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Supabase is the Postgres development platform, built by developers for developers to help them ship countless products that people love. More than 7 million developers trust us with their data, and we are custodians of every byte of it. Security is foundational to that trust, and as we move deeper into AI-native development, regulated industries, and enterprise, it shapes whether a developer chooses us on day one and whether a regulated company can build their most sensitive workloads on Supabase. About the role We're looking for a PM who can balance the constant tension between security and developer experience at platform scale. Every control you add is friction a developer has to absorb, and every default you loosen is a door an attacker could walk through. Finding the right balance between protecting customers and keeping them fast is the work of this role. You'll partner with Security Engineering, Compliance, and the platform teams that own auth, networking, and audit. This is a remote position and we're open to considering candidates located across EMEA and AMER time zones. In This Role You Will Set the security agenda for the platform. Lead Supabase's platform security roadmap end-to-end, from the defaults that protect a developer prototyping their first project to the advanced controls a Fortune 500 CISO needs before approving us. Hold the line between security and developer experience. Every security feature trades protection against friction. A control that's too strict pushes developers off the platform; one that's too easy to bypass doesn't protect anyone. Lead our security strategy for AI agents. Agents now read, write, and deploy on behalf of developers and companies, often at machine speed. You'll lead how Supabase authenticates, scopes, and audits agent activity so customers can give them real capability while staying in control of their data. Own our security product surface. Drive the roadmap for the security tooling customers use to operate safely on Supabase: firewall, security advisors, audit logs, Supabase Vault, just-in-time database access, and the IAM primitives that let regulated customers get to "yes" with their security team. Define the unified access model across Supabase. Roles, permissions, personal access tokens, OAuth integrations, organization and project modeling, SSO, and SCIM are foundational to how customers manage who can do what. You'll set the strategy that ties them together and drive the cross-cutting RFCs from proposal to shipped code. Drive the compliance roadmap. Supabase already runs a strong compliance program with SOC2 and HIPAA in place. Your job is to define what comes next so more regulated companies can adopt us. Be the customer's voice for security. Talk to enterprise prospects, regulated customers, and the security teams behind them. Translate what you hear into a roadmap that earns trust at every customer size, from the indie hacker prototyping their first project to the Fortune 500 CISO evaluating us for their most regulated workloads. Ship the docs that go with the code. Make the security guides on supabase.com the best in the category: clear, opinionated, and trustworthy enough that a developer evaluating us comes away convinced. You Might Be a Good Fit If You Have 7+ years in product management, with serious time on security, identity and access, infrastructure, or developer platform products at a company where security mattered to enterprise buyers. Have deep working knowledge of the security primitives our customers use like authentication, authorization (RBAC, RLS), audit logging, secrets management, OAuth. Have a track record of leading cross-functional initiatives across Product, Engineering, Security, GTM, and Compliance, and driving multi-team RFCs from proposal to shipped code. Are 100% comfortable in a remote, async, write-it-down culture. Are an exceptional writer. You can draft a customer-facing security disclosure, an internal threat model, a docs page, or a one-pager for a CISO without losing voice or precision. Nice to have Compliance fluency. You've worked alongside auditors and security teams on programs like SOC2, HIPAA, ISO 27001, PCI, or FedRAMP, and you can tell which requirements are real customer needs and which are checkbox theater. Technical depth in Postgres, auth systems, or networking primitives. Experience designing access models for AI agents or other automated systems. Shipped security features that enterprise CISOs had to approve before adoption. 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 We’re hiring software engineers to make OpenAI’s networking teams more productive. These teams build and operate the high-performance networking systems that support OpenAI’s training and inference infrastructure at frontier scale. About the Role We’re looking for someone who cares deeply about the developer experience of engineers working on complex infrastructure systems — especially around build systems, test architecture, release pipelines, and reliable development workflows. This role will be embedded with OpenAI’s networking team: making it faster, safer, and easier for engineers to build, test, validate, and ship changes across multi-server, networked, and hardware-adjacent environments. In this role you will: Improve development workflows for engineers building and operating OpenAI’s networking systems Design and improve continuous deployment, release, and validation pipelines Build and maintain test harnesses for multi-server, networked, and hardware-backed environments Improve iteration speed across C++, Python, and build-system-heavy codebases Partner with engineers to identify friction in CI, testing, debugging, and deployment workflows Drive testing and reliability strategy for infrastructure components that support large-scale training and inference workloads Work closely with centralized developer experience teams while staying deeply embedded with the networking engineers closest to the systems You might thrive in this role if: You are motivated by helping other engineers move faster and with more confidence You have experience with CI/CD, release pipelines, testing infrastructure, or build systems You are comfortable moving between C++, Python, and build systems such as CMake, Bazel, or Blaze You enjoy building test harnesses, automation, and workflow improvements for complex systems You do not