We are looking for an experienced Technical Product Manager to own and evolve the Discover Marketplace platform, with a focus on advanced search capabilities (Search 2.0) and data product discovery. This role combines strong product management skills with a deep technical understanding of large language model (LLM) search, vector databases, metadata enrichment, and enterprise data governance. You will define the product vision, strategy, and roadmap to enable a world-class data marketplace that delivers faster, more relevant, and context-aware search experiences to our global user community.
What will you do?
- Own the product lifecycle for Discover Marketplace Search and related capabilities, from strategy through delivery, adoption, and continuous improvement.
- Define a clear product vision, roadmap, and success metrics aligned with enterprise data strategy and stakeholder needs.
- Translate complex business requirements into actionable technical product specifications for engineering teams, including data ingestion pipelines, LLM enrichment agents, and hybrid (keyword + vector) search flows.
- Collaborate with architecture, engineering, UX, and data governance teams to design solutions that leverage semantic search, taxonomy-driven metadata enrichment, and retrieval-augmented generation.
- Prioritize and manage the product backlog, ensuring maximum business value and alignment with Discover’s roadmap.
- Lead continuous product discovery to understand user needs, uncover friction points, and translate findings into product enhancements.
- Drive release planning and execution, including go-to-market strategy, enablement materials, and stakeholder communications.
- Monitor and optimize total cost of ownership (TCO), balancing performance, scalability, and operational efficiency.
- Ensure compliance with data governance, security, and regulatory requirements for enterprise data search solutions.
- Use a metrics-driven approach to measure adoption, search relevance, and user satisfaction, adjusting strategy accordingly.
- Serve as the primary bridge between technical teams and business stakeholders, ensuring clarity, transparency, and alignment on priorities.
Qualifications, Skills & Experience Required
- Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or related field
- 7+ years of product management experience in enterprise data platforms, search systems, or AI/ML-powered products
- Proven ability to work closely with technical teams on search architecture, LLM/vector database integration, and metadata-driven enrichment
- Strong understanding of semantic search, natural language processing (NLP), and hybrid search models
- Experience with enterprise data governance tools (e.g., Collibra), data cataloging, and metadata management
- Familiarity with cloud platforms (AWS preferred) and distributed data processing frameworks
- Excellent communication skills to influence stakeholders and lead cross-functional initiatives
- Strong analytical skills for assessing product performance, user engagement, and operational efficiency
- Proficiency with agile methodologies, backlog prioritization, and release management
Nice to have
- Experience in LLM model evaluation, vector search tuning, and embedding optimization
- Familiarity with enterprise-scale search engines (OpenSearch, Elasticsearch) and vector stores (Pinecone, Weaviate, Milvus)
- Background in retrieval-augmented generation (RAG) and multi-modal search integration
- Understanding of eVOC taxonomies and enterprise terminology management
- Hands-on experience with data engineering pipelines, Airflow, and API integrations
- Knowledge of enterprise compliance, data privacy, and security best practices
What we offer
- Exciting work in a great team, global projects, international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
- Pension and health insurance contributions
- Internal reward system plus referral programme
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
- Vodafone, Raiffeisen Bank, Foodora, and Mall.cz discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage, showers, refreshments, massage chairs, library, music corner
- Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Applied Engineering, Benefits Administration, Business Compliance, Data Governance, Integrity Management, IT Operation, IT Performance Management, Management Process, Management System Development, Product Lifecycle, Product Management, Product Roadmap, Product Strategies, Requirements Management, Roadmapping, Software Product Management, Stakeholder Engagement, Stakeholder Relationship Management, Technical Management
