Senior Technical Product Manager

About Staffbase

Staffbase empowers organizations to unlock the full potential of engaging communication through its pioneering AI-driven Employee Experience Platform. With award-winning solutions including intranet, employee app, and email communications, Staffbase connects and supports over 14 million employees worldwide. Headquartered in Chemnitz and New York City, supported by offices in major cities such as Berlin and London, the company serves more than 1,500 customers globally. As a Unicorn valued above $1 billion, Staffbase is recognized for its growth and innovation in shaping workplace communication's future.

Role Overview

This role entails full ownership of the Hybrid Search product, from its general availability launch towards advancing it into an enterprise-class, multi-platform search intelligence tool. The position is critical within the company, with high visibility to senior leadership and a direct impact on millions of frontline employees seeking timely and relevant information via various devices and contexts.

Key Responsibilities

• Manage the post-launch phase by integrating initial customer feedback, defining fixes versus feature expansion, and directing the prioritization of the roadmap.
• Define success metrics that balance technical search performance with authentic user value.
• Collaborate closely with the AI Assistant team to align search intelligence capabilities with assistant functionalities.
• Broaden search scope to include indexing of video subtitles, supporting diverse content formats, and enhancing integrations with platforms like SharePoint and Confluence.
• Drive development towards enterprise search by linking Staffbase solutions with customers’ existing knowledge repositories.
• Implement improvements in search result re-ranking and relevance as the product evolves.
• Clarify what it means for employees to access the right information promptly, across any device.

Candidate Profile

• At least 5 years’ experience in product management, preferably with exposure to search technologies, information retrieval, or AI/ML-powered products.
• Strong experience in B2B SaaS, with an understanding of enterprise customer needs, IT stakeholder management, and complex integration challenges.
• Proven capability to develop technically elaborate products while maintaining a clear focus on end-user requirements.
• Preference for iterative product refinement over one-time launch successes.
• Ability to confidently navigate and negotiate priorities with senior, technical engineering teams.
• Technical literacy enabling meaningful discussions around search infrastructure, indexing, and ranking trade-offs.
• User-centric mindset that ties search performance metrics to genuine user impact.

Preferred Qualifications

• Knowledge of semantic and vector search, including embeddings and retrieval models differentiating keyword and semantic matching.
• Expertise in search relevance tuning and re-ranking strategies focused on result quality.
• Experience with content ingestion and indexing pipelines for making information searchable.
• Familiarity with enterprise knowledge integration platforms such as SharePoint and Confluence.
• Exposure to AI-generated summaries and answer synthesis related to search results.
• Understanding of search evaluation frameworks involving offline assessments, human judgments, and metrics beyond click-through rates.

Benefits and Work Conditions

• Competitive salary with a Long Term Incentive Plan (LTIP) offering equity units.
• Flexible work arrangements with options for hybrid models and an annual flex work allowance of €1560.
• Generous leave policy including 31 vacation days annually (with one floating holiday) and fully paid Fridays off during August on a pro rata basis.
• Company pension scheme enrollment for long-term financial security.
• One paid day annually dedicated to volunteering for social causes.