Responsibilities

Own the Device Recognition Roadmap: Drive the end-to-end product lifecycle for Device Recognition and the Global Device ID, improving recognition accuracy, persistence over time, and linking of devices across customers. You will own priorities, scope, and release trade-offs.
Define Signal Collection: Partner with Engineering to define, prioritize, and deliver signal collection across our Web, iOS, and Android SDKs. You will own the trade-offs between signal richness, SDK footprint, performance, and privacy on each platform.
Navigate Platform Nuances: Track and respond to changes across browsers, operating systems, and device types, including privacy features such as tracking prevention, storage partitioning, fingerprinting protections, and app tracking restrictions that affect recognition.
Get Your Hands Dirty: Write your own SQL, analyze signal stability and distributions, and build prototypes to validate ideas before engineering invests in them.
Data Science Partnership: Work hand-in-hand with Data Scientists on the matching and linking logic behind device recognition. Together with Data Science and Engineering, you will define acceptance criteria for recognition performance (e.g., match rate, false merge and false split rates) and track them in production.
Continuous Discovery & Experimentation: Utilize prototyping and experimentation to de-risk solutions before building. You will validate hypotheses about signal stability, spoofing, emulators, and anti-detect browsers through data analysis and pilot programs.
Customer Evaluation: Define how customers evaluate and calibrate Device Recognition, including POCs against competitors.
Cross-Suite Integration: Engage with internal product teams to ensure Device Recognition integrates seamlessly with Behavioral Analytics, the broader Digital Intelligence suite, and other Socure Products (RiskOS, Document Verification, etc...) to provide a unified risk score to our clients.
Go-to-Market Strategy: Partner with Product Marketing and Sales to help drive adoption and usage, create technical documentation, and evangelize the product to clients in Fintech, E-commerce, and Gaming.
Support Wider Digital Intelligence Initiatives: Provide product expertise and support for adjacent Digital Intelligence products and critical initiatives, ensuring resource alignment with the highest company priorities.
Experience: 5+ years of Product Management or Software Engineering experience, with at least 2+ years in a highly technical domain (Device Intelligence, Fraud Prevention, Identity, Cybersecurity, or AdTech). Engineers moving into product are welcome; tell us about the products you shaped.
Device Fingerprinting & Tracking: Hands-on experience building or managing device fingerprinting, device recognition, or tracking technology. You understand how browser, hardware, and network attributes combine into a device identifier, and where each one breaks down.

Senior Technical Product Manager, Recognition at Socure · LumiJobs

Senior Technical Product Manager, Recognition

Responsibilities

Qualification

Preferred

Company

Socure

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