Senior Staff AI Product Manager - Flexible Leader

ServiceNow

San Diego (CA)

Hybrid

USD 172,000 - 301,000

Full time

4 days ago
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Benefits offered by this job

Health plans
401(k) match
ESPP
Matching donations
Family leave
Flexible time off

Job summary

ServiceNow is seeking a Senior Staff Technical Product Manager to own strategy and execution for AI-powered product experiences in a fast-moving, AI-driven organization. You will help define the roadmap itself using data-driven prioritization and cross-functional alignment.

This role requires proven hands-on execution at scale—evidence of shipped AI products and the tradeoffs navigated. You will mentor junior PMs and collaborate with engineering and data science leaders to raise the bar across

Qualifications

  • Experience leveraging or integrating AI into work processes and decision-making.
  • 12+ years of product management with hands-on AI or data-powered products.
  • Strong data sense and ability to drive prioritization using analytics.
  • Strong stakeholder management and alignment across senior teams.

Responsibilities

  • Strategy and execution for a broad product area to accelerate agent productivity.
  • Data-driven decision-making using product analytics, experimentation, and usage data.
  • High-quality strategy and requirements documents for senior stakeholders.
  • Cross-functional leadership across engineering, data science, and leadership.
  • Mentor junior product managers to raise execution standards.

Skills

AI product management
Data-driven decisions
Cross-functional leadership
Mentorship

Job description

ServiceNow is seeking a Senior Staff Technical Product Manager to own strategy and execution for AI-powered product experiences in a fast-moving, AI-driven organization. You will help define the roadmap itself using data-driven prioritization and cross-functional alignment.

This role requires proven hands-on execution at scale—evidence of shipped AI products and the tradeoffs navigated. You will mentor junior PMs and collaborate with engineering and data science leaders to raise the bar across

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