Product Content Engineer

Vamp; Menlo Park (CA); On-site; USD 162,000 - 227,000; Full time

Benefits offered by this job

Bonus

Equity

Health benefits

Job summary

Meta is seeking a Product Content Engineer in Menlo Park, California. This role focuses on evaluating and improving AI content experiences through collaboration with product and technical teams. You will assess AI models, define content quality standards, and design evaluation frameworks.

The ideal candidate has over 5 years of collaborative experience, knowledge in generative AI, and strong skills in data analysis and cross-functional teamwork. The position offers a competitive salary and benefits.

Qualifications

• 5+ years of experience working collaboratively with product, engineering, design, and user research teams.
• 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis.
• Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems.

Responsibilities

• Define content quality standards and evaluate how AI models are performing.
• Design golden sets, taxonomies, and guidelines for content quality assessments.
• Build workflows for collecting and analyzing AI outputs.

Skills

Collaboration with product and engineering teams

Generative AI products experience

Data analysis skills

Critical thinking

Cross-functional collaboration

Education

BA or BS in Computer Science, Data Science, Linguistics, or related field

Tools

Python

SQL

Job description

Product Content Engineer

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 are looking for a Content Engineer to join our AI Discovery team and help define how Meta evaluates and improves AI content experiences. You will 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 will assess model behavior, identify where it falls short, and work cross-functionally with engineering, product, research, and data science teams to make it better.

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 what improved, what regressed, and what to prioritize next
• Design evaluation frameworks that integrate qualitative and quantitative signals to measure dimensions like user trust, content depth, and topical relevance
• Develop processes to track content quality and model performance over time and flag regressions
• Synthesize evaluation results into structured error patterns and concrete recommendations that engineering and product teams can act on
• Work cross-functionally with engineers, data scientists, product managers, and content strategists to align AI behaviors with real-world user expectations

Minimum Qualifications

• 5+ years of experience working collaboratively with product, engineering, design, and user research teams
• 1+ years working with generative AI products, AI evaluation, prompt engineering, annotation, and/or content labeling and analysis
• Experience designing and implementing evaluation frameworks, annotation guidelines, or quality rubrics for AI/ML systems
• Demonstrated data analysis skills, with experience exploring data, identifying patterns, and producing actionable insights
• Experience building new products or platform/ecosystem products
• Critical thinking, experience leading data-driven analyses to inform product or content decisions, and experience communicating to executive leadership
• Proven track record of cross-functional collaboration and delivering results in environments with evolving requirements and competing priorities

Preferred Qualifications

• Background in content strategy, information quality, or trust and safety
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Familiarity with AI evaluation methods such as human eval, model-as-judge, A/B testing, or red‑teaming
• Experience building dashboards, scripts, or workflows that codify evaluation metrics
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience with Python, SQL, or other tools for data analysis and evaluation automation
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• BA or BS in Computer Science, Data Science, Linguistics, or related field

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. 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].

Compensation and Benefits

$162,000/year to $227,000/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.