Senior Manager, AI Corporate Engineering

Responsibilities

• Lead, coach, and grow a senior team spanning platform engineering and technical program management.
• Own identity and authentication for AI tools, connector and integration allowlisting, tiered permissions, and secure-by-default guardrails.
• Build AI cost engineering capabilities, including team- and individual-level attribution, model right-sizing, agent and automation spend traceability, budget thresholds, and alerting.
• Own the internal MCP layer, including commissioning, decommissioning, governance, and downstream impact assessments.
• Establish a golden-path deployment pattern for internal applications with private-by-default settings, lifecycle policies, and build-versus-buy guidance.
• Build enablement capabilities, including a skills and agent registry, an evaluation framework for internal AI usage, and technical enablement on sanctioned tools.
• Define the Corporate Engineering charter, ownership boundaries, intake process, and roadmap.
• Coordinate cross-functional work across Engineering, GRC, Security, Data, Finance, and People.
• Operate through influence across partner organizations and help non-developers safely build internal tools.

Requirements

• Experience standing up an internal AI or developer platform function from the ground up.
• Ability to define scope, deliver bounded first versions, and manage commitments and priorities.
• Fluency in AI cost engineering, including usage attribution, model right-sizing, token economics, agent cost traceability, limits, and guardrails.
• Hands-on technical depth across LLM platform tooling, agent and MCP architecture, identity and OAuth, CI/CD, and infrastructure as code.
• Understanding of data governance in regulated environments and responsible handling of sensitive data in prompts, repositories, and third-party tools.
• Comfort operating through influence across product AI, security policy, data platform, and budget teams.
• 8+ years in platform, infrastructure, or systems engineering.
• 3+ years managing and developing engineers.
• Authorization to work in the U.S. without current or future employer sponsorship.
• Curiosity and sound judgment in using AI responsibly to improve efficiency and impact.

Compensation and Benefits

• Industry-competitive salary and equity.
• Comprehensive medical, dental, and vision coverage, with employee-only premiums covered 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 San Francisco and New York City offices.
• Family planning benefits.
• Matching 401(k) contribution with immediate vesting.
• Flexible paid time off and 80 hours of sick time.
• 11 company-paid holidays.
• Virtual team-building activities, lunch-and-learns, and company-wide events.