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Product Manager - Device & Behavior

Oscilar
β€’$185,000 - $250,000β€’Remote

About The Position

At Oscilar, we're building the most advanced AI Risk Decisioningβ„’ 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 β€” vendor-side or in-house
  • Taken a product 0β†’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 β€” 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 β€” 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 β€” 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 β€” 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 β€” 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

Career Resources

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