At a Glance
- Tasks: Own end-to-end product features and connect tech choices to customer outcomes.
- Company: Join a fast-moving team on a mission to revolutionise enterprise operations.
- Benefits: Unlimited AI budget, autonomy, competitive salary, and equity options.
- Other info: Work with a motivated team that values ownership and direct feedback.
- Why this job: Make a real impact with AI in a dynamic, customer-focused environment.
- Qualifications: Experience in shipping products, strong collaboration skills, and comfort with AI systems.
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 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
- 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).
Our tech stack
TypeScript-first: Next.js, React, Tailwind, Fastify, Kysely (PostgreSQL), ZodGCPLatest AI primitives. You don't need to know all of these, but you should be excited to learn them quickly.
How we work
- 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.
Compensation 250.000,- CZK / month with a meaningful equity component. You can trade salary for additional equity if you prefer more upside.
How we hire
We respect your time and aim to move fast:
- Hiring manager screen (30 min). We'll talk about you, how you think and whether there's mutual fit.
- Remote task (async, time-boxed, ~1 hour). Build a small product end-to-end. Not LeetCode.
- Technical interview (Prague, ~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.
- On-site trial day (2 days). Ship something small to production with us and see how we work together. Fully compensated.
Product Engineer (EU/UK Based - Remote) in London employer: Duvo
At Duvo, we pride ourselves on being an exceptional employer that fosters a culture of autonomy, innovation, and collaboration. Our remote work environment empowers Product Engineers to take ownership of their projects while leveraging cutting-edge AI tools, ensuring meaningful contributions to real-world solutions for our enterprise customers. With a strong focus on employee growth and a commitment to direct feedback, we create a dynamic workplace where your ideas can flourish and make a tangible impact.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer (EU/UK Based - Remote) in London
✨Tip Number 1
Get to know the company inside out! Research their products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can sometimes lead to referrals, which can give you a leg up in the hiring process.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to the role. Think about how your past experiences align with their needs, especially around shipping and ownership.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our mission!
We think you need these skills to ace Product Engineer (EU/UK Based - Remote) in London
Some tips for your application 🫡
Be Yourself:When you're writing your application, let your personality shine through! We want to get to know the real you, so don’t be afraid to show your passion for product engineering and how you connect with our mission.
Tailor Your Application:Make sure to customise your application to highlight your experience with shipping products and working with AI systems. Show us how your skills align with what we're looking for, especially around ownership and product quality.
Show Your Problem-Solving Skills:We love candidates who can tackle ambiguity head-on. In your application, share examples of how you've taken vague requirements and turned them into successful products. This will really resonate with us!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Duvo
✨Understand the Product and Its Users
Before your interview, dive deep into the product and its target users. Familiarise yourself with how the AI operations platform works and think about the user experience. This will help you articulate how your skills can directly impact customer outcomes.
✨Showcase Your Ownership Mindset
Be ready to discuss specific examples where you've taken ambiguous requirements and turned them into successful products. Highlight your ability to own the full stack of a feature, from UI to deployment, and how you measure success against customer impact.
✨Demonstrate Your AI Comfort
Since the role involves working alongside AI systems, prepare to talk about your experiences with AI in previous projects. Share how you've interacted with AI outputs and your comfort level in designing human-in-the-loop workflows.
✨Emphasise Collaboration and Feedback
This team values low-ego, team-first collaboration. Be prepared to discuss how you give and receive feedback, align with product and design teams, and unblock yourself and others. Show that you're not just a lone wolf but a team player who thrives in a collaborative environment.