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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 a Director, Strategic Sales to join our team of creatives, engineers, marketers, and business leaders. You aren't the typical sales leader, and we aren't the typical design tool company. At Figma, we challenge conventional thinking and expect you to bring that same mindset. With this role, you'll help shape a sales org still early in its growth trajectory. You'll lead a team focused on our largest clients in driving meaningful relationships that add value to the customer experience and revenue to our bottom line. Figma is growing and moving fast. Our next team member will be adaptable, comfortable embracing change, a true team-player, and love working with our growing footprint of Fortune 1000 customers. You won't be alone! Figma has an incredible team and you'll work closely with other groups including Support, Design, Engineering, Product Marketing, and Community. As our Director, Strategic Sales, you will lead a team of Strategic Account Executives in Berlin responsible for continuing the growth of our top tier accounts. What you'll do at Figma: Drive the development of strategic sales roadmaps, prioritizing initiatives, and goals to maximize revenue generation Present and position our products effectively to C-level executives. Participate in customer and prospect meetings, coaching your team through live selling opportunities Monitor market trends, competitive landscapes, and industry developments to inform strategic sales decisions and adapt strategies as needed Collaborate closely with the marketing and product teams to ensure they understand and can service the needs of the market and members in the region Be passionate about career development and coaching. Build a diverse team, create and foster an environment of belonging Lead weekly forecast meetings and mentor the Sales team on strategies to help exceed their goals. Bring strong sales excellence, process and methodology as we expand and scale the business We'd love to hear from you if you have: 7+ years of sales experience (preferably within SaaS) with 3+ years of management experience Experience managing strategic accounts and understanding of our technical and competitive landscape Track record of adapting strategy and execution as business needs evolve Exceptional coaching, writing, discovery and presentation skills with a proven track record of leading successful and consistent sales team Track record of increasing customer satisfaction and building lasting customer relationships 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 . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Community Engagement Lead will be the primary bridge between OpenAI and the communities in Ohio. This role ensures that OpenAI builds strong, trust-based relationships with local stakeholders, communicates proactively about our projects, and integrates community priorities into our development approach. The role spans engagement, communications, and reputation management, and will partner closely with the Economic Development and Environmental leads. Key Responsibilities Build and maintain relationships with local leaders, community organizations, NGOs, and residents. Develop and execute community engagement strategies for new and existing sites. Represent OpenAI in public forums, hearings, and community events. Partner with the Economic Development Lead on incentive compliance and community benefits. Partner with the Environmental Lead on communicating environmental stewardship and sustainability efforts. Develop proactive communications to address concerns, highlight benefits, and reduce risk of opposition. Monitor community sentiment and advise executives on risks and opportunities. Create a community engagement playbook that can scale across geographies. Qualifications 8+ years in community affairs, public engagement, or corporate communications. Proven track record engaging diverse community stakeholders for large infrastructure or technology projects. Strong public speaking and facilitation skills. Ability to manage sensitive political and reputational issues. Experience integrating community benefits (workforce, education, infrastructure support) into development strategies. Collaborative and adaptable, with experience working across government, community, and corporate teams. 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 We're building the foundation for a new kind of AI coworker: persistent agents that have their own environments, can meet people wherever they work, and continue making progress for as long as a task requires. Our goal is to help individuals, teams, and organizations delegate meaningful work to AI—not just ask questions or complete a single turn. Our work brings together product, agent, and infrastructure capabilities across OpenAI. Together, we are creating always-on virtual coworkers that can carry context across tasks, operate through the right tools and channels, and deliver reliable results in real workplace environments. About the Role We’re looking for a full stack product engineer to shape how people discover, direct, and collaborate with AI coworkers. You’ll own product experiences end to end, spending roughly equal time building intuitive frontend surfaces and the backend systems that make agentic workflows persistent, reliable, and useful. You’ll work at the intersection of product engineering, design, agent capabilities, and enterprise readiness—turning rapidly evolving model and platform capabilities into experiences customers can understand, trust, and use every day. In this role, you will: Design, build, and ship full stack