Senior PM, Enterprise AI Platform

WRITER

Seattle (WA)

On-site

USD 183,000 - 283,000

Full time

3 days ago
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Benefits offered by this job

Generous PTO
Medical, dental, and vision coverage
Parental leave

Job summary

WRITER is hiring a Senior Staff Product Manager to shape the next chapter of our AI-powered enterprise platform. You will own ambiguous, high-impact problem spaces spanning multiple product areas, acting as a force-multiplier across the organization, and guiding initiatives from discovery through launch.

You will partner with the VP of Product and engineering teams, translating company goals into clear bets, while maintaining a relentless focus on customer needs and data-driven outcomes.

Qualifications

  • 8+ years of product management experience, ideally in SaaS or AI/ML
  • Senior- or staff-level experience managing across multiple teams
  • Customer-focused mindset with clear business judgment and technical fluency

Responsibilities

  • Drive high-impact product initiatives end-to-end across multiple squads
  • Shape strategy and roadmap with product leadership and VP of Product
  • Engage with enterprise buyers and end users to uncover needs and validate solutions
  • Collaborate with engineering and design on requirements and tradeoffs for LLMs and platform architecture
  • Align stakeholders across go-to-market, sales, marketing, and customer success
  • Define success metrics and communicate outcomes to leadership
  • Mentor PMs and raise product craft across the org

Skills

Product management
Strategic thinking
Execution
Communication
Customer empathy
Leadership
Mentoring
Data-driven decisions

Tools

LLMs
AI platforms
SaaS

Job description

WRITER is hiring a Senior Staff Product Manager to shape the next chapter of our AI-powered enterprise platform. You will own ambiguous, high-impact problem spaces spanning multiple product areas, acting as a force-multiplier across the organization, and guiding initiatives from discovery through launch.

You will partner with the VP of Product and engineering teams, translating company goals into clear bets, while maintaining a relentless focus on customer needs and data-driven outcomes.

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