Senior Technical Program Manager Robotics

Scale AI is the data engine for the entire AI industry. Our mission is to accelerate the development of AI applications by providing organizations with the high-quality data they need. The Physical AI team at Scale is focused on the next frontier: building general AI that can reason and act in the physical world. By leveraging Scale’s massive data infrastructure we are helping frontier labs build Foundation Models for Physical AI that will redefine the future of automation.

We are seeking a seasoned highly collaborative Technical Program Manager (TPM) to serve as the critical bridge between our Engineering and Operations organizations. In this high-impact individual contributor role you will be the first TPM dedicated to driving cross-functional alignment from initial system design through to large scale production. As the connective tissue between engineering teams and global operations you will own the lifecycle of complex multidisciplinary programs. You are someone who thrives in ambiguity speaks fluent "eng" and "ops" and can seamlessly translate technical constraints into operational realities (and vice versa).

• Cross-Functional Program Leadership: Serve as the primary driver of alignment between all major stakeholder groups (Engineering Operations Solutions Product GTM etc.) ensuring shared milestones OKRs and clear ownership.
• Program Lifecycle Management: End-to-end ownership of complex programs. Define program scope build comprehensive schedules manage dependencies and aggressively mitigate risks to ensure on-time delivery.
• Communication & Visibility: Establish a single source of truth for program status. Author clear program documentation maintain schedules and provide regular high-impact updates to executive leadership.
• Navigating Ambiguity & Pathfinding: Thrive in a highly fluid rapidly evolving environment. As the first cross-functional TPM in this space you will frequently face ill-defined problems shifting priorities and missing processes. You are expected to proactively chart a path forward make sound decisions with incomplete data and establish structure where none exists.
• Tactical Execution & Grit: Operate with a deep hands-on approach. You are not just a high-level coordinator; you are willing to roll up your sleeves and dive into the details—whether that means managing hardware release schedules running sprint planning meetings or manually auditing data to solve a critical issue.
• Process Establishment: Design and implement scalable frameworks tools and communication cadences to optimize how our Eng and Ops teams collaborate.

• Experience: 5+ years of experience as a TPM Product Manager or Lead Engineer managing complex deeply technical programs.
• Cross-Functional Mastery: Demonstrated success managing programs that span both engineering / R&D and operational environments.
• Problem Solving: Exceptional ability to navigate ambiguity build structure out of chaos and influence senior stakeholders without formal authority.
• Technical Literacy: Strong technical foundation allowing you to actively participate in architecture reviews and credibly challenge/evaluate technical trade-offs with both HW and SW engineers.
• Education: Bachelor’s degree in Engineering Robotics Computer Science or a related technical field.

• Robotics Domain Expertise: Proven track record delivering complex robotics mechatronics autonomous vehicles or hardware-software integrated systems from concept to production.
• Generative AI Experience: Experience working with large language models (LLMs) and/or vision-language models (VLMs).
• Agile & Waterfall: Deep familiarity with both Agile/Scrum and Waterfall methodologies and the ability to hybridize them effectively.
• Education: Advanced degree (MS or PhD) in Engineering Robotics Computer Science or a related technical field.
• Certification: PMP certification or equivalent.

What We Do

Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR image video and NLP annotation APIs allow machine learning teams at companies like OpenAI Lyft Pinterest and Airbnb focus on building differentiated models vs. labeling data.