Bloomberg’s Core Terminal business delivers cross-asset-class data and workflows through a unified platform that connects data, news, analytics, and people. We help financial professionals manage the most critical areas of their business by providing high-quality, reliable data products, mission-critical analytics, and enterprise workflow solutions.

Within this business, Fixed Income is a key strategic priority. As markets grow more complex and data volumes increase, we’re investing heavily in AI and advanced discoverability to remove friction from how clients find, screen, and act on fixed income data.

As a Product Manager on the Fixed Income Discoverability & User Experience team, you’ll focus on how fixed income users actually search, screen, and explore — and you’ll build AI-powered capabilities that help them find the right data, instruments, and analytics faster and with less effort. You will work closely with engineering, data, and go-to-market teams, as well as directly with clients, to solve real discoverability and workflow challenges.

What you'll do:

• Own and articulate a clear vision for AI-driven discoverability and screening in fixed income, including how your products solve concrete client problems and deliver measurable value.
• Deeply understand how different client personas (e.g., portfolio managers, traders, analysts, sales) search, screen, and navigate fixed income data today — where they get stuck, what they can’t find, and what an ideal workflow would look like.
• Translate user research and client feedback into product requirements for:
• Natural language search and question-answering experiences
• Screening and filtering workflows (e.g., finding bonds that match complex criteria, building reusable screens, comparing universes)
• Improved data taxonomies and models that power better relevance, ranking, and recommendations
• Develop and maintain a product roadmap for AI-enabled discoverability and screening, and lead execution through an agile development process.
• Partner closely with engineering and data teams to design and develop capabilities that leverage:

• Large language models and NLP
• Relevance and ranking models
• Knowledge graphs, taxonomies, and data models for fixed income
• Collaborate with internal platform and infrastructure teams to ensure your roadmap aligns with broader firm-wide AI and discoverability strategies.
• Engage with Market Specialists, Sales, and client-facing teams to:

• Run targeted client conversations and usability sessions
• Validate pain points around discoverability, navigation, and screening
• Test and iterate on new AI-powered experiences in front of real users
• Develop go-to-market strategies for new features and workflows
• Define and track success metrics for discoverability and screening (e.g., time-to-answer, search success rate, screen adoption, engagement) and use data to continuously tune and refine your products.
• Communicate product vision, decisions, and trade-offs clearly and regularly to stakeholders through roadmaps, presentations, and written updates.
• Build strong working relationships across engineering, design, data, sales, CTO and marketing — ensuring alignment, surfacing dependencies early, and fostering a collaborative, inclusive product culture.

You'll need to have:

• 6+ years of experience within this field or related industry.
• Strong relationship-building skills and comfort engaging directly with external clients and internal partners.
• A track record of effective cross-functional collaboration, translating stakeholder needs into clear, prioritized product requirements and driving aligned execution with technical partners.
• Experience in fixed income or another complex financial domain, or a demonstrated ability to quickly ramp up on complex capital markets concepts, so you can speak credibly with clients and internal stakeholders.
• Practical understanding of how AI, machine learning, and data modeling can improve search, discoverability, and screening in complex products. You don’t need to be an ML engineer, but you are comfortable partnering closely with technical teams.
• Fluency with data and product metrics — you’re comfortable defining, analyzing, and acting on quantitative signals to improve user outcomes.
• Strong organizational skills and a proactive approach, with the ability to manage multiple workstreams and dependencies in an agile environment.
• Excellent communication skills — you can tell a clear product story and adapt your message for engineers, go-to-market teams, and senior stakeholders.
• Strong presentation skills and comfort representing the product in front of clients, prospects, and senior leadership.

• Hands-on experience working with AI technologies such as NLP, LLMs, recommendations, relevance ranking, or semantic search.
• Experience designing or leveraging data models and taxonomies, especially for financial instruments or reference data.
• A track record of improving discoverability, search, or screening in complex, data-heavy products.
• Ability to understand other teams' business goals and find mutually beneficial, platfrom-aligned solutions.
• Experience building long-term relationships with internal stakeholders and external users, and using those relationships to inform and validate your roadmap.