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Lead Product Manager

Instrumental Inc

Palo AltoHybrid10mo ago
Employment
Full-time
Seniority
Lead

About the role

  • Deeply experienced with hardware manufacturing and NPI, having worked directly with CMs.
  • Relentlessly about getting hands-on with customers and data.
  • A self-starter who drives projects fast, ships, and iterates quickly.
  • Skilled in software product management methodology and confident driving best practices with the team.
  • AI-forward, spotting and executing opportunities to apply AI to accelerate daily workflows.
  • Drive strategic thinking and execution for complex software products that serve manufacturing customers.
  • Build strong relationships with manufacturing stakeholders - from factory floor engineers to executives - to uncover insights and drive product-market fit.
  • Own the roadmap and execution for a core product area while coaching PMs on best practices in product discovery, delivery, and iteration.
  • Partner with engineering, design, and leadership to prioritize initiatives, manage tradeoffs, and deliver high-velocity impact.
  • Instill strong product management rituals (backlog grooming, sprint planning, retrospectives, KPI tracking) and coach the team to execute them effectively.
  • Champion a culture of continuous improvement: ensure we measure success post-launch, iterate to deliver value, and avoid the “ship and move on” trap.
  • Advocate for and implement AI and automation where it can accelerate discovery, decision-making, and delivery.
  • Hardware background (mechanical, electrical, etc), with deep experience on programs that have successfully gone through NPI.
  • 5+ years of software product management experience, with a strong foundation of product management best practices
  • Proven ability to take initiative and drive impactful projects to completion quickly with minimal oversight.
  • Comfort with ambiguity, pace, and frequent pivots inherent in a startup environment, with a track record of creating clarity for teams.
  • Experience introducing and integrating AI tools/processes into product workflows.
  • Demonstrated skill in setting, iterating on, and measuring KPIs to ensure ongoing product value.

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