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About the Team The Applied team brings OpenAI’s technology to the world through products used by hundreds of millions of people and by developers and businesses building on our APIs. We work across research, engineering, product, policy, safety, and operations to deploy frontier AI systems responsibly and safely. The Trust & Safety Data Engineering team builds the data foundations that help OpenAI understand, detect, investigate, and mitigate abuse and safety risks across our products. We partner with Integrity, Investigations, Safety Systems, Product Policy, Privacy, Data Science, Engineering, and Data Platform to create reliable, privacy-safe datasets and pipelines for fraud and abuse detection, enforcement workflows, safety measurement, ML feature generation, launch readiness, and transparency reporting. About the Role We are hiring a Technical Lead Manager to lead and grow the Trust & Safety Data Engineering team. This is a hands-on leadership role for someone who can set strategy, shape data architecture, align senior stakeholders, coach engineers, and drive execution on high-impact data systems. You will help turn fragmented launch and incident support into durable, reusable, privacy-safe data foundations that Trust & Safety teams can rely on. The systems your team builds will help OpenAI detect risk, investigate abuse, power operational workflows, develop and evaluate safety models, measure interventions, support product launches, and report accurately on platform integrity. In This Role, You Will Lead and grow a high-performing Trust & Safety Data Engineering team. Define the roadmap and technical strategy for Trust & Safety data systems. Build canonical, privacy-safe datasets and pipelines for abuse detection, fraud detection, risk signals, enforcement, scaled review, transparency reporting, and safety monitoring. Create reusable foundations for Trust & Safety model development, including features, labels, training data, backtesting, evaluation, and production inputs. Establish ownership, documentation, data quality standards, monitoring, and operational rigor for critical datasets and workflows. Reduce dependence on sensitive raw logs by building structured alternatives with appropriate access controls, retention, deletion semantics, and governance. Partner with Trust & Safety, Product, Policy, Privacy, Data Science, Engineering, and Data Platform on launch readiness, operational systems, and safety measurement. Raise the bar for technical judgment, prioritization, communication, and execution in a fast-moving environment. You Might Thrive in This Role If You Have 15+ years of experience in data engineering and have led data engineering teams that build and operate production data systems at scale. Experience in trust and safety, integrity, abuse prevention, fraud, investigations, risk operations, safety systems, privacy, or adjacent domains. Are deeply technical and comfortable with data architecture, modeling, pipelines, reliability, privacy, and operational tradeoffs. Have experience with large-scale data systems such as Spark, Airflow or similar orchestration systems, distributed storage, batch/streaming pipelines, and modern warehouse patterns. Think of data as a product: reliable, documented, governed, observable, discoverable, and designed for repeated use. Can create clarity in ambiguous problem spaces and make principled tradeoffs quickly. Have a strong track record partnering with senior stakeholders across engineering, data science, operations, policy, privacy, product, or executive teams. Have hired, developed, and retained senior engineers. Are motivated by building systems that make frontier AI products safer and more trustworthy. Nice to Have Experience supporting ML systems through feature engineering, training data, labels, model evaluation, or production model pipelines. Experience with launch readiness, monitoring, alerting, incident response, semantic layers, metrics governance, or executive-facing reporting. Workplace & Location This role is based in our San Francisco HQ. We offer relocation assistance to new employees. Please note: this role may involve work related to sensitive or concerning safety, abuse, fraud, or user-risk domains. Strong discretion, judgment, and resilience are essential. 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 Notion Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays. About the role As the Global Strategic Partner Manager, you’ll lead Notion’s highest-impact strategic partnerships and turn them into repeatable growth motions. You’ll own partner strategy and executive-level execution, working closely with cross-functional teams and regional partner leaders. This is a director-level individual contributor role for someone who can build executive trust, bring structure to ambiguous opportunities, and translate partner strategy into measurable pipeline and revenue outcomes. What you’ll do Own strategic partner strategy and operating cadence for a portfolio of priority partners across cloud, infrastructure, and LLM providers Lead global planning and execution with key partners (e.g., co-sell, Marketplace, field alignment, partner marketing, executive engagement) Build and scale repeatable plays that regional teams can localize and execute Align internal stakeholders across Sales, Marketing, Product, Enablement, RevOps, and Partner Strategy & Ops Track outcomes and improve programs based on pipeline, revenue, and adoption signals How success will be measured Partner-sourced and partner-influenced pipeline and opportunities created Joint Go To Market (GTM) and Demand Generation activities Field engagement (e.g., account mapping, Account Executive-to-Account Executive alignment) and partner program activation Who you’ll work with Partner Strategy & Operations and RevOps to define operating cadence, reporting, and attribution Sales and Sales Development leadership to align on target accounts, co-sell motion, and field engagement Product Ecosystem, Marketing, and