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About the Team The Artifacts team is building the AI-native creation layer for documents, spreadsheets, slide decks, dashboards, reports, analyses, and new forms of interactive work products. We are rethinking what creation looks like when models can move from an ambiguous user goal to a polished, editable artifact with strong structure, taste, correctness, and speed. This is a high-agency team working across product, infrastructure, and research. We partner closely with model training teams to shape how frontier models create artifacts, and with ChatGPT product teams to turn those capabilities into experiences that millions of people can use. The work spans full-stack product engineering, model integration, rendering and editing systems, collaboration, storage, evaluation loops, and production reliability. Our ambition is to build the premier product experience for AI-generated artifacts: starting with familiar work products like slides, sheets, and docs, then expanding into new artifact types that are only possible in an AI-native world. About the Role As Engineering Manager, Artifacts, you will lead and grow the engineering team responsible for building this product and technical foundation. You will manage a team of full-stack and infrastructure-oriented engineers, set technical direction, and stay hands-on enough to shape architecture and debug hard problems. This role sits at the intersection of product engineering, research, and infrastructure. You will partner with researchers on how models are trained and evaluated for artifact creation, with product and design on the user experience. This is a strong fit for a technical manager who wants to build and ship, not only coordinate. The team has a fast trajectory, so you will help define both the product surface and the team that builds it. In this role, you will: Lead, manage, and grow a team building AI-native artifact creation experiences across documents, spreadsheets, slide decks, and emerging artifact formats. Set technical direction across full-stack product systems, generation orchestration, editing and rendering surfaces, storage, reliability, and model integration. Responsible for hands-on architecture, code review, debugging, system design, and critical product decisions. Partner closely with research teams to translate model capabilities, training needs, evals, and behavioral insights into shipped product improvements. Work with product, design, infrastructure, and safety partners to define what excellent artifact creation should feel like for users. Create the engineering plan for the next phase of the team, including hiring, execution milestones, technical investments, and operating cadence. Balance near-term product velocity with long-term platform quality, reliability, extensibility, and developer productivity. Debug complex failures across model behavior, product surfaces, infrastructure, latency, and user-facing quality. Help expand the team’s scope from familiar artifact types into new forms of AI-native work products. You might thrive in this role if you: Have experience leading engineering teams while remaining technically close to the work. Have strong full-stack product engineering fundamentals and can reason across frontend, backend, infrastructure, and model-facing systems. Are excited by AI-native creation tools and have opinions about what makes documents, slides, spreadsheets, dashboards, and interactive artifacts genuinely useful. Can operate in ambiguous, fast-moving environments where the product, model capability, and technical architecture are all evolving at once. Have experience partnering with research, ML, product, design, infrastructure, or data teams. Care about craft, quality, latency, reliability, and user experience, not just whether a system technically works. Have strong judgment about when to build product-specific systems versus reusable platform foundations. Learn quickly, communicate clearly, and bring enough technical depth to raise the bar for the team. Desire to help define and own a new category of AI-native work. 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 API Multicloud team is responsible for extending OpenAI’s API platform into strategic cloud environments, starting with AWS . The team’s mission is to distribute OpenAI’s API broadly and safely by enabling key API technologies in AWS-native environments, in close partnership with Amazon and internal teams across Codex, Research, Safety Systems, and Applied. The team is focused on bringing core developer and enterprise capabilities into cloud-native environments, including AWS-hosted Codex, model customization / post-training as a service, and new stateful runtime environments for agentic workloads. This work sits at the intersection of production ML systems, developer platforms, model behavior, and large-scale infrastructure. About the Role We’re hiring Machine Learning Engineers to build and improve the AI systems that help strategic partners adapt OpenAI models to important use cases in cloud-native environments. This role spans post-training workflows, evaluation, data pipelines, model behavior, and API/infrastructure integration. You’ll work at the boundary between partner needs and core ML systems: helping teams understand what is and isn’t working, diagnosing issues in training and evaluation workflows, and turning those learnings into improvements to the underlying platform. You should enjoy working with external technical partners, extracting the real goal from messy requests, and pushing back or reframing when the requested experiment is not the highest-leverage path. You’ll collaborate closely with Research, Applied, Safety Systems, infrastructure teams, and external technical partners to solve ambiguous