Product Manager

Endex is building products that improve how teams work, and this Product Manager role is central to turning customer insights into shipped capabilities. You will own an assigned product area end to end, working closely with users, design, and engineering to deliver improvements and iterate based on what actually performs in the real world. The position is onsite in Denver, CO with a 5 days in-person commitment.

What you’ll do

• Understand customer work by observing how users complete demanding tasks, then separating the underlying need from a requested feature.
• Set product direction by prioritizing workflows and capabilities while defining clear trade-offs, success measures, and a scope the team can deliver.
• Shape the solution in partnership with design and engineering, aligning on a scope that is clear and feasible.
• Measure agent quality with engineering by evaluating correctness, task completion, latency, and user trust, then using results to drive iteration.
• Connect the team by keeping customer-facing teams informed about capabilities and the decisions behind them.

What you bring

• Product experience, including experience shipping software and the ability to explain the decisions behind it.
• Customer judgment, with a track record of distinguishing an underlying need from a requested feature.
• Technical fluency, able to reason about engineering constraints and implementation trade-offs.
• Clear writing, helping teams understand problems and decisions.
• Hands-on product judgment, including the ability to prototype, evaluate an AI workflow, and communicate why one problem deserves attention before another.

Benefits

• Health & Dental Insurance
• Monthly Wellness Stipend
• 401K Matching

Role location and availability

Endex lists multiple onsite locations including New York City (Primary), Denver, Chicago, Singapore (APAC), London, San Francisco, Austin, and Los Angeles.

Nice to have

• Experience with enterprise AI products
• Experience with productivity or financial workflows
• Experience with AI agents, product experimentation, or evaluation-driven development