Director of Product Management

ServiceNow; Santa Clara (CA); On-site; USD 190,000 - 260,000; Full time

Benefits offered by this job

Generous family leave

Matched donations

Annual learning stipends

Flexible PTO

Competitive retirement plan

Paid volunteer time

Job summary

ServiceNow seeks a Director of Product Management to lead a PM team and own the strategy for empowering developers on the Now platform. You will drive the lifecycle from authored change to governed deployment, including sandboxing, testing, metering, and release operations.

You will guide a broad surface of more than twenty product areas, setting standards for product craft and cross-team collaboration with executive stakeholders. This role combines deep technical depth with strategic leadership.

Qualifications

• 12+ years of product management with team leadership.
• Experience building developer platforms and SDLC tools at enterprise scale.
• Proven ability to defend executive-level strategic cases.

Responsibilities

• Own multi-year product strategy across Developer Reach, Sandboxes, Testing, and Release Ops.
• Build and mentor a PM team covering ~20 product areas.
• Set governance, risk, and auditability standards for agentic development.
• Collaborate with Pricing, Finance, and cross-BU governance to align roadmaps.

Skills

Team leadership

Product strategy

Executive communication

Developer platform

DevOps/SDLC

AI coding tools

Tools

Claude Code

Cursor

Windsurf

Job description

• We are looking for a Director of Product Management to lead a team of PMs as well as own the product strategy for empowering developers on the Now platform to build and take their applications to production faster
• These areas include developer reach, testing, sandboxing, metering, and deployment of AI and human generated code
• As agentic build tools compress the time it takes to author a change, the bottleneck moves downstream
• Testing and deploying safely to production is already one of the loudest customer asks and one of the sharpest pain points on the platform. When changes originate from agents as well as people, and arrive at a much higher rate, the ability to validate and trust them quickly stops being a quality-of-life improvement and becomes a precondition for platform growth. You will lead the team that enables this for developers
• This is not four adjacent feature areas with a shared manager. Customers experience the SDLC as one motion, and the central product challenge of this role is the connective tissue: a sandbox that behaves like the instance you will deploy to, a test suite that knows what changed, a release path that carries the evidence, and a model for building directly in production that an admin can actually govern
• You set the strategy that makes their roadmaps resolve into a single lifecycle rather than four products that ship past each other
• The scope is deeply technical and close to execution. The Developer Reach feature area alone unlocks a path to building in production that admins can manage at scale without losing control, and it demands real technical depth to steer
• You will also carry a broad surface, over twenty product areas, with the escalation volume that comes with it, and you will need to run that operational load without letting it consume the strategic work
• 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
• Own the part of the platform that decides whether agentic development is safe enough for enterprises to adopt, at the moment that question is being answered
• Take four high-stakes bets that are currently separate and make them feel like one product, with the mandate and the team to actually do it
• Drive the Developer Reach strategy for bringing agentic development on the Now platform to any developer in an organization, and the broader production-build model, one of the most technically ambitious efforts in the org and a direct answer to a long-standing customer ask
• Operate at the center of the Platform Agentic Build Lifecycle org during the shift to AI-native software development, with influence over how changes get tested, governed, and released rather than only how they get written
• Grow a team of PMs at the point where the platform’s velocity ceiling is actually set

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time

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 industryFamiliarity with environment and infrastructure provisioning models, ephemeral environments, production parity, and data seeding or masking, and the cost and security tradeoffs each carries12+ 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 definedExceptional written and verbal communication, able to translate deep technical tradeoffs into a strategy that lands with engineers and with executive stakeholders in the same conversationProven 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 boundariesA 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 areasDemonstrated 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 strategyDeep experience owning developer platform, DevOps, or SDLC products at enterprise scale: CI/CD, test automation, environment management, release orchestration, or change managementIdeally, 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 buildGenuine 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 workflowExperience 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 setWorking 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