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About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We're a growing hardware company. As we scale, we also need a supply chain that evolves and stays nimble to the changing shape and direction our engineers designs. Today we need someone who understands the iterative process of R&D but is also ready to expand into new product introduction (NPI), and after that, high-volume manufacturing. We're hiring for where we're headed, not just where we are today. This role prioritizes judgment, adaptability, and analytical ability over years of experience alone. A strong candidate will be able to reason from first principles, quickly develop expertise in new commodities, and identify potential commercial or technical issues before they affect the program. While extensive tenure is not required, this is not an entry-level position; candidates should have a solid foundation in strategic sourcing, supplier management, and hardware manufacturing. Over time, you'll help us build out a full supply chain organization: buyers, global supply managers (GSMs), contract manufacturing leads, and specialists across categories like precision machining, gears and mechanical components, EMS/PCBA, electrical components, and contract/JDM manufacturing. Where this role goes - into a specific commodity, into people management, into ops - will depend on where you're strongest and where the business needs you most. This role is based in San Francisco, CA and requires in-person presence 4 days a week and up to 30% travel to vendor sites. In this role you will: Partner directly with engineering during R&D to source components, qualify vendors, and get quotes and samples turned around quickly, without waiting on a fully built-out process. Build supplier relationships from scratch in categories that matter to us today (and be willing to pick up new ones as our needs shift). Evaluate quotes, lead times, and vendor capabilities well enough to make a sound call even when the data is incomplete. Be a cross functional partner that is able to work with legal, finance, and the leadership team to gather approvals and remove roadblocks. Help stand up the processes, tools, and vendor scorecards a growing supply chain org actually needs. You won't be inheriting a mature system, you'll be helping build it. As we move into NPI, work with engineering and quality to get designs ready for production: DFM feedback, first-article inspection, pilot builds. As we scale into high-volume manufacturing, help transition sourcing relationships and processes from prototype-friendly vendors to production-grade suppliers and contract manufacturers. Flag risk early — single-source dependencies, long-lead components, supplier financial or quality issues — and bring solutions, not just problems. You might thrive in this role if you: Strong reasoning ability and intellectual curiosity. You should be comfortable digging into a new commodity or technology you don't know well and getting up to speed fast. Solid grounding in supply chain fundamentals - purchasing, negotiation, supplier management, basic understanding of manufacturing processes, even if your total years of experience are modest. Comfort with ambiguity. Early-stage supply chain work means incomplete data, shifting priorities, and building the plane while flying it. Direct, clear communication with engineers, with suppliers, and with leadership. Some exposure to the hardware supply chain is required; deep specialization is not. Any of the following is a plus, not a prerequisite: precision machining, gears/mechanical components, EMS (electronics manufacturing services), PCBA, electrical/electronic components, contract manufacturing or JDM relationships. Bachelor’s degree in engineering or a related technical field, or equivalent hands-on experience working with technical hardware, components, manufacturing processes, and technical supplier decisions. What success looks like: Within the first 6 months, you will have: Engineering and manufacturing see you as a highly responsive, agile partner who moves at their pace, turning evolving technical and production needs into viable supplier options, quotes, samples, and clear recommendations without becoming a bottleneck. You’ve built a strong understanding of our most important commodities, suppliers, cost drivers, lead times, and manufacturing constraints. Our highest-priority supply risks (long-lead parts, single-source dependencies, quality concerns, and weak supplier capacity) are visible, actively managed, and backed by practical mitigation plans. You’ve established strong relationships with existing suppliers and added credible alternatives where we need more capability, leverage, or resilience. The basic operating system for supply chain is taking shape: clear sourcing and purchasing workflows, reliable supplier and part data, and lightweight tools for tracking cost, delivery, quality, and risk. You’re helping prepare upcoming designs for NPI by bringing supplier, manufacturability, cost, and lead-time considerations into engineering decisions early. Most importantly, you’re operating with independence: making sound calls with incomplete information, escalating the decisions that genuinely need leadership input, and consistently bringing solutions rather than just identifying problems. 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.
