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