Senior Product Engineer / Product Owner

The Data Q Company; München; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

EGYM Wellpass

Team events

Top-tier equipment

Zusammenfassung

DQC, Munich-based and remote-friendly, seeks a Product Engineer to bridge product vision and technical execution, shaping agentic workflows and a fast-growing platform.

You will own the feature lifecycle, design backend systems for AI-driven data quality tasks, and push the product roadmap with a founder-like ownership mindset. Fluency in English and an EU work permit are essential.

Qualifikationen

• 5+ years delivering production-grade systems with product-led development.
• Ability to speak technical specs and translate requirements into design.
• Proven experience with agentic workflows in professional or intensive projects.
• Strong data-stack experience and modern data platforms.
• Track record of high-stakes product decisions balancing short-term needs and long-term scalability.
• Excellent written and verbal English communication.
• EU work permit valid.

Aufgaben

• Bridge the gap between product vision and technical execution.
• Lead transition toward an automated spec-to-code cycle using AI agents.
• Own full lifecycle of feature development and roadmap ownership.
• Architect backend systems enabling LLM-driven data quality tasks.
• Influence product direction and engineering culture in a fast-growing startup.
• Explore agentic workflows and frontier AI models in practice.
• Promote self-healing systems that reduce manual oversight.
• Communicate trade-offs clearly to stakeholders and write clear specifications.
• Value velocity and drive rapid, concrete product outcomes.

Kenntnisse

Product mindset

Agentic workflows

Data fluency

Decision-making

Fluent English

EU work permit

Tools

LangChain

AutoGPT

Custom agent frameworks

Jobbeschreibung

At DQC, we’re building agentic data quality software that fundamentally improves how organizations build and operate data systems. We are a fast-growing startup founded in 2022, headquartered in Munich, and remote-friendly.
The DQC Platform sits at the intersection of backend systems, modern data stacks, and LLM-driven workflows. We are moving toward a future where the distance between specification and production code is bridged by AI. As a Product Engineer at DQC, you won't just build the platform; you will pioneer the agentic workflows that build the platform itself.

In this role, you can expect to:

Bridge the Gap: Act as the primary interface between product vision and technical execution, translating customer needs into agentic system designs.

Drive Agentic Workflows: Lead our transition toward an automated "spec -> code" development cycle using advanced AI coding agents.

Own the Outcome: Own the full lifecycle of feature development, focusing on the "Why" and "What" as much as the "How."

Architect Intelligence: Design and maintain backend systems that empower LLMs to perform complex data quality and improvement tasks autonomously.

Think Like a Founder: You take extreme ownership of the product roadmap and the user experience, not just the ticket backlog.

Are an AI Native: You don't just use LLMs; you are actively exploring the frontier of agentic workflows and automated software engineering.

Strive for "Self-Healing" Systems: You prefer building systems that can identify and fix data issues over manual oversight.

Communicate with Precision: You can explain complex technical trade-offs to stakeholders and write "prompt-ready" specifications.

Value Velocity: You are motivated by the chance to shape both the product and the engineering culture in a high-speed startup.

You should apply if you have:

5+ years of professional experience delivering production-grade systems, with a strong emphasis on product-led development.

Technical Roots: experience with technical specs (you must be able to "speak" the specs, even as agents write the code).

Agentic Expertise: Proven experience using and advancing agentic workflows (e.g., LangChain, AutoGPT, or custom agent frameworks) in a professional or intensive personal capacity.

Data Fluency: Strong experience with databases/data-warehouses or core data systems and the ability to navigate modern data stacks.

Decision-Making Mojo: A track record of making high-stakes product decisions that balance immediate product needs with long-term scalability.

Fluent English: Strong written and verbal communication skills.

Requirement: A valid EU work permit.

(Plus) Skills we value:

Hands-on experience with frontier AI models and coding agents, including Claude , OpenAI Codex , and Kimi .

Experience in a fast-paced startup environment where roles are fluid.

What We Offer

Future-Proof Role: A chance to be at the forefront of the agentic software revolution.

Ownership: Above-market compensation and a virtual share program (VSOP).

Growth: A steep learning curve in a fast-growing AI startup with short decision paths.

Environment: State-of-the-art office in Munich and a genuine, highly motivated startup culture.

Perks: EGYM Wellpass, team events, and top-tier equipment.