Public summary
A Berlin-based technology startup is seeking a Head of Product to lead the product vision, strategy, and roadmap of their AI-native platform. The role involves translating complex business challenges into clear product direction, leading a cross-functional team, collaborating with engineering to deliver AI-powered workflows, and aligning go-to-market strategies. Candidates should have significant product leadership experience, expertise in AI technologies including LLMs and structured extraction, data and experimentation fluency, a strong operational focus, and excellent English communication skills. The company offers a fast-paced and collaborative environment dedicated to innovation in business intelligence with AI.
Location and work setup
- Location
- Berlin
- Remote status
- Remote
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Own and define the product vision, strategy, and roadmap for the AI-native platform. Translate complex business and customer needs into a clear product direction. Define and track product success metrics. Lead and grow a cross-functional team of product, design, and engineering professionals. Collaborate with engineering to ship AI-powered workflows leveraging LLMs, retrieval systems, agents, and structured extraction techniques. Engage directly with customers to understand workflows, constraints, and unmet needs. Align product initiatives with sales, marketing, and leadership teams for successful go-to-market execution. Balance iteration speed with product quality, UX, reliability, and trust. Make prioritization and trade-off decisions under ambiguity. Develop scalable product capabilities based on repeated customer patterns.
Qualifications
5+ years of product leadership experience with a track record of taking technically complex products from concept to scalable business impact in high-growth settings. Hands-on experience delivering AI-powered products or significant AI features including knowledge of LLMs, retrieval, agentic workflows, structured extraction, and human-in-the-loop systems. Proficiency in data and experimentation including event instrumentation, funnels, cohorts, retention metrics, and analytics tools such as SQL. Understanding of enterprise product concerns including access control, SSO, security, and data governance. Familiarity with responsible AI and privacy-by-design principles, working closely with Engineering, Security, and Legal teams. Experience establishing a product operating system connecting strategy to measurable initiatives with disciplined execution. Proactive use of AI tools to enhance research, synthesis, prototyping, and decision-making. Fluency in English with strong communication skills for technical and executive audiences.