model-performance problems. When you succeed, strategic partners and internal teams will be able to improve model behavior with confidence, driving measurable product improvements while the systems behind that work become more reliable, scalable, and effective over time. In this role, you will Partner with strategic customers and internal teams to define target model behaviors, diagnose failure modes, and translate real-world needs into training, evaluation, and system requirements. Build and scale production ML systems for model customization, post-training, and fine-tuning-as-a-service workflows. Design, run, and interpret experiments to see whether training and customization workflows are producing the intended outcomes, and identify changes to data, evaluation, training, or infrastructure that improve performance. Partner with backend and infrastructure engineers to integrate ML capabilities into AWS-native API environments. Feed learnings from partner deployments back into the platform by proposing and implementing improvements to post-training systems, tooling, APIs, and developer workflows. Work closely with Research and Applied teams to bring model improvements, training workflows, and evaluation best practices into production. Help design systems that allow strategic partners and enterprise customers to safely customize OpenAI models for high-value use cases. Debug and improve complex systems spanning model behavior, training data, APIs, distributed infrastructure, and customer-facing product surfaces. Operate with high ownership in a 0→1 environment where requirements are ambiguous, systems are evolving quickly, and reliability matters. Your background might look something like: Master’s or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience. 3+ years of professional engineering experience in relevant ML, infrastructure, or product-driven engineering roles. Strong ML engineering experience building, training, fine-tuning, evaluating, or deploying production AI systems, with hands-on experience in deep learning, transformer models, and frameworks like PyTorch or TensorFlow. Hands-on experience with training and fine-tuning large language models, including methods like supervised fine-tuning, distillation, preference optimization, reinforcement learning, or other post-training techniques. Strong software engineering fundamentals, including data structures, algorithms, systems design, and high-quality production code in Python, Rust, or similar languages. Experience with model customization, evaluation systems, data pipelines, distributed systems, cloud infrastructure, or production ML platform tradeoffs. Ability to operate across model behavior, APIs, and infrastructure, while collaborating closely with Research, Safety, product engineering, infrastructure, and external technical partners. Comfort moving quickly through ambiguity, owning problems end-to-end, and learning whatever is needed to get the job done. 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 world's most advanced AI infrastructure ecosystem. Working alongside leading cloud providers, engineering firms, construction partners, utilities, and equipment manufacturers, we are delivering hyperscale AI campuses that enable the next generation of frontier AI models. The Strategic Sourcing team develops and executes the commercial strategies that ensure our infrastructure programs have reliable access to the equipment, materials, and strategic partners needed to deliver at unprecedented scale. We partner closely with Infrastructure Delivery, Capacity Planning, Design Engineering, Hardware Operations, Finance, Legal, and our external suppliers to build a resilient global supply network capable of supporting Industrial Compute's long-term growth. As we continue expanding globally, strategic sourcing becomes a critical competitive advantage, ensuring our infrastructure programs remain cost-effective, resilient, and capable of executing against aggressive deployment timelines. About the Role We are seeking a Strategic Sourcing Manager, Data Center Infrastructure to lead sourcing strategy for the critical infrastructure systems that power Industrial Compute campuses. This role will develop commercial strategies, negotiate strategic supplier agreements, and manage relationships across engineering, construction, manufacturing, and infrastructure partners responsible for delivering mission-critical facilities. You will work closely with Infrastructure Delivery, Capacity Planning, Engineering, Finance, Construction, and external suppliers to ensure Industrial Compute has the capacity, supplier relationships, and commercial frameworks required to support rapid global expansion. The ideal candidate has experience sourcing major infrastructure systems for hyperscale data centers, mission-critical facilities, industrial construction, semiconductor manufacturing, energy infrastructure, or similarly complex capital projects. Key Responsibilities Develop long-term sourcing strategies for data center infrastructure systems supporting Industrial Compute. Lead strategic supplier selection, RFx processes, commercial negotiations, and contract execution for major infrastructure programs. Build and maintain executive relationships with key suppliers, manufacturers, EPC firms, integrators, and infrastructure vendors. Partner with Infrastructure Delivery and Engineering to align sourcing strategies with project schedules, technical requirements, and deployment priorities. Collaborate with Capacity Planning to ensure supplier capacity aligns with long-term infrastructure roadmaps. Evaluate supplier capabilities across manufacturing capacity, execution quality, financial health, delivery performance, and operational maturity. Identify and mitigate supply chain risks through supplier diversification, long-term agreements, alternative sourcing strategies, and capacity reservations. Monitor global market conditions, manufacturing trends, commodity impacts, geopolitical risks, and supplier ecosystems that may affect infrastructure delivery. Develop supplier scorecards and performance metrics across quality, cost, schedule, responsiveness, safety, and execution. Support executive sourcing decisions through financial analysis, market intelligence, scenario planning, and supplier benchmarking. Partner with Legal and Finance to structure scalable commercial agreements that support Industrial Compute's long-term infrastructure strategy. Qualifications Bachelor's degree in Supply Chain, Engineering, Construction Management, Business, Operations, Finance, or a related field. 