Product Content Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$162K-$227K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$102,662 U.S. median for this role

Projected growth (BLS Employment Projections)

+5.4% - Faster than average

89% above the BLS role benchmark for product management aggregate.

Matched to SOC 11-1021 - Product Management aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Product From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Product Content Engineer Menlo Park, CA; New York, NY; San Francisco, CA Product Content Engineering is a horizontal function supporting initiatives across Meta's family of apps. We partner closely with product and technical teams to solve problems by providing content-centered solutions, setting standards of quality, and building the frameworks that ensure AI-powered experiences actually work for people. We're looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You'll work at the intersection of content quality, AI evaluation, and the search and recommendation systems that power Meta's products: building the frameworks, rubrics, and pipelines that hold AI outputs to a high standard. You'll assess model behavior, identify where it falls short, and work cross-functionally with engineering, product, research, and data science teams to make it better. If you're energized by the opportunity to build better AI product experiences through rigorous evaluation, have experience navigating ambiguity by defining structure, prioritizing work, and driving clarity in evolving problem spaces, and apply sound editorial and analytical judgment to content quality decisions, we encourage you to apply. Responsibilities: - Define content quality standards and use them to systematically evaluate how AI models are performing across our products and content experiences - Design golden sets, taxonomies, and guidelines that enable consistent, repeatable content quality assessments - Build repeatable workflows for collecting, annotating, and analyzing AI outputs so evaluations can run efficiently as models evolve - Evaluate successive model releases through structured comparison, documenting

Read the full description at www.metacareers.com. FewerJobs shows a preview and links to the original posting.