Engineering Manager, Data Platform & ML Ops
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We are a globally dispersed, 100% remote companyFull-TimeManager
Salary159,000 - 215,000 USD per year
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Job Details
- Experience
- Minimum of 2 years of experience leading teams; at least 5 years of professional experience in data or ML engineering
- Required Skills
- AWSClickhouseData engineeringdbtDatabricksMLOps
Requirements
- 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.
- 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.
Responsibilities
- Lead and mentor a team of 4-6 engineers spanning data platform and ML operations.
- Own the reliability, scalability, and evolution of 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 and guiding architecture decisions.
- Collaborate with data scientists, product managers, and engineering leads to deliver product outcomes.
- Coach and support engineer growth and continuous learning.
- Define and evolve platform standards and tooling.
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