At a Glance
- Tasks: Lead a team to develop cutting-edge fraud detection signals and ensure high-quality delivery.
- Company: Join a leading tech company focused on security and innovation.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Collaborate across teams and shape the future of fraud detection.
- Why this job: Make a real impact in the fight against fraud with innovative technology.
- Qualifications: 4+ years of engineering management experience and strong technical skills.
The predicted salary is between 120000 - 165000 £ per year.
Fingerprint’s Smart Signals team is the front line of our fraud and device intelligence capabilities. We develop signals such as Bot Detection, Browser Tampering Detection, Incognito Detection, suspect scores, fraud scores, and more, that enable developers to build secure, fraud‑resistant applications. As the fraud landscape shifts toward agentic AI attacks and telemetry tampering, this work has become strategically critical. Earn the opportunity to directly influence product differentiation and ARR through every signal you ship.
What You’ll Do
- Lead the team. Own 1:1s, performance calibrations, career development, hiring, and set the bar for code quality, on‑call discipline, and delivery.
- Drive execution. Own sprint planning and roadmap delivery; manage scope, urgency, and quality trade‑offs; run tight processes for planning, incident response, on‑call rotations, and post‑mortems.
- Stay technically grounded. Maintain sufficient depth in the signal stack to review designs, challenge architecture decisions, and surface risks before incidents occur; 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 trade‑offs clearly to PMs and leadership.
- Shape signal strategy. Partner with Engineering 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, owning performance management, career conversations, and hiring—not just running stand‑ups.
- Technical depth in backend systems: Built or operated production back‑end services at scale; 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; able to diagnose why a team slips and take corrective action.
- Cross‑functional collaboration: Direct experience working with PMs and research or data partners to translate requirements into executable engineering plans; proactively manage dependencies.
Nice‑to‑Have
- Fraud detection or security signals familiarity: Some exposure to fraud, risk, or device intelligence systems—enough to understand false positives and false negatives—where curiosity and rapid ramp‑up are valued.
- ML‑in‑production exposure: Worked alongside ML engineers or data scientists shipping models to production and understands operationalization challenges such as model drift, serving infrastructure, and rollback.
- High‑growth B2B SaaS or API‑first company experience.
- Real‑time or latency‑sensitive systems: Experience managing engineers working on signal pipelines, edge computation, or systems where 95th/99th percentile latency is a product quality metric.
Compensation Range
For U.S.‑based employees, the cash compensation range for this role is $159,000 – $215,000. This range is based on function, level, and geographic location. Pay packages may vary based on experience, skills, certifications, and market conditions.
Engineering Manager, Smart Signals employer: Fingerprint
At Fingerprint, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As an Engineering Manager in our Smart Signals team, you will have the opportunity to lead a talented group of engineers while directly influencing product differentiation in a rapidly evolving field. We offer competitive compensation, robust career development opportunities, and a commitment to maintaining a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager, Smart Signals
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to engineering management. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your leadership skills during interviews. Share specific examples of how you’ve managed teams, driven projects, and tackled challenges. Numbers and outcomes speak volumes!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager, Smart Signals
Some tips for your application 🫡
Show Your Leadership Skills:When writing your application, make sure to highlight your experience in managing teams. We want to see how you've led 1:1s, performance calibrations, and career development. Concrete examples of your leadership style will help us understand how you can fit into our Smart Signals team.
Get Technical:Don’t shy away from showcasing your technical depth! We’re looking for someone who can review code and challenge architecture decisions. Include specific projects where you’ve built or operated production back-end services at scale to demonstrate your expertise.
Quantify Your Achievements:We love numbers! When discussing your delivery track record, provide concrete examples with outcomes and metrics. This helps us see the impact you've made in previous roles and how you can contribute to our team's success.
Collaborate Across Functions:Highlight your experience working with PMs and other teams. We value cross-functional collaboration, so share examples of how you've translated requirements into executable engineering plans. This will show us that you can effectively manage dependencies and communicate trade-offs.
How to prepare for a job interview at Fingerprint
✨Know Your Signals
Familiarise yourself with the specific signals mentioned in the job description, like Bot Detection and Browser Tampering Detection. Be ready to discuss how these technologies work and their importance in fraud prevention. This shows you’re not just interested in the role but also understand its core functions.
✨Showcase Your Leadership Style
Prepare examples that highlight your engineering management experience. Discuss how you've handled performance management, career development, and hiring in the past. Use concrete outcomes to illustrate your leadership style and how it has positively impacted your team.
✨Demonstrate Technical Depth
Brush up on your backend systems knowledge. Be prepared to review code snippets or architectural decisions during the interview. This will help you earn credibility with the interviewers, especially if they are senior engineers looking for someone who can challenge decisions effectively.
✨Cross-Functional Collaboration
Think of instances where you’ve worked closely with PMs or data partners. Be ready to explain how you translated requirements into actionable plans and managed dependencies. This will show that you can coordinate across teams, which is crucial for the Smart Signals role.
