Senior Technical Product Manager

Darum lohnt es sich

What you’ll be doing • Own the transition from GA release to the next phase—incorporating early customer feedback, defining what gets fixed vs. what gets expanded, and driving a clear prioritization call on roadmap direction • Establish the right success metrics for search: balancing technical performance signals with genuine user value • Work closely with the AI Assistant team to ensure search intelligence keeps pace with what the assistant surfaces • Expand search coverage: video subtitle indexing, richer content types, deeper platform integrations (SharePoint, Confluence, and beyond) • Build toward enterprise search: connecting Staffbase to the knowledge bases customers already use • Drive re‑ranking improvements and relevance quality as the product matures • Help define what it means for an employee to find the right information, at the right time, from any device What you’ll need to be successful • 5+ years of product management experience, ideally with exposure to search, information retrieval, or AI/ML‑powered products • B2B SaaS background strongly preferred—you understand enterprise customers, IT stakeholders, and the complexity of integrations • Demonstrated ability to work on technically complex products while keeping user needs visible and central • You find satisfaction in iterating, improving, and maturing a product, not just launching it • Confident and opinionated: you can hold your own with a senior, highly technical engineering team and negotiate priorities accordingly • Technically fluent: you don’t need to write code, but you need to understand how search infrastructure, indexing, and ranking work well enough to have credible conversations about trade‑offs • User‑oriented: even on a deeply technical product, you know how to tie performance metrics back to what actually matters for the end user Highly desirable • Experience with semantic or vector search—understanding embeddings, retrieval models, and the difference between keyword and meaning‑based matching • Familiarity with search relevance and re‑ranking—able to tune results quality and have an informed conversation about signals, scoring, and trade‑offs • Experience working with indexing pipelines—understanding how content gets ingested, structured, and made searchable • Exposure to enterprise knowledge integrations—connecting a search layer to external platforms like SharePoint, Confluence, or similar knowledge bases • Awareness of AI‑generated summaries or answer synthesis—worked on or alongside products that generate a direct answer from retrieved results • Familiarity with search evaluation frameworks—thought about offline evaluation, human judgment, and metric design beyond just click‑through rate What you’ll get • Competitive compensation—including a salary package, LTIP (unit‑based Long Term Incentive Plan) • Flexibility—flexible working time models, hybrid work options, and a yearly flex work allowance of €1,560 • Recharge—31 vacation days annually (incl. one floating holiday) plus pro‑rated fully paid Fridays off during August • Company pension scheme • Volunteer Day—one day off per year for supporting a social project We are looking for a Senior Technical Product Manager to own Hybrid Search end-to-end: from the upcoming GA release through the next stage of expansion into enterprise‑grade, multi‑platform search intelligence.

This is one of the top initiatives in the company, with high visibility to senior leadership and a meaningful impact on how millions of frontline employees find the information they need—whether they’re at a desk or on the go as a nurse, technician, or field worker.