Engineering Manager

Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies. We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (27K stars on GitHub). We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb ), Nexus Venture Partners (previously invested in Postman , Apollo.io, MinIO , Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle ). We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored. Engineering Manager Fingerprint builds the internet's most accurate device intelligence platform – used by thousands of developers and enterprises to detect fraud, stop account takeovers, and build trust into their products. Our engineering teams sit at the core of that mission: the signals we ship, the models we train, the APIs we maintain, and the data infrastructure we run all directly impact the accuracy and reliability that our customers depend on. We are hiring Engineering Managers across four of our product and platform teams. Each role comes with a different technical domain and team context, but the leadership bar is the same: you own execution, you develop your people, and you stay technically grounded enough to earn the trust of senior engineers. The Teams Smart Signals — You'll lead the team responsible for Fingerprint's fraud and device intelligence signals: Bot Detection, Incognito Detection, suspect score, fraud score, and more. These signals are Fingerprint's primary product differentiator. Every signal you ship directly impacts ARR. As the threat landscape shifts toward agentic AI attacks and telemetry tampering, this team's work has never been more strategically critical. Core APIs — You'll lead the team that builds and scales the API services underpinning Fingerprint's core platform — Identification, Smart Signals, Billing, and more. This is high-stakes infrastructure work: the APIs your team owns are the foundation everything else runs on. You'll work closely with senior engineers on architectural decisions and scaling challenges that directly affect product reliability for enterprise customers. Identification Accuracy — You'll lead a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers responsible for the ML model powering Fingerprint's flagship Identification API. This team owns accuracy, reliability, and continuous improvement of that model — directly impacting the trust enterprise customers place in our platform. If you thrive at the intersection of people leadership and applied ML, this is the role. Data Platform & ML Ops — You'll lead the team that owns Fingerprint's data foundation: the internal data warehouse powering business intelligence and product analytics, and 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 spans two technical disciplines — data infrastructure and ML systems — and requires credibility on both sides. What You'll Do Lead the team. Own 1:1s, performance calibrations, career development, and hiring. Set the bar for code quality, on-call discipline, and delivery. Coach intentionally — especially engineers approaching Staff. Drive execution. Own sprint planning and roadmap delivery. Manage scope, urgency, and quality tradeoffs — know when to ship and when to slow down. Run tight proce