Product Manager - Device & Behavior

Oscilar

1d • $185,000 - $250,000 • Remote

About The Position

At Oscilar, we're building the most advanced AI Risk Decisioning™ Platform. Banks, fintechs, and digitally native organizations rely on us to manage their fraud, credit, and compliance risk with the power of AI. We are looking for a Product Manager to shape the strategy, own the Go-To-Market (GTM), and drive adoption for the next generation of digital identity at Oscilar. This role will focus on distinguishing bots, humans, agents, and attackers in the first 300ms of a session and explaining those decisions to analysts, auditors, and regulators. The ideal candidate will have a strong understanding of device intelligence, behavioral biometrics, and AI-native product development.

Requirements

• 5+ years PM experience, 8+ preferred
• Personally shipped a device intelligence, behavioral biometrics, or session-signal product to production at scale — vendor-side or in-house
• Taken a product 0→GA and owned GTM end to end: pitch narrative, sitting in AE deals, alpha with fewer than 10 customers, integration time cut meaningfully
• Buyer credibility with VP Fraud, Head of T&S, Head of Auth or Identity, or CRO — can reframe the "commodity" objection in five minutes
• A real point of view on agentic digital identity, publicly demonstrated (blog, talk, essay, or shipped feature)
• AI-native — a view on moving from handcrafted features to a foundation-model program, and on how risk agents consume features as tools
• SDK and technical fluency: mobile parity, cold-start telemetry, entropy vs. payload, ATT and Play Integrity, fingerprint stability under browser hardening
• Understands FPR and precision-recall tradeoffs and why the operating point matters more than AUC
• Data-network instincts — consent, hashing, network-effect design

Nice To Haves

• Cold customer to first signal in a day.
• High performance, resilient to poor networks, fully observable
• Behavioral biometrics, anomaly scores, coached-fraud and APP-scam detection, headless-browser and agent-traffic detection
• Distinguishing authorized agents from adversarial bots, with consent, delegation, and provenance signals
• Cross-customer signal strategy, consortium data, consent and hashing design
• Self-supervised models on session sequences, consumed by our risk agents as tools
• How fraud strategists read, drill into, and override TrustScores
• Killchain patterns and red-teaming

Responsibilities

• The D&B product strategy, operations, execution, and customer success
• The model layer that turns raw signals into features our fraud and onboarding agents consume as tools
• The analyst experience and operations that turn those signals into decisions inside customer workflows
• The D&B data network and the model program
• GTM for the pillar — you'll sit in customer deals with the AE, train SEs, and close the loop from strategy to adoption to execution

Benefits

• Competitive salary and 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 PTO policy
• AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product
• Family-Friendly environment; Regular team events and offsites
• Unparalleled learning and professional development opportunities
• Making the internet safer by protecting online transactions

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed