Senior Product Manager
Staffbase•4h ago
Berlin, Brandenburg, GermanyHybrid$1Full-timeSenior Level5+ yrs exp
Top focus
Product ManagerSenior Product ManagerVp Product
- About Staffbase
- We inspire people to achieve great things together. Our mission is to help organizations unlock the power of inspirational communication with the first AI-native Employee Experience Platform . Our industry-leading and award-winning agentic AI communications channels - intranet, employee app and email solutions - create engaging experiences that connect and empower employees.
- Headquartered in Chemnitz, Germany and New York City, with offices in Berlin, London, Sydney, Tokyo, Prague
- Minneapolis–St. Paul, our diverse team of 750+ employees supports 2,000+ customers—reaching over 16.4 million employees—in transforming their employee experience.
- We are proud to be a Unicorn company—privately valued at over $1 billion—demonstrating strong growth, innovation, and lasting impact in our industry. Together, we’re shaping the future of workplace communication.
- At Staffbase, the search experience is one of the most strategically important problems we’re solving. Our stream is responsible for two deeply connected products: Hybrid Search — our next-generation search intelligence combining keyword and semantic search — and Navigator, the AI assistant that employees interact with directly.
- We’re looking for a Senior Product Manager to own Hybrid Search end-to-end: from our 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.
- This is a role for someone who finds depth and craft in growing and maturing a technically complex product, negotiating priorities with a senior engineering team
- continuously keeping the end user front and centre even when the work gets deeply technical.
- 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 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 — you understand embeddings, retrieval models, and the difference between keyword and meaning-based matching
- Familiarity with search relevance and re-ranking — you know what it takes to tune results quality and can 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 — you’ve worked on or alongside products that generate a direct answer from retrieved results
- Familiarity with search evaluation frameworks — you’ve thought about offline evaluation, human judgment, and metric design beyond just click-through rate
- What you'll get
- Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan)
- Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
- Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
- Support - we offer offering a company pension scheme
- Volunteers Day - you’ll get one day off per year for supporting a social project
Required skills
Product ManagementAIMachine LearningB2B SaaSInformation RetrievalSearch