product experiences that help people and teams delegate meaningful work to persistent AI coworkers. Create intuitive frontend interfaces for directing agents, reviewing their progress, understanding their actions, and collaborating on the work they produce. Build backend APIs, services, and data models that support persistent agent state, asynchronous execution, orchestration, and progress reporting. Develop workflows that help agents access relevant context, use tools, and collaborate with people across workplace surfaces and channels. Partner with product, design, research, and engineering teams to turn shared capabilities into cohesive products. Build trust into the product through clear user controls, understandable agent behavior, safe execution, and reliable operational foundations. Use customer feedback, product insight, and rapid iteration to identify high-value workflows and improve how AI coworkers deliver useful results. You might thrive in this role if you have: 7+ years of professional full-stack or product engineering experience, ideally building user-facing products in product-driven or enterprise environments. A track record of shipping polished user-facing products and production backend systems with meaningful ownership across the full stack. Strong frontend skills with TypeScript, React, and modern web application development, including a thoughtful approach to interaction design and usability. Experience building backend services, APIs, data models, and production systems in Python, Go, Rust, TypeScript, or similar languages. Strong product judgment and comfort taking ambiguous customer problems from concept through implementation, launch, and iteration. Experience designing software for complex workflows, collaboration, enterprise users, developer tools, or other trust-sensitive product environments. Ability to reason about asynchronous work, stateful systems, reliability, performance, security, and the tradeoffs required to deliver a great user experience. Proven ability to work closely with product managers, designers, researchers, and engineers across multiple teams. High agency, strong execution, and enthusiasm for building new products in a fast-moving environment. Interest in AI agents and the future of work; experience with agentic systems, enterprise software, or early-stage products is helpful 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.
About the Team OpenAI’s User Operations team shepherds our customers’ adoption of AI and ensures that our customers' product experience is nothing short of exceptional. We are building the very first post-AGI support team. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others, to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us. In this role, you’ll work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in one of the fastest-moving environments in technology. As AI adoption rapidly accelerates, the work you do will directly support mission-critical systems being built on OpenAI’s platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you’ll help define what world-class support looks like in an AGI-driven future. You’ll partner closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience, while leveraging automation, agents, and our own AI technology to transform how support operates at scale. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Work directly with customers to troubleshoot and resolve their most complex technical issues, including API failures, integration challenges, authentication errors, and production incidents. Providing end-to-end ownership through debugging logs, analyzing system behavior, reproducing issues, and delivering expert guidance. Become a trusted expert on OpenAI’s products and platform, serving as a go-to resource for complex technical issues. Serve as a critical escalation point and line of defense for complex technical issues, partnering closely with customers and Engineering teams to troubleshoot, resolve, and proactively prevent recurring problems while leveraging scripting and emerging AI capabilities to improve internal tooling and automate operational workflows. Take learnings from resolving customer issues and creating our approach to scaling these solutions, partnering with Product and Go-To-Market teams. Drive operational excellence by identifying opportunities for automation and AI-powered workflows, implementing scalable improvements that increase team efficiency, reducing manual effort, and elevating the overall support experience. Provide occasional holiday and weekend support on call coverage, as needed, to support business and customer needs. You might thrive in this role if you: Have 5+ years of experience in User Operations, Engineering, Support Engineering or similar technical roles, ideally within high-growth tech startups or other fast-paced environments. Are comfortable using emerging technologies (ie. Codex, ChatGPT, OpenAI API, etc.) to script or engineer code (e.g., Python) for automating repetitive tasks and integrating tools. Have expert-level SaaS troubleshooting skills with the ability to rapidly understand new technologies and complex concepts. Polished enterprise communication and are calm with high-stakes customers during live incident calls. Proven experience building strong relationships with customers and cross-functional partners to drive resolution to complex issues. Exceptional critical thinker and problem solver with the ability to clearly communicate complex technical issues to both customers and internal teams. Thrive in ambiguity, adapt rapidly to change, continuously learn, and proactively seek opportunities for growth. Bring a humble, team first mindset, a genuine eagerness to help others, and the curiosity to quickly learn whatever knowledge is needed to help both your teammates and our customers succeed. Have a bachelor’s degree in Computer Science, Computer Engineering, another relevant technical field, or equivalent practical experience. 