need to be a networking expert, but you are excited to learn enough about the domain to make the team meaningfully more effective When you see repeated friction — slow builds, flaky tests, brittle release processes, painful debugging, unclear validation — your instinct is to fix the underlying system You are pragmatic and know how to balance high standards with forward progress You like going end-to-end: understanding the engineers, the workflows, the codebase, and the operational realities behind the system You are self-directed and comfortable operating with ambiguity in a high-context infrastructure environment 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 GPT Infrastructure team builds systems that turn advances in model inference and optimization into reliable production capabilities. We enable OpenAI workloads to be qualified and optimized across new accelerator platforms without requiring a one-off port and tuning effort for every hardware target. Our work spans distributed systems, model execution, compilers and runtimes, performance engineering, secure partner integrations, evaluation systems, and developer tooling. We build the infrastructure that makes optimization workflows automated, reproducible, and trustworthy. About the Role We are seeking a software engineer to help build the platform that qualifies and optimizes inference workloads across heterogeneous compute environments. You will develop both OpenAI-hosted services and secure partner-side software for running long-lived optimization workflows. These workflows generate candidate kernels, runtime configurations, and serving-stack changes; compile and execute them on target hardware; verify their correctness; measure their performance; and use the results to guide further optimization. You will work across model architecture, distributed execution, compilers, runtimes, networking, and accelerator systems. A central part of the role is turning research prototypes and one-off hardware bring-up efforts into reliable, reusable infrastructure with clear contracts, reproducible results, strong observability, and well-defined security boundaries. Key Responsibilities Design, build, and operate APIs and control-plane services for long-running workload qualification and optimization campaigns, including scheduling, retries, checkpointing, resource budgets, and observability. Build secure partner-side execution and evaluation software that can compile, run, verify, profile, and benchmark candidate artifacts on accelerator hardware. Integrate model workloads, hardware profiles, compiler toolchains, runtimes, serving engines, and distributed-execution backends into a repeatable platform. Develop correctness and performance evaluation systems spanning output fidelity, latency, throughput, memory footprint, accelerator utilization, communication efficiency, scaling behavior, and cost efficiency. Automate the generation, evaluation, and improvement of kernels, runtime configurations, parallelization strategies, and serving-stack changes. Diagnose performance and correctness issues across model code, kernels, compilers, runtimes, memory systems, networking, collective communication, and hardware. Build artifact-management, provenance, regression-testing, and qualification workflows for kernels, binaries, configurations, evaluation results, and deployment reports. Turn experimental research workflows into reliable product surfaces with clear interfaces, actionable failure modes, and strong developer ergonomics. Collaborate with Research, Inference Engineering, Runtime and Compiler teams, Infrastructure, Security, Product, and Strategic Partnerships to onboard and optimize new compute platforms. Drive technical architecture and execution across ambiguous initiatives spanning OpenAI systems and partner environments. Qualifications Strong software engineering experience building distributed systems, infrastructure platforms, production services, developer platforms, or orchestration systems. Proficiency in one or more systems-oriented languages such as Python, C++, Go, or Rust. Experience designing and operating APIs, job orchestration systems, durable workflows, or large-scale backend services. Strong understanding of Linux, networking, storage, containers, distributed execution, and modern infrastructure architectures. Ability to reason about model execution and diagnose problems across software and hardware boundaries. Experience using profiling, tracing, benchmarking, and measurement to guide engineering decisions. Strong ownership and the ability to work effectively across research, engineering, security, product, and external-partner teams. Preferred Skills Experience with AI infrastructure, model inference, distributed ML systems, or inference-serving platforms. Familiarity with GPU or accelerator architecture, memory hierarchies, interconnects, collective communication, and distributed model execution. Experience with compilers, runtimes, kernels, or performance engineering using technologies such as CUDA, ROCm, Triton, LLVM, or MLIR. Familiarity with inference engines or serving systems such as vLLM, SGLang, Triton Inference Server, or comparable internal systems. Experience with model partitioning, sharding, tensor or expert parallelism, and compute–communication tradeoffs. Experience building remote-execution systems, secure partner-facing infrastructure, evaluation harnesses, or artifact pipelines. Experience with automated optimization, search systems, coding agents, or evaluator-driven systems that iteratively improve kernels or runtime configurations. 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 a enterprise technical support engineer, you will work closely with our enterprise customers and engineers to resolve their most complex issues. You will also help build out systems and processes to manage tasks to completion. You will problem solve with our technical teams and work to resolve as much as you can while scaling our systems and support processes. This role will be based in San Francisco. 