Senior Technical Program Manager (Robotics)

Join Scale AI, the data engine for the entire AI industry. As a Senior Technical Program Manager (Robotics), you will play a critical role in driving cross-functional alignment and managing complex, multidisciplinary programs. You will have end-to-end ownership of program lifecycle management, establish communication and visibility, navigate ambiguity, and design scalable frameworks for collaboration. This is a high-impact individual contributor role that requires a strong technical foundation, cross-functional mastery, and experience in robotics and generative AI.

• Servir como el principal impulsor de la alineación entre todos los grupos de interés importantes, asegurando hitos compartidos y una clara propiedad.
• Responsable de la gestión del ciclo de vida de programas complejos, definiendo el alcance del programa, construyendo cronogramas completos y gestionando dependencias.
• Establecer una única fuente de verdad para el estado del programa, autorizar documentación clara del programa y proporcionar actualizaciones regulares a la alta dirección.
• You are someone who thrives in ambiguity, speaks fluent "eng" and "ops," and can seamlessly translate technical constraints into operational realities (and vice versa)
• Education: Bachelor’s degree in Engineering, Robotics, Computer Science, or a related technical field
• 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
• Cross-Functional Mastery: Demonstrated success managing programs that span both engineering / R&D and operational environments
• Experience: 5+ years of experience as a TPM, Product Manager, or Lead Engineer managing complex, deeply technical programs
• Problem Solving: Exceptional ability to navigate ambiguity, build structure out of chaos, and influence senior stakeholders without formal authority
• 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
• Certification: PMP certification or equivalent
• Education: Advanced degree (MS or PhD) in Engineering, Robotics, Computer Science, or a related technical field