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Product Manager - Search Relevance & Retrieval

Bloomberg

Bloomberg

Product
New York, NY, USA
Posted on Apr 9, 2026
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.
You will define the strategy and roadmap for how Bloomberg content is indexed, retrieved, and ranked across our unstructured data ecosystem. This includes working closely with engineering and machine learning teams to improve search quality, while ensuring that investments are grounded in user needs and measurable outcomes.
This role places strong emphasis on evaluation, stakeholder engagement, and product clarity translating complex search capabilities into meaningful improvements for end users. You will partner closely with evaluation, product, and domain teams to define success metrics, gather requirements, and ensure that improvements to retrieval and ranking systems translate into better search experiences.
You will also play a key role in enabling AI-driven use cases, including retrieval-augmented generation (RAG), cross-document question answering, and LLM-powered research workflows.
We will trust you to:
  • 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
You will need to have:
  • 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
We’d love to see:
  • 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