Product Manager – Device & Behavior

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the D&B product strategy, operations, implementation, and customer satisfaction.

• Manage the model layer that transforms raw signals into features utilized by fraud and onboarding teams.

• Oversee the analyst experience and operations that convert signals into actionable decisions within customer workflows.

• Direct the D&B data network and model program.

• Lead the go-to-market (GTM) strategy for the pillar, which includes engaging in customer deals alongside the Account Executive, training Sales Engineers, and linking strategy, adoption, and execution.

• Develop the D&B SDK for iOS, Android, and web platforms.

• Create a high-performance, resilient, and fully observable signal pipeline.

• Design passive telemetry models for behavioral biometrics, anomaly scoring, coached fraud detection, APP-scam identification, and detection of headless browsers and agent traffic.

• Establish the agentic-identity signal surface to differentiate authorized agents from malicious bots.

• Advance the D&B data network, including strategies for cross-customer signals, consortium data, consent frameworks, and hashing designs.

• Spearhead a foundation-model program that leverages self-supervised models on session sequences.

• Craft the analyst signal experience for interpreting, drilling down into, and adjusting TrustScores.

• Analyze attacker ecosystems, killchain patterns, and conduct red-teaming exercises.

⛳️ Requirements

• 5+ years of product management experience; 8+ years preferred.

• Successfully launched a device intelligence, behavioral biometrics, or session-signal product to production at scale, either on the vendor side or in-house.

• Guided a product from inception to general availability (0→GA) and managed the GTM process comprehensively, including pitch narratives, AE deals, and alpha testing with fewer than 10 customers, while significantly reducing integration time.

• Established credibility with buyers such as VP of Fraud, Head of Trust & Safety, Head of Authentication or Identity, or Chief Revenue Officer.

• Publicly shared a perspective on agentic digital identity through a blog post, presentation, essay, or delivered feature.

• Possess an AI-native outlook on transitioning from handcrafted features to a foundation-model program and understanding how risk agents utilize features as tools.

• Demonstrated SDK and technical knowledge: including mobile parity, cold-start telemetry, entropy vs. payload, App Tracking Transparency (ATT), and Play Integrity, alongside fingerprint stability amid browser hardening.

• Comprehension of false positive rates (FPR) and precision-recall tradeoffs, emphasizing why the operating point is more critical than AUC.

• Instincts related to data networking, including consent, hashing, and network-effect design.

🏝️ Benefits

• Equity packages.

• 401k plan.

• Remote-first culture — work from anywhere.

• 100% employer-covered comprehensive health, dental, and vision insurance with a top-tier plan for you and your dependents (US).

• Unlimited paid time off policy.

• Regular team events and offsite gatherings.

• Exceptional learning and professional development opportunities.