OpenAI

Full-stack Engineer

• Design, build, implement, and maintain secure, scalable, and performant workforce technology infrastructure, automation workflows, and bespoke tooling that improves the OpenAI employee experience.
• Deliver critical IT efficiencies and automation through both bespoke software development and first-party tooling to enhance technology service delivery.
• Employ modern Infrastructure-as-Code (IaC) methodologies, developing GitOps-driven solutions to manage technology workflows at scale.
• Build and maintain CI/CD pipelines for corporate infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
• Create scalable internal tools and dashboards to optimize workflows and improve visibility into engineering operations.
• Design and manage internal integrations, including Slack bots and workflow automation solutions.
• Support IAM processes by automating access provisioning and lifecycle management for internal applications.
• Collaborate with the IAM team to manage cloud-based identity and access controls, ensuring compliance with security policies and standards for internal applications.
• Collaborate with security teams to align technology automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
• Work cross-functionally to identify areas for corporate technology service improvement and implement self-service solutions.
• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Software Engineer, Internal Applications – Enterprise

Financial Planning and Analysis

• Serve as the primary finance partner to Supply Chain, Operations, Manufacturing, and Procurement, shaping decisions on capacity planning, ramp profiles, and material commitments.
• Build and own integrated financial models that track COGS, inventory, working capital, cash flow, and P&L across the full hardware lifecycle.
• Model and maintain detailed cost drivers, including BOM structure, CapEx, freight and logistics, yield assumptions, manufacturing variances, tariffs and import duties, warranty accruals, and inventory reserves.
• Own inventory and cash-flow forecasting tied to manufacturing execution, including inventory builds, reserves, obsolescence risk, and launch readiness.
• Maintain cost and risk sensitivity frameworks across volume, yield, ramp timing, mix, and cost-down realization to enable clear, decision-ready tradeoffs.
• Translate product roadmaps and supply-chain plans into financially grounded execution plans, clearly quantifying the financial implications of capacity and ramp decisions.
• Own scenario analysis for volume changes, ramp shifts, and supply-chain disruptions, including impacts to margins, inventory exposure, and cash flow.
• Establish clear escalation paths for material cost increases or inventory risk prior to supplier, tooling, or capacity commitment.
• Establish portfolio-level consistency and governance, ensuring standard costs, inventory metrics, and manufacturing economics are accurate and comparable across programs and generations.
• Partner closely with Accounting, Tax, and Corporate Finance to ensure hardware COGS and inventory exposure are reflected correctly in the P&L and balance sheet, supported by clear standard-cost methodologies, reserve frameworks, tariff accounting, and scalable system flows.
• Contribute to the scaling of the hardware COGS and supply-chain finance foundation, improving modeling rigor, governance, and decision support as volumes and complexity grow.

Strategic Finance, COGS & Supply Chain Finance

Security Engineer

• Build and evolve Detection & Response capabilities across OpenAI’s infrastructure, products, and research environments, with an emphasis on high-signal detection and reliable operational response.
• Engineer detection pipelines and tooling: develop rule lifecycle management, measurement/quality loops (coverage, precision, latency), tuning processes, and safe rollout patterns.
• Automate response and investigations by building workflows that reduce toil (triage, enrichment, containment, evidence capture) and improve time-to-understand/time-to-contain.
• Partner with other Security teams and system/infrastructure owners across the company to ensure new systems ship with the right telemetry, threat models, and response playbooks from day one.
• Define D&R requirements and drive visibility across endpoints, identity, SaaS, cloud, Kubernetes: identify telemetry/control gaps, prioritize them, and advocate for fixes with partner teams (and implement directly when it’s the fastest/most effective path).
• Evaluate and respond to emergent security concerns in a frontier AI lab environment, such as detection and response strategies for agents operating across infrastructure at scale.

Security Engineer, Detection and Response

DevOps Engineer

• Collaborate with news organizations around the world - from leading national and global publishers to non-profit, local, and independent newsrooms - to help them implement our technology in a way that benefits their businesses. This work will span newsroom implementations as well as use cases that benefit other parts of their businesses including customer service, internal business operations, marketing, audience development and sales.
• Deeply embed with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our API.
• Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value.
• Experiment and prototype solutions with and for your customers.
• Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale.
• Contribute to our open-source developer and enterprise resources.
• Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.
• Use your expertise in programming with Python and Javascript.

AI Deployment Engineer – Media Partnerships

Performance Marketing

• Designing and executing global paid acquisition campaigns across multiple channels (search, social, influencer, programmatic, emerging formats) to drive high-quality user growth.
• Leading growth experiments and A/B testing - defining hypotheses, setting up measurement frameworks, enhancing conversions, and translating insights into scalable playbooks.
• Partnering with engineering and data science to build, test, and refine growth tooling, creative ops automation, and optimization algorithms.
• Managing full-funnel performance metrics, from reach/engagement to LTV/CAC, and identifying new opportunities for efficiency and scale.
• Developing AI-native workflows that transform how we scale, reach, personalize bringing users from out-of-product experiences to in-product entry points and LTV-optimized user journeys.
• Build AI-first creative systems, collaborating with design to rapidly prototype and test high-performing assets.
• Expanding growth channels and market coverage, with attention to localization and regional performance nuances.
• Driving influencer and creator partnerships as part of the paid and organic growth mix.
• Collaborating with product teams to improve in-product conversion and onboarding flows.
• Developing and refining our attribution models, marketing tech stack, and automation processes to ensure we’re always optimizing for maximum impact.