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 Technical Support team is responsible for ensuring that developers and enterprises can reliably build mission critical solutions using OpenAI models. We provide technical guidance, resolve complex issues and support customers in maximizing value and adoption from deploying our highly-capable models. We work closely with Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. We think from an automation-first mindset and leverage the latest in AI to scale our support operations. Join the Senior Support Engineering (SSE) team at OpenAI and help shape the future of Technical Support in the age of AI. About the Role We are looking for a Senior Support Engineer to collaborate directly with our strategic enterprise accounts and product teams, helping solve some of the most difficult problems faced by our Customers. You will be part of the best technical troubleshooting team at OpenAI, and our Customers and Engineering teams will look to you for technical guidance in addressing the most technically difficult issues in our environment. As a Senior Support Engineer, you will design and run operational processes to monitor our top strategic customers and a 24x7 response team. You’ll work closely with our Infrastructure and Engineering teams to deliver the best possible experience to customers at scale. Working directly with our most strategic Customers - You will be crucial to the success of the most innovative, disruptive, and high-scale AI solutions being built with the OpenAI API platform. The nature of this role will be low volume, high difficulty. This Toronto-based role is currently remote and is expected to transition to an in-office arrangement. In this role, you will: Be among the foremost technical and troubleshooting experts for our API platform at OpenAI. You are the last line of defense before the core Engineering team. Proactively identify and implement opportunities to scale support operations by leveraging automation and advancements in AI technologies. Contribute to shaping the future of technical support in an AI-driven era. Configure and use advanced monitoring and alerting workflows to proactively detect customer impacting issues in real time. In partnership with engineering, contribute to reliability reviews and preparedness for new features, launches, or strategic customer requirement updates. Ensure that operational readiness (monitoring, alerting, and fallback plans) is in place for any such changes. Design and refine incident response processes and documentation across strategic customers, engineering and support teams. Analyze operational metrics and incident RCAs to identify areas for improvement. Proactively recommend and implement enhancements to monitoring dashboards, alert configurations, and support workflows. Provide support coverage during holidays and weekends based on business needs. You might thrive in this role if you: Have a Bachelor’s degree in Computer Science or a related field. A strong software engineering foundation is important for this role’s success. Have 8+ years of experience in technical operations roles such as SRE/NOC, designing monitoring systems and resolving production issues in fast-paced and mission-critical environments. A strong track record of troubleshooting complex technical problems at the systems level. Have deep familiarity with modern monitoring, alerting, and observability practices. Hands‑on experience setting up or managing metrics, logging, and tracing for distributed systems (e.g., understanding of SLIs/SLOs, alert tuning, dashboard creation). Have proven experience leading incident response for high‑severity outages or service disruptions. Able to perform real‑time incident coordination, root cause analysis, and drive follow‑ups (post‑mortems, action items) to prevent recurrence. Knowledge of industry best practices for incident management and fault diagnosis. Have strong skills in scripting or software engineering (e.g., Python or similar) to automate repetitive tasks and integrate tools. Have solid understanding of cloud infrastructure and distributed systems fundamentals. Comfortable working with cloud services, load balancers, databases, and containerized applications. Are effective at working cross‑functionally in a high‑trust environment. Strong communication skills to explain technical issues and resolutions to both engineering and non‑technical stakeholders. You can coordinate efforts across teams and are comfortable providing updates in the midst of an ongoing incident. 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.
