Technical Program Manager, Scale AI

• Strong Technical Foundation: A degree in Engineering, Computer Science, or a related field, combined with a deep understanding of the AI/ML data lifecycle
• 2-3+ Years of TPM Experience: Proven track record of managing complex, cross-functional technical programs, ideally in robotics, hardware, or large-scale data operations
• Hands-on Problem Solving Skills: A proactive approach to overcoming technical and logistical roadblocks in a fast-paced environment
• Operational Grit: Experience "in the weeds" of operational challenges - you don’t just identify bottlenecks; you build the solution to clear them
• Entrepreneurial Mindset: You are comfortable with ambiguity and excited about building infrastructure from scratch in a fast-paced environment

Desirable

• As a Technical Program Manager (TPM) for Robotics Data, you will be the connective tissue across our most complex technical operations, driving initiatives that secure $XXM+ in new revenue
• This isn't a "sit back and watch" project management role. You will work with multiple project leads across a vast portfolio of robotics data projects, ensuring technical milestones are met, dependencies are de-risked, and stakeholders are aligned
• You should be prepared to wear many hats - from debugging hardware rigs to architecting data pipelines - and be excited about intense, impactful work that leads to accelerated career progression
• Drive Multi-Project Outcomes: Serve as the primary driver for a portfolio of robotics projects, tracking milestones, deliverables, and dependencies to ensure on-time delivery for the world’s leading AI researchers
• Bridge the Technical-Operational Gap: Act as the central liaison between AI researchers, hardware engineers, and global operational teams to translate high-level research goals into executable data collection and annotation workflows
• Architect Scalable Pipelines: Partner with engineering to design and optimize end-to-end data ingestion pipelines, ensuring they can handle the high-fidelity sensor data (video, logs, teleop) required for Vision-Language-Action (VLA) models
• Manage Hardware & Logistics: Coordinate the setup, maintenance, and scaling of physical robotic platforms and data collection rigs across multiple sites
• Enforce Data Quality & Governance: Define KPIs and Quality Assurance (QA) metrics to ensure datasets are high-fidelity, labeled correctly, and compliant with rigorous privacy and safety standards
• Standardize for Scale: Develop and refine Standard Operating Procedures (SOPs) that allow us to scale collection and annotation efforts across global, distributed teams
• Communicate with Precision: Provide regular, data-driven progress updates to Scale’s executive team, utilizing SQL and dashboards to monitor performance and guide strategic pivots