OpenAI

• Lead the development and execution of India B2B marketing strategy, aligned with global priorities and India GTM objectives. • Drive full-funnel B2B marketing programs across field marketing, content, customer marketing, events, executive engagement, and partner marketing. • Partner closely with India GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth. • Translate global B2B narratives and launches into India-relevant, market-specific execution across enterprise, startup, developer, and partner motions. • Establish strong India marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting. • Act as the India voice for B2B marketing, bringing market insight, customer perspective, trust signals, and local nuance into global strategy discussions. • Build and scale foundational B2B marketing capabilities in India, with an eye toward future team growth and specialization.

• Manage a small number of key Oil & Gas accounts, developing and executing comprehensive account strategies. • Build trusted relationships with senior executives and business leaders across technology, operations, engineering, data, supply chain, safety, and other functions. • Lead enterprise prospects’ journeys from initial consideration and use-case identification through successful deployment and expansion. • Help customers identify and prioritize high-value applications of AI across upstream, midstream, downstream, and corporate functions. • Partner with solutions and research engineering to build and execute complex customer programs and projects. • Navigate complex enterprise environments involving legacy systems, operational technology, security requirements, data governance, regulatory considerations, and global stakeholders. • Own a consumption revenue target. • Manage consumption revenue forecasts. • Analyze key account metrics to create reports and provide insights to internal and external stakeholders. • Closely monitor the Oil & Gas industry landscape, including customers, competitors, partners, technologies, and emerging AI use cases, to contribute to product roadmap and other corporate strategies. • Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. • Support the recruitment and onboarding of other teammates. • Support the development of company culture.

• Coordinate engineering execution across civil, electrical, mechanical, utility, and construction disciplines. • Develop integrated engineering execution plans supporting self-build campus delivery. • Coordinate utility providers, permitting agencies, consultants, contractors, and EPC partners throughout project execution. • Lead engineering coordination for temporary power, permanent power, water systems, and supporting site infrastructure. • Support project budgeting, engineering schedules, risk management, and technical planning. • Coordinate engineering changes and resolve multidisciplinary design conflicts during construction. • Optimize construction sequencing and engineering workflows to improve project delivery. • Support infrastructure readiness activities leading into commissioning and operational handoff. • Track engineering risks, action items, and technical decisions while communicating project status to leadership. • Serve as the primary engineering interface between OpenAI technical leadership and external delivery partners. • Drive continuous improvement across engineering coordination, construction execution, and project delivery methodologies. • Support optimization of water usage, construction sequencing, and overall infrastructure efficiency across the self-build portfolio.

• Lead civil engineering strategy across Industrial Compute's self-build infrastructure portfolio. • Partner with engineering consultants and EPC firms to develop civil and structural designs for hyperscale AI campuses. • Drive continuous improvement of site design standards to reduce construction schedule, cost, and execution risk. • Optimize grading, earthwork, drainage, foundations, utility routing, and constructability across multiple campuses. • Develop structural standards supporting high floor loading, vibration control, durability, and long-term serviceability for AI infrastructure. • Establish modular and prefabricated civil engineering approaches that improve repeatability and deployment speed. • Coordinate closely with Mechanical, Electrical, Power Generation, Cooling, and Infrastructure Delivery teams throughout design and construction. • Review engineering calculations, drawings, specifications, and consultant deliverables for technical quality and consistency. • Support geotechnical investigations, constructability reviews, value engineering, and design optimization initiatives. • Evaluate emerging construction methodologies and engineering technologies that improve speed, scalability, and reliability. • Support engineering throughout construction, commissioning, and operational handoff. • Help establish global civil engineering standards for future Industrial Compute campuses.

• Initiating and scaling strategic partnerships in India that drive user growth, distribution, and adoption for OpenAI’s consumer and B2B offerings. • Establishing and managing long-term strategic partners in India, serving as the primary relationship owner and strategic lead. • Identifying and executing market-specific growth opportunities such as bundled offerings, embedded distribution, platform integrations, and co-developed product experiences. • Shaping joint product strategy with partners by aligning roadmaps, defining shared priorities, and unlocking new use cases tailored to regional needs. • Structuring, negotiating, and managing complex partnership agreements from inception through launch and scale, ensuring commercial and strategic alignment. • Creating and operating governance models with partners through regular strategic reviews, executive syncs, and performance check-ins. • Defining success metrics and tracking impact across growth, adoption, engagement, and partner performance, communicating results to senior leadership.

