Description & Requirements
- Define and communicate the multi-year product vision and roadmap for Company Financials applications and shared front-end capabilities
- Own prioritization for the front-end Engineering team, balancing new client workflows, platform investment, existing application health, mandatory migrations, and operational resilience
- Conduct structured discovery with clients and internal users, identifying workflow problems that are valuable, frequent, and appropriate for Bloomberg to solve
- Translate client needs into clear product outcomes, requirements, priorities, and measurable success criteria
- Partner with Bloomberg’s central AI Product and Engineering teams to integrate Company Financials data into Bloomberg’s AI-powered search, answer, and workflow experience
- Determine what structured data, metadata, context, history, and provenance an AI-enabled workflow requires to provide useful and trustworthy results
- Define expectations for answer quality, grounding, citations, explainability, ambiguity handling, failure states, and evaluation of company financials data within Bloomberg's AI solutions
- Collaborate with other Product Managers in the team to ensure their product strategies are represented coherently in Bloomberg’s applications
- Define launch and adoption plans, ensuring new capabilities become part of clients’ established workflows
- Measure product performance through indicators such as adoption, workflow completion, time saved, answer quality, client trust, reliability, and cost to serve
- Communicate product strategy, progress, decisions, risks, and outcomes clearly to senior leaders and cross-functional stakeholders
- 5+ years of product-management experience, including responsibility for complex user-facing, enterprise, data, or workflow products
- A practical understanding of how AI-enabled products use data and context, including concepts such as grounding, retrieval, evaluation, reliability, provenance, and failure handling
- Experience balancing the needs of specific user workflows with the development of reusable product or platform capabilities
- The technical fluency to engage credibly in discussions about front-end architecture, data dependencies, system integration, scalability, and AI product trade-offs
- Proven experience operating in complex, cross-functional environments involving Product, Data, Engineering, AI, and domain specialists
- Comfort operating under ambiguity and creating structure where scope, ownership, or success criteria are still evolving
- Hands-on experience analyzing companies or building and maintaining company financial models
- Experience developing products for equity analysts, credit analysts, portfolio managers, investment bankers, or other financially sophisticated users
- Experience with AI-enabled search, answer, research, or multi-step workflow products that depend on trusted structured data
- A degree in Finance, Economics, Accounting, Computer Science, Engineering, or a related discipline; CFA or an equivalent financial qualification is a plus
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Product Manager - Company Financials Applications & AI Workflows in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in London where innovation and collaboration thrive. As a Senior Physical Security Technology Specialist, you will benefit from a culture that prioritises professional growth, with opportunities to lead impactful projects across the EMEA region while working alongside a team of dedicated security professionals. With a commitment to employee development and a focus on cutting-edge technology, Bloomberg provides a rewarding career path for those looking to make a meaningful impact in the security industry.