft and share our values. You set a high bar, you know the early career market well — university recruiting, internship conversion, emerging pipelines — and you're genuinely AI-first in how you work, always looking for ways to make the team faster and better. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. What You'll Achieve: Define and own the global early career recruiting strategy — spanning internship programs, new grad hiring, and early-in-career pipelines across the business — translating priorities into a clear talent plan that scales across functions and regions. Manage and develop a high-performing team of early career recruiters — setting the bar and coaching to it consistently. Serve as a strategic advisor to business leaders — bringing market intelligence, early career compensation insights, and a clear point of view on emerging talent, whether they're coming from campus, a first job, or somewhere in between. Lead the adoption of AI tools, workflows, and automation across the early career recruiting function — driving meaningful change in how the team sources, assesses, and closes talent. Design and continuously improve the programs, processes, and infrastructure that allow us to hire with speed without sacrificing bar — including internship program design, conversion strategy, offer frameworks, and intern-to-FTE pipelines. Establish and own the early career metrics that matter — conversion rates, quality of hire, source mix, time to offer — and use them to drive decisions. Partner with Storytelling to sharpen our employer value proposition across the early talent community — positioning Notion as a destination for the next generation of world-class talent, wherever they're discovering us. Partner with Notion's Ambassador Program to build community and connective tissue between early talent and the broader Notion ecosystem — turning advocates into pipelines and relationships into hires. Skills You'll Need to Bring: 4+ years of recruiting leadership experience with a focus on early career hiring — spanning university recruiting, internship programs, new graduate pipelines, and early-in-career hiring across functions. A fresh perspective on how early talent is best attracted and assessed — from build challenges and work trials to the ways people just entering the workforce discover and evaluate companies — and the curiosity to keep evolving that view as the landscape changes. Proven track record of building and scaling high-performing early career teams and programs in fast-moving, high-growth environments. High agency, strategic operator who can set direction and execute — equally comfortable in a leadership conversation about talent strategy and in the weeds of a hard fall recruiting season. Strong analytical instincts with a track record of using data to drive decisions, i.e. conversion rates, funnel health, program ROI, and team performance. Trusted advisor to senior leaders, with the credibility and market knowledge to influence program investment and hiring decisions at the executive level. Genuine AI-first orientation — fluency with modern tools and an excitement for continuous discovery as the landscape evolves, with a track record of bringing teams along on that journey. Deep knowledge of early career compensation trends, talent market dynamics, and partnership models — from universities and bootcamps to the channels and communities where early-in-career talent is found. Nice to Haves: Background in program management or talent development with experience designing structured early career experiences (rotational programs, mentorship tracks, etc.). Demonstrated track record of leveraging AI to meaningfully change how early career recruiting operates — not just as a tool user, but as someone who has built workflows, driven adoption, and raised the bar on what the function can do. Experience designing and executing diversity recruiting programs targeting HBCUs, community colleges, or underrepresented talent communities — with measurable outcomes. Strong network within the university recruiting, early career, and campus talent community. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect model weights, customer data, and critical systems across multiple cloud environments. The team partners across OpenAI, including Applied Engineering, Research, IT, Security, Infrastructure, and Engineering, to provide secure and scalable platforms for identity, access management, permissioning, orchestration, and safe AI research. About the Role We’re looking for an engineering leader to lead Identity Infrastructure Engineering, the team building the systems that govern and scale access across OpenAI’s research, engineering, and internal platforms. This role sits at the center of cloud infrastructure, identity, software engineering, and security-critical operations. You’ll lead engineers building control planes, policy systems, workload and agent authorization patterns, infrastructure-as-code, and operational foundations that help OpenAI move quickly while keeping access reliable, auditable, least-privileged, and safe under failure. The ideal candidate has led teams responsible for large-scale, mission-critical infrastructure. They can go deep into code and architecture when needed, while giving engineers and technical leads the clarity and ownership to do their best work. They set