Title: Forward Deployed Security Engineer Location: Washington, DC Hybrid Job Description: About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries. As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations. This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role. In this role, you will: - Deeply embed with our most strategic public sector customers to implement and maintain robust security controls. - Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security. - Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals. - Ensure continuity of critical security and monitoring controls through routine security assessments, threat monitoring, and security validation exercises. You might thrive in this role if you have: - An active US security clearance. - 5+ years of security engineering experience, with an emphasis on infrastructure security, application security, network security, datacenter security, and systems engineering. - Familiarity with deployment models, including to cloud platforms (Azure, AWS) and the underlying infrastructure primitives (Kubernetes, Terraform) - Proficiency in programming languages such as Python, Golang, or similar. - A proven track record of developing high-quality, scalable, and secure infrastructure. - Experience with security operations including insider threat monitoring, network/endpoint detection and response, or red team or penetration testing operations. - Comprehensive knowledge of modern adversary tactics, techniques, and procedures. - The ability to work collaboratively and effectively in a cross-functional team environment. - Thrive in dynamic environments and can navigate ambiguity with ease. Compensation - $293K – $385K • Offers Equity The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits. - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law) - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided. More details about our benefits are available to candidates during the hiring process. This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

• Administer compensation plans, quotas, credits, adjustments, exceptions, and payout processes. • Design and maintain scalable processes that ensure accurate and efficient compensation administration. • Implement and maintain compensation policies, ensuring that all program rules are consistently applied across GTM teams. • Manage field support triaging for compensation-related inquiries, streamlining communication between GTM personnel and back-office teams. • Execute recurring compensation payout cycles, reconciliations, and operational close processes. • Execute compensation letter generation, distribution, tracking, and record management. • Partner with Legal, HR, and Finance to support governance, approvals, compliance, and audit requirements. • Develop reporting, dashboards, and quality assurance processes to improve visibility and accuracy. • Serve as a key point of contact for compensation-related field questions and inquiries. • Build and maintain support resources, FAQs, documentation, and intake processes. • Partner with Enablement and Sales Leadership to improve understanding, adoption, and trust in compensation programs.

• Develop and lead OpenAI’s brand partnership strategy, identifying the people, organizations, platforms, and cultural opportunities that can strengthen the brand and advance its mission. • Build a pipeline of high-impact partnerships that help OpenAI participate meaningfully in culture, reach priority audiences, and demonstrate the positive role AI can play in people’s lives. • Evaluate partnership opportunities based on audience relevance, values alignment, cultural credibility, creative potential, and long-term brand impact. • Serve as the primary marketing lead for key partners, building trusted relationships and guiding programs from initial opportunity through strategy, negotiation, development, and execution. • Shape the strategic and creative vision for partnerships, developing distinctive programs, campaigns, content, events, experiences, and activations that feel authentic to both OpenAI and its partners. • Work closely with Partnerships, Brand, Creative, Communications, Global Affairs, Research, Legal, and regional teams to identify opportunities and bring partnership programs to life. • Help define the role OpenAI should play across culture, including entertainment, sports, design, education, science, the arts, and other areas relevant to the audiences we want to reach. • Identify and cultivate relationships with influential individuals and institutions whose credibility, expertise, or cultural relevance can help bring OpenAI’s values and impact to life. • Develop clear partnership narratives and value propositions that articulate why OpenAI and a prospective partner should work together and what each party uniquely contributes. • Protect OpenAI’s brand integrity by establishing clear principles for partner selection, creative development, and execution. • Create scalable frameworks for identifying, evaluating, prioritizing, and managing partnership opportunities across markets and cultural categories. • Define success measures for brand partnerships, using audience, brand, cultural, and engagement signals to assess impact and inform future investment. • Translate cultural trends, audience insights, and program performance into recommendations that continuously improve OpenAI’s partnership strategy.

