Technical Program Manager, Robotics Data

Scale AI•San Francisco, CA

7h•$134,400 - $168,000

About The Position

Scale’s Robotics business unit is currently seeing historic levels of growth. 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.

Requirements

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.

Nice To Haves

SQL Proficiency: Ability to pull your own data and build your own tracking dashboards.
Global Experience: Experience interacting with distributed teams or collection sites across different time zones.
Robotics Domain Expertise: Familiarity with robotic hardware, sensor calibration, or the nuances of collecting data for Physical AI.
AI/CV Knowledge: Familiarity with Computer Vision or Large Language Model (LLM) training requirements.

Responsibilities

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.