Program Manager, Product Data Operations (Reality Labs)

Meta; Redmond; On-site; AUD 142,000 - 207,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Reality Labs Product Data Operations Program Manager to lead multilingual data collection for language expansion across AR/VR products. You will translate model and product requirements into collection specs, select appropriate data collection models, and build scalable processes for rapid deployment.

Collaborating with research, engineering, product, quality, privacy, and vendor teams, you will define data quality standards, track throughput, cost and quality trends, and drive

Qualifications

• 4+ years of experience in program management, data operations or technical operations in a data-driven, AI/ML or technology organization.
• Experience in running data collection, annotation, or language data programs, including managing external vendors at scale.
• Experience in communicating with and influencing multiple cross-functional stakeholders and leaders.
• Experience defining and maintaining quality standards and acceptance criteria for data deliverables.
• Analytical experience using data to spot trends, diagnose operational issues, and influence program direction.
• Experience prioritizing competing workstreams based on impact and deadlines in fast-moving, agile environments with changing priorities.
• Experience breaking ambiguous problems into component parts to develop solutions.
• In-person presence at least 3 days per week, with occasional travel required.

Responsibilities

• Own the full lifecycle of language expansion data collection programs, from requirements intake and scoping through collection, quality assurance, and dataset delivery.
• Turn model, evaluation, and product requirements into clear collection specs: language and locale coverage, speaker and participant criteria, volume targets, timelines, and acceptance criteria.
• Choose the right DC model for each need (in-house, scaled vendor, or hybrid) based on quality, speed, cost, coverage, and risk, and explain the tradeoffs to stakeholders.
• Build repeatable DC playbooks, SOPs, templates, and intake standards so that new languages and locales can launch quickly and consistently.
• Work closely with research scientists, engineers, TPMs, product, linguists, quality, and privacy partners to align on priorities, dependencies, and success measures.
• Develop systems that operationalize data to track throughput, cost, and quality trends. Build dashboards and leadership-facing reporting that drive decisions.
• Prioritize competing requests based on impact, urgency, and stakeholder needs. Iterate on plans as model training schedules change, elevate risks early, and ensure that budget targets are met.

Skills

Program management

Data operations

Vendor management

Stakeholder communication

Analytical thinking

Cross-functional collaboration

In-person collaboration

Tools

Data collection platforms

Dashboards/BI

Job description

Meta is hiring a Reality Labs Product Data Operations Program Manager to run multilingual data collection (DC) for our language expansion work. Reality Labs builds the next generation of computing across Meta's mixed reality, virtual reality, and wearables products. As we bring AI experiences to more languages and regions, the quality, coverage, and speed of our multilingual data shape how well our models understand and respond to people around the world.In this role, you'll take model and product requirements from intake through delivery. For each request, you'll pick the collection model that fits best: in-house collection, scaled vendor collection, or a mix of both. You'll also build DC practices that can scale and repeat across languages and locales. You'll work across functions with research, engineering, product, quality, legal/privacy, and vendor partners. You'll define and enforce quality standards for data deliverables in a fast-moving environment where priorities shift frequently.

Program Manager, Product Data Operations (Reality Labs) Responsibilities:

• Own the full lifecycle of language expansion data collection programs, from requirements intake and scoping through collection, quality assurance, and dataset delivery
• Turn model, evaluation, and product requirements into clear collection specs: language and locale coverage, speaker and participant criteria, volume targets, timelines, and acceptance criteria
• Choose the right DC model for each need (in-house, scaled vendor, or hybrid) based on quality, speed, cost, coverage, and risk, and explain the tradeoffs to stakeholders
• Build repeatable DC playbooks, SOPs, templates, and intake standards so that new languages and locales can launch quickly and consistently
• Work closely with research scientists, engineers, TPMs, product, linguists, quality, and privacy partners to align on priorities, dependencies, and success measures
• Develop systems that operationalize data to track throughput, cost, and quality trends. Build dashboards and leadership-facing reporting that drive decisions
• Prioritize competing requests based on impact, urgency, and stakeholder needs. Iterate on plans as model training schedules change, elevate risks early, and ensure that budget targets are met

Minimum Qualifications:

• 4+ years of experience in program management, data operations or technical operations in a data-driven, AI/ML or technology organization
• Experience in running data collection, annotation, or language data programs, including managing external vendors at scale
• Experience in communicating with and influencing multiple cross-functional stakeholders and leaders
• Experience defining and maintaining quality standards and acceptance criteria for data deliverables
• Analytical experience using data to spot trends, diagnose operational issues, and influence program direction
• Experience prioritizing competing workstreams based on impact and deadlines in fast-moving, agile environments with changing priorities
• Experience breaking ambiguous problems into component parts to develop solutions
• In-person presence at least 3 days per week, with occasional travel required

Preferred Qualifications:

• Experience in owning program budgets, cost forecasting, or per-unit cost tracking
• Experience with AI/ML development lifecycles, including model evaluation, benchmarking, and data-centric improvement of model output
• Proficiency in one or more languages besides English, as the role supports multilingual data collection programs across multiple regions and locales
• Track record of building scalable, repeatable operating models or playbooks for a service function
• Experience designing hybrid in-house and vendor sourcing strategies, including cost/quality trade-off analysis
• Experience with participant recruitment, screening criteria, informed consent, and data governance for human-subject data across regions
• Experience with multilingual, speech, text, or conversational AI data, including localization or language expansion programs
• Experience building or deploying automation or AI solutions in production workflows
• Experience in AR/VR, wearables, consumer electronics or AI products

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. 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.

Meta is proud to be an Equal Employment Opportunity and Affinit…

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$99,000/year to $144,000/year + bonus + equity + benefits

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. Learn more about benefits at Meta.