Senior Staff Technical Product Manager, Conversational AI

ServiceNow•San Diego, CA

8h•$171,900 - $300,800•Hybrid

About The Position

We're looking for a Senior Staff Technical Product Manager to own strategy & execution across AI powered product experiences within a fast-moving, AI-driven organization. This role goes beyond delivering against a roadmap — you'll help define the roadmap itself, using data-driven prioritization and strong product sense to decide what matters most. You'll operate across a wider cross-functional surface area, requiring sharper stakeholder management, influencing, and negotiation skills to align multiple teams and senior partners around a shared direction. This role is for someone with proven, hands-on execution experience at scale — not theoretical AI knowledge. We're looking for concrete evidence of AI products you've shipped, the technical and business tradeoffs you navigated, and the cross-functional outcomes you drove, not conceptual familiarity with AI.

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, with recent, hands-on experience shipping AI or data-powered products at meaningful scale — not just conceptual AI knowledge.
Strong data sense and demonstrated ability to drive prioritization decisions using product analytics and experimentation, with measurable business impact.
Proven ability to write clear, senior-level strategy, requirements, and prioritization documents that stakeholders rely on.
Strong stakeholder management, influencing, and negotiation skills across senior, cross-functional, and sometimes competing priorities.
Excellent verbal and written communication skills, with a track record of aligning diverse technical and business audiences.
A track record of proven execution — specific, verifiable examples of AI products shipped, tradeoffs navigated, and outcomes delivered.
Strong technical fluency; comfortable engaging deeply with engineering on architecture and feasibility tradeoffs.

Nice To Haves

Experience mentoring or informally guiding more junior product managers is a plus.

Responsibilities

Strategy and execution for a broad product area to accelerate agent productivity, including defining the roadmap and prioritization framework, not just executing against one.
Data-driven decision-making at scale: using product analytics, experimentation, and usage data to make prioritization calls with meaningful business impact.
High-quality strategy and requirements documents that senior stakeholders and engineering leadership rely on to align and execute.
Cross-functional leadership: aligning multiple teams, engineering, data science, and senior stakeholders around shared priorities, often without direct authority.
Mentorship of more junior product managers, raising the execution and technical bar across the team.