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Fingerprint is hiring Engineering Managers to lead cross-functional teams across four product and platform domains. The company builds the internet's most accurate device intelligence platform used by thousands of developers and enterprises to detect fraud, prevent account takeovers, and build trust. With $77M in funding from top-tier VCs (Craft Ventures, Nexus Venture Partners, Uncorrelated Ventures), Fingerprint operates as a globally dispersed, 100% remote company with a strong open-source focus (FingerprintJS has 27K GitHub stars).
Two primary team opportunities are highlighted:
**Identification Accuracy Team**: Lead a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers responsible for the ML model powering Fingerprint's flagship Identification API. Own accuracy, reliability, and continuous improvement of the model that directly impacts enterprise customer trust. This role sits at the intersection of people leadership and applied ML.
**Data Platform & ML Ops Team**: Lead the team owning Fingerprint's data foundation—the internal data warehouse powering business intelligence and product analytics, plus the full ML Ops lifecycle that turns raw signals into production models. Your team's reliability and scalability directly enables the Identification and Smart Signals products. This role requires credibility across data infrastructure and ML systems.
**Core Responsibilities**:
- Own 1:1s, performance calibrations, career development, and hiring
- Set the bar for code quality, on-call discipline, and delivery
- Coach engineers intentionally, especially those approaching Staff level
- Own sprint planning and roadmap delivery
- Manage scope, urgency, and quality tradeoffs
- Stay technically grounded enough to earn the trust of senior engineers
The leadership bar is consistent across roles: own execution, develop your people, and maintain technical credibility. You'll work with a globally distributed team in a company with strong engineering culture and a mission-driven focus on fraud detection and platform trust.
