Engineering Manager, Smart Signals

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, Smart Signals Fingerprint's Smart Signals team is the front line of our fraud and device intelligence capabilities. We produce the signals — Bot Detection, Browser tampering detection, Incognito Detection, suspect score, fraud score and much more — that developers use to build secure, fraud-resistant applications. As the fraud landscape shifts toward agentic AI attacks and telemetry tampering, this team's work has never been more strategically critical. Smart Signals is key to Fingerprint's primary product differentiation - Every new signal you ship directly impacts ARR. We are hiring a **Smart Signals Engineering Manager** to own the day-to-day execution, people leadership, and technical delivery of the Smart Signals team. 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 processes: planning, incident response, on-call rotations, postmortems. Stay technically grounded. Maintain enough depth in the signals stack to review designs, challenge architectural decisions, and surface risks before they become incidents. Partner with ML Engineers on signal pipelines and model deployment. Coordinate across teams. Represent Smart Signals in technical discussions across Engineering. Manage cross-team dependencies proactively and communicate tradeoffs clearly to PMs and leadership. Shape signal strategy. Partner with Eng Leadership and Product on roadmap prioritization. Translate research findings into executable engineering plans. Contribute to detection strategy as the threat landscape evolves. Who You Are Required Engineering management experience: 4+ years managing a team of 8–10 engineers. You have owned performance management, career conversations, and hiring — not just run standups. Technical depth in backend systems: You have built or operated production backend services at scale. You can review code, challenge architecture decisions, and earn credibility with senior engineers through substance. Delivery track record: Concrete examples — with outcomes and numbers — of quarters where your team shipped reliably. You can diagnose why a team slips and what you specifically did about it. Cross-functional collaboration: Direct experience working with PMs and research or data partners to translate requirements into executable engineering plans. You manage dependencies proactively. Nice-to-Have Fraud detection or security signals familiarity: Some exposure to fraud, risk, or device intelligence systems — enough to understand what false positives and false negatives mean for product quality. Deep expertise is not required; curi ... (truncated, view full listing at source)