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 Work closely with our largest customers providing white-glove support to solve the most challenging support interactions Build and maintain strong relationships with enterprise customers, ensuring high levels of engagement and satisfaction Lead the troubleshooting and resolution of advanced technical issues across Notion’s platform and embedded partner applications, with a focus on unlocking AI usage for customers Act as a bridge between your customers and Notion engineering teams by reproducing issues, driving resolution through detailed bug reports, and closing the loop proactively with your customers Work cross-functionally across engineering and product to build processes and manage issues Perform advanced troubleshooting of products and embedded partner applications Reproduce customer issues, perform initial codebase triage, and file bugs with Engineering Manage key performance metrics defined within the team Respond to high-priority customer issues Create, refine, and scale support processes, working to improve overall support efficiency and effectiveness in handling complex, high-priority cases Collaborate on the creation and maintenance of both internal knowledge and customer-facing documentation, enhancing self-service support options for customers Participate in an on-call rotation to assist customers outside of normal working hours (once in a few months) Skills You'll Need to Bring 10+ years of experience in technical support, technical account management, or similar role You have experience owning and scaling support processes end-to-end to drive customer and company outcomes. This includes but is not limited to creating internal documentation, proposing and owning process changes, and advocating for specific customer outcomes You have a strong understanding of and experience with REST APIs You have experience advising customers on AI tool adoption You have knowledge of Single Sign-On including OAuth, SAML, and SCIM You have knowledge and experience troubleshooting desktop applications on Microsoft Windows and macOS You have experience advising both technical and non-technical stakeholders, and communicating complex issues with clarity You have strong analytical, debugging, and problem-solving skills You are able to analyze server and client application logs and identify the root cause of errors You have strong written and verbal communication skills and can work with both technical and non-technical audiences You are able to balance user expectations while understanding policies and compliance boundaries You are able to work under pressure and remain focused, confident and professional You are able to collaborate effectively with peers and across teams that are located in multiple offices You have experience mentoring more junior team members to deepen their technical expertise and drive outcomes for the business and customers You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results Nice to Haves Knowledge of Linux, APIs, NoSQL, MySQL, and similar open-source technologies Experience with scripting languages such as Python, Java, JavaScript, or TypeScript Deep existing knowledge of Notion Experience operating in an organization that does Knowledge-Centered Service (KCS) 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, the estimated base salary range for this role is $160,000 - $185,000 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 . #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 OpenAI’s Industrial Compute team is responsible for building and scaling large-scale compute capacity across first-party data centers, strategic partners, and industrial infrastructure environments. We focus on converting power, land, hardware, and operational execution into reliable compute capacity that can support frontier AI training and inference workloads. This team operates at the intersection of infrastructure delivery, hardware systems, utilities, supply chain, and capacity strategy—ensuring OpenAI can scale compute faster than traditional models allow. About the Role We are seeking a GPT Infrastructure Lead to drive the end-to-end conversion of industrial-scale infrastructure investments into usable token capacity for OpenAI workloads. In this role, you will own execution across complex compute programs where raw infrastructure capacity must be transformed into operational GPU throughput. You will coordinate across data center delivery, power, networking, hardware deployment, workload enablement, finance, and external partners to ensure capacity becomes productive tokens as quickly and efficiently as possible. This role is ideal for someone who can bridge physical infrastructure delivery with compute utilization outcomes. Success requires strong systems thinking, elite program leadership, and the ability to drive accountability across internal teams and strategic partners. In this role, you will Lead GPT Infrastructure programs across industrial compute environments, including first-party and partner-owned capacity. Convert delivered power, space, and hardware capacity into production-ready token throughput. Build integrated execution plans spanning construction, power energization, rack deployment, networking, cluster readiness, and workload onboarding. Partner with infrastructure engineering, hardware, networking, finance, supply chain, and operations teams. Drive external providers, EPCs, OEMs, utilities, and strategic partners toward aggressive timelines. Identify bottlenecks between physical delivery and usable compute output, then lead resolution. Build operating cadences, dashboards, forecasts, and executive reporting for TaaS programs. Develop repeatable deployment models for future industrial compute expansion. You might thrive in this role if you Have led hyperscale infrastructure, data center, manufacturing, or industrial deployment programs. Understand how power + hardware + networking + software combine into usable compute. Can operate equally well with engineers, operators, executives, and external partners. Are highly structured in ambiguous, fast-moving environments. Know how to escalate intelligently and maintain momentum under pressure. Can translate technical execution into business outcomes. Preferred Skills Experience with GPU clusters, AI infrastructure, hyperscale data centers, or industrial technology programs. Background in program management, operations leadership, capacity delivery, or strategic infrastructure execution. Familiarity with utilities, construction, commissioning, networking, hardware deployment, or cluster bring-up. Experience managing multi-billion-dollar infrastructure or capacity programs. Strong executive communication and stakeholder management 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.