Senior Product Engineer

Posted 13 Days Ago
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Bratislava, SVK
Hybrid
Senior level
Artificial Intelligence • Big Data • Software • Business Intelligence
The Role
Own end-to-end product features from data models to UI. Shape product surfaces with founders and design. Build the semantic core that transforms enterprise data into governed, business-accurate meaning. Make principled technical decisions, integrate AI capabilities into the product, and collaborate across teams to deliver polished, performant user-facing systems.
Summary Generated by Built In
At Cirql One, we are building the foundational layer that connects enterprise data to AI: a layer that doesn’t just relay information, but genuinely understands it, making business meaning explicit, trusted, and actionable at scale.
The problem we’re solving is deceptively hard. SAP runs the core operations of more than 90% of Fortune 500 companies. The data is reliable. The meaning, however, is buried inside 30 years of configurations, customizations, and undocumented logic that no AI system can interpret on its own. We’ve spent decades inside these environments. We know the problem intimately, and we’ve built our company around a single conviction: before AI can truly scale inside the enterprise, business meaning must be made explicit.
Cirql One is that missing link: an enterprise semantic intelligence layer that gives AI models and agents a shared, business-accurate understanding of enterprise data. Our vision is to become the system of reason sitting above SAP, where intelligence, metrics, and AI automation are defined, governed, and executed.
For a talented, driven, and collaborative product engineer, working at Cirql One is an opportunity to shape how enterprise intelligence becomes something people actually want to use. You will own the full arc of a feature: from the data model to what lands on screen, on a team that takes both the craft and the mission seriously. That is our promise.
Tasks
* Own features end-to-end. Take a problem from idea to shipped product. You won’t hand things off at the frontend layer. You’ll see every feature through, and you’ll care about how it works and how it feels.
* Shape the product surface. Work directly with founders and design to define how the platform communicates with its users. Translate complex semantic intelligence into interfaces that feel clear, fast, and considered.
* Build the semantic core. Contribute to the platform that transforms raw enterprise data into structured, business-accurate meaning: from data extraction pipelines to semantic storage, versioning, and governance.
* Make principled technical decisions. Balance long-term platform coherence with the speed that early-stage demands. Push back when it matters. Adapt when it doesn’t.
* Amplify your impact with AI. Build AI capabilities into the product itself, and use the most powerful AI tools across your development workflow to move faster without compromising on quality.
Requirements
* Full-stack depth. Solid experience building and shipping user-facing products: comfortable across frontend interfaces, APIs, and backend systems. Technical decisions that hold up over time.
* Product sensibility. You care about UX, speed, and polish. You can spot a subpar solution and say so. You think about what to build, not just how.
* AI-first by default. Proficient with Claude Code and agentic workflows: not as a novelty, but as a core part of how you work every day.
* Sharp thinking. Break down complex problems methodically, reach well-reasoned conclusions. Comfortable making decisions under uncertainty.
* Clear communicator. Express ideas precisely in code, writing, and conversation. Walk non-technical colleagues through a technical decision without oversimplifying.
* Collaborative by default. Share knowledge freely, back the best idea regardless of where it came from. Someone colleagues genuinely want to build with.
Nice to have:
* Experience with data pipelines, ETL/ELT systems, or data lake architectures.
* Background in semantic systems: knowledge graphs, ontology mapping, or data catalogs.
* Exposure to SAP data structures or enterprise ERP environments.
* Prior startup experience. You know what early-stage actually means.
Benefits
* Competitive compensation. Fair and attractive pay that reflects the seniority and impact of the role.
* A growing team. We are scaling deliberately, bringing in people who raise the bar. Your scope grows as the company does.
* People who care. Everyone on the team is deeply invested in the problem and committed to doing the work well.
* Full transparency. No filtered updates. Everyone knows what’s being built, how the business is doing, and where we’re going.
If this role sounds like the right challenge, send us your CV.

Skills Required

  • Proven full-stack experience building and shipping user-facing products (frontend, APIs, backend)
  • Strong product sensibility focused on UX, speed, and polish
  • Proficient with Claude Code and agentic workflows; AI-first development practices
  • Ability to break down complex problems and make decisions under uncertainty
  • Clear written and verbal communication; able to explain technical decisions to non-technical stakeholders
  • Collaborative mindset; knowledge sharing and team-oriented
  • Experience with data pipelines, ETL/ELT systems, or data lake architectures
  • Background in semantic systems (knowledge graphs, ontology mapping, data catalogs)
  • Exposure to SAP data structures or enterprise ERP environments
  • Prior startup experience
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The Company
700 Employees
Year Founded: 2002

What We Do

Cirql One is a governed reasoning engine for Enterprise AI that transforms SAP and enterprise systems into structured, reusable business reasoning. It provides an SAP-native semantic intelligence layer that allows AI models and agents to have a shared, business-accurate understanding of enterprise data, acting as a system of reason for intelligence, metrics, and AI automation.

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