Manager, Autonomy Applications Engineering (R4154)
Shield AI
What you'll do:
- Serve as the functional team lead for a team of customer facing applications engineers
- Guide, mentor, and develop a team of applications engineers to provide expert support and troubleshooting for customers
- Manage, prioritize and delegate customer issues
- Support BD in pre-sales and post-sales activities as a technical resource
- Ensure timely and effective technical assistance, troubleshooting, and onboarding support for customers implementing the SDK
- Maintain a deep understanding of the SDK’s features, updates, and use cases to guide the team and assist customers
- Oversee and contribute to the creation and continuous improvement of technical resources, such as user guides, FAQs, and knowledge bases
- Act as an escalation point for complex customer issues and provide hands-on support when necessary
- Coordinate closely with product development, sales, and customer success teams to ensure customer feedback informs SDK improvements and new features
- Act as a liaison between customers and internal teams to advocate for customer needs and communicate product updates
- Develop and grow your teammates through mentorship and training
- Set performance goals, conduct regular evaluations, and foster a collaborative team environment
- Develop and refine support processes to improve team efficiency, customer satisfaction, and response times.
- Track and report on key metrics related to customer engagement, issue resolution, and team performance to stakeholders.
- Conduct travel (~30%) to other Shield AI and customer sites for demos, meetings, etc.
Required qualifications:
- Experience developing software for mobile robot / autonomy applications
- Experience in the defense aviation or robotics industry
- Strong fundamentals in Robotics/Autonomy
- 1+ year of experience building and running a 5–7-person software applications/solutions engineering team
- Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience.
160000 - 240000 USD a year