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're looking for a Brand Designer who can establish a clear visual direction for product storytelling and drive it through to execution: someone with a narrative mindset expressed visually, who can turn complex product strategy and feature detail into a story people actually feel for major product launches. You'll partner closely with product marketing, strategists, copywriters, designers, product designers, and motion designers to create storyboards, styleframes, and visual directions that translate product strategy and features into captivating stories across launches and key product moments. This role is ideal for a designer who thinks in stories, loves the intersection of design and motion, and wants to shape how Figma's product shows up in the world, with clarity, emotion, and craft. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Turn product strategy, market context, and feature complexity into storyboards and styleframes that carry the launch story Partner with copywriters, designers, motion designers, strategists, and producers to build narrative-driven assets across launches Help evolve Figma's visual storytelling system and apply it consistently Own visual direction on launch storytelling projects from early concepting to final delivery Push new visual formats and directions; don't just execute the existing playbook We'd love to hear from you if you have: A portfolio that shows strong visual point-of-view carried through to finished execution, across mediums, with examples of styleframes, storyboards, and concepting; spec work with fake brands or products is welcome A background distilling a business or strategy brief down to a single compelling idea, and driving that idea forward into execution Experience collaborating with motion designers, production teams, product marketing teams, and product design teams A strong sense of composition, color, and pacing, especially in motion contexts, used in service of clarity, not abstraction Proficiency in Figma (After Effects a plus, but not required) While it's not required, it's an added plus if you also have: Ability to create basic animations or motion tests independently Interest in researching and experimenting with new tools, workflows, and technologies Experience working on product launch films, explainer videos, or product walkthroughs Ability to translate strategic complexity and feature detail into a story worth telling A genuine understanding of and connection to Figma's values and mission — someone who is curious about the product and passionate about understanding it Comfortable setting visual direction and seeing it through, driving the work autonomously when needed 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. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $127,000 — $269,000 USD 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 . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.
About the Team The SaaS and Software Governance team sits within Corporate IT and helps OpenAI scale from startup-speed tooling to mature enterprise architecture. The team owns practical governance for software, SaaS, integrations, APIs, identity, data access, and agent-enabled workflows, with a mandate to improve security, reduce software sprawl, and help business teams move faster through better foundations. About the Team OpenAI is scaling from an emerging, high-velocity startup into a mature enterprise operating model. The IT Software Architect will help shape the software, SaaS, Data integration, and agent-enabled architecture that lets the company move quickly while improving security, compliance, data quality, and customer, partner, and employee experience. This role is not a traditional ivory-tower architecture function. It is a hands-on governance and enablement role that partners with business teams, IT operations, Security, Procurement, Business Platforms, Applied teams and Data Engineering to guide software decisions, reduce unmanaged sprawl, and build reusable enterprise foundations. Why This Role Matters OpenAI’s software footprint is expanding rapidly across SaaS, internally built tools, agents, integrations, APIs, third-party platforms, and application systems that OpenAI. The company needs a stronger tools architecture layer that can help teams make good decisions early, avoid duplicate tools, govern sensitive data and identities, and identify where OpenAI should build instead of buy. The person in this role will help turn software governance from an approval checkpoint into an enterprise capability: a system that improves speed, reliability, security, and business outcomes. What You'll Do Own the target architecture for enterprise software, SaaS, integrations, APIs, and agent-enabled business systems across Corporate IT. Drive deprecation and consolidate targets for enterprise software. Build lightweight governance patterns that guide teams before software and integration decisions become hard to unwind. Create architecture standards for identity, access, data movement, API usage, admin rights, auditability, observability, and vendor integration. Partner with Security to ensure software architecture addresses SSO, SCIM, MFA, privileged access, non-human identities, secrets, token storage, data residency, encryption, retention, and incident response readiness. Partner with Procurement and Finance to evaluate renewals, rationalization opportunities, enterprise agreements, and build-versus-buy decisions. Partner deeply with application verticals such as GTM, Finance, Legal, HR, Research, Product, and Operations teams to evaluate agentic business workflows and translate them into scalable enterprise system patterns. Review proposed SaaS and internally built tools for overlap, risk, integration quality, ownership, lifecycle, supportability, and long-term fit. Develop reusable architecture blueprints for common capabilities such as intake, workflow, approvals, knowledge management, customer/partner 360, data integration, reporting, content management, learning, surveys, and collaboration. Help define where OpenAI-native GPT or agent-built solutions should replace or enable point SaaS tools. Create clear decision records and architecture artifacts that are understandable by business leaders, engineers, security reviewers, and procurement partners. Drive software catalog maturity by connecting tool inventory, business owner, system owner, integration path, data classification, access