The Senior Engineering Manager will lead a scaling organization, ML Compute team to achieve its mission while developing long-term vision and execution strategies across Cruise AI. This leadership role will ensure that we have a step function change in our product offering to support the scale we are anticipating. The leader will communicate their vision and strategies, design the org structure to support effective and efficient execution, and build partnerships across multi-functional groups and customers. What you'll be doing: Lead and grow multiple teams of engineers within the ML Compute team Ensure org health and structure are optimal for smooth execution of our goals Ensure better engineering best practices are adopted and followed and the quality of the product offerings are at a high bar Drive strategic planning, vision setting and establishing scalable processes for execution Build and retain world-class engineering teams through mentorship and career development Work with teams across Cruise to foster a collaborative culture of testing, safety, and documentation Pursue transformative technologies that enable us to support scaling and bring affordable productivity to bend the cost curve while driving significant change for ML engineering productivity Serve as an embodiment of our values Invest heavily in recruiting, identifying opportunities for external engagement to improve the Cruise engineering brand Help define, build, and embody Cruise engineering culture and principles Embody Cruise behaviors: Stay Safe, Own It, Stay Focused, Seek Truth, Work Together, Be Humble, Be a Customer What you must have: 4-6 years of management experience BS degree in Computer Science, Electrical Engineering, Operations Research or other technical field Prior experience managing, leading, and growing multiple teams and building strong organizations. Proven track record of shipping production-quality software for mission-critical or complex software products Experience managing teams and initiatives in a fast-paced environment Demonstrated experience thinking strategically with analytical and problem-solving experience Prior experience with ML Platforms, Kubernetes etc is a bonus The salary range for this position is $224,400 - $330,000. Compensation will vary depending on location, job-related knowledge, skills, and experience. You may also be offered a bonus, long-term incentives, and benefits. These ranges are subject to change. #J-18808-Ljbffr