Enablement to build partner narratives, demand generation programs, and talk tracks Regional partner and GTM leaders to localize plays and drive execution in-market What we’re looking for 12+ years in strategic partnerships / alliances / BD / ecosystem roles in enterprise SaaS, cloud, or AI/data Experience building and operating executive-level partnerships and global GTM motions Strong understanding of enterprise sales processes and partner GTM models (co-sell, marketplace, referral, etc.) Ability to operate across strategy and execution, and influence cross-functional teams without direct authority Excellent communication, stakeholder management, and operational rigor Additional requirements Comfort with ambiguity and a bias toward action; you can create a plan where a playbook doesn’t exist yet Willingness to travel domestically and internationally as needed for partner and internal alignment Experience working cross-functionally with Sales, Marketing, Product, and Operations teams Nice to have Experience with hyperscaler partnerships (AWS, Microsoft Azure, Google Cloud) and marketplace programs Experience building “better together” narratives and enabling sales teams on partner plays International experience supporting regional GTM teams Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated range for total on target earnings (including base salary and on target incentive pay) for this role is $265,000 - $325,000 per year. #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 Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We’re looking for an experienced systems software engineer to help define and build the host software stack for our custom next-generation AI systems. You will work close to the hardware on performance-critical software, including Linux kernel drivers, high-throughput I/O paths, and system-scale networking and RDMA. This role spans architecture, implementation, platform bring-up, debugging, and performance optimization. You will work across hardware and software boundaries to make new systems usable end to end, from low-level device interfaces through userspace tooling and production validation. In this role you will: Design, implement, and debug host-side systems software for AI infrastructure, including Linux kernel drivers and supporting userspace components. Build and optimize software paths for high-throughput, low-latency communication, including RDMA and related networking functionality. Develop software around PCIe, DMA, NICs, accelerators, memory movement, and device interaction. Bring up new hardware platforms and diagnose complex issues across kernel, firmware, networking, and hardware boundaries. Build tooling for integration, testing, diagnostics, observability, qualification, and performance characterization. Collaborate with hardware, networking, and platform teams to define interfaces and integrate new capabilities. Work with external vendors where needed to integrate technologies and drive issues to resolution. Contribute across the systems software stack as the platform and team evolve. Help shape the technical direction and engineering practices for a growing systems software stack. You might thrive in this role if you have: Experience building low-level or performance-critical systems software. Strong programming skills in C or C++, with proficiency using Python and Linux tooling for automation and debugging. Strong Linux systems fundamentals and the ability to debug across hardware and software boundaries. Hands-on experience in at least one relevant area, such as Linux kernel drivers, kernel networking, RDMA, PCIe, DMA, NIC software, accelerator software, or high-performance I/O. Experience owning complex software projects from design through implementation, bring-up, and validation. Ability to thrive in ambiguity, work across subsystem boundaries, and build systems from scratch. Strong cross-functional communication skills. Preferred Qualifications Experience developing Linux kernel drivers or other OS-level performance-critical components. Familiarity with RDMA or RoCE, ibverbs, kernel networking, or congestion-control concepts such as ECN and DCQCN. Experience with PCIe, DMA, peer-to-peer communication, SR-IOV, IOMMU, dma-buf, or related accelerator and I/O subsystems. Experience bringing up accelerators, NICs, SoCs, or custom hardware platforms. Experience profiling and optimizing high-throughput, low-latency systems. Familiarity with Rust or experience using Rust for systems programming. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Identity Infrastructure Engineering team sits at the core of this effort, designing and building the identity and access management solutions that protect our model weights, customer data, and critical systems across multiple cloud environments. We partner with teams across OpenAI—Applied Engineering, Research, IT, and Security—to provide a secure and scalable platform for permissioning, orchestration, and innovative AI research. About the Role We’re looking for a Staff+ Software Engineer to help build and evolve the identity infrastructure that supports OpenAI’s research, engineering, and internal platforms. This role sits at the intersection of cloud infrastructure, identity systems, and software engineering. You’ll work across production systems, infrastructure-as-code, cloud control planes, identity providers, and operational infrastructure to build secure, scalable, and reliable systems used broadly across the company. The ideal candidate has experience building and operating large-scale, mission-critical systems with strong reliability and security requirements, and is comfortable writing production code, designing distributed systems, and driving ambiguous projects from 0 to 1 while building the operational rigor needed to run critical infrastructure over time. In this role, you will: Lead the architecture, development, and operation of identity infrastructure that spans cloud platforms, internal systems, and critical engineering services. Design and evolve systems for