---
title: 'Product Engineer (EU/UK Based - Remote) at Duvo Inc'
canonical: 'https://feeny.ai/job/product-engineer-eu-uk-based-remote-duvo-inc-london-4yzc5j52rj1n'
type: 'job'
last_seen: '2026-10-16'
---

# Product Engineer (EU/UK Based - Remote) at Duvo Inc

- **Company:** Duvo Inc
- **Location:** London, United Kingdom
- **Compensation:** €110k–€220k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-24
- **Last confirmed live:** 2026-10-16
- **Apply:** https://jobs.ashbyhq.com/duvo/57217606-a5e2-408c-aee8-7eb06de7a654/application

**Skills:** TypeScript, Next.js, React, Tailwind, Fastify, Kysely, PostgreSQL, Zod, GCP, LLM Integration, API Development, Security and reliability in production systems, Scalable distributed systems, LLM evaluation design, Prompt engineering, Safety controls, Cost optimization in production

> Build and own end-to-end AI operations platform features for retail and CPG enterprises. The role involves connecting technical choices to customer outcomes, shipping fast under ambiguity, and managing the full stack from UI to deployment.

## Job description

## WHO WE ARE

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.

## WHAT WE ARE BUILDING

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.

## THE ROLE

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.

## WHAT WE'RE LOOKING FOR

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.

## YOU MIGHT ALSO

- 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.

## THIS IS NOT FOR YOU IF

- 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).

## LOCATION

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

## OUR TECH STACK

- GCP (Cloud Run, GKE, GCS)
- Terraform, Docker
- Datadog
- TypeScript and Python services (you'll read and occasionally modify application code, but deep language expertise isn't required)
- Postgres, Redis

## HOW WE WORK

These are real tradeoffs we've made, not aspirations:

- Initiative-driven. We organize around customer problems, not org charts. Problems surface through product feedback, competitive analysis, and direct customer conversations — then we prioritize, build, and ship weekly.
- Customer-obsessed. We solve real problems, not hypothetical ones. Features that don't move customer metrics get cut.
- Iterative by default. We ship small, learn fast, and never get attached to yesterday's code. This means things break sometimes — we fix forward.
- AI-first leverage. We use AI to move faster and focus human time where it matters most. If a tool can do it, a person shouldn't.
- Direct feedback. We give each other actionable feedback immediately. This can feel uncomfortable — we think that's worth it.
- Autonomy with accountability. We trust people to make decisions and hold them to outcomes, not process.

## WHAT WE OFFER

- Unlimited AI budget. We don't just allow AI tools — we strongly encourage them. Want to try a new tool? Buy it. Want to automate part of your workflow? Do it.
- Autonomy to do your best work. Want to meet someone to learn from? Set it up. Want a mentor? Go get one. Want to fly out to talk to an important customer? Just ask.
- A real AI product with real customers. You're not building demos or internal tools. Enterprise customers use what you ship, and their feedback drives what you build next.
- A sharp, motivated team that values ownership and candor.

## HOW WE HIRE

We respect your time and aim to move fast:

1. Discovery call (online, 30 min). We'll talk about you, how you think and whether there's mutual fit.
2. Technical interview (online, ~1 hour). Meet the team. We'll go deeper on your experience, system design, product thinking, and collaboration. No trick questions — we want to see how you think and build.
3. On-site trial day (1 day). Ship something small to production with us and see how we work together. Compensated.

## About Duvo Inc

## Company Overview
- **One-liner**: Duvo is an agentic operations platform that maps, optimizes, and runs real-world operational workflows for retail, FMCG, and CPG companies.
- **Entity Type**: Private (Series A)
- **Headquarters**: Primarily London, UK, with a significant presence in Prague, Czechia
- **Founded**: 2025
- **Founders**: Tomáš Čupr, Marek Paris, Karel Holub, Ondřej Romancov, Simon Ammann

## Core Business
- **Primary Industries**: Enterprise AI / Operations Automation / Retail & CPG Technology
- **Target Customers**: Large retailers, FMCG (Fast-Moving Consumer Goods) and CPG (Consumer Packaged Goods) companies, multi-billion-€ enterprises
- **Mission/Purpose**: To deploy into live operations, map what is real, fix what is broken, and run the better version — bridging the gap between enterprise systems (SAP, ERP, supplier portals) and the actual work that keeps a business running.

