Product Manager - Device & Behavior

Every risk decision — auth, fraud, onboarding, mule detection, AML — now depends on distinguishing bot, human, agentic, and attacker in the first 300ms of a session, and explaining that decision to an analyst, an auditor, and a regulator.

The engineering and R&D team tackling this at Oscilar is the deepest in the industry. We're now hiring the first product lead to shape the strategy, own the GTM, and drive adoption for the next generation of digital identity at Oscilar.

What You'll Own:

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

What You'll Build:

D&B SDK (iOS, Android, web) — passive, cold-start friendly, privacy-scoped under ATT and Play Integrity. Cold customer to first signal in a day.

Signal pipeline — high performance, resilient to poor networks, fully observable

Passive telemetry model layer — behavioral biometrics, anomaly scores, coached-fraud and APP-scam detection, headless-browser and agent-traffic detection

Agentic-identity signal surface — distinguishing authorized agents from adversarial bots, with consent, delegation, and provenance signals

D&B data network — cross-customer signal strategy, consortium data, consent and hashing design

Foundation-model program — self-supervised models on session sequences, consumed by our risk agents as tools

Analyst signal experience — how fraud strategists read, drill into, and override TrustScores

Attacker ecosystem mapping — killchain patterns and red-teaming

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

Benefits

Compensation: Competitive salary and equity packages, including a 401k plan

Flexibility: Remote-first culture — work from anywhere

Health: 100% Employer covered comprehensive health, dental, and vision insurance with a top tier plan for you and your dependents (US)

Balance: Unlimited PTO policy

Technical: AI First company; both Co-Founders are engineers at heart; and over 50% of the company is Engineering and Product

Culture: Family-Friendly environment; Regular team events and offsites

Development: Unparalleled learning and professional development opportunities

Impact: Making the internet safer by protecting online transactions