authentication, authorization, access governance, auditability, and policy enforcement with a strong focus on reliability, scalability, and secure-by-default design. Build foundational infrastructure and platform capabilities that are broadly used across engineering, research, and security teams. Improve the reliability, observability, performance, and operational maturity of identity infrastructure that supports mission-critical systems and workflows. Lead ambiguous, high-impact technical initiatives across security, infrastructure, and engineering teams, driving alignment and execution across multiple stakeholders. Partner closely with engineers, researchers, and security teams to build scalable access patterns and infrastructure that enable rapid development while maintaining strong security boundaries and operational rigor. Raise the engineering bar through strong technical judgment, thoughtful system design, operational excellence, and long-term ownership of critical infrastructure. You might thrive in this role if you have: 10+ years building and operating large-scale infrastructure, platform, or backend systems. Deep experience with cloud infrastructure, identity systems, distributed systems, and infrastructure-as-code. Experience leading complex technical initiatives across teams and driving architecture in ambiguous environments. Experience building security-critical systems involving authentication, authorization, access governance, privileged access, or policy enforcement. Strong software engineering fundamentals with experience in Go, Rust, Python, or similar languages. Ability to debug across code, cloud infrastructure, identity systems, networking, and operations. High bar for reliability, security, auditability, and operational rigor in mission-critical systems. 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. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospects. Partner with Account Directors on account strategy while owning the technical account plan, technical milestones, adoption priorities, and expansion opportunities. Lead discovery with executives and technical teams to identify, qualify, and prioritize use cases tied to meaningful business outcomes. Develop clear Applied AI Architectures spanning models, applications, data, integration, security, privacy, governance, evaluation, and deployment. Guide customers through technical evaluations, demonstrations, workshops, prototypes, and proofs of value, securing confidence in both the solution and its path to production. Maintain a focused use-case portfolio with clear decision criteria, ownership, blockers, success measures, delivery needs, and adoption plans. Develop trusted relationships and technical champions across CTOs, CIOs, CISOs, AI leaders, engineering teams, and other customer stakeholders. Qualify and coordinate support from Deployment Engineering, implementation, training and enablement, product and domain specialists, partners, and other delivery teams. Remain accountable for technical progress and customer outcomes while ensuring delivery teams own implementation execution once engaged. Track adoption, usage, account health, production readiness, and measurable customer impact, intervening early when risks threaten value realization. Apply industry or digital-native expertise to recognize repeatable patterns, sharpen customer priorities, and identify relevant expansion opportunities. Share customer insights with Product, Engineering, and Research, translating field learnings into better products, architecture guidance, and reusable practices. You might thrive in this role if you: Have significant experience in customer-facing technical roles such as solutions architecture, solutions engineering, technical account leadership, AI deployment, or technical customer success. Have guided enterprise organizations from technical evaluation through production adoption and measurable business impact. Build credibility with senior technical and business leaders while communicating equally well with hands-on engineers. Bring strong software and cloud architecture foundations, including APIs, distributed systems, data integration, identity, security, and privacy. Understand modern AI systems, frontier LLM models, agentic applications, model evaluation, retrieval, or enterprise AI workflows. Can prototype, explain technical tradeoffs, and work confidently with APIs, SDKs, and languages such as Python or JavaScript. Exercise sound judgment about when to go deep personally, when to involve specialists, and how to define clear handoffs and ownership. Have experience developing technical account plans, prioritizing complex customer portfolios, and connecting adoption to measurable outcomes. Bring meaningful expertise in a relevant industry or strong fluency with the needs of digital-native businesses. Communicate clearly and can turn ambiguity into a practical technical narrative, executive decision, or action plan. Work collaboratively across disciplines and care deeply about helping organizations deploy advanced AI responsibly. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role We’re looking for an experienced Software Engineer to help build the machine learning infrastructure that powers OpenAI’s monetization and ads systems. In this foundational role, you’ll design and develop the platform layer that enables teams to build, train, deploy, serve, monitor, and continuously improve machine learning models used across advertising and monetization products. You’ll work across the full ML lifecycle, from large-scale data pipelines and feature infrastructure to training systems, model serving, experimentation platforms, and monitoring frameworks. The systems you build will support high-throughput, low-latency advertising workloads while maintaining strict standards for reliability, privacy, security, and performance. This role sits at the intersection of machine learning systems, distributed infrastructure, and monetization, offering the opportunity to shape the core platforms that help translate model innovation into measurable business impact. In this role, you will: Design and build the ML infrastructure that powers OpenAI’s monetization and ads systems. Develop large-scale data pipelines that process impressions, clicks, conversions, advertiser data, marketplace signals, and other inputs used to train and improve machine learning models. Create scalable model training platforms that support ranking, conversion prediction, quality prediction, bidding, targeting, measurement, and optimization workloads. Develop systems that safely and reliably move models from experimentation into production environments. Build and improve real-time inference and serving infrastructure with strict requirements for latency, throughput, reliability, and availability. Design experimentation frameworks that enable A/B testing, holdouts, model comparisons, ramping strategies, and measurement at scale. Improve platform performance through optimization of training efficiency, inference latency, model throughput, infrastructure reliability, and cost effectiveness. Collaborate closely with machine learning engineers, product engineers, data scientists, and monetization teams to accelerate the development and deployment of advertising systems. You might thrive in this role if you: Have 7+ years of professional software engineering experience building large-scale distributed systems or machine learning infrastructure. Have experience building platforms that support machine learning workflows, including data processing, feature engineering, model training, deployment, or serving. Have worked with high-volume data pipelines and infrastructure handling large-scale online systems. Have experience designing reliable, low-latency systems with strong operational and observability practices. Are comfortable working across the ML lifecycle, from data and training systems through deployment, experimentation, and monitoring. Have experience improving infrastructure performance, scalability, efficiency, and reliability in production environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the Ads Solutions team partners closely with advertisers, agencies, and strategic partners to help businesses unlock value through AI-powered advertising solutions while maintaining strong standards for user trust, platform integrity, and responsible innovation. As OpenAI’s advertising business continues to scale globally, the APAC Ads Solutions team plays a critical role in driving revenue growth, building strategic advertiser relationships, and shaping the future of advertising products across some of the world's most dynamic markets. About the Role We are seeking a Regional Manager, Ads Solutions (APAC) to lead and scale OpenAI’s advertising business across Asia-Pacific. Based in Singapore, you will oversee a distributed team of Client Partners and Customer Success Managers supporting advertisers across the region. Our ads products are currently live in Australia and New Zealand with launches in Japan and South Korea scheduled for June. Expansion into other APAC markets will continue on an ongoing basis and this leader will play a key role in shaping that strategy and execution. This is a highly strategic leadership role responsible for driving regional revenue growth, building and developing high-performing teams, and establishing OpenAI as a trusted partner to advertisers throughout APAC. You will own regional commercial performance while partnering closely with Product, Engineering, Marketing, Operations, and Policy teams to ensure customer feedback influences product development and market strategy. The ideal candidate combines strong people leadership, commercial acumen, operational rigor, and a passion for building businesses in fast-moving environments. You are equally comfortable coaching teams, engaging with senior executives, navigating complex market dynamics, and helping shape the long-term strategy for OpenAI’s Ads business. This role is based in our Singapore office . We use a hybrid work model of 3 days in the office per week and offer relocation assistance to eligible candidates. In this role you will: Lead, coach, and develop a team of Client Partners and Customer Success Managers across APAC, fostering a high-performance and customer-centric culture. Own regional revenue goals and business performance across multiple markets, ensuring consistent execution against growth targets. Develop and execute the APAC commercial strategy, identifying opportunities to accelerate advertiser adoption, retention, and expansion. Partner with sales and customer success leaders to optimize customer engagement throughout the entire advertiser lifecycle. Build and maintain executive-level relationships with key advertisers, agencies, and strategic partners across the region. Drive forecasting, pipeline management, territory planning, and business reviews to ensure operational excellence and predictable growth. Serve as the voice of the APAC market, bringing advertiser insights and customer feedback to Product, Engineering, and leadership teams. Collaborate cross-functionally to support product launches, market expansion initiatives, and strategic customer opportunities. Establish scalable processes, playbooks, and best practices that enable growth across diverse markets and customer segments. Recruit, onboard, and retain top talent while building leadership bench strength across the organization. You might thrive in this role if: Have 12+ years of experience in digital advertising, media, technology, or related commercial leadership roles. Have 5+ years of experience leading high-performing sales, account management, customer success, or revenue teams. Have a proven track record of exceeding revenue targets and scaling businesses across multiple international markets. Have experience managing distributed teams across APAC and understand the nuances of operating across diverse cultures and business environments. Are an exceptional people leader who enjoys coaching, developing, and inspiring teams to achieve ambitious goals. Can build strong relationships with C-suite executives, agency leaders, and senior decision-makers. Have strong strategic thinking skills while maintaining a bias toward execution and operational excellence. Are highly data-driven and comfortable using analytics to inform business decisions, prioritize investments, and drive accountability. Thrive in ambiguous, fast-changing environments and enjoy building new businesses, processes, and teams from the ground up. Are passionate about AI and excited by the opportunity to shape how advertisers adopt transformative technologies responsibly at scale. 