technical direction, grow strong teams, make durable architecture decisions, and turn ambiguous 0-to-1 problems into platforms OpenAI can trust and build on for years. In this role, you will: Build and lead a high-performing Identity Infrastructure team, going deep enough technically to set direction while empowering the team to own delivery. Define the strategy for identity platform as the policy plane for access across people, agents, workloads, services, clouds, and internal systems. Scale Access Manager for evolving human and agent lifecycles, making routine access automatic and sensitive access contextual, time-bound, and accountable. Build the access graph and resource catalog that make access decisions explainable, risk-aware, and grounded in ownership, sensitivity, environment, and usage. Replace broad standing privilege with risk-tiered access, so routine work stays fast, privileged access is narrow and observable, and break-glass is exceptional. Establish first-class authorization for agents and workloads, with delegated, action-scoped permissions, time-bound access, full attribution, and no credential sharing. Partner across Security, Infrastructure, Applied, Research, IT, and product to turn identity standards into systems teams trust and adopt. Operate identity infrastructure as a mission-critical platform, with clear reliability goals, safe rollouts, strong observability, healthy on-call, and rigorous incident learning. Measure success by safer, faster, and more accountable access: reduced unnecessary privilege, stronger governance, broader coverage, clearer auditability, and less friction for legitimate work. You might thrive in this role if you: Have 10+ years building and developing engineering teams that own large scale platforms. Experience owning security critical production systems where reliability, least privilege, auditability, and operational rigor are essential. Deep judgment across cloud infrastructure, IAM, authentication, authorization, workload identity, privileged access, and policy enforcement. Hands-on technical depth to go into code and architecture, pressure-test designs, and guide tradeoffs across correctness, performance, scale, and operability. Track record turning complex infrastructure problems into adopted platforms across Engineering, Security, Research, and internal teams. High bar for engineering quality, operational discipline, and long-term ownership. 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 OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. Our Communications team’s ethos is to support OpenAI’s mission and goals by clearly and authentically explaining our technology, values, and approach to safely building powerful AI. About the Role OpenAI is seeking an experienced communications professional to join our Platform & Research Communications team. This role will work closely with the Research Communications Lead and partner deeply with safety researchers, alignment researchers, and cross-functional teams to shape how OpenAI’s safety research is understood by researchers, journalists, policymakers, and the broader public. This position is responsible for developing and executing external communications strategies around OpenAI’s safety research—from alignment and evaluations to broader work that helps advance the safe development and deployment of increasingly capable AI systems. The ideal candidate brings strong science or technical fluency, excellent storytelling instincts, and experience helping researchers communicate complex work with clarity, accuracy, and nuance. You will partner closely with research leadership, individual researchers, policy, product, safety, legal, and cross-functional communications teams. This role requires both strategic judgment and hands-on execution in a fast-moving environment where research, public understanding, and high-stakes safety narratives intersect. This role is based in San Francisco, CA and follows a hybrid schedule (three days per week in office). Relocation assistance is available. In this role, you will: Shape Safety Research Narratives Develop clear, credible external narratives around OpenAI’s safety research, including alignment, evaluations, preparedness, interpretability, and other areas connected to the safe development of frontier AI. Translate complex technical work into accessible stories without oversimplifying, overstating impact, or creating unnecessary alarm. Help define and reinforce OpenAI’s POV on key safety research topics and how they connect to OpenAI’s broader research roadmap and mission. Partner Deeply with Researchers Work directly with safety and alignment researchers to understand their work, identify the most important ideas, and help position those ideas publicly. Serve as a communications thought partner to researchers—helping them anticipate questions, clarify implications, and communicate with precision. Build communications plans that help researchers share their work through the right channels, at the right level of depth, and with the right context. Lead Proactive Storytelling & Content Strategy Develop proactive storytelling opportunities across blogs, explainers, video, podcasts, events, and other channels beyond traditional media. Help identify creative ways to elevate safety research and make the work more legible to expert and non-expert audiences. Look