Technical Program Manager, Atlas Data Operations

Overview In this role you lead a team of Annotation Leads and QA Leads within the Atlas Data Operations group, ensuring high-quality annotated data for ML systems. You coordinate with third-party vendors to balance cost and quality, and drive process improvements across annotation workflows. You’ll write SOPs, monitor metrics, and forecast needs to support Atlas engineering initiatives. This is a chance to shape data quality at scale in a cutting-edge robotics context. Compensation / Benefitsmedical, dental, vision401(k)paid time offannual bonus structure ResponsibilitiesDirectly manage Annotation Leads and Annotation QA Leads, providing direction, prioritization, coaching, and performance feedbackCoordinate with third-party annotation vendors, allocating tasks and managing dual-source relationships to optimize cost and qualityOwn end-to-end annotation quality by partnering with ML Leads to set benchmarks and monitor throughput and error ratesServe as primary escalation point for labeling guideline ambiguitiesWrite SOPs and technical/process/policy documents for the annotation teamForecast annotation needs across Atlas engineering stakeholders and drive continuous improvement via tooling feedback, workflow redesign, and SOP maintenance Key requirementsBachelor's degree in a technical field; proven experience managing teams in data annotation or ML data pipelinesExperience managing third-party annotation vendorsFamiliarity with ML data pipelines or computer vision; strong organizational and communication skillsStrong computer proficiencystrong organizational skillseffective communicationcoaching and performance feedbackcross-functional collaborationannotation concepts and tooling platformsexperience with ML data pipelines or computer vision tooling