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 startups. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to late-stage startups. About the Role We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Applied AI Lead. This role is based in our San Francisco or New York offices. 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: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research teams. Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community. You’ll thrive in this role if you: Have 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued. Have passion for startups and a belief in their potential to become future large enterprises. Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices. Built and/or delivered prototypes on top of our API platform. Can proactively identify opportunities for maximizing our customers’ business value through leveraging the OpenAI API. Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About Supabase Supabase is the open-source Postgres development platform that 10M+ developers and thousands of enterprises depend on every day. Database, Auth, Storage, Edge Functions, Realtime and Vector Search all run on one platform: the same compute , the same disks , the same network and control plane, in every region we operate. Supabase's hardest problems live in that platform. Millions of databases, growth that compounds every quarter, and a customer base running from a developer on a free project to a regulated enterprise routing traffic through PrivateLink . Reliability, capacity, cost and the enterprise features that close deals all come back to the same primitives. We're hiring a Product Lead to own them. About the role You own the platform primitives every Supabase product runs on: compute, disks, networking, the API gateway, capacity and regions. You own the enterprise surfaces built on top of them too, including read replicas , custom domains , PrivateLink and Bring Your Own Cloud. You report to the Head of Product and set direction for the whole area alongside the leads for our other product lines. You're the only product person on the platform today, and the team grows under you as the area does. What you'll be responsible for: You talk to customers across the full spectrum. Developers running a single small project, growing startups whose bill is mostly compute and disk, enterprises walking through a network architecture review, and partners building on top of Supabase. You own the problem statement and requirements behind every platform bet. You define what we're building and why before engineering starts, name the cost, capacity and reliability constraints, and keep that clarity current through execution. You decide what gets built, what gets deferred, and what gets cut. Every quarter you're choosing between enterprise unlocks that open new markets, cost and performance wins for the long tail of projects, and net-new capabilities that change what Supabase can run. The priorities are yours, and so is defending them. You own reliability as a product surface. You set service levels that track what customers experience, hold teams to them, and show customers what it takes to run millions of databases. You define how each launch is measured before it ships. The metric, the threshold and the read afterwards are yours: whether a launch moved enterprise deal velocity, project economics, or platform reliability. You keep engineering, design and leadership aligned. The platform touches every other Supabase product, every region and every customer tier. You write down what's coming, why, and in what order, and you surface dependencies before they become blockers. You might be a good fit if you: Have 8+ years of product management experience on developer tools, or are an ex-founder who has built in this space. You're technical enough to read an architecture doc and follow a design discussion. Have shipped cloud infrastructure as a product. You've owned at least one of compute, networking, storage, or multi-region and multi-tenant systems at a cloud, infrastructure or PaaS company, as the owner rather than a neighbouring team. You can judge the tradeoffs: instance sizing and capacity, disk and storage economics, scale-to-zero versus always-on, single-tenant versus shared, and the distance between "works in one region" and "works in twenty." Familiarity with how enterprises buy infrastructure (PrivateLink, BYOC, procurement) is a bonus. Have grown with an infrastructure product. You've owned infrastructure small enough to hold in your head, and stayed with it until capacity, regions and cost became the real constraints. Are biased toward speed. You'd rather ship something imperfect and learn from it. Build with what you own. You stand up a read replica, put a custom domain in front of a project, terminate traffic through PrivateLink, deploy onto BYOC. You develop opinions through first-hand use. Use AI to move faster. You lean on AI for the slow parts of the job (research, drafting, synthesising feedback) so you spend more time on judgment calls. Work async by default. We're fully remote. You make decisions in writing and move work forward without meetings. What We Offer Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. About the Team Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. ~400 team members 60+ countries 20+ languages spoken Over $1B raised (including our $500M Series F) 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.