model, renewal, risk posture, and support model. Core Architecture Domains SaaS governance and software catalog maturity Enterprise integration architecture, including APIs, event flows, middleware, and system-of-record boundaries Identity, access, and admin model design across internal and external users Data architecture for SaaS, customer, supplier, employee, partner, product, consumption, and connected business models. Agentic workflow architecture and GPT-built replacement patterns Vendor architecture reviews and enterprise agreement leverage across strategic platforms. Security, compliance, ITGC, audit evidence, and operational readiness Support model design, ownership, SLAs, escalation paths, and lifecycle management What You'll Bring 10+ years of experience in enterprise architecture, business systems architecture, IT architecture, SaaS governance, integration architecture, or a related technical leadership role. Strong understanding of SaaS operating models, software lifecycle management, software asset management, and vendor/platform governance. Experience designing integrations across systems, experience in large scale SaaS such as CRM, ERP and Marketplace platforms. Practical knowledge of identity and access patterns including SSO, OIDC, SAML, SCIM, RBAC/ABAC, privileged admin models, service accounts, OAuth apps, and token governance. Ability to evaluate software from multiple angles: business value, architecture fit, security posture, data exposure, cost, supportability, user experience, and vendor strategy. Comfort operating in ambiguity, building structure where little exists, and influencing senior stakeholders without relying only on formal authority. Ability to write clear architecture decision records, governance standards, system diagrams, business cases, and executive-ready recommendations. Strong partner orientation: able to help teams move faster while raising the quality of decisions. Curiosity about AI-native enterprise architecture and where GPT, Codex, and agentic workflows can replace or enable traditional SaaS patterns. Preferred Experience Experience scaling IT or business systems from startup-stage tooling into mature enterprise architecture. Experience with software rationalization, SaaS enablement and deprecation, vendor consolidation, or enterprise license optimization. Experience with architecting systems in a high-growth environment. Experience building governance for internally developed tools, low-code/no-code platforms, agents, or employee-built automation. Experience working closely with Security, GRC, Legal, Procurement, and Finance on cross-functional risk and control programs. 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: Compute Infrastructure builds the platform that turns enormous amounts of compute into a reliable engine for frontier AI. We design, provision, schedule, operate, and optimize the systems that connect accelerators, CPUs, networks, storage, data centers, orchestration software, agent infrastructure, developer tools, and observability into one coherent experience for researchers and product teams. Our work spans the entire stack: capacity planning and cluster lifecycle, bare-metal automation, distributed systems, Kubernetes and scheduling, deep system optimization, high-performance networking, storage, fleet health, reliability, workload profiling, benchmarking, and the developer experience that lets teams use enormous compute systems with confidence. At this scale, small improvements to communication, scheduling, hardware efficiency, or debugging workflows can compound into meaningful research velocity. We are hiring across Compute Infrastructure rather than for a single narrow team, and we use this opening to match strong engineers to the problems where they can have the most leverage. About the Role We are looking for engineers who want to build the compute platform behind OpenAI's research and products. You may not be the strongest in low-level systems, high-performance computing, distributed infrastructure, reliability, CaaS, agent infrastructure, developer platforms, tooling, or the user experience around infrastructure. What matters is that you can reason carefully about complex systems, write durable software, and raise the quality and velocity of the people around you. Depending on your background and interests, you might work close to hardware, close to users, on CaaS and agent infrastructure, or on the control planes and data planes in between. You could help bring new supercomputing capacity online, optimize training workloads from profiler traces and benchmarks, improve NCCL and collective communication behavior, reason about GPUs, NICs, topology, firmware, thermals, and failure modes, or design abstractions that make heterogeneous clusters feel like one coherent platform. We do not expect every candidate to have worked at every layer. Some engineers will go deep on systems performance, kernel or runtime behavior, large-scale networking protocols, RDMA, NCCL, GPU hardware behavior, benchmarking, scheduling, or hardware reliability; others will make the platform more usable through APIs, tools, workflows, and developer experience. The common thread is strong engineering judgment and excitement about making enormous compute systems faster, more reliable, and easier to use. This is a general opening for Compute Infrastructure. We will consider candidates for teams across Compute Infrastructure and match you based on your strengths, the problems that motivate you, and where the infrastructure needs are highest. Where you might work Compute Foundations: Build the low-level platform primitives that make heterogeneous hardware, providers, and data