8+ years of experience in strategic sourcing, procurement, supplier management, or infrastructure supply chain management. Experience sourcing major infrastructure systems, industrial equipment, mission-critical facilities, or large capital projects. Proven experience negotiating complex commercial agreements with strategic suppliers. Strong understanding of supplier qualification, contract strategy, supplier performance management, and sourcing governance. Experience partnering with engineering, construction, finance, legal, and operations organizations. Excellent analytical, financial modeling, negotiation, and executive communication skills. Preferred Skills Experience sourcing one or more of the following infrastructure systems: HV to MV Substation and Transformer Equipment Medium voltage electrical distribution equipment & MV to LV transformers Low voltage electrical distribution equipment (switchgear, busway, UPS) Power system protection, control & monitoring products Prefabricated electrical skids and e-houses Modular data center infrastructure Additionally, we'd value: Experience supporting hyperscale cloud, AI infrastructure, semiconductor, energy, or advanced manufacturing programs. Familiarity with long-lead equipment planning and supplier capacity management. Experience working with global supplier networks across North America, Europe, and Asia. Experience working with EPC, design-build, or integrated project delivery partners 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 Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Sydney. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. Simplify complexity and make fast, sound decisions under pressure. Communicate clearly with engineers, product teams, and customer stakeholders. Spot risks early and adjust without slowing down. Model calm and judgment when the stakes are high. 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 GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI’s mission. We work closely across Product, Research, Sales, Legal, Communications, and regional leadership to ensure a cohesive strategy and disciplined execution with our most strategic partners. About the Role We are hiring a Partner Director, Global McKinsey Alliance to lead and scale OpenAI’s relationship with McKinsey & Company. This role will serve as the single accountable executive owner of the alliance globally. You will define the partnership strategy and operating model, translating executive alignment into scaled commercial and transformation outcomes across regions and industries. You will work closely with McKinsey’s global leadership, industry and functional practices, and technology organizations—including QuantumBlack, AI by McKinsey—to develop differentiated enterprise AI offerings, pursue complex transformation opportunities, and help customers move from strategy to production deployment and measurable value. The role carries responsibility for the health, performance, and long-term expansion of the partnership. Success requires senior executive presence, sound judgment, commercial discipline, technical fluency, and the ability to operate effectively across a complex, partner-led organization. In this role, you will: Own the global McKinsey relationship, including alliance strategy, pipeline growth, enterprise impact, deployment scale, and long-term expansion across priority industries. Define and run the partnership’s operating model across executive governance, joint planning, regional execution, opportunity management, resource allocation, and escalation. Serve as OpenAI’s senior executive counterpart to McKinsey’s global leadership and relevant industry, functional, technology, and regional leaders. Develop a differentiated alliance strategy that combines McKinsey’s strategy, industry expertise, transformation capabilities, and executive relationships with OpenAI’s research, models, products, and technical expertise. Build a deep working relationship with QuantumBlack and other McKinsey technology and AI teams to develop repeatable solutions and move customer programs from strategy and experimentation into production. Set joint priorities, establish clear ownership, resolve escalations, and coordinate execution across global and regional teams. Shape and lead the co-selling of complex, CxO- and board-level enterprise AI transformation opportunities. Engage directly with enterprise executives alongside McKinsey leaders to frame AI strategy, operating models, use-case portfolios, governance, adoption plans, organizational change, and value realization. Identify priority industries, transformation plays, and lighthouse accounts where the partnership can create differentiated and repeatable customer value. Coordinate OpenAI stakeholders across Product, Research, Sales, Solutions Architecture, Technical Success, Legal, Finance, Communications, and Operations to support strategic pursuits and deployments. Establish clear rules of engagement and guardrails for intellectual property, solution