Product Manager - Device & Behavior
Oscilar.com is hiring a Product Manager - Device & Behavior for a remote role open to applicants in United States. It pays $185k-$250k a year and Level rates it ; you can apply on Oscilar.com.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical AI product manager posting on Level.
- The posting lists this role as remote.
- Tools and skills the posting cites include iOS, Android and Sdk.
- Level lists 20 other open roles at Oscilar.com.
AI in this role
Lead product strategy, GTM, and execution for AI-powered device intelligence and behavioral biometrics risk products.
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
How we rate this
Product Manager - Device & Behavior at Oscilar.com rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $185k
- Typical AI product manager job
- $178k
This posting starts close to the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where fraud detection was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where behavioral biometrics was part of your work. What did you do?
- Walk me through how you've used iOS in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Product Management, Fraud Detection, Go To Market, Behavioral Biometrics, and iOS. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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