Sr Technical Program Manager, ML & Robotics Platform

Job Responsibilities

• Serve as the outcome and domain owner for a portfolio of technical programs; be prepared to bootstrap ambitious, ambiguous, large-scale strategic initiatives into clear, structured execution paths.
• Weave complex, cross-organizational interdependencies into a singular, harmonious program strategy that unifies diverse engineering groups.
• Evangelize the program’s strategy across the core platform engineering teams and the robotics programs that use our foundational tooling.
• Replace administrative status updates with an authoritative, bottom-up framework that clearly articulates milestones, sequences, and critical paths to executive leadership.
• Act as a high-velocity roadblock smasher, using your program tooling to identify engineering bottlenecks and re-chart course as necessary to guarantee high-quality, on-time program delivery.
• Build the connective tissue between cross-functional groups, ensuring deep understanding, operational symmetry, and goal alignment across teams.
• Shape and contribute deeply to strategic roadmaps for developing our robotics platform.
• Work cross-functionally to develop best practices and development processes in a dynamic environment, driving impact through the deployment of key initiatives and garnering adoption of those processes.

Required Experience and Skills

• At least 7+ years of experience driving complex, cross-functional technical programs.
• Strong track record of building alignment across diverse technical teams without formal authority.
• Excellent communication skills with the ability to translate complex architectural concepts into clear, actionable program milestones.
• Bachelor’s degree in Computer Science, Data Science, Engineering or related technical discipline; or equivalent practical experience.
• Proficiency with agile project management tools such as Jira and Confluence.
• Strong analytical and problem-solving skills with large-scale systems.
• Excellent communication, time management, and prioritization skills.
• Systems design or technical architecture experience, with the ability to understand and contribute to high-level system design discussions.

Preferred Experience and Skills

• Background in machine learning, computer vision, and/or robotics.
• Experience managing data science, machine learning, computer vision, robotics, or autonomy programs.
• Experience with cloud-based full-stack engineering development, including frontend, backend, and infrastructure.