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Cognex

Robot type
Robotics
Location
NatickMassachusettsUSA
Job type
Product
Posted
Oct 21, 2026
Full-time

Senior Product Manager (2D)

Job description

We are working on a hybrid schedule: 3 days in the office, 2 at home.

A Senior Product Manager owns a product or significant product area end-to-end. This role defines problems, sets priorities, and drives alignment across functions with minimal guidance. A Senior Product Manager is a trusted owner of the full product lifecycle in their domain.

This is an individual contributor role owning a product area end to end. You’ll partner with customers and cross-functional teams, including sales, customer success, engineering, and product leadership to take agentic AI capabilities from beta to general availability while shaping multi-year roadmap decisions

Job requirements

  • Solid experience with return on investment (ROI) and pricing analyses; good understanding of financial tradeoffs in product decisions.
  • Proven experience defining and launching AI/LLM-powered products or features (ideally an assistant or agent), from setting the vision and success metrics to owning the commercial approach, including pricing, packaging,…
  • High-level communication skills and experience with both internal and external stakeholders, including Senior Managers and Directors; able to guide and influence decision making.
  • Synthesizes customer, market, technical, and financial inputs into clear product perspectives. Presents product strategies and recommendations with confidence to senior managers and directors.
  • Influences intelligent business decisions by organizing and filtering relevant information and building credibility across Engineering, Sales, Operations, Management, and Executives.
  • Strong understanding and experience of the engineering phase gate process; owns selected opportunities to present at phase gate meetings.
  • Models good product judgment and customer empathy in day-to-day decisions. Contributes to a culture of fact-based decisions and continuous improvement.
  • Defines success metrics for owned product areas. Uses quantitative and qualitative data to validate hypotheses and prioritize.

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