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is in a unique position—we are profitable, which gives us the flexibility to invest thoughtfully as we grow. We want to build a company that scales well—not just in our product, but in how we run our GTM programs. In this role, you’ll design and evolve the systems and process that power our deal desk process. This person will help build the mechanics behind our sales-led deals: quotes, order forms, pricing, discount approvals, and contract terms. A strong candidate has run quote-to-cash at a SaaS company and can spot where the process is slow, manual, or leaky. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America (west coast). We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Own the quote-to-order-form workflow: accurate quotes, correct terms, and a clean path from verbal yes to signed and billed Build and run the deal approval and discount matrix, so Account Executives know what they can self-serve and what needs sign-off Be the single point of contact for deal structuring questions that today land on Account Executives mid-deal Partner with Finance and Legal to keep the order-to-cash process clean, controlled, and free of revenue leakage Support usage-based and consumption deals as AI billing rolls out, from how they are quoted through the hand-off to billing Find and remove manual work: automate what can be automated, document what needs to be documented Help us get and stay audit ready by making sure deals are recorded correctly What we're looking for 3-5 years in deal desk, order management, revenue operations, or quote-to-cash, ideally at a high-growth SaaS company Strong command of the full quote-to-cash cycle, from pricing and approvals through order form and billing hand-off Comfortable building process from scratch: workflows, approval logic, controls, and documentation, without a playbook handed to you Sound judgment on the tradeoff between deal speed and control, and on sensitive pricing and deal information A clear communicator who can hold a deal conversation with an Account Executive, Finance, and a customer, and have each one walk away with what they need Proficiency with CRM and quoting tools; experience with usage-based billing, multi-currency, or CPQ is a strong plus What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: Competitive salary and equity Employee-friendly equity terms including early exercise in the US and extended exercise windows Daily meal and coffee stipend on every workday Paid co-working space or desk Health coverage (based on country requirements) 5 weeks paid vacation, plus local statutory holidays 4 months paid parental leave Paid month off after 4 years & every 2 years thereafter Regular team events and off-sites Remote-first with no required commute Learn how we think and work A story about our mission: Read Me Our hiring process: How we hire at Linear How we work: Designing remote work at Linear How Linear uses Linear: How our Customer Experience team works in Linear A video series: Conversations on Quality Building our teams: Why and how we do work trials at Linear Our recent tender offer: Sharing Linear’s growth with the people building it Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is in a unique position—we are profitable, which gives us the flexibility to invest thoughtfully as we grow. We want to build a company that scales well—not just in our product, but in how we run our GTM programs. In this role, you’ll design, own, and evolve the systems that power our sales, success, and marketing teams. You’ll take ideas from concept to execution, streamlining our tech stack, introducing automation and AI where it meaningfully improves outcomes, and building scalable workflows that help our customer-facing teams focus on high-impact work. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America (east coast) or London. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do Increase the productivity of our Customer-facing teams through automation, AI, and process improvement Execute and find ways to scale our PLG → PLS motions Ideate new ways to go to market Help the business make data-informed decisions through analysis and discussion Work cross-functionally to keep leaders and departments informed and aligned with plans Design and improve the process that our sales, success, and marketing teams run on What we're looking for 6+ years at a fast-growing SaaS company, ideally in a Revenue Operations, GTM Operations, or Systems role Broad command of GTM systems (HubSpot, Salesforce, or equivalent, plus the surrounding sequencing and enrichment stack) Comfortable moving between hands-on system work and higher-level thinking about process, strategy, and outcomes Fluent in GTM metrics: pipeline, conversion, segmentation, win rate, and lifecycle Comfortable with SQL and data, and pragmatic about where AI genuinely helps versus where it is a distraction Able to operate in ambiguity, adjust priorities as the business evolves, and make pragmatic decisions with good judgment and common sense A strong partner to Sales, Customer Success, Marketing, and leadership, able to translate business needs into scalable process and systems What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: Competitive salary and equity Employee-friendly equity terms including early exercise in the US and extended exercise windows Daily meal and coffee stipend on every workday Paid co-working space or desk Health coverage (based on country requirements) 5 weeks paid vacation, plus local statutory holidays 4 months paid parental leave Paid month off after 4 years & every 2 years thereafter Regular team events and off-sites Remote-first with no required commute Learn how we think and work A story about our mission: Read Me Our hiring process: How we hire at Linear How we work: Designing remote work at Linear How Linear uses Linear: How our Customer Experience team works in Linear A video series: Conversations on Quality Building our teams: Why and how we do work trials at Linear Our recent tender offer: Sharing Linear’s growth with the people building it Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
