Manager, Applied AI Engineering (Codex)

Location: Hybrid; open in the San Francisco office with 3 days per week in the office. Relocation assistance is available to new employees.

Salary: $302,000–$335,000 annual base pay, plus equity, performance-related bonuses for eligible employees, and benefits.

Company

OpenAI is an AI research and deployment company developing products intended to ensure that general-purpose artificial intelligence benefits humanity.

What you will do

• Lead, hire, mentor, and develop Applied AI Engineers supporting Codex customers across strategic accounts.
• Own the operating model and technical engagement strategy from initial exploration through scaled Codex adoption.
• Guide the design and implementation of AI-enhanced development workflows, agentic systems, automations, evaluations, and scalable application architectures.
• Serve as the senior technical escalation point for complex customer implementations and engineering challenges.
• Partner with Sales, Product, Research, and Engineering to align customer outcomes with product direction and roadmap priorities.
• Create repeatable technical patterns, playbooks, reference architectures, and feedback loops that improve AI-powered software development.

Requirements

• 8+ years of experience in deeply technical, customer-facing roles such as applied engineering, solutions architecture, deployment engineering, or technical consulting.
• 2+ years of experience leading technical teams, including hiring, mentoring, and developing engineers.
• Experience building or deploying generative AI, developer platforms, agentic systems, or cloud-based software solutions in production.
• Strong hands-on software engineering experience and fluency with Python or JavaScript.
• Understanding of modern software development lifecycles and how AI and coding agents affect software design, development, testing, and maintenance.
• Ability to work directly with customer engineering teams, clarify ambiguous problems, develop technical approaches, and turn ideas into working solutions.
• Strong communication skills for translating complex technical and business topics to engineering teams and executive stakeholders.
• Ability to work in ambiguous, fast-moving environments and build operating models, technical patterns, and teams from first principles.
• Strong ownership, humility, technical judgment, and commitment to safe and beneficial AI development.

Culture & Benefits

• Hybrid work model with three office days per week.
• Medical, dental, vision, HSA, FSA, commuter benefits, 401(k) matching, paid parental and medical leave, and paid time off.
• Paid company holidays, office closures, sick or safe time, and mental health and wellness support.
• Employer-paid life and disability coverage, annual learning and development stipend, office meals, and eligible meal delivery credits.
• Relocation support is available for eligible employees.
• The role is at-will; compensation may change based on individual performance, team or company results, or market conditions.