Role Description We are looking for software engineers first: strong full-stack or product-minded generalists who can own ambiguous product and platform problems end to end. Security experience is helpful, and security curiosity is important, but this is not a role for security specialists who only occasionally write code. The right person is an excellent builder who is excited to work in security and can turn complex research, product, and customer needs into reliable systems. You will work across user-facing product surfaces, developer workflows, backend services, security analysis pipelines, cloud infrastructure, and internal tooling. You may build features that make Codex Security more useful for application security teams, systems that scale cloud-based security analysis, platform controls that make agentic coding safer, or infrastructure that helps security researchers and models become more effective. You will collaborate closely with engineering, product, security research, infrastructure, and customer-facing partners as Codex Cyber becomes a major product and platform investment for OpenAI. In this role, you will: - Build end-to-end product features for Codex Security, from developer-facing interfaces to APIs, backend services, and workflow tooling. - Own ambiguous 0-to-1 projects across product pods, platform security controls, customer deployment workflows, and cyber model infrastructure. - Translate security research and model capabilities into intuitive workflows that help teams find, validate, prioritize, and remediate vulnerabilities with high signal. - Design scalable, observable systems for long-running analyses across large codebases and enterprise environments. - Partner with product, security research, infrastructure, and customer-facing teams to iterate quickly from real-world feedback. - Help shape the technical direction and architecture of Codex Cyber as the team and product surface area grow. Qualifications - Are an excellent software engineer with strong fundamentals and enough range to work across product, backend, infrastructure, and developer tooling. - Enjoy building high-quality product and platform experiences across the full stack. - Are high-agency, low-drama, and comfortable owning features from concept to production in a fast-moving environment. - Have built developer tools, workflow-heavy platforms, security products, internal infrastructure, or product features for technical users. - Have strong product instincts and care about making complex technical systems understandable and useful. - Are excited by security and AI. Direct experience in product security, application security, vulnerability research, defensive security, identity, SSO, or secure developer workflows is a plus, not a requirement. - Like ambiguous 0-to-1 work and can turn messy requirements into crisp, scalable systems. Goals & Impact - Build AI-native security products that help users find and fix important vulnerabilities in real software systems before attackers do. - Increase the usefulness and trustworthiness of Codex Security by turning research insights into dependable workflows, product surfaces, platform controls, and remediation tooling. - Help define a new category of security tooling where models reason over real code, validate exploitability, and propose fixes directly in developer workflows. Key Technical Challenges - Combining model outputs, security analysis, and user workflows into one cohesive product experience. - Designing high-confidence validation and remediation flows that distinguish real issues from noisy or speculative findings. - Scaling product and platform infrastructure for large repositories, complex enterprise environments, and long-running analyses. - Creating developer-friendly interfaces and APIs that make advanced security capabilities understandable and actionable. - Building platform controls and internal systems that help Codex Cyber move quickly while meeting OpenAI's bar for safety, security, and reliability.

Title: Model Designer Location: San Francisco Department: Applied AI Job Description: About the Team The Core Models team shapes how our models interact with people. We view the model as the product itself, aiming for intuitive experiences that exceed user expectations and feel like magic. About the Role As a Model Designer, you’ll have an outsized impact on how our models interact and resonate with users. You’ll strike a delicate balance between maximizing the model’s capabilities, reading in between the lines in user queries to understand how best to help, and upholding user trust. We’re looking for people who are passionate about the intersection of design, technology, and user experience — and are up for the challenge of defining new human-AI interaction paradigms. 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’ll join a small team in evolving and expanding the model design function. You will: - Collaborate closely with researchers to understand, predict, and design model behavior. - Partner with product managers and designers across the company to ensure a cohesive voice and approach. - Proactively identify ways to improve our models based on product sense, user feedback, quantitative insights, and the research roadmap. - Come up with creative strategies for collecting high-quality data. - Do whatever needs to be done to make our models better. You might thrive in this role if you: - Possess exceptional taste, creativity, and writing skills, allowing you to craft responses that delight users. - Don’t mind ambiguity — you’re happy to throw yourself into a new, unfamiliar environment, build relationships, define a problem, and make progress. - Love experimentation, and are willing to test and reject new ideas when the results don’t pan out. - Exhibit high levels of empathy and self-awareness required to serve everyone in the world. - Enjoy tackling profound and often philosophical questions while always driving towards clarity. - Demonstrate technical intuition to learn how changes in data can affect overall model behavior. 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.