---
title: 'Product Manager - Device & Behavior at Oscilar'
canonical: 'https://feeny.ai/job/product-manager-device-behavior-oscilar-remote-rm2k0d8qdeh8'
type: 'job'
last_seen: '2026-09-16'
---

# Product Manager - Device & Behavior at Oscilar

- **Company:** Oscilar
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-16
- **Apply:** https://jobs.ashbyhq.com/oscilar/729a5d3b-9754-4c19-9d75-42e364fe794c

## Job description

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](https://oscilar.com/careers).

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

## About Oscilar

## Company Overview
- **One-liner**: Oscilar provides an AI-native risk decisioning platform that uses agentic AI to help financial institutions manage fraud, credit, onboarding, and AML compliance in real time.
- **Entity Type**: Private (startup stage; funding rounds not publicly disclosed)
- **Headquarters**: Palo Alto, California, USA
- **Founded**: 2021
- **Founders**: Neha Narkhede (CEO) and Sachin Kulkarni (CTO)

## Core Business
- **Primary industry**: Financial technology (fintech) / Risk management / AI
- **Target customers**: Banks, fintechs, credit unions, and digital organizations (B2B, enterprise)
- **Mission**: “Making the internet a safer place for everyone” — empowering businesses to master risk, defeat fraud, and safeguard consumers in the era of AI.

## Products & Services
- **Oscilar AI Risk Decisioning Platform**: A unified, cloud-native platform that leverages agentic AI for detection, decisioning, and resolution across fraud, credit, AML, and onboarding. It processes over 30 billion decisions per year at peak throughput of 120,000+ requests per second with sub-100ms latency. Key components include:
  - **Agent Hub**: A coordinated suite of AI agents (e.g., Workflows, RuleRec, Credit Explainability, Analytics, TestGen, Fraud Disputes, AML L1, SAR, Narratives, Translator, Sanctions, PEP, CTR) trained on each customer’s SOPs and risk context. Agents define policies, score alerts, generate investigation narratives, and learn from analyst feedback.
  - **No-code policy engine**: Risk teams can define and deploy new policies in plain language without SQL or engineering support.
  - **Holistic risk dashboard**: Monitors the entire customer journey — onboarding, login, payments, compliance — in one place.
  - **Explainable decisions & full auditability**: Every decision is transparent and defensible for regulatory scrutiny.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Processes 30B+ decisions per year; 120K+ requests per second; average latency <100ms. Employee count: ~104 (per Built In).
- **Notable Investors/Partners**: Not publicly listed from available sources. Advisors include Xin Ge (ex-CPO at Feedzai), Kevin Moss (ex-Chief Risk Officer at SoFi), Tomas Lobo (ex-Chief Technology & Risk Officer at Afterpay), and Rob Frohwein (co-founder of Kabbage, acquired by American Express).
- **Growth Signals**: Founded by Neha Narkhede (creator of Apache Kafka and co-founder of Confluent, NASDAQ: CFLT). Team built on deep risk experience from Meta, Uber, LinkedIn, Citi, and JPMorganChase. Currently hiring across multiple roles (33 jobs listed on Built In), indicating scaling. Remote-first culture supporting global talent acquisition.

## Competitive Advantages
- **Agentic AI tuned to customer data**: Models are trained on each institution’s own SOPs and risk patterns, retraining in days when patterns shift — not generic benchmarks.
- **Unified platform**: Covers fraud, credit, compliance, and AML in a single system, providing a holistic risk picture that competitors often address with siloed tools.
- **Low-latency, high-throughput architecture**: Proven at 120K+ req/s with sub-100ms latency, built by engineers who scaled 10-billion-requests-per-second systems at Meta.
- **Explainability & audit trails**: Full decision transparency for regulatory compliance, a critical differentiator for financial clients.
- **Feedback loop**: Analyst feedback continuously refines agent recommendations, improving over time.

## Strategic Focus
- **Deepen the Agent Hub**: Continue building and refining specialized AI agents for every risk decision type (fraud, AML, credit, sanctions, etc.).
- **Expand customer base**: Target more banks, fintechs, and digital organizations globally, with recent hires in sales and customer support (including Philippines office).
- **Maintain remote-first culture while scaling**: Leverage distributed talent to grow efficiently.
- **Invest in ML and generative AI**: Use cutting-edge tools to stay ahead of evolving fraud and compliance threats.

## Why Work Here
- **Remote-first culture**: Work from anywhere; company provides home office setup assistance.
- **Cutting-edge technology**: Opportunity to work on AI/ML at scale, tackling complex fraud and financial crime problems.
- **Elite team**: Collaborate with experts from Meta, Google, Uber, LinkedIn, Confluent, Citi, and JPMorganChase.
- **Values-driven**: Customer obsession, radical ownership, efficient growth, one team, bold vision with clear eyes.
- **Benefits**: Competitive salary and equity, unlimited PTO, comprehensive health/dental/vision insurance, regular team events and offsites, professional development opportunities.
- **Mission**: Direct impact on making the internet safer for legitimate customers and enabling financial institutions to grow confidently.

## Sources
1. [oscilar.com](https://oscilar.com) — Product overview, platform features, metrics
2. [oscilar.com/about-us](https://oscilar.com/about-us) — Leadership team, advisors, company origins
3. [oscilar.com/careers](https://oscilar.com/careers) — Culture, values, benefits, remote-first policy
4. [builtin.com](https://builtin.com/company/oscilar) — Employee count, year founded, job listings

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