Director, Product Management

ServiceNow is an AI platform company helping businesses connect AI, data, and workflows to work smarter, faster, and better. The Director of Product Management will lead a team of product managers and own the strategy for developer platform capabilities spanning developer reach, sandboxes, agentic testing, metering, and release operations. This role will unify these areas into a governed software lifecycle that enables developers to build, test, and deploy AI- and human-generated code safely at enterprise scale.

Responsibilities:

• Own the multi-year product strategy and roadmap across Developer Reach, Developer Sandboxes, Agentic Testing, and Release Ops, and define how they compose into one lifecycle from authored change to governed, audited deployment
• Build, lead, and develop a team of PMs, one per area. Set a clear standard for product craft, coach PMs on strategy and execution, and hold the bar on the seams between them: shared primitives, consistent models, and a single coherent customer narrative
• Set product direction for validating AI-originated change at scale: what it means to trust an agent's output, what evidence a release needs to carry, and how much of the test and review burden can be automated without losing accountability
• Drive the Developer Reach strategy, including the product model for building in production with admin control, guardrails, and reversibility at enterprise scale
• Define the sandbox strategy: provisioning speed, production parity, data handling, and the developer experience of getting a safe place to work in seconds rather than days
• Own the release governance path end to end, including the tradeoffs between developer velocity and auditability, and the gating model that makes those tradeoffs explicit rather than accidental
• Shape the metering and cost-modeling strategy for this area in partnership with Pricing & Packaging and Finance, and understand how it impacts the entire App Engine portfolio
• Build the triage discipline that keeps escalations across a broad product surface from displacing the roadmap
• Model an AI-first way of working: use agentic coding tools directly, build and deploy against your own products, and bring firsthand experience of the pain your customers are describing

Requirements:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry
• 12+ years of product management experience, including experience leading and growing a team of PMs, with a track record of setting technical strategy independently rather than executing a roadmap someone else defined
• A track record of developing PMs, raising the bar on product thinking and execution across a team, and growing earlier-career PMs into strong owners of their areas
• Deep experience owning developer platform, DevOps, or SDLC products at enterprise scale: CI/CD, test automation, environment management, release orchestration, or change management
• Genuine hands-on technical comfort, including reading code, reasoning about system architecture, and holding your own in design discussions with senior engineers
• Direct, regular personal use of AI coding agents such as Claude Code, Cursor, or Windsurf in your own workflow
• Experience with enterprise change-management or release-governance systems and the tradeoffs between developer velocity and auditability, ideally including systems that gate deployment through a controlled artifact such as a change set
• Proven ability to build and defend an executive-level strategic case, and to navigate cross-business-unit governance and ownership disputes at the VP and SVP level, driving alignment across genuinely contested boundaries
• Demonstrated ability to run a high-volume operational surface, triaging escalations and production issues across many product areas while continuing to ship against a multi-year strategy
• Exceptional written and verbal communication, able to translate deep technical tradeoffs into a strategy that lands with engineers and with executive stakeholders in the same conversation
• Ideally, experience with test strategy at scale: automated test generation, coverage and flakiness economics, regression management, and what it takes for a team to actually trust a green build
• Familiarity with environment and infrastructure provisioning models, ephemeral environments, production parity, and data seeding or masking, and the cost and security tradeoffs each carries
• Working knowledge of agentic development workflows and what changes when a meaningful share of commits originate from an agent rather than a person: review, attribution, validation, and rollback