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Scale AI — San Francisco
Scale’s Robotics business unit is experiencing historic, unprecedented growth. As a Senior Strategic Project Lead (SPL) for Egocentric Data Collection , you will architect and execute the critical operational roadmaps that drive $XXM+ in net-new revenue. This is a high-leverage, executive-facing role.
You will wear many hats across operations, engineering strategy, and product, driving the physical data engine that powers the world’s most advanced Embodied AI systems. The ideal SPL possesses a rare blend of rigorous project management methodology, an entrepreneurial mindset, and a deep comfort with the beautiful chaos of physical-world operations. If you are excited by high-stakes ownership, complex hardware-software paradigms, and accelerated career progression, this role is built for you.
You will: Own the Mission: Serve as the end-to-end program business owner for our most visible, high-impact egocentric data collection initiatives, directly steering data quality, operational efficiency, P L margins, and revenue delivery.
Requirements
into highly structured, scalable physical data collection specifications that directly improve VLM/VLA model performance. Establish PMO Rigor: Build, optimize, and scale project timelines, milestone tracking, and critical-path infrastructure. Implement risk-mitigation frameworks to anticipate and bypass real-world operational bottlenecks.
of the world's largest Robotics models. Command Global Operations: Functionally lead, mentor, and scale a high-performing matrixed team of Operations Program Managers and Associates, defining task architecture and establishing operational KPIs. , smart glasses, sensors, rig setups).
Drive Data-Centric Decisions: Build advanced analytics, tracking dashboards, and reporting mechanisms to inject continuous feedback loops into the operational lifecycle. Executive Presence: Deliver high-signal, strategic progress updates and risk assessments directly to Scale’s executive leadership team. Ideally, you’d have: Technical Strategic Hybrid: A bachelor’s degree in Engineering, Computer Science, or a related technical field, combined with a proven track record of driving massive commercial/business outcomes.
5+ Years of Elite Project/Program Management: Experience leading complex, multi-faceted project lifecycles, establishing PMO frameworks, and managing cross-functional technical teams (PMP, Agile/Scrum, or equivalent operational experience is a strong plus). Physical AI Robotics Exposure: Prior experience or deep familiarity working alongside robotics systems, autonomous vehicles, computer vision pipelines, or hardware-in-the-loop environments. You understand the unique challenges of capturing data from the physical world.
First-Principles Problem Solving: Exceptional analytical capability with a knack for deconstructing complex, ambiguous, and unpredictable operational challenges into execution-ready strategies. Operational Resilience: An entrepreneurial, founder-level mindset. You are energized by building systems from 0 to 1, navigating physical constraints, and executing with extreme velocity.
Global Mobility: Readiness to travel internationally (10-20%) to audit, launch, and optimize localized collection infrastructure. Nice to haves: Hands-on experience with spatial computing, egocentric vision systems, sensor fusion (LiDAR/IMU/Camera), or AI data curation. Experience managing distributed global operations across multiple time zones.
Background in high-growth startups or elite technology consulting firms.