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Key skills for this role
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.
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.
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
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About Oscilar Oscilar is building the AI Risk DecisioningTM platform for banks and fintechs. Our platform enables financial institutions to manage fraud, credit risk, compliance, and onboarding decisions in real time usi
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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
AI risk platform serving banks, fintechs, credit unions, and organizations with fraud, credit, onboarding, and compliance tools.
Visit company websiteJobs and hiring trendsUSD 185000-250000 yearly / year
Full-time
Senior · 5+ years experience
Remote
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