Staff Technical Product Manager, Autonomous Workforce

About the role

We're looking for a Technical Product Manager to own execution for AI powered product experiences within a fast-moving, AI-driven organization. This is a hands-on role: you'll translate strategy into shipped outcomes, work daily with engineering and data science to build and iterate on AI-powered capabilities, and use data to drive prioritization decisions. You'll operate in a cross-functional environment where influence, clear communication, and sound judgment matter as much as technical depth.

This role is for someone with proven, hands-on execution experience enabling and shipping AI products. We're looking for concrete evidence of what you've shipped, how you prioritized features, and how you worked with engineering to solve real technical problems in conversational systems.

What You'll Own

• End-to-end delivery for an enterprise AI product area, from customer feedback and requirements through launch and iteration.
• Roadmap development and prioritization: translating customer needs, market intelligence, and usability research into a clear, data-driven roadmap.
• Data-driven prioritization: using product analytics, usage data, and experimentation to decide what to build next and why.
• Clear, structured written artifacts - requirements documents, product specs, and prioritization rationale - that align engineering and cross-functional stakeholders.
• Day-to-day collaboration with engineering and data science to scope technical tradeoffs, resolve ambiguity, and keep delivery on track.
• Building and maintaining strong working relationships with cross-functional partners, communicating clearly to align priorities and outcomes.

Why This Role Matters

• Direct ownership over a meaningful slice of an AI-powered product, with real accountability for outcomes.
• Exposure to a fast-scaling AI portfolio and the chance to build execution muscle that compounds into larger scope over time.
• Work alongside senior product, engineering, and data science partners who will stretch your technical and strategic thinking.

What Success Looks Like

• Consistent, on-time delivery against a roadmap you helped shape using data, not assumption.
• Requirements and specs that engineering can execute with minimal back-and-forth.
• Strong, trusted working relationships with engineering, data science, and cross-functional partners.
• Demonstrated ability to independently resolve ambiguity and make sound prioritization calls under time pressure.

To be successful in this role you have

• 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.
• 8+ years of technical product management experience, with direct, hands-on experience shipping AI or data-powered products - not just familiarity with AI concepts.
• Deep curiosity about customer needs, with a track record of building customer relationships and delivering customer-centric solutions.
• Experience supporting enterprise customers through pilots, UAT, go-live, stabilization, or critical escalations.
• Strong data sense: comfortable defining metrics, analyzing usage data, and using it to drive prioritization decisions.
• Proven ability to write clear, structured requirements, specs, and strategy documents.
• Experience operating in a cross-functional environment, with solid stakeholder management, influencing, and negotiation skills.
• Strong verbal and written communication skills; able to align technical and non-technical stakeholders.
• Demonstrated ownership and execution track record - specific examples of what you've shipped and the impact it drove.
• Technical fluency sufficient to engage credibly with engineering on tradeoffs and feasibility.

Pay and benefits

For positions in this location, we offer a base pay of $149,800 - $262,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure.

Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information: Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.