Engineering Manager, Sensitive Deployments

Details

About the Team

The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths.

About the Role

We are hiring a Senior Engineering Leader for Integrity's engineering efforts for Sensitive Deployments where model capabilities, customer requirements, deployment environments, privacy considerations, and misuse risks raise the operating bar significantly. These include hyperscaler and government deployments and other high-stakes environments, regulated and high-trust enterprise settings, zero data retention and privacy-constrained deployments. The workloads are increasingly agentic where harm can emerge across a sequence of actions rather than a single prompt.

The Sensitive Deployments Engineering Manager will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments.

We're looking for a hands-on engineering leader to guide a team of senior engineers working on OpenAI's most critical deployments. They will lead both the people and technical execution of the team: hiring and developing engineers, setting a high technical bar, and driving ambiguous, high-priority initiatives from early problem definition to durable production outcomes. They will partner closely with Product, Research, Security, Global Affairs, Sales, Solutions, and customer technical teams, while going deep on architecture, infrastructure, and model behavior when needed.

Responsibilities

• Lead and grow a team of engineers responsible for complex, high-impact deployments of OpenAI technology in sensitive environments.
• Own end-to-end delivery outcomes across prototype, pilot, production launch, and ongoing operation.
• Partner directly with senior customer stakeholders, technical teams, and implementation partners to scope work, sequence delivery, and remove blockers.
• Set and maintain a high bar for architecture, code quality, testing, observability, reliability, security, and operational readiness.
• Translate field learnings into reusable tools, playbooks, reference architectures, product requirements, and roadmap feedback.
• Help the team make crisp tradeoffs between speed, quality, security, safety, and customer-specific needs.
• Serve as a technical escalation point for deployments where ambiguity, urgency, or mission sensitivity is high.
• Coach engineers on technical judgment, customer communication, prioritization, and operating calmly under pressure.
• Build team mechanisms that let the group scale without adding unnecessary process or complexity.

Requirements

• 10+ years of engineering or technical delivery experience, including 4+ years managing high-performing engineers.
• Experience leading customer-facing, forward-deployed, platform, infrastructure, security, or applied AI teams through ambiguous production deployments.
• Experience working with government, defense, intelligence, public sector, critical infrastructure, or similarly sensitive/regulated customers.
• Ability to credibly engage senior executives, mission owners, security stakeholders, and deeply technical individual contributors.
• Strong technical depth across full-stack software, cloud infrastructure, APIs, data systems, security, and production operations.
• Comfortable reviewing or writing production-grade code in Python, JavaScript/TypeScript, or similar languages.
• Understanding of deployment models involving Azure, AWS, Kubernetes, Terraform, identity, access controls, encryption, monitoring, and compliance requirements.
• Ability to turn one-off customer work into reusable systems, platform capabilities, and durable team practices.
• Ability to simplify complex work, make fast and sound decisions under pressure, and communicate tradeoffs clearly.
• Personal commitment to the safe and beneficial deployment of AI.

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.

OpenAI is an equal opportunity employer and does 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. Background checks for applicants will be administered in accordance with applicable law. The posting references specific fair chance ordinances and the requirement that some duties require access to secure and protected information technology systems.

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, plus paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends.

(Compensation note: base pay may vary depending on market location, knowledge, skills, and experience; total compensation also includes equity and potential performance-related bonuses.)