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: The Product Infrastructure team works on creating abstractions and data models that solve enduring problems across the stack. We solve problems that span multiple product surfaces and typically stretch across both front-end and backend and unblock new product avenues that were previously challenging to create. 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: Shape and build the core frameworks that enable reading and writing data in Notion, integrating feedback from internal customers along the way, using whatever tools are required for the job, such as AWS, Postgres, NodeJS, TypeScript, React on the frontend. Design new systems and abstractions that improve developer productivity, reliability, and performance by handling entire classes of problems up-front for product engineers. Solve hard technical challenges such as designing abstractions for efficient traversal of the user content graph, building a system to sync user content for offline use, or scaling our permission model to serve large customers with complex content. Skills You'll Need to Bring: Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution. Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line. Strive for simplicity: You think critically about the implications of what you're building, and aim for the most simple and well-crafted design. You understand the consequence of complexity, and are motivated to eliminate them. Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. Nice to Haves: You have leveraged the features of typed languages (e.g. TypeScript, Flow) to drive code migrations, or have implemented your own data modeling paradigms (e.g. writing your own ORM, sync engine, or query language). You have seen how fundamental abstractions scale within a large codebase, and are curious about how different organizations solve similar problems (e.g. TAO by Meta, Zanzibar by Google). You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. You have interests outside of technology, such as in art, history, or social sciences. 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 $150,000 - $200,000 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.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an Account Executive, SMB who will play a critical role generating new business and fielding inbound prospects across Southern Europe. You will be responsible for targeting, building and nurturing positive relationships with key decision-makers and assisting them through their Figma evaluation and buying process of all products. This is an opportunity to accelerate your career, learn from leading sellers in the industry and build an incredible network of cross functional partners at Figma. What you'll do at Figma: Create and manage a pipeline of SMB accounts from inbound and outbound activity to consistently meet or exceed quarterly and annual sales targets Apply effective discovery and value-selling techniques to build and strengthen relationships with key decision-makers in both new and existing customers (500 Align with key decision makers to identify where Figma’s roadmap and innovations can solve business challenges Conduct thorough analysis to tier and prioritize accounts in large volumes Expertly position Figma and engage cross-functional partners where necessary to drive deals forward Leverage opportunities to advance relationships through in-person meetings and networking opportunities We'd love to hear from you if you have: Experience closing sales for a software or SaaS business in an outbound function Consistent performance meeting pipeline generation targets for net new business Demonstrated experience successfully managing high volume sales cycles (1-3 months) A sales methodology and process that creates value for customers Fluency in French While it’s not required, it’s an added plus if you also have: Experience selling solutions to technical audiences (i.e. Engineering, Product, Design teams) Demonstrated ability to succeed in a changing environment Certified in deal qualification and prospect discovery At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice .
