Senior Manager, AI Corporate Engineering

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead, mentor, and develop a senior team that encompasses platform engineering and technical program management.

• Oversee the AI access layer, which includes identity and authentication for AI tools, connector and integration allowlisting, tiered permissions, and adoption guidelines.

• Establish AI cost engineering capabilities for tracking attribution, optimizing model sizes, monitoring agent and automation spending, budgeting, and alert notifications.

• Manage the MCP layer for internal tools, which comprises commissioning, decommissioning, governance, and assessing migration impacts.

• Take charge of the paved path for internal applications, incorporating golden-path deployment, private-by-default settings, lifecycle policies, and decisions on build versus buy.

• Create enablement capabilities, including a skills and agent registry, evaluation framework, and technical training on authorized tools.

• Define and uphold the Corporate Engineering charter, including ownership boundaries, intake processes, and roadmaps.

• Organize a cross-functional forum to synchronize departmental AI initiatives.

• Collaborate with Engineering, GRC, Security, Data, Finance, and People teams through coordination and influence.

⛳️ Requirements

• Proven experience establishing an internal AI or developer platform function from the ground up.

• Demonstrated skill in drafting a charter, defining intake processes, and constructing a roadmap.

• Ability to outline commitments and deliver initial bounded versions effectively.

• Expertise in AI cost engineering, including usage attribution, model optimization, token economics, spending traceability for agents, budgeting, and implementing guardrails.

• In-depth technical proficiency with LLM platform tools, agent and MCP architecture, identity management and OAuth, CI/CD, and infrastructure as code.

• Capability to develop platforms for non-developer users while maintaining high-security standards.

• Proficient in data governance within a regulated environment.

• Comfortable operating through influence across partner organizations.

• Minimum of 8 years of experience in platform, infrastructure, or systems engineering.

• At least 3 years of experience managing and developing engineering teams.

• Ideal candidates will have experience at a company that has undergone significant headcount growth.

• Must have authorization to work in the U.S. without current or future employer sponsorship.

• Possess curiosity, a willingness to learn, sound judgment, and a responsible approach to AI use.

🏝️ Benefits

• Industry-competitive salary and equity options.

• Comprehensive medical, dental, and vision insurance, with 100% coverage of employee-only premiums for most medical plans.

• 16 weeks of paid Parental Leave for all new parents.

• Health and wellness stipend.

• Remote workspace, internet, and cellphone stipends.

• Commuter benefits for team members reporting to the SF and NYC offices.

• Family planning assistance.

• Matching 401(k) contributions with immediate vesting.

• Flexible PTO policy.

• 80 hours of Sick Time.

• 11 company-paid holidays.

• Virtual team-building activities, lunch and learns, and other company-wide events.