"engineering management" Jobs
3697 open tech roles matching “engineering management”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: AI/ML, Python, TypeScript. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 3697 results
Lead and scale core engineering teams to build an AI platform that improves healthcare efficiency and clinician experience.
Manage the full customer lifecycle and ensure successful adoption of company products as a Solutions Engineer at Factory.
Lead the Experimentation team at LaunchDarkly, driving the development of a core product that enhances data-driven decision-making.
Join Graphite as an Engineering Manager to lead a team in building modern code review tools for software engineering.
Join Mariana Minerals as a Senior/Staff Electrical Engineer to lead the design of medium and low-voltage power systems for refining and minerals processing facilities.
Lead a team of cloud platform engineers to build scalable and reliable infrastructure for AI products at Baseten.
Lead an engineering team focused on delivering impactful AI-powered product analytics in a fast-moving environment.
Drive the development of innovative networking hardware from concept to mass production at Meter.
Lead the enablement strategy for Field Engineers at Databricks, ensuring they are prepared for customer engagements and product launches.
Lead the planning and execution of capital project programs at Mariana Minerals, driving schedules, budgets, and team alignment.
Join Astro Mechanica as a Senior Thermal Systems Design Engineer to lead thermal management system design from concept to production.
Lead multiple teams in Service Infrastructure at Stripe to enhance architecture and support critical services.
Lead the Materialized Views engineering team to build next-generation features for Databricks Lakeflow platform.
Lead the manufacturing function at Astro Mechanica, building teams and processes for rapid aerospace prototyping.
Lead a team of engineers to build infrastructure for training and evaluating ML models in a flat, innovative organization.