About the Team OpenAI’s Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the power, cooling, electrical, mechanical, and controls infrastructure needed to deliver compute at unprecedented scale. The Commissioning organization is responsible for ensuring this infrastructure is safely tested, validated, integrated, and transitioned into reliable operations. For our self-build campuses, the team operates through a hybrid delivery model: OpenAI provides commissioning leadership, discipline ownership, governance, and project integration, while commissioning partners provide field and test engineering capacity to support inspections, startup, testing, and turnover. About the Role We are seeking a Commissioning Project Lead to own the commissioning strategy and execution for a large-scale, self-build data center project. You will lead the overall commissioning program from early construction planning through startup, functional testing, integrated systems testing, and final turnover. You will establish the commissioning execution plan, integrate commissioning activities into the master project schedule, coordinate multidisciplinary readiness, and lead the vendor commissioning partners providing field and test engineering capacity. This role serves as the primary commissioning interface to project leadership, construction management, contractors, equipment vendors, operations, and commissioning partners. You will be responsible for creating clarity across organizations, identifying readiness and schedule risks early, and ensuring the facility progresses through testing and turnover against clearly defined acceptance criteria. The role will initially support planning and coordination in a hybrid capacity and transition to full-time onsite presence as construction, inspections, startup, testing, and turnover become active. Key Responsibilities Own the project commissioning strategy and execution plan, including scope, governance, acceptance criteria, responsibilities, sequencing, and escalation paths. Lead the hybrid OpenAI and commissioning-partner delivery model, establishing clear RACI ownership, staffing requirements, performance expectations, and issue-management processes. Integrate commissioning into the master project schedule, including construction readiness, energization, equipment startup, functional testing, integrated systems testing, and turnover milestones. Lead commissioning coordination across construction management, contractors, design teams, equipment vendors, operations stakeholders, and field/test engineering teams. Drive multidisciplinary commissioning readiness across electrical, mechanical, controls, and supporting infrastructure, identifying dependencies and resolving blockers before they affect testing. Own visibility into commissioning risks, including schedule constraints, readiness gaps, design and submittal issues, safety constraints, resource bottlenecks, deficiencies, and documentation quality. Coordinate QA/QC inspections and test execution with discipline commissioning leads, contractors, equipment vendors, and commissioning partners. Review commissioning plans, test procedures, readiness checklists, deficiency logs, test reports, turnover packages, and other commissioning deliverables against established acceptance criteria. Provide clear project and executive reporting on commissioning readiness, staffing, test progress, open risks, issue aging, and turnover status. Drive final system acceptance, turnover readiness, closeout, and lessons learned to support a reliable transition from construction into operations. Qualifications 10+ years of experience in commissioning, construction, engineering, technical program management, or project delivery for mission-critical facilities or similarly complex technical infrastructure. Demonstrated experience leading multidisciplinary commissioning programs through construction readiness, startup, functional performance testing, integrated systems testing, and turnover. Strong working knowledge of electrical and mechanical commissioning workflows, with the ability to coordinate dependencies across power, cooling, controls, and supporting systems. Experience integrating commissioning activities into construction schedules, lookaheads, energization plans, equipment startup sequences, and turnover milestones. Strong owner, contractor, equipment vendor, and commissioning-agent management skills, including the ability to drive accountability across organizations without direct authority. Experience managing commissioning documentation, test procedures, deficiency resolution, issue tracking, acceptance criteria, and quality governance. Ability to identify commissioning and operational-readiness risks early and translate technical issues into actionable schedule and project decisions. Strong written and verbal communication skills, including experience communicating technical readiness, risk, and recovery plans to senior project leadership. Owner-side commissioning experience and experience establishing or scaling hybrid owner/vendor commissioning delivery models are strongly preferred. Professional credentials such as a PE license, QCxP, CxA, BCxP, CCP, PMP, or other relevant commissioning, engineering, construction, or project management certification are preferred. Location This role will support one of OpenAI’s self-build data center campuses in the Savannah, Georgia metro area or Abilene, Texas area. The initial planning and ramp period may operate in a hybrid capacity, with the role transitioning to full-time onsite presence as the project enters active construction, startup, testing, and commissioning. Travel to project sites, vendor facilities, and other locations may be required based on project needs. 