## Products & Services
- **Duvo Platform (Agentic Operations Platform)**: A SaaS platform that maps real-world processes (using Duvo Clarity), designs improved operating models, and then runs approved workflows across SAP, ERP, supplier portals, email, spreadsheets, web tools, files, and internal systems using AI agents. It supports messy enterprise environments where APIs are incomplete by combining hosted connections, browser automation, custom MCP servers, and human approval gates. Features include RBAC, SSO, audit trails, policy gates, and human-in-the-loop review. [duvo.ai](https://www.duvo.ai/)
- **Primary Use Cases**: Supplier onboarding and compliance documentation; Purchase order creation, confirmation, and exception handling; Invoice matching, deductions, and finance operations; Inventory availability and replenishment; Price list updates and promo guardrails; Master data and SKU onboarding. [duvo.ai](https://www.duvo.ai/)

## Market Standing
- **Valuation**: Not publicly disclosed (raised $16M in December 2025)
- **Total Funding**: ~$16M (Series A, led by Index Ventures, with participation from Northzone and Credo Ventures) [duvo.ai](https://www.duvo.ai/company)
- **Key Metric**: ~€10M+ annualised impact shipped in live operations; 3 multi-billion-€ retailers in production [duvo.ai](https://www.duvo.ai/company)
- **Notable Investors/Partners**: Index Ventures (lead), Northzone, Credo Ventures [linkedin.com](https://www.linkedin.com/company/duvo-ai)
- **Growth Signals**: Founded in 2025 by the team behind Rohlík (a $1.5B grocery retailer); already has 3 multi-billion-€ retailers in production; SOC 2 Type II and ISO 27001 certified; growing headcount from ~40 people; operating across Europe and the US. [duvo.ai](https://www.duvo.ai/company)

## Competitive Advantages
- **Deep Domain Expertise**: Founders built a $1.5 billion retailer (Rohlík) — they lived the exact operational pain they now solve. They don't theorize about operations; they've been inside them at 3 AM when shipments fail [duvo.ai](https://www.duvo.ai/company).
- **Process Truth**: The platform maps what *actually* happens (not what an org chart says), including work that lives across SAP, spreadsheets, email threads, and supplier portals.
- **Full Stack Operations**: Combines process mapping, process improvement, compliance, and execution into one platform — unlike point solutions (Zapier, UiPath) or generic AI agent frameworks (LangGraph, CrewAI).
- **Enterprise Ready**: SOC 2 Type II and ISO 27001 certified with end-to-end encryption, RBAC, SSO, and audit trails — built for large, regulated retailers. [duvo.ai](https://www.duvo.ai/about-us)
- **Predictable Pricing**: One subscription — no token bills — giving customers control over what runs vs. what waits for human approval. [linkedin.com](https://www.linkedin.com/company/duvo-ai)

## Strategic Focus
- **Scaling Deployments**: Moving from 3 anchor retail customers to broader commercial expansion across Europe and the US.
- **Product Depth**: Continuing to build out the agentic operations platform, likely expanding the library of pre-built retail/CPG workflows and system integrations.
- **Hiring Builders**: Actively recruiting "operators and builders" — forward-deployed engineers, product engineers, SREs, AI platform engineers — who will deploy directly into live enterprise environments. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/duvo)
- **Go-to-Market**: Building out sales, pre-sales, and partnerships teams (with roles in London and New York) to capture the large retail/FMCG/CPG automation market.

## Why Work Here
- **"Operators and Builders in the Same Room"**: Company culture emphasizes building and deploying into real, messy operations — not just building demos. The team is ~40 people across Europe and the US who "would rather deploy into a live operation than theorize about one." [duvo.ai](https://www.duvo.ai/company)
- **Remote-First (with EU/UK timezone preference)**: All 22 open roles are remote, with a base out of London (and a Prague office). Locations include London, New York, Prague, and remote across EU/UK. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/duvo)
- **High Impact from Day One**: Work directly with multi-billion-€ retailers on mission-critical supply chain, finance, and logistics operations — not internal tools.
- **Fast-Growing, Well-Funded Startup**: Backed by top-tier VCs (Index Ventures, Northzone) with $16M raised in Dec 2025, giving strong runways and growth trajectory. [duvo.ai](https://www.duvo.ai/company)
- **Strong Engineering Culture**: Offers equity; competitive salaries (e.g., €110K–€220K for Product Engineers, €150K–$200K for US-based roles); roles span Product Engineering, AI Platform Engineering, Site Reliability, and Forward Deployed Engineering. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/duvo)
- **Real Autonomy**: The "Team" section and job descriptions stress that you map, fix, and run — not just ticket-push. You own outcomes across the full stack.
- **Security & Compliance as a Given**: SOC 2 Type II and ISO 27001 certified — engineers build on a solid compliance foundation.

## Sources
1. [duvo.ai - Company & Careers](https://www.duvo.ai/company)
2. [duvo.ai - Product Page](https://www.duvo.ai/)
3. [duvo.ai - About Us / Security](https://www.duvo.ai/about-us)
4. [jobs.ashbyhq.com - Duvo Open Positions](https://jobs.ashbyhq.com/duvo)
5. [linkedin.com - Duvo Company Profile](https://www.linkedin.com/company/duvo-ai)

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