centers repeatable, automatable, and operable at scale. Fleet / Orchestration: Turn raw capacity into reliable, efficient clusters and scheduling systems that researchers and product teams can use with minimal friction and great experience. Core Network Engineering: Build and operate the high-performance networking fabrics, protocols, and observability needed for the largest training and serving workloads. Hardware Health and Observability: Detect, diagnose, remediate, and prevent hardware and fleet-health issues so usable compute stays high across providers and accelerator generations. Storage: Build scalable, performant, durable storage abstractions that keep data movement and storage access from becoming a bottleneck to research or products. Agent Infrastructure: Build sandboxed execution infrastructure for agentic workloads across research and production, with strong isolation, reliability, and scale. In this role, you will: Build and deeply optimize reliable system software for large-scale compute systems that run some of the world's most demanding AI workloads Design and operate infrastructure across accelerators, CPUs, NICs, switches, networking protocols, storage, data centers, cluster orchestration, scheduling, and fleet health Profile, benchmark, and optimize training workloads across compute, memory, storage, networking, NCCL and collective communication, and cluster scheduling bottlenecks Create hardware-aware automation that makes provisioning, firmware and driver upgrades, incident response, and day-to-day operations faster and less error-prone Build CaaS, agent infrastructure, profiling, observability, benchmarking, and platform tools that help researchers, product engineers, and operators launch, debug, and optimize workloads with less friction Turn operational lessons into better systems, stronger abstractions, and clearer ownership boundaries across teams Collaborate across research, engineering, security, networking, hardware, and data center teams to make compute capacity more capable and easier to use You might thrive in this role if you: Have built or operated distributed systems, infrastructure platforms, high-performance computing environments, large-scale networking systems, Kubernetes clusters, developer tools, or production systems with demanding reliability requirements Enjoy working across layers of the stack and are comfortable moving between software, hardware, networking, systems performance, reliability, and user needs Care about making complex infrastructure understandable, observable, and usable for the people depending on it Can diagnose hard problems under real operational pressure while still investing in long-term engineering quality Like building leverage for others, whether through APIs, automation, debugging tools, CaaS and agent infrastructure primitives, workflow improvements, or better platform abstractions Are motivated by scale, efficiency, reliability, and disciplined measurement through benchmarks, profiles, and production evidence Communicate clearly, take ownership, and work well with teams whose constraints and goals differ from your own Qualifications Strong software engineering skills and experience building, operating, or improving production infrastructure systems Experience in one or more relevant areas such as distributed systems, operating systems, networking protocols, RDMA, NCCL or collective communication, storage, Kubernetes, scheduling, observability, reliability engineering, high-performance computing, GPU infrastructure, CaaS, agent infrastructure, hardware-aware performance optimization, benchmarking, developer experience, or infrastructure tooling Ability to debug complex system behavior across software, hardware, networking, and workload layers, then turn findings into robust improvements Comfort with ambiguity, strong ownership, and a bias toward practical, durable solutions Interest in working on infrastructure that directly enables frontier AI research and product impact 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 Legal team plays a crucial role in advancing our mission by tackling innovative and fundamental legal issues in AI. The team includes professionals from diverse legal fields—technology, AI, infrastructure, privacy, IP, corporate, employment, tax, regulatory, and litigation—who collaborate closely with colleagues across the company. If you are passionate about being a technology lawyer working on cutting-edge challenges, you’ll thrive here. About the Role We’re seeking a senior lawyer to participate in commercial legal strategy and execution across OpenAI’s fast-growing infrastructure portfolio. This is a cross-functional role that will partner closely with procurement, supply chain, partnerships, finance, and product teams to structure, negotiate, and manage the transactions that will support OpenAI’s long-term infrastructure ambitions. We’re looking for an experienced infrastructure transactions lawyer who thrives in ambiguity and wants to help define the commercial playbook for infrastructure efforts in the AI era. This role reports to the Associate General Counsel for infrastructure. This role is based in San Francisco, CA. We use a hybrid work model of 3-days in the office per week and offer relocation assistance to new employees. In this role, you will: Own commercial legal strategy and risk management for OpenAI infrastructure transactions. Draft, negotiate, and advise on complex agreements with infrastructure suppliers, manufacturers, distributors, and technology partners. Support strategic partnerships involving AI infrastructure and hardware supply chains. Develop frameworks for procurement, licensing, and collaboration