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 Industrial Compute organization is building the infrastructure required to support the next generation of frontier AI systems. Through a combination of strategic partnerships and self-built data center campuses, we are scaling the physical infrastructure needed to deliver compute at unprecedented scale. The Commissioning organization is responsible for ensuring this infrastructure is safely tested, validated, integrated, and transitioned into reliable operations. As the portfolio grows, the team is building common standards, processes, tools, and reporting systems that allow commissioning programs to operate consistently across projects while giving teams and leadership clear visibility into readiness, risk, and execution. About the Role We are seeking a Commissioning Program Manager to build and scale the operating systems behind OpenAI’s infrastructure commissioning programs. You will own the development and continuous improvement of commissioning standards, processes, tools, dashboards, and KPIs across the infrastructure portfolio. You will work closely with commissioning and construction teams to translate field execution needs into practical playbooks, workflows, templates, metrics, and reporting mechanisms that teams can use from construction readiness through testing and turnover. This role sits at the intersection of infrastructure delivery, program management, process design, and data. The ideal candidate understands how complex construction projects operate and can turn fragmented workflows and project data into repeatable systems that improve execution without creating unnecessary administrative burden. Key Responsibilities Develop and maintain commissioning program standards, playbooks, process maps, templates, checklists, stage gates, and acceptance criteria across infrastructure projects. Establish consistent workflows for commissioning planning, construction readiness, QA/QC, issue management, document control, testing evidence, turnover, and lessons learned. Define and maintain commissioning KPIs, dashboards, and scorecards that provide visibility into readiness, inspection completion, deficiencies, test progress, data quality, and turnover health. Own requirements and operating workflows across commissioning trackers, construction management platforms, QA/QC systems, spreadsheets, and business intelligence tools. Partner closely with commissioning and construction leads to translate field execution needs into practical processes and tools that can scale across projects. Monitor adoption, data quality, and effectiveness of commissioning standards and tools; identify gaps and drive improvements as project and portfolio needs evolve. Establish reporting cadences and develop executive-ready reporting that clearly communicates commissioning health, trends, blockers, risks, and decisions required. Pilot new standards, processes, metrics, and tools on active projects, incorporate field feedback, and scale successful approaches across the infrastructure portfolio. Partner with data, analytics, and tooling teams to improve automation, source-of-truth alignment, data integrity, and reporting reliability. Drive continuous improvement by capturing lessons learned from project execution and incorporating them into future commissioning standards, workflows, dashboards, and KPIs. Qualifications 5+ years of experience in program management, project management, construction management, engineering, commissioning, facilities, project controls, or infrastructure delivery. Hands-on experience working in construction or complex infrastructure environments, with an understanding of how field work is planned, coordinated, tracked, documented, tested, and turned over. Experience developing or improving program standards, SOPs, process maps, playbooks, templates, trackers, stage gates, or operating rhythms used by project teams. Strong comfort with data, metrics, dashboards, and reporting, including the ability to define meaningful KPIs, identify data-quality issues, and translate project information into actionable insights. Working knowledge of commissioning, QA/QC, inspections, deficiency management, testing documentation, readiness reviews, or turnover processes; direct commissioning experience is strongly preferred. Experience with construction, commissioning, project management, or analytics platforms such as Procore, Autodesk Construction Cloud, CxAlloy, Bluebeam, Smartsheet, Excel or Google Sheets, Looker, Tableau, Power BI, or similar tools. Strong systems thinking with the ability to simplify complex workflows, establish clear ownership, and design processes that work for both field teams and program leadership. Demonstrated ability to drive process and tooling adoption across multidisciplinary stakeholders without relying on formal authority. Experience building dashboards, scorecards, KPI frameworks, or reporting systems for construction, commissioning, project controls, infrastructure operations, or PMO organizations is preferred. Experience with mission-critical infrastructure, data centers, manufacturing, energy, healthcare, laboratories, or other complex technical facilities is preferred; PMP, Lean/Six Sigma, CxA, QCxP, or related credentials are a plus. Location This role is based in the San Francisco office or at an OpenAI self-build data center campus and is not a remote position. Periodic travel to project sites is expected to develop a direct understanding of construction and commissioning workflows, support project teams, and ensure program standards and tools reflect field execution needs. Travel is expected to be less than 20%. 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. 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