quality, safety, delivery, commercial ownership, and customer accountability. Build McKinsey’s capability to position, design, and deliver solutions powered by OpenAI through executive alignment, technical enablement, solution patterns, readiness programs, and disciplined delivery handoffs. Develop joint assets and offerings that can scale beyond individual engagements while maintaining the rigor required for highly strategic customers. Allocate OpenAI resources based on strategic value, revenue potential, customer impact, repeatability, delivery readiness, and partner performance. Build and lead a dedicated alliance pod over time, spanning partner management, technical leadership, enablement, and operations. Establish durable reporting, metrics, and operating cadences covering pipeline, conversion, production adoption, customer outcomes, partner readiness, delivery quality, and return on OpenAI investment. You might thrive in this role if you have: Partner, Senior Partner, Managing Director, or equivalent senior leadership experience at McKinsey, another leading strategy firm, or a top-tier technology or transformation organization. A strong combination of technology fluency and commercial leadership across business development, enterprise transformation, industry advisory, GTM, or strategic alliances. Proven ownership of a global, multi-year strategic partnership with executive accountability and measurable commercial and customer outcomes. Demonstrated success shaping and closing high-stakes, board-level transformation opportunities and moving them from strategy through production deployment. Experience designing and scaling operating models between senior, partner-led organizations, including governance, incentives, account planning, staffing, delivery handoffs, and escalation. Credibility with senior leaders in strategy consulting and enterprise technology, with a practical understanding of partnership economics, regional structures, and decision-making networks. Strong executive presence and the judgment to make tradeoffs, resolve conflict, and maintain momentum under ambiguity and scrutiny. The ability to influence Product, Research, Sales, Technical, Legal, Finance, Communications, and partner organizations without relying on direct authority. Deep literacy in enterprise AI, data, cloud, security, governance, and organizational transformation, with credibility among CEOs, CIOs, CTOs, CDOs, and other senior executives. Experience working with data science, AI engineering, or advanced analytics organizations such as QuantumBlack or comparable groups. Industry expertise in at least one priority vertical, such as financial services, healthcare, pharmaceuticals and life sciences, retail and consumer, technology, industrials, or energy. Experience building repeatable solutions or transformation plays from high-value strategic engagements. A disciplined approach to portfolio management, including deciding when to invest, scale, redirect, or decline an opportunity. Preferably, experience with private-equity value creation, portfolio transformation, capability building, or large-scale operating-model change. What success looks like: OpenAI and McKinsey have a clear alliance thesis, differentiated value proposition, executive governance model, and measurable joint plan. The partnership generates qualified, strategically aligned pipeline and converts priority opportunities into production deployments with demonstrable customer value. McKinsey teams can confidently identify, position, design, and support enterprise transformations powered by OpenAI. The relationship with QuantumBlack and other McKinsey technology teams produces strong technical collaboration, repeatable solution patterns, and disciplined paths from prototype to production. OpenAI resources are allocated transparently and concentrated on opportunities with the greatest strategic, commercial, customer, and repeatable impact. Joint assets and transformation approaches move beyond bespoke engagements into reusable, industry-relevant offerings. OpenAI’s field understands when and how to engage McKinsey, and McKinsey teams understand OpenAI’s standards, guardrails, resources, and escalation paths. The alliance demonstrates sustained executive sponsorship, high-quality delivery, partner accountability, production adoption, and year-over-year growth. 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 Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-To-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class Forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing scalable forecasting infrastructure to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy - supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance Data Science, responsible for building and scaling robust, interpretable, and production-ready forecasting systems. Your models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, LTV, compute consumption, and profitability. This is a highly cross-functional role, requiring technical excellence, strong product intuition, and business acumen. You’ll collaborate with product managers, researchers, engineers, and finance leaders to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains. Own the end-to-end modeling lifecycle , including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability. Contribute to self-service forecasting tools and internal platforms , enabling teams across OpenAI to access and act on real-time predictions. Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches. Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks. Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making. You might thrive in this role if you have: Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems. Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability. Proficiency in Python , SQL , and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries. Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders. Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1. Bonus if you have: Experience building or scaling forecasting platforms in a high-growth company. Familiarity with causal inference, Bayesian forecasting Passion for AI and a strong point of view on how machine learning should inform strategic decisions in fast-moving environments. #LI-NM2 About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact. You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and customer success planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re a builder who loves helping customers solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role. This role will be based in Dublin. 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: Drive workflow adoption and value realization for a book of named accounts, ensuring customers expand their use of Notion and as a result, Notion sees high NRR Partner closely with the Solutions Consultant on account strategy for expansion and renewal, including owning the renewal opportunity for flat and at-risk customers Shape customer outcomes, strengthen executive and team-level partnerships, and contribute directly to predictable revenue through retention, renewal, and expansion impact Design and deploy workflows that solve specific business problems as a build-beside partner to the customer, translating goals into durable systems in Notion Partner with Solutions Consultants on account strategy, customer planning, and identifying and qualifying expansion opportunities within existing accounts Co-define, build, and manage against customer success plans that help every customer achieve their desired objectives and realize measurable value Learn Notion’s product and the broader AI ecosystem inside and out so you can be the best build-beside partner for customers navigating new ways of working Innovate and iterate on Outcomes Architect programs that retain and grow customers while mitigating churn or contraction risk Skills You'll Need to Bring: Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans Technical fluency and genuine comfort building live in software—you can co-design, configure, and troubleshoot with customers in the room Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems You’re obsessed with AI, constantly building with the newest tools and learning new ways of working Fluency in English and a second European language Nice to Haves: Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path Familiarity with usage-based or consumption-based models and the ability to connect adoption patterns to commercial outcomes Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale 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. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €89,000 - €100,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We work across Partnerships, GTM, Product, Compute, and Operations to allocate and deploy resources to the highest-impact opportunities while protecting sustainable unit economics. The B2B Strategic Finance team focuses on the financial performance of our B2B products and GTM functions, ensuring tight alignment between financial objectives and company strategy. We: Drive operational planning, financial forecasting, and performance management for our B2B business, Provide analytically-grounded insights on B2B product and financial performance to inform strategic resource allocation, Build the “0→1” financial foundations required to scale and accelerate growth. Within B2B, Partnerships are a critical lever to accelerate growth. You will help shape this business and drive successful outcomes from it. About the Role This Strategic Finance Partnerships hire will own our B2B Partnerships P&L and help drive strategic decision-making. You will be a critical finance partner to our Partnership teams, deal leads, Product owners, and Operations teams, responsible for pricing, structuring and driving success from partnerships, translating opportunities into decision- and exec-ready economics, and managing the overall Partnerships book of business. You will shape how OpenAI approaches Partnerships revenue targets, unit economics, investments, measurement, and prioritization. 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: Help manage the overall Partnerships business at a strategic priority, top-line impact, and resourcing / investment level. Own the financial evaluation of new B2B partnerships, modeling revenue, contribution margin, compute costs, cash flow, investment needs, and risk. Drive measurable outcomes from priority existing partnerships - especially distribution partnerships - through targets, operating plans, leading indicators, and recurring reviews. Develop deal structures and guardrails across pricing, revenue share, funding, commitments, and downside protections to align incentives and protect unit economics. Partner with Partnerships, GTM, Product, and Operations to define incrementality, channel attribution, and success metrics, and turn performance gaps into action. Integrate partnership economics into forecasts, planning, and resource allocation, while building scalable models, reporting, and governance. Deliver high-quality executive and Board-facing presentations to communicate performance and strategic recommendations that influence key business stakeholders. Stay current on market dynamics to shape OpenAI’s B2B Partnerships strategy. You might thrive in this role if you have: 8+ years of experience in investment banking, consulting, or buy-side investing and operational experience at a fast-paced, scaling company. A strong ability to critically evaluate opportunities and risks in financials. Expert modeling skills, including building detailed P&Ls and operating models. The ability to distill complex financial data into actionable insights and effectively influence leadership. Excellent communication skills and the ability to craft compelling narratives using data. A partnership mentality to working cross-functionally with key business partners and driving mutual success. Attention to detail and a commitment to accuracy in financial reporting, budgeting, and analysis. Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes. Familiarity with SaaS and/or consumption-driven business models and metrics relevant to OpenAI. An enthusiastic "roll up your sleeves" mentality and ability to deal effectively with ambiguity in a fast-paced environment. Deep enthusiasm for the deployment of AI and OpenAI’s mission. 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! Server Platform is at the core of Figma's infrastructure foundation! This area owns the foundational layer of infrastructure that underpins all other infrastructure and application services at Figma. The Foundation team under Server Platform is Infrastructure's infrastructure. This team enables the efficient operation and rapid development of reliable infrastructure at Figma through opinionated platforms. We are building the V2 of Infrastructure and setting key initiatives that will set the tone for infrastructure for the next half decade. We're looking for thoughtful and technical leaders with experience focused on designing the next generation edge and network to handle our growing customer traffic and services. 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: Design, build and operate scalable distributed systems and services that power Figma's innovative tools for design and collaboration Develop and secure our internal and edge network running on AWS Help design and deploy an internal service mesh network which can support Figma's growing portfolio of services and features Develop intelligent detection and auto-scaling countermeasures for DDoS threats Debug and resolve production issues across services and multiple layers of the stack, reducing mean time to resolution for critical incidents We’d love to hear from you if you have: 4+ years of experience building infrastructure components and services at scale in a cloud environment Experience with programming languages like TypeScript or Go Experience building and scaling distributed and traffic systems as an individual contributor and/or Team Lead Proven track record of building, scaling, and shipping high-quality products in high growth environments Experience communicating cross-functionally and working with teams handling network and traffic systems at scale for millions of customers While it’s not required, it’s an added plus if you also have: Deep knowledge of DDoS attack mechanisms and mitigation solutions on AWS or Cloud environments Significant background securing network infrastructure Traffic analytics using VPC Flow Logs, Lambda, and other data sources Experience with TCP, HTTP, DNS, and SSL protocols Experience with network proxies like Envoy and Haproxy 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: $153,000 — $376,000 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 .
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! The Mobile Product team supports Figma’s powerful companion apps for iOS and Android. We are looking for new team members who value collaboration, usability, and excellence to maintain and build new features that span web and native code. You’ll work closely with your engineering peers to chart out upcoming work and how best to execute on it. You’ll brainstorm with cross-functional partners (design, product, research, data science) to deliver delightful mobile experiences to Figma’s users. We also work with product teams across Figma to identify the most impactful features to bring to mobile and continuously invest in the quality of our mobile apps to make them a joy to use for designers (and everyone else!). 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: Work with PMs, designers, and native engineers to bring Figma’s most popular features to iPhone and Android Build, refine, and maintain the web user interfaces and backend endpoints that are embedded in Figma’s mobile apps Guide the evolution of new web-first features into powerful mobile-friendly experiences Participate in user research and testing to better understand our customers Share responsibility for testing, releasing, and maintaining our mobile apps Communicate and document architectural designs and requirements Provide thoughtful feedback to others on the team Participate in on-call and release shepherd duties for our native apps We'd love to hear from you if you have: 4+ years of professional experience building fullstack web-based mobile experiences 2+ years of professional experience building native Android or iOS mobile applications A strong understanding of mobile product development practices and web product development practices Proactive communication skills and a desire to work in a collaborative environment with iOS, Android, and web engineers A pragmatic approach to software development that delivers real user value through maintainable, performant code A strong product sense and desire to deeply understand users Enthusiasm for mentoring other engineers and helping shape engineering culture While it's not required, it's an added plus if you also have: Excitement to grow into new technology stacks Experience influencing development practices across an engineering organization Comfort with doing first draft UI designs in code that use established mobile UI/UX patterns 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: $153,000 — $376,000 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 .