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 infra. Oversee ML lifecycle: experimentation, training pipelines, deployment, prod monitoring. Provide technical guidance through architecture reviews and decisions. Collaborate with data scientists, product managers, analysts, and leaders to drive outcomes. Establish engineering standards and best practices across data engineering and ML ops. 🎯 Requirements At least 2 years managing engineering teams focused on data platforms or ML/data infra. 5+ years in data engineering, ML engineering, or software roles, SaaS preferred. Strong cross-discipline technical direction in data and ML systems. Experience leading multi-disciplinary teams and high-performing groups. Proven ability to deliver reliable data products with quality and scalability. Experience driving technical change in fast-growing orgs. 🎁 Benefits Remote-friendly environment with location flexibility. Competitive compensation aligned with experience. Opportunity to work on advanced data/ML systems at scale. Leadership role shaping technical strategy and growth. Exposure to modern data platforms and cloud infra. Inclusive culture and professional growth opportunities.