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 infra. Oversee ML lifecycle: experimentation, training pipelines, deployment, production monitoring. Provide technical guidance via architecture reviews and engineering decisions. Collaborate with data scientists, product managers, analysts, and leaders to turn data/ML Establish standards and best practices across data engineering and ML ops. 🎯 Requirements At least 2 years managing engineering teams focused on data platforms, ML, or related tech. 5+ years in data engineering, ML engineering, or software roles; SaaS experience preferred. Strong understanding of data infra and ML systems with technical direction ability. Experience leading engineers across multiple disciplines and building high-performing teams. Proven ability to deliver reliable data products and scalable platforms. Experience driving tech change in fast-growing organizations. 🎁 Benefits Remote-friendly with location flexibility. Competitive compensation aligned with experience. Opportunities to work on advanced data/ML systems at scale. Chance to lead and grow a talented team and shape strategy. Exposure to modern data platforms, ML ops, and cloud infra. Inclusive culture with diverse perspectives and ongoing learning.