Engineering Manager, Data Platform & ML Ops

📋 Description

• Lead the development and evolution of data platforms and ML operations capabilities.
• Build strong teams, drive technical strategy, and ensure reliable systems for data-driven products.
• Oversee ML lifecycle including experimentation, training pipelines, model deployment, and
• Provide architectural guidance, review solutions, and help teams make engineering decisions.
• Collaborate with data scientists, product managers, analysts, and engineers to translate data/ML
• Establish engineering standards and enable career growth within the team.

🎯 Requirements

• At least 2 years of experience managing engineering teams focused on data platforms, ML, or related
• 5+ years of professional experience in data engineering, ML engineering, or software engineering
• Strong understanding of data infrastructure and ML systems; able to provide technical direction.
• Experience leading engineers across multiple disciplines and delivering reliable data products.
• Proven ability to drive technical change in fast-growing organizations.
• Familiarity with analytical storage tech (ClickHouse, Databricks, Snowflake, BigQuery) and ML

🎁 Benefits

• Remote-friendly work environment with flexibility to work from your preferred location.
• Competitive compensation aligned with experience and market conditions.
• Opportunity to work on advanced data and ML systems at scale.
• Leadership opportunity to grow a talented engineering team and shape technical strategy.
• Exposure to modern technologies across data platforms, ML ops, and cloud infra.
• Inclusive culture and professional growth opportunities.