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About the Role
You will own end-to-end product features, from user-facing UI to API to data to deployment. Your unit of ownership includes user-facing features and the systems behind them, delivered to production and measured against customer impact.
Responsibilities
- Own end-to-end product features—from user-facing UI to API to data to deployment.
- Connect technical choices to customer outcomes.
- Ship with high velocity under ambiguity.
- Deliver features to production and measure against customer impact.
- Define MVP scope.
- Pick the right metric to move.
- Kill work that isn't delivering value.
- Think about what the user needs, not just what's technically interesting.
- Build features that interact with LLM outputs (parsing agent responses, designing human-in-the-loop flows).
- Care about the details of how a feature looks and feels.
- Fix things when something is off.
- Align proactively with product and design.
- Unblock yourself and others.
- Define your own scope based on customer problems surfaced through product feedback and competitive gaps.
- Ship within a week.
- Design and operate systems that scale.
- Design interfaces for AI-assisted workflows — confidence signals, human-in-the-loop interactions.
Requirements
- Repeatedly taken ambiguous requirements to production.
- Own the full stack of a feature (UI, API, data, deployment) and do not wait for someone to tell you what to build next.
- Worked alongside AI systems—at work or in side projects.
- Comfortable building features that interact with LLM outputs.
- Low-ego and team-first.
- Give and receive direct and constructive feedback.
- Do not need significant hand-holding or aren't energized by figuring things out yourself.
- Do not primarily want to work on infrastructure.
Skills
- TypeScript
- Next.js
- React
- Tailwind
- Fastify
- Kysely
- PostgreSQL
- Zod
- GCP
- AI primitives
- Security
- Reliability
- Scalable, distributed-system instincts
- Applied LLM experience—evaluation design, prompt engineering, safety controls, and cost optimization in production.
- Designing interfaces for AI-assisted workflows
Location
- Within two hours of Prague (CET)
Work Type
- Full-time
Experience Level
- Mid-level
Salary/Compensations
- 250,000 CZK / month
Benefits
- Unlimited AI budget
- Autonomy to do your best work
- Meaningful equity component
- Option to trade salary for additional equity
- Opportunity to meet people to learn from
- Opportunity to get a mentor
- Opportunity to talk to important customers
About the Company
- 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.
- Fast-moving team on a mission to end it for good.
- Traction is strong and solving real problems for real customers.
- 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.
- Copilots stop, Duvo finishes the job. Business users specify the outcome; agents plan, act, request approvals on exceptions, and learn with every run.
- Starting with a retail wedge (category management, supply chain, finance ops) where ROI is obvious, then expanding to adjacent functions and sectors.
- Velocity is our moat: ship fast, iterate faster, compound learning.
- Initiative-driven. Organize around customer problems, not org charts.
- Customer-obsessed. Solve real problems, not hypothetical ones.
- Iterative by default. Ship small, learn fast, and never get attached to yesterday's code.
- AI-first leverage. Use AI to move faster and focus human time where it matters most.
- Direct feedback. Give each other actionable feedback immediately.
- Autonomy with accountability. Trust people to make decisions and hold them to outcomes, not process.