About this role
Job title: Engineering Manager
About the Role 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.
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 your team's stack to review designs, challenge architectural decisions, and surface risks before they become incidents. Earn IC trust through substance, not just title.
- Coordinate across teams. Represent your team in technical discussions across Engineering. Manage cross-team dependencies proactively and communicate tradeoffs clearly to PMs and leadership.
- Shape your team's strategy. Partner with Engineering Leadership and Product on roadmap prioritization. Translate technical constraints and opportunities into executable plans that move the business forward.
What We're Looking For
- Required 2–5+ years of engineering management experience, with direct ownership of performance management, career development, and hiring — not just running standups
- Experience managing teams of 4–10 engineers in a fast-paced, iterative environment
- Technical depth in your team's domain: you can review designs, challenge architectural decisions, and earn credibility with senior engineers through substance
- A delivery track record — concrete examples of quarters where your team shipped reliably, and what you specifically did when they didn't
- Strong cross-functional communication: you translate technical constraints into language PMs, leadership, and other stakeholders can act on
Nice to Have
- Experience in a high-growth B2B SaaS or API-first company
- Familiarity with fraud detection, identity, device intelligence, or trust & safety domains
- ML-in-production exposure: you've worked alongside ML engineers or data scientists shipping models and understand the operationalization challenges at a high level
- Experience with data infrastructure, ML systems, or both — particularly relevant for Data Platform & ML Ops and Identification Accuracy