Engineering Manager, Data Platform – ML Ops

Fingerprint

Engineering Manager leading a team of engineers in data platform and ML Ops for Fingerprint. Empowering developers against online fraud with innovative data solutions.

Posted 5/12/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $159,000 - $215,000 per yearWebsite

About the role

Key responsibilities & impact

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.
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.

Requirements

What you’ll need

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.
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.

Benefits

Comp & perks

We offer competitive salary and benefits

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringML engineeringdata infrastructureML systemsdata warehousemodel deploymentproduction monitoringtraining pipelinesagile methodologiesSaaS

Soft Skills

leadershipmentoringcollaborationcoachingtechnical guidancecommunicationteam managementinnovationproblem-solvingadaptability