across the safety research portfolio to identify broader themes, narrative opportunities, and moments where OpenAI can contribute meaningfully to public understanding. Support Research Launches & Publications Partner with research teams to plan communications for major papers, evaluations, model-related research, safety initiatives, and other technical publications. Collaborate with editorial, design, social, policy, and research teams on blogs, explainers, visuals, briefing materials, and supporting content. Ensure launches are grounded in evidence, appropriately scoped, and aligned with OpenAI’s safety, policy, and communications priorities. Lead Research-Focused Media Engagement. Build and maintain trusted relationships with science, technology, AI, and business journalists who cover frontier AI and safety research. Manage proactive and reactive media engagement related to safety research announcements, papers, collaborations, and emerging narratives. Prepare researchers and executives for interviews, briefings, events, and public appearances. Cross-Functional Partnership Work closely with Product, Policy, Safety, Legal, Marketing, and other Communications teams to align safety research communications with broader company goals. Partner with teams managing crisis and reactive safety communications to ensure clear coordination, while maintaining focus on proactive research storytelling. Help build a stronger communications muscle around safety research across the organization. Risk Anticipation & Mitigation Identify potential reputational, scientific, policy, or misinterpretation risks early. Develop mitigation strategies, Q&A, messaging guidance, and briefing materials for sensitive or high-profile safety research topics. Help ensure OpenAI communicates responsibly about frontier capabilities, limitations, uncertainty, and the role of ongoing safety research. You might thrive in this role if you have: 7+ years of experience in research, science, technology, or safety-related communications. Demonstrated experience working directly with scientists, engineers, researchers, or technical leaders. Strong understanding of AI, machine learning, safety research, alignment, or adjacent technical domains. Exceptional writing and editing skills, with the ability to adapt tone for expert and general audiences. Strong judgment handling complex, ambiguous, or high-stakes narratives. Experience developing proactive storytelling strategies across multiple channels, including blogs, media, video, podcasts, events, or long-form content. Experience managing multiple workstreams in a fast-paced environment with shifting priorities. Strong project management and cross-functional collaboration skills. 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 OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help retail customers across UKI & North reimagine customer experience, store and supply-chain operations, merchandising, marketing, and enterprise productivity with AI. This role can be based in Munich or Berlin. In Munich, we use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In Berlin, this will be a remote based role for now. In this role, you'll: Manage a small number of key retail accounts, developing and executing strategies for a comprehensive account plan Lead large enterprise retail customers’ journeys from consideration to successful deployment Partner with solutions and research engineering to build and execute complex customer programs and projects Own a consumption revenue target Manage consumption revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the retail landscape across DACH (customers, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering Support the recruitment and onboarding of other teammates Support the development of company culture We're seeking someone with experience including: 10+ years selling platform-as-a-service and/or software-as-a-service to large Retail, grocery, ecommerce, consumer goods, or CPG organizations across DACH Familiarity with Retail industry trends, including AI-assisted customer experience, ecommerce and omnichannel transformation, personalization, store operations, supply chain, merchandising, marketing, and customer service Deep understanding of Retail customers’ AI transformation priorities, adoption challenges, and operating realities Achieving revenue targets >$2M per year for more than 3 years Designing and executing complex deal strategies Supporting the growth of fast-growing, high-performance companies Working directly with c-level executives Communicating technical concepts to customers and internal stakeholders Leading high-visibility customer events (CAB, conferences, product launches, etc.) Gathering, distilling, and processing complex market (industry, competitor, customer, prospect) intelligence You might thrive in this role if you: Are customer-centric. You are motivated to deeply understand your customer’s priorities and help them achieve their vision for using our models to improve their products and services. You build strong relationships with executives and professionals across functions and serve as a trusted advisor. Have a passion or deep curiosity in artificial intelligence. You embrace the opportunity to help deploy our technology in a way that benefits humanity. You’re excited to educate our customers on AI and how to plan for the future. Are a builder. You are excited to impact how our company operates and scales. Your passion is building strong systems and processes from the ground up and executing them with precision. Are excited by new challenges. You don’t have the answers to every question up front, but the process of solving them invigorates you. Bespoke issues requiring multidimensional knowledge excite you. You’re willing to experiment with new solutions. Are a strategist. You deeply understand go to market best practices and raise the bar for our organization. You think and plan forward on the order of years and bring internal and external stakeholders along with your strategy. 