across the infrastructure ecosystem. Partner with finance and operations teams to align contract terms with business and compliance requirements. Collaborate with policy and regulatory colleagues on issues impacting global supply chains, export controls, and manufacturing. Build scalable, efficient contracting processes that support OpenAI’s infrastructure development at speed while managing risk. You might thrive in this role if you: Have 8+ years of legal experience, with substantial focus on technology transactions and commercial contracting. Have a JD and license or qualification to practice in CA. A mix of in-house and top-tier law firm experience. Expertise negotiating agreements in the infrastructure domain. Familiarity with global supply chains, infrastructure projects for both buying and building, and manufacturing transactions. Demonstrated ability to operate with autonomy and sound judgment in highly technical and fast-moving environments. Exceptional communication skills, with an ability to distill complexity into actionable, business-aligned guidance. Experience advising on cross-border deals and global regulatory frameworks. Prior experience with infrastructure, supply agreements, joint ventures, or other complex commercial deals in hardware industries is a strong plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our AI Product Counsel team, you will advise the teams building and deploying OpenAI’s business products, including ChatGPT Business, ChatGPT Enterprise, and our API platform. You will partner closely with Product, Engineering, Safety, Security, Privacy, Strategy, Go-to-Market, and other Legal teams on issues spanning enterprise product development, model launches, customer data protections, administrative controls, strategic partnerships, and the responsible deployment of increasingly capable AI models. This is a unique opportunity to help shape how frontier AI products are built and delivered to businesses. This role is based in San Francisco, CA. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Serve as a strategic legal partner to teams developing ChatGPT’s business products, enterprise features, and API offerings. Advise on product design and launches involving enterprise administration, data governance, identity and access, connectors and integrations, agentic capabilities, and voice and multimodal experiences in the B2B space. Counsel teams on deploying frontier AI capabilities responsibly while balancing customer commitments, safety, security, and privacy. Support strategic partnerships and distribution arrangements, including cloud platforms, resellers, and other third-party channels through which customers access OpenAI models. Partner with Commercial Legal, Privacy, Security, Safety, Product and Product Policy, and Go-to-Market teams on customer-facing commitments, product terms, launch readiness, and legal and regulatory requirements. Identify emerging legal and policy issues across OpenAI’s B2B products and help shape cross-functional strategies for addressing them. You might thrive in this role if you: Have 8+ years of experience with a mix of in-house or technology-focused law firm roles. Have a JD and license or qualification to practice in CA. Understand the letter of the law and can approach problems in a practical, principled approach. Build cross-functional relationships and communication styles that resonate with teams to balance risk-taking with responsible development. Have a strong sense of ownership, are inquisitive and enthusiastic about technology, enjoy being continually challenged, and can demonstrate sound judgment in ambiguous situations. 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 Applied AI Engineering team is responsible for ensuring the safe and effective deployment of generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our API customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll work with industry-leading technology companies like Stripe, Uber, and Reddit to bring new AI capabilities into the products their customers use every day. You’ll partner directly with experienced product and engineering teams to turn frontier model capabilities into new features and agentic experiences. The work combines rapid experimentation with the demands of established products: complex systems, real users, and high expectations for quality and performance. Lessons from these deployments inform OpenAI’s product and research teams. About the role You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact – not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in our São Paulo, Brazil office. 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: Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Forge relationships with CTOs, AI Product and engineering leaders to ensure their application’s successful deployment at scale. