Role Overview

• Own and evolve Signifyd’s Identity & Intelligence Platform, including device intelligence, identity risk signals, bot and automation detection, and the strategic use of third-party data sources.
• Shape how intelligence signals underpin fraud and account-level products.
• Partner with Engineering, Data Science, Risk, and GTM teams to turn signals and models into scalable, trusted, and economically durable product capabilities.
• Ensure economic efficiency of the platform with scalable signal quality, model performance, and platform cost management.
• Thrive in ambiguity and focus on building foundational, compounding capabilities.

Key Responsibilities

• Own the platform roadmap including device intelligence, identity risk signals, session integrity, anomaly detection, automation, and bot classification.
• Define collection, normalization, evaluation, and reuse of first-party intelligence signals across products and workflows.
• Collaborate with Engineering and Data Science to ensure signals and models are production-ready, reliable, and aligned with product outcomes.
• Participate in architectural decisions balancing accuracy, latency, scalability, and cost.
• Manage cost efficiency including data enrichment spend, infrastructure usage, and long-term economics.
• Make tradeoffs between signal lift, latency, scalability, and cost to reduce operational spend.
• Lead strategy for external data enrichment and third-party identity and risk signal usage.
• Extend intelligence into bot and automation detection.
• Work with Risk, Customer Success, Sales, and Product Marketing to translate capabilities into value narratives and solutions.
• Stay current on fraud, bot, and identity attack patterns and adapt the platform accordingly.
• Operate autonomously making sound product tradeoffs in complex cross-functional environments.

What You’ll Work On

• Advancing device and identity intelligence to complement or replace third-party solutions.
• Defining detection and classification of automated behavior using internal signals.
• Evaluating intelligence and decisioning costs including infrastructure and data spend.
• Assessing ROI and lift of signals to guide build-vs-buy decisions and roadmap priorities.
• Shaping APIs, data contracts, and internal interfaces for scalability and productization.
• Partnering with Engineering and Data Science to move intelligence to reliable, cost-effective production.

Required Qualifications

• 6+ years of Product Management experience with platform, infrastructure-adjacent, or ML-driven products.
• Experience collaborating closely with Data Science and Engineering on signal or model-centric systems.
• Strong ability to translate technical concepts into product decisions and business outcomes.
• Comfortable operating in ambiguous, fast-moving environments with multiple stakeholders.
• Excellent communication skills across technical and non-technical audiences.
• Strong ownership, judgment, and bias toward action.

Nice to Have

• 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.