Engineering Manager

Who you are

• Minimum of 2 years of experience leading data engineering, ML engineering, or platform teams in an agile environment
• At least 5 years of professional experience in data engineering, ML engineering, or adjacent software engineering, particularly within SaaS. Hands-on experience in both data infrastructure and ML systems is a must — you don't need to be an expert in both, but you should be technically credible on both sides of the house
• Strong technical background across data infrastructure and ML systems
• Experience managing engineers across multiple technical disciplines
• Proven ability to lead teams shipping high-reliability data products that prioritize quality and user impact
• Demonstrated success driving change and innovation in fast-paced, scaling environments
• Experience leading teams in a startup or high-growth environment
• Familiarity with analytical storage systems such as ClickHouse, DataBricks, Snowflake, or BigQuery
• Experience with ML lifecycle tooling — training pipelines, model serving, and production monitoring
• Experience with AWS and cloud-based data and ML infrastructure

What the job involves

• We are looking for an Engineering Manager to join our Data Platform & ML Ops team
• In this role, you will lead the team responsible for Fingerprint's data foundation — from our internal data warehouse that powers business intelligence and product analytics, to the full ML Ops lifecycle that turns raw signals into production models
• You'll foster a culture of high performance, helping engineers grow while delivering the reliable, scalable infrastructure our identification and smart signals products depend on
• We believe that diverse perspectives fuel innovation, and we encourage candidates from all backgrounds and experiences to apply
• Lead and mentor a team of 4-6 engineers spanning data platform and ML operations
• Own the reliability, scalability, and evolution of Fingerprint's internal data warehouse — the foundation for business analytics and a direct input to our flagship identification and smart signals products
• Oversee the full ML Ops lifecycle end-to-end: experimentation, training pipelines, model deployment, and production monitoring
• Provide technical leadership by collaborating with senior engineers, guiding architecture decisions, and reviewing complex technical proposals
• Work closely with data scientists, product managers, data analysts and engineering leads to translate data and ML investments into measurable product outcomes
• Coach and support engineer growth, promoting continuous learning across a fast-moving data and ML landscape
• Define and evolve platform standards, tooling, and best practices across both domains

Benefits

• Competitive salary: We offer competitive salaries and equity because we believe all employees should own a part of Fingerprint.
• Flexible Time Off: To prioritize work-life balance, we even have a minimum vacation days target to encourage everyone gets the rest they need.
• Remote-first: We work asynchronously and respect time-zone differences. Choose where and when you do your work best.
• Tech: We hook you up with a MacBook so you can do your best work (you get to keep it after 4 years).
• Culture: We're a small team with a lean hierarchy where you can make a real impact in shaping the company culture. Come grow with us!
• Fun: We meet up as a company once a year (We went to Mexico City in 2023!) and teams meet up in smaller groups throughout the year.
• Grow With Us: We want you to grow with us, so we offer a $600 yearly budget that you can spend to learn new stuff.
• Personal Development: We give you the freedom to grow and experiment. Work on open-source projects and try new things and ideas.