Position:
Engineering Manager, Data Platform & ML Ops
Company:
Fingerprint
Compensation:
$159,000 – $215,000
Location:
Remote
Employment type:
Not specified
Work Arrangement:
100% remote
Short Summary:
Fingerprint empowers developers to stop online fraud at the source, focusing on innovative fraud detection solutions. We are a globally dispersed company with a strong open-source focus, backed by notable investors.
Responsibilities:
- Lead and mentor a team of 4-6 engineers in data platform and ML operations.
- Own the reliability, scalability, and evolution of Fingerprint's internal data warehouse.
- Oversee the full ML Ops lifecycle: experimentation, training pipelines, model deployment, and production monitoring.
- Provide technical leadership and collaborate with senior engineers on architecture decisions.
- Work closely with data scientists, product managers, and engineering leads to translate data and ML investments into measurable outcomes.
- Coach and support engineer growth, promoting continuous learning.
- Define and evolve platform standards, tooling, and best practices.
Requirement:
- 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.
- Strong technical background across data infrastructure and ML systems.
- Proven ability to lead teams shipping high-reliability data products.
- Demonstrated success driving change and innovation in fast-paced environments.
Benefits:
- Inclusive work environment that values diverse perspectives.
- Encouragement for underrepresented groups in tech to apply.