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 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 We're looking for Engineering Managers to lead engineering teams across Supabase. Teams range from developer-facing surfaces, core backend services, Platform, EngOps, and Databases. This is a single pipeline for engineering management. As we get to know your background, we'll match you to the team where your experience and interests overlap most strongly. The Engineering Manager is a people, delivery, and technical role. Although we don’t expect managers to contribute to code directly, we do expect you to participate in design discussions and to be involved in setting the bar for engineering quality and best practices. This is a new role at Supabase. We've historically optimised for technical excellence on every axis, including leadership. As our engineering org grows, people leadership has become just as critical, and the Engineering Manager role exists to reflect that. You'll be shaping what this role looks like from day one. What You'll Be Responsible For Team & People Build a healthy, high-trust team culture in a remote-first, globally distributed environment. Run 1:1s, performance management, career development, and onboarding for your direct reports. Handle people admin (leave, time off, etc.) for your team. Hiring Own the hiring plan for your team and act as Hiring Manager. First round of interviewer for all roles on the team. Partner with Talent Acquisition to source, interview, and close strong candidates. Contribute to headcount planning, org design, and the evolution of engineering leadership at Supabase. Delivery & Roadmap Own the team's roadmap and project management (Linear), driving accountability and clear milestones. Manage workflow intake and Slack triage. These are the team’s primary inboxes for cross-team requests. You decide what gets routed where, prioritized, or pushed back on. Own the team's weekly updates and keep stakeholders aligned without creating overhead. Organize effort against support tickets and maintain the team's SLO. Surface risks, dependencies, and tradeoffs early and clearly to leadership. Incident Commander Train as an Incident Commander. Drive coordination, resolution, and post-incident follow-up. Lead blameless post-incident reviews You Might Be a Good Fit If You Have 5+ years of engineering background, with enough depth to be credible with engineers building complex systems. Have 3+ years managing remote engineering teams. Have managed engineering teams at a cloud, SaaS, or developer tools company. Experience with developer tools or databases is a strong preference, but we'll consider any sufficiently technical background where you can demonstrate the ability to ramp on a new domain. Have managed remote, globally distributed teams that work asynchronously across disparate time zones. Are technical enough to be credible with strong engineers, but genuinely passionate about people management. This is the work you want to do, not a track you're settling for. Build psychological safety and a feedback culture: you give feedback often and in the moment, ask for it back, and create space for the team to do the same. Operate as a multiplier. Focused on helping individuals achieve more than they could alone, not on being the best technical voice in the room. Coach rather than direct. Remove blockers, connect people to context and resources, and trust your engineers to own how the work gets done. Have a real track record of performance management and can speak to specific examples of difficult conversations and how you navigated them. Are comfortable with ambiguity and capable of building structure where there isn't much. Communicate clearly and write well. You're default async, default written, set context proactively, and surface risks early. Are collaborative, low-ego, and adaptable. You thrive working with high-autonomy, senior ICs who have strong technical opinions and don't need to be the smartest person in the room. 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.
