Founding Product Manager

Who we are

Enterprise teams still copy data between systems all day. Work gets stuck in emails, legacy UIs, and handoffs. That chaos is costly, slow, and risky.

We're a fast-moving team on a mission to end it for good. Traction is strong and we're solving real problems for real customers—but to win, we need exceptional talent. We stay humble, do the work, and let results speak.

What we are building

We're building the AI operations platform for retail and CPG enterprises—a horizontal platform where AI agents execute end-to-end work across UIs and APIs with governance built in.

Where copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. We start with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expand to adjacent functions and sectors.

Velocity is our moat: ship fast, iterate faster, compound learning.

The role

You will own the "what" and "why" behind what your team builds — defining problems worth solving, setting priorities, and making sure every feature ships with a clear success metric. You work at the intersection of customer needs, business goals, and engineering reality.

This is not a "write specs and hand them off" role. You're technically fluent and you lead through clarity, conviction, and the willingness to do the work.

Your unit of ownership: product outcomes for your area — roadmap, prioritization, success metrics, and the customer feedback loop that drives iteration. You'll own product surfaces like the assignment builder, case management queues, Clarity process analysis, and the integration marketplace.

We're a growing product team scaling into multiple initiatives. You'll be one of the first PMs — initially owning all surfaces, then focusing as the team grows.

What we're looking for

These are non-negotiables—the things we'll specifically evaluate you on:

• Systematic customer discovery. You talk to customers regularly, run structured interviews, and synthesize patterns into actionable insights. You distinguish signal from noise and make sure the team builds for real problems, not assumptions.
• Prioritization and focus. You ruthlessly scope and sequence work. You can say no to good ideas to protect great ones. You define MVPs that are genuinely minimal but still deliver value.
• Outcome-driven thinking. You define success metrics before building starts, instrument them, and hold yourself and the team accountable to results. You kill work that isn't moving the needle.
• Cross-functional leadership. You align engineering, design, and stakeholders around a shared plan without relying on authority. You communicate clearly, resolve conflicts, and keep everyone pointed at the same goal.
• Technical fluency. You can read a pull request and understand its product implications, write SQL queries to analyze user behavior, prototype ideas using AI coding tools, set up and interpret analytics dashboards, and debug user-reported issues by reading logs. You don't write production code — but you understand the system well enough to make informed product tradeoffs without waiting for an engineer to explain everything.
• AI product sense. You understand the unique challenges of AI-powered products — confidence thresholds, human-in-the-loop design, error recovery, and building user trust in autonomous systems. You'll prioritize across product surfaces with incomplete data and make bets on customer needs before you have full certainty.

You might also

• Have enterprise product experience — navigating procurement, compliance, multi-stakeholder buying, and long sales cycles.
• Have a background in automation, workflow tools, or RPA — familiarity with the problem space we're disrupting.
• Have shipped 0→1 products, not just iterated on existing ones.

This is not for you if

• You write PRDs and hand them to engineers — here, you're in the work with the team.
• You want to experiment for months before committing to a direction — we iterate fast, make a judgment, and move on.

Our tech stack

• Type Script-first
• React and Fastify
• Postgres, GCP
• Latest AI primitives

How we work

These are real tradeoffs we've made, not…