Senior Product Manager, Identity & Intelligence Platform

Signifyd is a company that empowers businesses to thrive in digital commerce by eliminating fraud and enabling seamless customer experiences. They are seeking a Senior Product Manager to own and evolve their Identity & Intelligence Platform, focusing on device intelligence, identity risk signals, and automation detection.

Responsibilities:

• Own the Identity & Intelligence Platform roadmap, including device intelligence, identity risk signals, session integrity, anomaly detection, and automation or bot classification
• Define how first-party intelligence signals are collected, normalized, evaluated, and reused across products and workflows
• Partner with Engineering and Data Science to ensure intelligence signals and models are production-ready, reliable, and aligned with product outcomes
• Collaborate with Engineering on architectural decisions that balance accuracy, latency, scalability, and cost
• Own the cost efficiency of identity and intelligence signals, including data enrichment spend, infrastructure usage, and long-term unit economics of decisioning
• Make explicit tradeoffs between signal lift, latency, scalability, and cost, driving decisions that reduce unnecessary reliance and operational spend
• Own the strategy for external data enrichment, including when to buy, build, replace, or retire third-party identity and risk signals
• Extend identity intelligence into bot and automation detection, leveraging existing device, session, and behavioral signals
• Work with Risk, Customer Success, Sales, and Product Marketing to translate platform capabilities into clear value narratives and deployable solutions
• Stay current on evolving fraud, bot, and identity attack patterns, and ensure the platform adapts accordingly
• Operate with autonomy and urgency, making sound product tradeoffs in complex, cross-functional environments

Requirements:

• 6+ years of Product Management experience, with significant ownership of platform, infrastructure-adjacent, or ML-driven products
• Experience working closely with Data Science and Engineering teams on signal- or model-centric systems
• Strong ability to translate technical concepts into clear product decisions and business outcomes
• Comfort operating in ambiguous, fast-moving environments with multiple stakeholders
• Excellent written and verbal communication skills across technical and non-technical audiences
• Strong sense of ownership, judgment, and bias toward action
• Experience in fraud, trust and safety, identity, or security domains
• Familiarity with device intelligence, bot detection, session analysis, or risk decisioning systems
• Experience evaluating or integrating third-party data or enrichment services
• Background in scaling foundational capabilities used across multiple products