About You
- Think in terms of governance, not just features: understand identity, access control, audit, and policy as trust infrastructure for enterprises using AI.
- Raise the bar on reliability as you scale: built strong service ownership, on-call practices, and quality bars in fast-growing organizations.
- Set technical direction independently: partner with Product and Design but push back on roadmaps based on technical/operational reality.
- Scaled engineering organizations through structural change: led managers and leads through transitions, redefining ownership and operating models.
- Deeply customer- and stakeholder-oriented: worked with sales, customer success, and enterprise customers; made tradeoffs between scale and speed.
- Driven engineering quality and velocity with data: established data-driven measurement for delivery, reliability, quality; balanced reactive and proactive work.
- Skilled mentor, coach, and communicator: track record developing engineers and leaders; proactive clear communication in writing.
- Lead AI-native engineering: used AI coding agents (Cursor, Claude Code, etc.); point of view on rethinking code review, on-call, quality for agent-authored code.
- Champion efficiency and leverage: default to AI-first thinking; build compounding systems.
What You'll Be Accountable For
This organization spans identity and access management, audit and compliance infrastructure, admin and asset management tooling, AI/agent governance, and enterprise customer-facing engineering.
Governance Vision & Strategy
- Define and drive strategy and roadmap for Enterprise Governance, partnering with Product, Design, and company-wide agent strategy.
- Own technical point of view on identity, access, audit, and policy; defend in cross-functional and executive settings.
- Make staffing and investment trade-off calls across initiatives.
AI-Native Governance & Engineering
- Own technical roadmap for systems governing AI actions: identity/permissions for agents, audit trails, policy controls.
- Define safe, accountable AI-native engineering practices for teams (code review, on-call, quality bars).
- Identify and implement AI-powered tooling to accelerate delivery and quality.
Reliability & Trust
- Accountable for reliability of identity, audit, and admin infrastructure, including Tier-1 services.
- Build bench strength and resilience across critical systems.
- Step in during major incidents, coordinating resources and setting expectations.
Customer & Cross-Org Partnership
- Partner with Sales, Customer Success, and enterprise customers to translate needs into engineering roadmap.
- Own cross-org technical initiatives on identity and governance.
Team Building & Talent
- Build on and further develop the engineering organization.