At a Glance
- Tasks: Own end-to-end product features and deliver impactful solutions.
- 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 cutting-edge AI technology in a dynamic environment.
- Qualifications: Experience in shipping full-stack features and collaborating effectively.
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
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.
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 Harrow employer: duvo.ai
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 benefiting from unlimited AI resources and opportunities for personal growth. Join a sharp, motivated team dedicated to solving real problems for enterprise customers, where your contributions directly impact the success of our cutting-edge AI operations platform.
StudySmarter Expert Advice🤫
We think this is how you could land Product Engineer (EU/UK Based - Remote) in Harrow
✨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! Reach out to current or former employees on LinkedIn. Ask them about their experiences and any tips they might have for the interview process. Plus, it could give you an insider's edge!
✨Tip Number 3
Prepare for the technical side! Brush up on relevant skills and be ready to discuss your past projects. Think about how your experience aligns with the role and be ready to share specific examples.
✨Tip Number 4
Don't forget to follow up! After your interviews, send a thank-you note expressing your appreciation for the opportunity. It shows professionalism and keeps you fresh in their minds.
We think you need these skills to ace Product Engineer (EU/UK Based - Remote) in Harrow
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 us what makes you unique and how you fit into our team culture.
Tailor Your Application:Make sure to customise your application for the Product Engineer role. Highlight your experience with shipping features, product judgement, and AI systems. Show us how your skills align with what we're building at StudySmarter!
Show Your Passion:We love seeing candidates who are genuinely excited about what we do. Share your enthusiasm for AI and how you've engaged with it in your past projects. Let us know why you're keen to join our mission to end chaos in enterprise teams!
Apply Through Our Website:For a smooth application process, make sure to apply directly through our website. This way, we can keep track of your application easily and ensure it gets the attention it deserves!
How to prepare for a job interview at duvo.ai
✨Understand the Product and Its Users
Before your interview, dive deep into the product and its target users. Familiarise yourself with how the product solves real problems for customers. This will help you articulate your understanding of user needs and demonstrate your product judgment during the interview.
✨Showcase Your Shipping Experience
Be ready to discuss specific examples where you've taken ambiguous requirements to production. Highlight your ownership of the full stack of a feature, from UI to deployment. This will show that you can thrive in a fast-moving environment and are comfortable with ambiguity.
✨Demonstrate AI Comfort
Since the role involves working alongside AI systems, share any relevant experiences you have with AI technologies. Discuss projects where you've interacted with LLM outputs or designed human-in-the-loop workflows. This will illustrate your comfort level and ability to integrate AI into product features.
✨Emphasise Collaboration and Feedback
Prepare to talk about your collaborative experiences and how you handle feedback. Share instances where you've given or received constructive criticism and how it improved the outcome. This aligns with the company's low-ego, team-first culture and shows you're a good fit for their environment.