About the job
Bloomberg is seeking a Product Manager to lead search indexing, retrieval & ranking for the Bloomberg Terminal. This role is responsible for the core systems that generate search results across semantic search, natural language search, and AI-powered retrieval experiences.
Responsibilities
Define and communicate a clear product strategy for search indexing, retrieval, and ranking
Partner with stakeholders across research, news, and product teams to understand workflows, gather requirements, and prioritize investments
Work closely with evaluation partners to define success metrics, interpret results, and guide decision-making
Translate user needs and business goals into clear product requirements and roadmaps
Drive improvements in search quality, including relevance, coverage, and timeliness of results
Ensure systems support both traditional search experiences and emerging AI-driven workflows
Balance tradeoffs across user impact, performance, and scalability in collaboration with engineering teams
Communicate progress, insights, and outcomes clearly to stakeholders and leadership
Align cross-functional teams around shared goals while maintaining clear ownership of product direction
Qualifications
Minimum
6+ years of product management experience, ideally in search, data products, or ML-powered applications
Strong product sense with the ability to translate complex systems into user-facing value
Experience defining product requirements and working closely with engineering and data science teams
Comfort working with metrics, experimentation, and evaluation frameworks
Proven ability to manage stakeholders and drive alignment across multiple teams
Excellent communication skills, with the ability to clearly articulate strategy and outcomes
Preferred
Experience with search, ranking, or information retrieval systems
Familiarity with evaluation methodologies for search or AI systems
Exposure to LLMs, retrieval-augmented generation (RAG), or question-answering use cases
Experience working with unstructured data (e.g., documents, news, research content)
Background in financial data, enterprise tools, or research workflows