Senior Technical Program Manager (See & Spray)

Join our team as a Senior Technical Program Manager, where you will be responsible for overseeing the processes, tools, and systems that enable our software releases and field deployments. You will support Robotics development, Computer Vision Machine Learning model development, and internal tooling infrastructure. Your role will involve end-to-end delivery of complex robotics programs, technical risk management, and cross-functional coordination. You should have a strong background in technical program management, systems engineering, or a related technical role, with experience in robotics or ML-intensive product environments.

• Own end-to-end delivery of complex robotics programs, including development and maintenance of program schedules.
• Identify and manage technical risks proactively, distinguishing between various types of risks related to machine learning, hardware, and system integration.
• Drive cross-organizational alignment across engineering, product, and field operations, managing dependencies without direct authority.

• This role requires someone who can drive cross-organizational alignment across engineering, product, and field operations
• Experience managing cross-organizational dependencies without direct authority over the teams involved. Expert at finding the right escalation points
• BS or MS in Engineering, Computer Science, or a related technical field
• Strong systems thinking ability to understand how changes in one part of the stack (new sensor, model update, firmware/middleware change) ripple through the rest
• Demonstrated ability to deploy the right tools (Jira, GitHub, risk matrices, dashboards, AI agents) to match the program’s complexity
• Strong written and verbal communication skills with the ability to present to executive leadership
• 8+ years of experience in technical program management, systems engineering, or a related technical role. 2 years minimum in a robotics or ML-intensive product environment
• Track record of defining metrics, standing up dashboards, and using data to drive decisions
• Strong technical acumen—ability to read architectural diagrams, write specs and test plans, and go deep on engineering issues when needed
• If you’re excited about this role but your experience doesn’t align completely with the job description, we encourage you to apply anyway
• Experience in autonomous systems
• Familiarity with machine learning model development and deployment pipelines
• Experience with HIL/SIL/XIL test infrastructure or V and V processes for safety-critical systems
• Experience with OTA update systems, field deployment logistics, or dealer- and customer-facing technical programs
• Demonstrated ability to own and improve SDLC processes across multiple teams. Experience with CI/CD pipelines, test automation frameworks, and DevOps practices
• Knowledge of data collection pipelines, log management systems, and data governance