Product Manager - Device & Behavior

Posted Yesterday
Hiring Remotely in USA
Remote
185K-250K Annually
Senior level
Artificial Intelligence • Fintech • Software • Financial Services
The Role
Own the strategy, execution, customer success, and go-to-market for Oscilar’s Device and Behavior product. Lead development of SDKs, signal pipelines, behavioral biometrics, agentic identity signals, data networks, foundation-model capabilities, and analyst experiences. Partner with sales and customers to drive adoption, shape product positioning, and deliver a device intelligence and digital identity platform for fraud, onboarding, authentication, and risk decisions.
Summary Generated by Built In

Shape the future of trust in the age of AI
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. If you're passionate about solving complex problems and making the internet safer for everyone, this is your place.

 
Why join us:
  • Mission-driven teams: Work alongside industry veterans from Meta, Uber, Citi, and Confluent, all united by a shared goal to make the digital world safer.

  • Ownership and impact: We believe in extreme ownership. You'll be empowered to take responsibility, move fast, and make decisions that drive our mission forward.

  • Innovate at the cutting edge: Your work will shape how modern finance detects fraud and manages risk.

The Problem:

A user hitting a fintech, marketplace, bank, or crypto platform in 2026 could be a human, an autonomous agent acting on a human's behalf, a bot impersonating either, or a coordinated attacker. Device intelligence and behavioral biometrics were built to answer "is this a real human on a real device." That question is no longer sufficient. Oscilar is building the next generation of it.

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

Skills Required

  • At least 5 years of product management experience.
  • Personally shipped a device intelligence, behavioral biometrics, or session-signal product to production at scale.
  • Taken a product from 0 to general availability and owned go-to-market end to end.
  • Experience developing pitch narratives, participating in account executive deals, running customer alpha programs, and reducing integration time.
  • Credibility with VP Fraud, Heads of Trust and Safety, Authentication or Identity, or CRO buyers.
  • A publicly demonstrated point of view on agentic digital identity.
  • AI-native perspective on foundation models and risk agents consuming features as tools.
  • Technical fluency with SDKs, mobile parity, cold-start telemetry, entropy versus payload, ATT, Play Integrity, and fingerprint stability.
  • Understanding of false-positive rate, precision-recall tradeoffs, and model operating points.
  • Understanding of consent, hashing, and data-network design.
  • At least 8 years of product management experience.
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The Company
HQ: Palo Alto, CA
104 Employees
Year Founded: 2021

What We Do

Oscilar is the leading provider of AI-native risk intelligence for financial institutions. Based in Palo Alto, California, Oscilar powers real-time risk decisioning across fraud, credit, and compliance through a single, unified solution. Our no-code AI Risk Decisioning™ platform leverages agentic AI and advanced signal processing to analyze complex data, detect anomalies, and automate mission-critical decisions with speed and precision. Built by the team behind risk systems at Google, Meta, Uber, Citi, and J.P. Morgan, Oscilar combines deep technical expertise with cloud-native architecture to deliver scalability, transparency, and regulatory-grade performance. Oscilar empowers banks, fintechs, and digital asset services to navigate complex risk landscapes and grow with confidence in an AI-activated world.

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