Senior Product Manager, Identity Products

Socure

. Own the roadmap, definition, and launch of proactive identity notification products from beta through general availability .

Posted 10/5/2026full-timeUnited StatesSenior💰 $179,000 - $210,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on identity verification and data products, including the ability to define KPIs, manage data sources, and lead cross-functional teams. Proficient in SQL and analytics, with a strong understanding of APIs and event-driven architectures to drive product success.

Highest-signal resume keywords

Product ManagementIdentity VerificationSQL ProficiencyCross-Functional CollaborationKPI Definition and Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap DevelopmentData Evaluation and AcquisitionTest Design for Incremental LiftAPIs UnderstandingMeasurement MethodologyLicensing KnowledgeMarket Launch ExperienceSubscription Pricing StrategyEntity ResolutionRecord-Linkage Systems

Soft Skills

Customer EngagementComplex Problem SolvingTechnical Communication

Tools & Technologies

Analytics ToolingDatabases

Industry Keywords

GLBAFCRAFraud PreventionData ProductsML-Driven Products

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Own the roadmap, definition, and launch of proactive identity notification products from beta through general availability
Define the customer-facing event contract, notification contents, lifecycle semantics, and consumption model
Design a systematic customer feedback loop
Define gaps in data coverage and requirements for candidate data sources
Run hypothesis-driven evaluations measuring incremental lift and make buy, build, or walk-away decisions
Specify licensing, retention, and derivative-use terms needed by the product
Manage data-source KPIs, renegotiation decisions, and source retirement
Define and instrument KPIs including coverage, precision, and recency
Build internal benchmarking independent of customer-reported feedback
Set KPI targets using competitive benchmarking and customer research
Quantify subscriber value to inform pricing and positioning
Use SQL and analytics tooling to interrogate data
Partner with platform engineering on identity-signal resolution, merging, publication, and architectural tradeoffs
Shape a reusable notification mechanism for future event types
Balance latency, cost, and refresh cadence against customer value
Define subscription pricing, packaging, and commercial terms
Recruit and work with early adopters and design partners
Manage beta and GA phases and coordinate cross-functional readiness and testing
Build positioning, marketing plans, and sales enablement with Product Marketing
Serve as the field's internal subject matter expert
Research competitive performance, customer acceptance thresholds, and risks of incorrect high-stakes identity signals

Requirements

What you’ll need

5+ years in product management
Preferably experience in identity verification, fraud prevention, data products, or other data- and ML-driven products
Demonstrated experience evaluating, acquiring, and operationalizing acquired data
Experience designing tests that isolate incremental lift and making source selection decisions
Strong understanding of APIs, SQL, databases, event-driven architectures, and product architecture
Comfortable writing queries and defining measurement methodology, including precision, recall, and coverage benchmarking
Experience serving as the product voice in data or technology vendor negotiations
Knowledge of licensing, retention, and derivative-use terms
Experience taking a product to market, including pricing, packaging, beta programs, and launch
Ability to balance technical complexity, customer needs, regulatory constraints, and business impact
Experience working directly with customers, especially in complex or high-stakes environments
Ability to explain complex technical and data concepts to technical and non-technical audiences, including executives
Proven cross-functional collaboration with Engineering, Data Science, Legal, and go-to-market teams
Familiarity with GLBA and FCRA preferred
Experience with entity resolution, identity graphs, or record-linkage systems preferred
Experience building a subscription or usage-based data product from zero to first revenue preferred

Benefits

Comp & perks

Equity
Annual bonus or commission plan
Benefits package