Engineering Manager, Data Platform & ML Ops

Fingerprint
Anywhere
Workplace: RemoteFull timeUSD 159,000 - 215,000 annuallyFunction: Software EngineeringExperience: 5+ yearsSkills: ["Mentorship","Leadership","Collaboration","Continuous learning","Driving change"]

Lead the Data Platform & ML Ops team to build Fingerprint’s data foundation—from the internal data warehouse powering business intelligence and product analytics to the full ML Ops lifecycle that turns raw signals into production models. Mentor 4–6 engineers, drive reliability and scalability, and provide technical leadership across data infrastructure and ML systems while partnering with data scientists, PMs, and analysts to deliver measurable product outcomes.

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Fingerprint
Fingerprint
4 days ago

Engineering Manager, Data Platform & ML Ops

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead the Data Platform & ML Ops team to build Fingerprint’s data foundation—from the internal data warehouse powering business intelligence and product analytics to the full ML Ops lifecycle that turns raw signals into production models. Mentor 4–6 engineers, drive reliability and scalability, and provide technical leadership across data infrastructure and ML systems while partnering with data scientists, PMs, and analysts to deliver measurable product outcomes.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Lead and mentor a team of 4–6 engineers across data platform and ML operations.
  • •Own the reliability, scalability, and evolution of the internal data warehouse that powers analytics and key product signals.
  • •Oversee the end-to-end ML Ops lifecycle, including experimentation, training pipelines, model deployment, and production monitoring.
  • •Provide technical leadership by collaborating with senior engineers, guiding architecture decisions, and reviewing complex proposals.
  • •Partner with data scientists, product managers, data analysts, and engineering leads to translate data and ML investments into measurable product outcomes.

Pay and Benefits

Salary: USD 159,000 - 215,000 annually

Key Requirements

  • •Minimum 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 technical credibility across both data infrastructure and ML systems (not required to be an expert in both).
  • •Experience managing engineers across multiple technical disciplines.
  • •Proven ability to lead teams shipping high-reliability data products with strong quality and user impact.
Experience:5+ yearsSaaS
Skills:MentorshipLeadershipCollaborationContinuous learningDriving change
Languages:English
Tech Stack:ClickHouseDataBricksDbtPrefectDataHubAWS SageMakerAWS

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Fingerprint
Provides passwordless authentication and device intelligence solutions to help businesses verify users and prevent fraud. Offers passkey-based authentication, risk signals, and developer-friendly APIs to replace passwords and improve account security and user experience.
Industry: Cybersecurity
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