Senior Product Manager, Identity Graph Platform Products

Responsibilities

Product Strategy Execution for Identity Graph

• Execute the strategy for identity graph products in collaboration with product, engineering, data science, and commercial partners.
• Translate advanced graph capabilities into clear, sellable products with compelling value propositions.
• Establish scalable pricing models, packaging, and usage-based constructs aligned with customer value.

Graph Commercialization and Product Packaging

• Lead commercialization of graph-driven capabilities within platform risk and identity workflows.
• Enable customers to leverage global graph signals and velocities.
• Evolve pricing, documentation, and packaging as graph usage becomes embedded in customer decisioning flows.
• Define how graph-powered capabilities are exposed through APIs, workflows, reports, and notifications.

Competitive and Market Leadership

• Develop strategies to compete with market-leading enhanced due diligence and identity products.
• Position the identity graph as a differentiated, privacy-forward alternative.
• Conduct competitive analysis to inform roadmap, pricing, and packaging decisions.
• Identify future commercial opportunities leveraging global graph data, identity resolution, and cross-product signals.

Go-to-Market Leadership

• Execute and extend go-to-market strategy for graph-powered commercial offerings, including positioning, sales enablement, and launch planning.
• Conduct data proof-of-concepts in collaboration with product and data science teams.
• Partner with Sales, Marketing, and Customer Success to drive adoption, expansion, and revenue growth.
• Define success metrics and track commercial performance after launch.

Cross-Functional Collaboration

• Collaborate with Engineering, Data Science, Finance, Legal, Compliance, and Operations to ensure products are scalable, compliant, and profitable.
• Own execution accountability for identity graph initiatives.

Requirements

• 3–5 years of product management experience with significant ownership of the product lifecycle for revenue-impacting products.
• Experience with go-to-market execution for B2B or B2B2C SaaS products.
• Experience in early data product development, including successful data proof-of-concepts and collaboration with data science teams.
• Ability to translate complex technical capabilities into clear customer value and revenue-generating products.
• Demonstrated success working cross-functionally with Engineering, Data Science, Sales, Finance, Legal, and Compliance.
• Excellent communication skills, including the ability to influence executive stakeholders and external customers.

Nice-to-Haves

• Experience defining subscription, usage-based, per-entity, or hybrid pricing models for data, platform, or API-driven products.
• Experience in identity, fraud prevention, risk, compliance, data platforms, or adjacent regulated domains.
• Experience commercializing 0-to-1 products from early discovery through launch.
• Background in early-stage or platform incubation contexts within growth-stage or scaling companies.
• Experience working with providers such as LexisNexis, Experian, or Equifax.
• Advanced degree.
• Experience launching products within configurable workflow or decisioning platforms.