Senior Product Manager - Identity & Intelligence Platform
At Signifyd, we empower businesses to thrive in digital commerce by eliminating fraud and enabling seamless customer experiences. Our mission is to build trust at every step of the customer journey — from account creation and login through checkout and beyond.
A core pillar of this mission is our Identity & Intelligence Platform: the first-party intelligence layer that allows Signifyd to recognize entities, reason about risk, and detect abuse across sessions, devices, and accounts. This platform powers device intelligence, identity risk signals, bot and automation detection, and selective enrichment with external data — all with durability, scale, and cost efficiency in mind.
Role Overview
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.
Key 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.
What You’ll Work On
While exact initiatives will evolve, this role will typically involve:
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.
Required Qualifications
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.
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.
#LI-Remote
Benefits in our US offices:
Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
Tier 1 (NYC/SF Bay Area/Seattle): $165,000 – $205,000 annually
Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $155,000 – $195,000 annually
Tier 3 (US - All Other): $145,000 – $185,000 annually
Equity: This role is eligible for a stock option grant of 6,000-8,000 stock options, based on the position level and internal compensation guidelines.
Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
About the job
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Senior Product Manager - Identity & Intelligence Platform
At Signifyd, we empower businesses to thrive in digital commerce by eliminating fraud and enabling seamless customer experiences. Our mission is to build trust at every step of the customer journey — from account creation and login through checkout and beyond.
A core pillar of this mission is our Identity & Intelligence Platform: the first-party intelligence layer that allows Signifyd to recognize entities, reason about risk, and detect abuse across sessions, devices, and accounts. This platform powers device intelligence, identity risk signals, bot and automation detection, and selective enrichment with external data — all with durability, scale, and cost efficiency in mind.
Role Overview
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.
Key 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.
What You’ll Work On
While exact initiatives will evolve, this role will typically involve:
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.
Required Qualifications
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.
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.
#LI-Remote
Benefits in our US offices:
Discretionary Time Off Policy (Unlimited!)
401K Match
Stock Options
Annual Performance Bonus or Commissions
Paid Parental Leave (12 weeks)
On-Demand Therapy for all employees & their dependents
Dedicated learning budget through Learnerbly
Health Insurance
Dental Insurance
Vision Insurance
Flexible Spending Account (FSA)
Short Term and Long Term Disability Insurance
Life Insurance
Company Social Events
Signifyd Swag
Compensation:
In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.
Base Salary Ranges by Pay Zone:
Tier 1 (NYC/SF Bay Area/Seattle): $165,000 – $205,000 annually
Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $155,000 – $195,000 annually
Tier 3 (US - All Other): $145,000 – $185,000 annually
Equity: This role is eligible for a stock option grant of 6,000-8,000 stock options, based on the position level and internal compensation guidelines.
Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.
We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.