Engineering Manager, Data Platform & ML Ops

📋 Description

• Lead and mentor a team of engineers across data platforms and ML operations.
• Own reliability, scalability, and continuous improvement of internal data infrastructure.
• Oversee the ML lifecycle including experimentation, training pipelines, deployment, and monitoring.
• Provide architectural guidance and help teams make strong engineering decisions.
• Collaborate with data scientists, product managers, and analysts to drive measurable outcomes.
• Establish standards and best practices across data engineering and ML operations.

🎯 Requirements

• 2+ years managing engineering teams focused on data platforms, ML, or related tech.
• 5+ years of professional experience in data, ML, or software engineering roles, preferably in SaaS.
• Strong understanding of data infrastructure and ML systems with ability to provide technical
• Experience leading multi-disciplinary teams and delivering reliable data products.
• Proven ability to drive technical change in fast-growing orgs.
• Familiarity with ClickHouse, Databricks, Snowflake, or BigQuery; ML lifecycle tools for training

🎁 Benefits

• Remote-friendly environment with location flexibility.
• Competitive compensation aligned with experience.
• Opportunity to work on advanced data and ML systems at scale.
• Lead and grow a talented engineering team while shaping technology strategy.
• Exposure to modern data platforms, ML operations, and cloud infra.
• Inclusive culture and ongoing professional growth opportunities.