Why Socure?

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

We are looking for a Senior Technical Product Manager to join our Digital Intelligence team and lead the evolution of our Device Recognition products. In this role, you will own the technology that recognizes devices across sessions, customers, and channels, and binds them to verified identity through Socure's Global Device ID and Identity Graph. You will define how we collect signals through our Web and Mobile SDKs, how we build durable device fingerprints across browsers, operating systems, and device types, and how recognition holds up as platforms tighten their privacy controls.

Reporting directly to the Head of Digital Intelligence Products, you will work at the intersection of device intelligence, data science, and massive-scale engineering. You won't just be writing tickets; you will be deep in the data, writing your own queries, building prototypes, and testing hypotheses before the team commits to building.

This role is open to current product managers and to experienced engineers who want to branch out into product. If you have built device fingerprinting or tracking technology, are comfortable debating methods and trade-offs with engineers & data scientists, and measure your work by outcomes, we want to hear from you.

What You'll Do

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.