About the Team OpenAI, in close collaboration with our capital partners, is building the world’s most advanced AI infrastructure ecosystem. Our Industrial Compute organization develops and deploys large-scale AI campuses designed to support the next generation of frontier model training and inference workloads. The Hardware Operations team is responsible for ensuring the reliability, availability, and lifecycle health of OpenAI’s compute infrastructure. We partner closely with Data Center Operations, Fleet Health Engineering, Manufacturing, Network Infrastructure, Capacity Planning, and our infrastructure partners to maintain world-class operational performance across rapidly expanding AI environments. As we scale globally, we are building the operational frameworks, reliability standards, and sustaining engineering practices required to support thousands of GPUs and servers across multiple campuses. About the Role We are seeking a Datacenter Hardware Technician Lead to serve as the senior on-site technical authority for hardware reliability and fleet health at one of OpenAI’s flagship AI campuses. This role operates at the intersection of hardware operations, sustaining engineering, and fleet reliability. You will partner closely with Cloud Service Provider operations teams, OpenAI fleet-health engineers, hardware engineering teams, and OEM vendors to identify, diagnose, and resolve hardware issues affecting production systems. Beyond day-to-day operational support, you will drive root cause investigations, reliability improvement initiatives, lifecycle management programs, and operational readiness efforts. You will help establish hardware maintenance standards, operational procedures, and best practices that scale across future OpenAI infrastructure deployments. The ideal candidate combines deep hands-on datacenter hardware expertise with strong troubleshooting, failure analysis, and cross-functional leadership skills. Candidates must be able to sit onsite at our datacenters 5 days per week. Key Responsibilities Drive technical triage and resolution of complex hardware failures impacting production systems. Partner with Fleet Health Engineering to investigate recurring hardware issues, identify failure patterns, and improve fleet reliability. Lead root cause analysis (RCA) efforts for critical hardware incidents and develop corrective and preventive action plans. Collaborate with Cloud Service Provider operations teams and OEM vendors to coordinate repairs, replacements, upgrades, and hardware lifecycle activities. Establish and continuously improve hardware maintenance procedures, operational runbooks, and troubleshooting standards. Analyze hardware failure trends and operational metrics to identify reliability risks and improvement opportunities. Support new hardware introductions, validation activities, and production readiness reviews. Coordinate spare parts strategy and inventory planning with supply chain and site teams. Partner with Hardware Engineering, Manufacturing, and Infrastructure teams to provide field feedback that improves future platform designs. Develop scalable operational standards and best practices that can be deployed across future Stargate campuses. Mentor on-site technicians and partner teams on advanced troubleshooting methodologies and hardware operational excellence. Qualifications 8+ years of experience supporting large-scale datacenter hardware infrastructure, with experience in a senior technician, sustaining engineering, or hardware operations leadership role. Deep expertise with server platforms, GPU systems, storage infrastructure, rack integration, and datacenter hardware architecture. Strong experience diagnosing complex hardware failures and leading repair efforts in production environments. Experience conducting root cause analysis and driving long-term corrective actions. Strong understanding of hardware reliability engineering principles and fleet-health management. Proven ability to partner effectively across engineering, operations, manufacturing, and vendor organizations. Comfortable operating independently in high-priority production environments with significant operational responsibility. Excellent written and verbal communication skills with the ability to influence technical and operational decisions. Experience developing operational processes, maintenance standards, and technical documentation. Ability to travel occasionally to support new campus deployments and operational readiness activities. Preferred Qualifications Experience supporting large-scale GPU clusters or AI/ML infrastructure environments. Familiarity with fleet health systems, telemetry platforms, and hardware monitoring tools. Ability to identify appropriate data and perform detailed analysis to support all elements of this role, including dashboard development Experience with failure analysis methodologies such as FRACAS, RCCA, 5-Why, Fishbone, or FMEA. Knowledge of Linux system administration and hardware validation workflows. Experience supporting hyperscale datacenter operations or HPC environments. Familiarity with server manufacturing, rack integration, and NPI-to-sustaining transitions. Industry certifications such as CompTIA Server+, OEM hardware certifications, or equivalent experience. Experience applying Environmental Health and Safety (EHS) practices in mission-critical datacenter environments. 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 AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role is based in Seoul, South Korea. 