产品数据运营项目经理

Meta（Meta Platforms）岗位：Reality Labs Product Data Operations Program Manager Responsibilities

Own end-to-end execution of on-site data collection programs at the capture facility and across additional labs and remote participant sessions, from requirements intake through dataset delivery and acceptance

Partner with research scientists, engineers, and technical program managers to translate model and evaluation requirements into collection protocols, participant criteria, and acceptance criteria

Lead, schedule, and develop teams of on-site collection moderators and technicians, and author the standard operating procedures, training curricula, and certification materials they work from

Set up, operate, and troubleshoot prototype and pre-release capture hardware, sensor rigs, and multi-device synchronization setup

Establish and operate quality processes, including calibration, in-session validation, and post-collection audits, and ensure that collections meet participant consent, privacy, and safety requirements

Design, build, and operate AI and automation solutions across the data pipeline, including pre-annotation, quality triage, and workflow automation that reduces manual effort and increases throughput

Build and maintain evaluation practices for your area, including gold-standard datasets, model versus human comparison, and the accuracy thresholds that determine whether data and AI outputs meet the bar

Collect, analyze, and leverage operational data to identify quality and throughput trends, building the dashboards, metrics, and leadership-facing reports that drive decision-making across your programs

Drive the resolution of risks and blockers across hardware, tooling, vendor, and scheduling dependencies, re-prioritizing as hardware and model training schedules evolve

Manage external vendors supporting participant recruitment and onsite staffing, and align requirements, timelines, and budgets across stakeholders and facility capacity

Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta

4+ years of experience in program management, operations, or technical operations within a hardware, research, or data-driven organization

Analytical experience using data to identify trends, diagnose operational issues, and influence program direction

Experience in communicating and influencing multiple cross-functional stakeholders and senior leadership

Experience solving problems and breaking down ambiguous issues into component parts to develop solutions

and requires in-person presence for a minimum of 3 days per week, with occasional travel to other lab sites

Familiarity with AI or ML development lifecycles, including model evaluation, benchmarking, and deployment processes

Track record of standing up or scaling a lab, studio, or collection facility, or growing a service function's book of work in an ambiguous, fast-moving environment

Experience collecting data for machine learning applications, including ground-truth capture, dataset curation, or model evaluation

Experience with multi-sensor or multi-device synchronized capture, sensor calibration, or biometric and physiological sensing

Equivalent experience from an adjacent physical collection domain such as clinical research operations, motion capture or volumetric studios, autonomous vehicle or robotics validation, human factors labs, or new product introduction

Familiarity with participant recruitment, screening criteria design, informed consent, and data governance for human-subject data

Experience in AR/VR, mixed reality, wearables, or consumer electronics, or in another hardware-based development environment

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People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

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Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience.

Degree must be completed prior to joining Meta.