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Top Hybrid Engineering Manager Jobs in Los Angeles, CA

22 Hours Ago
Hybrid
2 Locations
189K-237K Annually
Senior level
189K-237K Annually
Senior level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Senior Manager of Software Engineering will lead and inspire teams of Software Engineers to enhance a high-performance cloud-based SaaS application. Responsibilities include defining project deliverables, providing technical leadership, mentoring team members, and collaborating with cross-functional teams to deliver quality projects on time.
Top Skills: C#C++Java
12 Days Ago
Hybrid
Santa Monica, CA, USA
168K-246K Annually
Senior level
168K-246K Annually
Senior level
AdTech • Digital Media • News + Entertainment
The Engineering Manager will lead the User Foundations team, focusing on design and management of scalable distributed systems for Disney Streaming services such as Disney+, Hulu, and Star+. This role includes overseeing a team of engineers, fostering communication, mentoring, and ensuring high-quality feature delivery at scale.
Top Skills: Scala
19 Days Ago
Easy Apply
Hybrid
Long Beach, CA, USA
Easy Apply
186K-206K Annually
Senior level
186K-206K Annually
Senior level
3D Printing • Aerospace • Hardware • Robotics • Software
The Senior Manager will lead teams to develop the Enterprise Software Platform, focusing on MES and ERP applications to streamline Engineering, Finance, Supply Chain, and Manufacturing processes. Responsibilities include collaborating across departments, translating user needs into software requirements, managing development teams, and ensuring the reliable performance of enterprise systems.

Featured Jobs

10 Days Ago
Hybrid
90401, Santa Monica, CA, USA
205K-245K Annually
Senior level
205K-245K Annually
Senior level
Artificial Intelligence • Software
Lead and mentor a team of Software and ML Engineers, ensuring technical excellence and alignment with business goals. Collaborate with cross-functional teams, establish best practices, provide performance feedback, and resolve technical roadblocks for successful project execution.
Top Skills: Agile MethodologiesComputer VisionDeep LearningGenerative AiMachine LearningSoftware Development Lifecycle
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