Product Manager, AI-Driven Company Screening

Bloomberg; Princeton (NJ); On-site; USD 140,000 - 295,000; Full time

Benefits offered by this job

401(k) + match

Health/Dental/Vision benefits

Bonus potential

Job summary

Bloomberg is seeking a Product Manager for Equity Screening in Princeton to shape next-gen workflows across the Bloomberg Terminal and AI-enabled experiences. You will decompose the screening lifecycle, working with Engineering and Data teams to model data, cache, query, and deliver scalable solutions while guiding migration from legacy systems.

Ideal candidates bring 7+ years in product management around Company Analysis, strong knowledge of company data, and experience with data systems, APIs,

Qualifications

• 7+ years of product management or equivalent experience in Company Analysis.
• Experience with company data, datasets and screening workflows.

Responsibilities

• Define and drive the product strategy for Company Screening across the Bloomberg Terminal, including AI tools.
• Own the product roadmap balancing client needs, commercial priorities, and migration requirements.
• Assess adjacent domains (Funds, Indices) to standardize workflows via reusable components.
• Translate client and business needs into clear product direction and prioritization.
• Partner with Engineering, Data, and Product teams to deliver scalable screening capabilities.
• Ensure screening criteria, results, analytics, and workflows are consistent across interfaces and APIs.
• Define success metrics and measure adoption, engagement, data usage, and business impact.
• Work with Sales, Support, and clients to validate decisions and support migration.

Skills

Product management

Data systems

APIs

Data modeling

Analytics platforms

Large-scale queries

Cross-functional collaboration

Technical fluency

AI-enabled workflows

Financial datasets

Tools

APIs

Job description

Bloomberg is seeking a Product Manager for Equity Screening in Princeton to shape next-gen workflows across the Bloomberg Terminal and AI-enabled experiences. You will decompose the screening lifecycle, working with Engineering and Data teams to model data, cache, query, and deliver scalable solutions while guiding migration from legacy systems.

Ideal candidates bring 7+ years in product management around Company Analysis, strong knowledge of company data, and experience with data systems, APIs,