Hiring: Senior Product Manager, Noetica Financial Services Company: Thomson Reuters Location: New York, NY Job Posted Time: 2026-09-09 17:58:15 Employment Type: Full-time (Hybrid Work Model) Target Skills & Keywords : Product Management, B2B Data & Analytics, Fintech, Financial Services, Credit Risk, Deal Structuring, Capital Markets, Private Equity, Product Strategy & Roadmap, Market Entry, Data-Intensive Products, Company Master Data Integration, Content Sourcing, Pricing & Packaging, Go-to-Market (GTM), Stakeholder Communication Experience: - 5+ years of product management experience in a B2B data, analytics, or fintech environment - Proven track record of building products for sophisticated financial or professional services customers - Demonstrated success in opening new markets or launching new product lines, not just iterating on existing ones - Experience with data-intensive products, including ingesting, structuring, and surfacing large datasets to create analytical value Required Skills: - Ability to define and own product vision and roadmap for a new market entry - Deep understanding of how financial institutions use deal-term data for credit risk assessment, loan structuring, and investment decisions - Fluency in the language of financial services—credit risk, deal structuring, capital markets, or private equity - Strong commercial instincts, with pricing, packaging, and GTM treated as core parts of the product - Clear, confident communication with both technical teams and senior business stakeholders - Collaboration with engineering, go-to-market, and subject matter experts to deliver dedicated Financial Services features (term analytics, company data integrations, and persona-specific data/UX requirements) Qualifications: - Bachelor’s degree in Business, Finance, Computer Science, or equivalent experience - Genuine curiosity about how financial services practitioners work - Ability to translate customer signals from fund managers, credit managers, and private equity firms into a focused, deliverable plan - Experience partnering with data and engineering teams on company master data integration, content sourcing, and technical foundations to serve customers at scale Compensation: Not specified in the job posting. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!