Growth, Performance Marketing, Growth Optimization

• Deeply embed with our most sophisticated public sector customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.
• Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.
• Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance, often in collaboration with systems integrators and implementation partners.
• Forge and manage relationships with our customers’ and implementation partners’ leadership and stakeholders to ensure the successful deployment and scale of their applications.
• Contribute to our open-source developer and enterprise resources.
• Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.
• Validate, synthesize, and deliver high-signal feedback to the Product, Engineering, and Research teams.

AI Deployment Engineer

• Independently conduct comprehensive security investigations from initial detection to resolution, including cases involving insiders, external actors, and supply chain and third-party risks.
• Lead proactive, data-driven threat-hunting efforts that weave together disparate signals to surface undetected insider or external threats before they escalate into incidents.
• Perform comprehensive technical analysis of complex hardware, software, and supplier supply chains to identify, enumerate, and mitigate risks.
• Partner closely with cross-functional teams, including Human Resources, Legal, Security, and IT, and external stakeholders or law enforcement when necessary.
• Collaborate with technical counterparts to enhance detections, resolve telemetry gaps, and implement new capabilities to identify security issues involving cyber, physical, and human domains.
• Collect, preserve, and analyze evidence from a variety of sources, including log data, digital forensics, subject interviews, access records, threat intelligence, and open-source intelligence (OSINT), to support investigative findings.
• Continuously improve investigative procedures and security controls based on investigations and lessons learned.

Senior Global Security Investigator

Engineer

• 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

Forward Deployed Engineer – SF

Forward Deployed Engineer – NYC

• Embed deeply with strategic customers to understand their business challenges and technical requirements in detail.
• Design, architect, and develop full-stack solutions using an experiment-driven, iterative approach.
• Prepare detailed scopes of work and project plans for both proof-of-concept prototypes and full production deployments.
• Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion on their infrastructure.
• Collaborate with Product, Research and Applied teams to ensure seamless customer experiences, project success and actionable product feedback.
• Contribute to internal knowledge bases, codifying best practices and sharing insights gained from customer engagements to scale the Forward Deployed Engineering function.

Forward Deployed Software Engineer

General Counsel

• Provide legal advice and counsel on a wide range of global litigation and regulatory matters, including commercial disputes, intellectual property litigation, and regulatory investigations and enforcement actions.
• Manage and oversee outside counsel in all aspects of litigation and regulatory matters, including discovery, motion practice, trial preparation, and settlement negotiations.
• Stay current on relevant laws, regulations, and industry trends, and provide updates and legal guidance to company leadership and stakeholders.
• Collaborate with cross-functional teams to gather relevant information, assess risk, and develop legal strategies to resolve disputes.

Senior Counsel, IP Litigation

Research Engineer

• Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale.
• Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees.
• Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams.
• Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions.
• Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring.
• Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling.

Research Engineer, Privacy

• Design, build, implement, and maintain secure, scalable, and performant network infrastructure, automation workflows, and network security solutions.
• Drive critical network and IT automation through software development and first-party tooling to optimize network operations, streamline infrastructure management, and enhance IT service delivery.
• Leverage modern Infrastructure-as-Code (IaC) methodologies and GitOps-driven automation to orchestrate network infrastructure, enforce configuration consistency, and scale IT workflows efficiently.
• Build and maintain CI/CD pipelines for IT infrastructure, deploying to progressively tested environments across multiple clouds (Azure, AWS, GCP).
• Design and implement scalable, network-focused internal tools and dashboards to streamline network operations, optimize network workflows, and provide real-time visibility into network performance.
• Collaborate with security teams to align IT automation initiatives with Zero Trust principles and compliance frameworks.
• Implement role-based access controls (RBAC) and mitigate security risks through automated policies.
• Work cross-functionally to identify areas for IT service improvement and implement self-service solutions.
• Manage multiple projects and initiatives, ensuring efficiency and alignment with business objectives.

Network Security Engineer

Infrastructure Engineer

• Build new features for our IAM platform that seamlessly integrate with evolving cloud services, enabling teams to work efficiently while adhering to security best practices.
• Drive security innovation by designing tools, processes, and architectures that protect data at scale and reinforce a secure development culture across the organization.
• Collaborate cross-functionally with researchers, engineers, and compliance teams to address security requirements for multi-cloud deployments, large-scale model training, and emerging AI use cases.
• Implement and refine access policies that strike the right balance between enabling rapid experimentation and protecting high-value assets, including model weights and customer data.
• Troubleshoot complex identity or access issues across distributed systems, ensuring minimal downtime and a safe environment for AI research and product teams.

Software Engineer, Identity Infrastructure Engineering

• Own the full product development lifecycle for new people products end-to-end
• Talk to internal stakeholders to understand their problems and design solutions to address them
• Work with the research team to share relevant feedback and iterate on applying their latest models
• Collaborate with a cross-functional team of engineers, HRBPs, recruiters, researchers, product managers, designers, and people in operations to create cutting-edge products