Engineering Manager, Data Platform & ML Ops

📋 Description Lead and mentor a team of engineers across data platforms and ML ops Own reliability, scalability, and continuous improvement of internal data infrastructure Oversee ML lifecycle: experimentation, training pipelines, deployment, monitoring Provide architectural guidance and engineering governance Collaborate with data scientists, product managers, analysts, and leaders Establish standards and best practices across data eng and ML ops 🎯 Requirements 2+ years managing engineering teams focused on data platforms or ML 5+ years in data engineering, ML engineering, or software roles (SaaS preferred) Strong understanding of data infra and ML systems with technical direction Experience leading multi-disciplinary teams and delivering reliable data products Proven ability to drive technical change in fast-growing orgs Familiarity with analytical storage tech: ClickHouse, Databricks, Snowflake, BigQuery 🎁 Benefits Remote-friendly environment with location flexibility Competitive compensation aligned with experience Work on advanced data and ML systems at scale Opportunity to lead and grow a talented team and shape strategy Exposure to modern tech across data platforms, ML ops, cloud infra Inclusive culture with growth and learning opportunities