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OpenAI

Engineering Manager – Sensitive Deployments

OpenAI

Engineering Manager responsible for high-consequence use cases in sensitive AI deployments. Overseeing senior engineers and guiding critical initiatives for OpenAI products in regulated environments.

Posted 6/16/2026full-timeSan Francisco • California • 🇺🇸 United StatesSeniorLead💰 $347,000 - $490,000 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudJavaScriptKubernetesPythonTerraformTypeScript

About the role

Key responsibilities & impact
  • 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

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

Benefits

Comp & perks
  • 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.

ATS Keywords

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Hard Skills & Tools
full-stack softwarecloud infrastructureAPIsdata systemssecurityproduction operationsPythonJavaScriptTypeScriptdeployment models
Soft Skills
technical judgmentcustomer communicationprioritizationoperating calmly under pressuredecision makingtradeoff communicationcoachingleadershipproblem solvingscalability