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: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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 manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform. You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted. This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority. What You'll Own Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation You Might Be a Good Fit If You Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams Have a software engineering mindset — you write code and build tools, not just configure them Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres) Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable) Communicate clearly and persuasively — this role requires influencing without authority across a distributed org Have experience in async or globally distributed teams Are energized by making other teams more effective rather than being the one who fixes everything Nice to Have Experience with Kubernetes-based platform operations Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics) 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: We’re seeking an experienced UX Researcher to define and scale how we evaluate Notion’s AI-powered experiences—focusing on what “good” looks like not only for model output quality, but for the end-to-end product experience where people discover, set goals, delegate work, review results, and build trust over time with AI. This role sits at the intersection of research craft and evaluation operations: you’ll run studies that uncover user mental models, expectations, and failure/recovery behaviors, then translate those insights into reusable rubrics, workflows, and measurement approaches that product, design, engineering, and data science can apply consistently. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Define what “good” looks like (frameworks & rubrics): Establish clear, reusable evaluation criteria that reflect real user expectations—helpfulness, trust, tone, control, and transparency. You’ll translate qualitative insight into scoring guidance that can be applied consistently across teams and over time. Run recurring evals (longitudinal & feature-specific): Run recurring longitudinal and feature-specific surveys and studies to measure experience quality over time against defined rubrics. Lead qualitative studies, side-by-side comparisons, and human-in-the-loop evaluation efforts to deepen understanding of where experiences break down and how they can improve. You’ll help teams spot regressions, benchmark improvements, and understand when expectations shift. Anchor evaluation in real workflows (context > isolated feedback): Ensure evals reflect jobs-to-be-done, user intent, and the full interaction journey (goal setting, delegation, review, iteration), not just decontextualized thumbs up/down. You’ll help teams understand who is evaluating, what they’re trying to do, and why outputs succeed or fail. Identify failure modes & recovery behavior (guardrails): Uncover breakdowns, regressions, and edge cases across the system—from model behavior to UI and integrations—and study how people notice issues, correct them, and continue their work. You’ll turn these insights into actionable guidance for guardrails, fixes, and prioritization. Operationalize evaluation with partners (process & tooling): Collaborate closely with Product, Design, Engineering, and Data Science to align on target use cases and build scalable evaluation loops (human-in-the-loop review, longitudinal studies, and calibration of automated/LLM-judge approaches against human judgment). Skills You'll Need to Bring: Ability to operationalize insight into measurement: You’re comfortable turning “soft” user expectations (trust, tone, usefulness, clarity) into concrete rubrics, scoring guidelines, and observable metrics. AI fluency and systems thinking: You’re curious and hands-on with AI products, and can reason about how model behavior, uncertainty, and system constraints shape user experience. You also have experience evaluating AI-enabled products (LLMs, agents, generative UI/workflow automation) and working with Data Science/ML partners on measurement strategy and evaluation tooling. Clear communication and impact orientation: You can align diverse partners around shared definitions of quality and create artifacts that enable teams to act consistently. You tailor storytelling to different audiences, connect research to business outcomes, and drive follow-through so insights translate into product change. Strong UX research craft (quant + qual): You can choose the right methods for the question— interviews, benchmarking, surveys, experiments—and synthesize into actionable guidance. You also can prioritize ruthlessly, work through ambiguity, and balance scrappy iteration with deep dives when needed. Pragmatism in fast-moving environments: You can prioritize ruthlessly, work through ambiguity, and balance scrappy iteration with deep dives when needed. Experience: 5+ years doing UX research in industry Nice to Haves: Familiarity with LLM-as-judge methods, prompt design for evaluators, or “golden dataset” creation Experience using AI research tooling for rapid synthesis and communication (e.g., Dovetail, Listen Labs, Maze, Outset, etc.), as well as AI observability tooling like Braintrust Experience using data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) Master’s or PhD in HCI, Psychology, Behavioral Science, Anthropology, Sociology, or a related field You’re familiar with the work of computing heroes like Douglas Engelbart, Alan Kay, Bret Victor, etc. — and understand why we're big fans. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $196,000-$230,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.