Product Engineer; EU - Remote

Enterprise work still moves by hand: copy-pasting between spreadsheets, endless email threads, and clunky legacy UIs. We started Duvo to end that for good.

We've already earned the trust of a range of customers, and our agents are helping them automate business-critical processes. We are growing fast, but to win from here we need exceptional people; that's where you come in.

We're building the AI operations platform for large enterprises, currently focused on retail and consumer packaged goods customers. In Duvo, customers build AI agents that execute work wherever it needs to get done—SAP, spreadsheets, supplier portals, email, APIs, you name it. Duvo is heavy on browser and computer use.

In Duvo, business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run. To help customers understand what to automate, we also help them map their processes by digesting interviews and internal documentation, which gets our foot in the door. We start with automating the parts of companies that we know best (category management, supply chain, finance ops) where we can show value fast, then expand to adjacent functions and sectors.

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

You will own end-to-end product features—from user-facing UI to API to data to deployment. You're the kind of engineer who connects technical choices to customer outcomes and ships with high velocity under ambiguity.

Your unit of ownership: user-facing features and the systems behind them, delivered to production and measured against customer impact.

These are non-negotiables. The things we'll specifically evaluate you on:

• Shipping and ownership. You've repeatedly taken ambiguous requirements to production. You own the full stack of a feature (UI, API, data, deployment) and you don't wait for someone to tell you what to build next.
• Product judgment. You can define MVP scope, pick the right metric to move, and kill work that isn't delivering value. You think about what the user needs, not just what's technically interesting.
• AI comfort. You've worked alongside AI systems—at work or in side projects. You're comfortable building features that interact with LLM outputs (parsing agent responses, designing human-in-the-loop flows), but you won't be training models.
• Strong sense of product quality. You care about the details of how a feature looks and feels, not just whether it works. You notice when something is off and you fix it.
• Collaboration. You're low-ego and team-first. You give and receive direct and constructive feedback, align proactively with product and design, and unblock yourself and others.
• Judgment in a fast-moving environment. You'll often define your own scope based on customer problems surfaced through product feedback and competitive gaps — then ship it within a week.

• Have a strong sense for security and reliability in production systems.
• Have scalable, distributed-system instincts—you've designed and operated systems that scale.
• Have deep applied LLM experience—evaluation design, prompt engineering, safety controls, and cost optimization in production.
• Have experience designing interfaces for AI-assisted workflows — confidence signals, human-in-the-loop interactions.

• You need significant hand-holding or aren't energized by figuring things out yourself.
• You primarily want to work on infrastructure (see our SRE and AI Platform Engineer roles).

We're looking for people within two hours of Prague (CET), so the team overlaps for most of the working day.

• GCP (Cloud Run, GKE, GCS)
• Terraform, Docker
• Datadog
• Type Script and Python services (you'll read and…