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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in product management, particularly in leading teams and developing device intelligence and fraud prevention products. Proficient in balancing technical requirements with commercial outcomes, including adoption, retention, and revenue generation.
Highest-signal resume keywords
Product Management ExperienceDevice Intelligence DevelopmentFraud Prevention ExpertiseAI-Powered Product CapabilitiesTeam Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product StrategyDevice FingerprintingBehavioral Signal DetectionFraud DetectionSDK DevelopmentRisk Signal AnalysisAI Evaluation FrameworksProduct Roadmap DevelopmentCommercial Outcome OwnershipSignal Stability Management
Soft Skills
Cross-Functional CollaborationStrategic VisioningGovernance AlignmentStakeholder EngagementTeam Building
Industry Keywords
Digital IntelligenceBot AbuseAccount TakeoverSynthetic IdentityNetwork RiskPrivacy ComplianceGlobal Product ManagementMarket GovernanceDevice ReputationAI-Assisted Discovery
About the role
Key responsibilities & impact- Set the global vision, strategy, and roadmap for Digital Intelligence across web, mobile, and API products
- Define collection, scoring, and delivery of device, behavioral, agent, and network-risk signals
- Lead the SDK, tag, mobile collection, and API roadmap, including versioning, migration, and deprecation practices
- Guide detection strategy for bot abuse, account takeover, synthetic identity, and new-account fraud
- Advance agent intelligence by distinguishing legitimate automated agents, genuine users, and malicious automation
- Lead a multi-region product management team and align global partners on roadmap priorities, governance, and product standards
- Partner with Engineering, Data Science, Design, Privacy, Legal, and go-to-market teams
- Balance coverage, accuracy, latency, consent, and regulatory requirements across markets
- Own portfolio adoption, retention, attributable revenue, pricing, and packaging
- Use AI-assisted discovery, prototyping, and evaluation practices to improve product decisions and delivery
- Report to the Senior Vice President of Product Management
Requirements
What you’ll need- 10+ years of product management experience
- Experience leading product teams or product leaders
- Experience overseeing or building a device intelligence, device-fingerprinting, or SDK-based signal product at scale
- Experience building device and network-risk capabilities, including device reputation or fingerprinting and IP, proxy, VPN, TOR, connection, or ASN risk signals
- Hands-on product experience with behavioral and device signals, including spoofing, emulator, virtual-machine, or headless-browser detection and signal stability over time
- Product experience in fraud prevention, including bot abuse, account takeover, synthetic identity, or new-account fraud
- Experience defining or evaluating AI-powered product capabilities, including agent or tool-use workflows, evaluation frameworks, guardrails, and human oversight
- Experience working with globally distributed product, engineering, data science, legal/privacy, and go-to-market teams
- Experience owning commercial outcomes such as adoption, retention, revenue, pricing, or packaging
Benefits
Comp & perks- Great compensation package and bonus plan
- Medical, dental, and vision benefits
- Matching 401K
- Flexible work environment; ability to work remote, hybrid, or in-office
- Flexible time off including volunteer time off, vacation, sick time, and 12 paid holidays
- Inclusive and purpose-driven culture
- Disability accommodation support