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Build targeted prototypes, pilots, and model evaluations with customer teams to test product ideas, guide architecture decisions, and inform their product roadmaps. Collaborate with our Product and Research teams in validating upcoming frontier AI capabilities in customer environments, and deliver high-signal feedback to steer OpenAI’s roadmap. Scale the Applied AI Engineer function through sharing knowledge and publishing best-practices to our internal and external repositories. Evaluate emerging model capabilities, developer tools, and implementation patterns, and translate relevant advances into practical recommendations for customer applications. Work alongside customer teams through on-site workshops and implementation sessions, helping resolve technical challenges and strengthen relationships. This includes occasional travel. You’ll thrive in this role if you: Bring 8+ years of deep, hands-on technical experience and an eagerness to work closely with customers. Our team consists of former startup founders, software and ML engineers, technical product managers and solution architects. Have a track record of personally leading complex, production-scale AI/ML systems from ambiguous discovery through production deployment, adoption, and measurable business impact. Are passionate about being on the forefront of the latest AI industry trends, incl. agent architecture patterns, advanced prompt and context engineering, evaluation frameworks, safety, and security. Are proficient in Python, JavaScript, TypeScript, or similar languages and are comfortable building production-quality prototypes and reference implementations. Demonstrate strong technical judgment: know when to go deep personally, when to mobilize specialists, and how to make clear recommendations with incomplete information. Have a humble attitude and an eagerness to help others with empathy. Operate with high horsepower, are adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize. Thrive in dynamic environments and can navigate ambiguity with ease. 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. Our Talent team is looking for an experienced and discerning technical recruiter to help build Linear’s next generation of engineering talent. This is a hands-on, high-impact role for someone who sees recruiting as a craft. Your primary focus will be growing our engineering team in North America. You’ll work closely with engineering leadership and our existing recruiters across product, infrastructure, AI, mobile, and emerging technical roles. You’ll own the full search, from mapping talent markets and activating networks through assessment, work trial support, and close. Linear engineers tend to combine technical depth with product judgment, craftsmanship, and significant ownership. Finding them requires more than matching resumes to requirements. We’re looking for someone who can recognize these qualities, reach candidates with precision, and continually sharpen their judgment through close partnership with our team. All recruiters at Linear are generalists and may support other functions as company priorities evolve, but engineering will be the primary focus of this role. 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 American (Eastern time zone), with a strong preference for the New York City area. Being in New York enables closer partnership with our growing local team, candidate events, and optional in-person support during work trials. 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 Partner directly with engineering leaders to understand their teams, develop hiring strategies, and own searches across product, infrastructure, AI, mobile, and other technical areas Build consistent, high-quality pipeline through talent mapping, direct sourcing, referrals, and long-term relationship development Identify engineers with strong technical foundations, product judgment, craftsmanship, and evidence of operating with significant ownership Conduct in-depth recruiter assessments covering technical fluency, ownership, product sensibility, motivations, and alignment with Linear’s working environment Maintain momentum through transparent communication, fast feedback loops, and clear ownership at every stage Use funnel data, candidate feedback, and hiring outcomes to improve sourcing strategies and pre–work trial calibration Maintain accurate, useful data in Ashby and ensure hiring partners have clear visibility into pipeline health, risks, and next steps Contribute to how our small Talent team works, while remaining adaptable enough to support other functions as company needs evolve What we’re looking for 5+ years of full-cycle technical recruiting experience, including hiring senior engineers at high-growth startups or product-led technology companies Exceptional sourcing ability, with evidence of turning research, networks, referrals, and thoughtful outreach into qualified candidate relationships Strong judgment about technical talent, product orientation, ownership, and the environments in which candidates are likely to perform best The ability to build credibility with highly sought-after engineers and represent Linear’s opportunity with clarity and candor A record of developing trusted, direct relationships with demanding hiring managers and technical leaders Strong interviewing skills and the ability to distinguish polished interview performance from meaningful evidence of impact Clear, persuasive written and verbal communication High operating discipline, including thoughtful prioritization, reliable follow-through, accurate data, and fast feedback loops Comfort working without heavy process on a small, distributed, high-performing team Familiarity with Linear or other products and companies defined by exceptional software craftsmanship A commitment to candidate experience, including the ability to deliver direct feedback and navigate complex or competitive closing conversations Adaptable generalist who can quickly learn and support hiring across other functions (e.g., go-to-market) as company needs evolve 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 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 Designer Fund: How we use AI in design 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. A note on recruitment fraud: all official Linear hiring communication comes from an @ linear.app email address, and all open roles are listed at linear.app/careers . We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app .