Senior Product Manager, Signifyd

• 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

Desirable

• We’re looking for a Senior Product Manager to 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
• This role is responsible for shaping how Signifyd builds, evaluates, and productizes intelligence signals that underpin multiple fraud and account-level products
• You’ll partner closely with Engineering, Data Science, Risk, and GTM teams to turn signals and models into scalable, trusted, and economically durable product capabilities
• This role carries accountability for the economic efficiency of the Identity & Intelligence Platform, ensuring that signal quality, model performance, and platform costs scale sustainably as usage grows
• Cost efficiency is an outcome of strong platform decisions, not a separate track
• This is a senior, high-ownership role suited for a PM who thrives in ambiguity, enjoys platform-level thinking, and is motivated by building foundational capabilities that compound over time
• 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
• Advancing first-party device and identity intelligence to replace or complement third-party solutions
• Defining how Signifyd detects and classifies automated or non-human behavior using internal signals
• Evaluating per-decision and per-event cost of intelligence and decisioning, including infrastructure usage, data retention, and enrichment spend
• Assessing the ROI and marginal lift of identity, device, and enrichment signals to inform build-vs-buy decisions and roadmap priorities
• Shaping APIs, data contracts, and internal interfaces to enable reuse, scalability, and future productization of intelligence capabilities
• Partnering with Engineering and Data Science to move intelligence from experimentation into reliable, cost-effective production use