Lead, Product Content Engineering

Instagram; Menlo Park (CA); On-site; USD 242,000 - 296,000; Full time

Job summary

Instagram is seeking an experienced Manager for Product Content Engineering to define how AI content experiences are evaluated and improved across Meta’s apps. You will lead a team, drive LLM evaluations, and coordinate with engineering, data science, and product teams to deliver scalable impact.

The role requires a strong background in content platforms, 10+ years of experience, and 3+ years of leadership plus 1+ year in GenAI contexts.

Qualifications

• 10+ years of experience improving content quality and relevance on content platforms
• 3+ years of professional experience in hiring, managing and developing individual contributors
• 1+ year working with GenAI products, prompt engineering, annotation, and/or content evaluation and analysis
• Experience driving cross-functional projects autonomously to build products and respond to urgent needs
• Familiarity with AI industry trends and translating them into content strategy
• Experience leading data-driven analyses and communicating findings to executives

Responsibilities

• Develop and execute strategies for evaluating LLMs at scale across content work
• Build, lead, and mentor a team of content engineers
• Drive sprints for LLM evaluations and automation tooling
• Translate technical product needs into actionable direction for cross-functional teams
• Define emergent opportunities and drive impact in ambiguous areas
• Lead cross-functionally with engineering, data science, and product teams to align AI behaviors with user expectations

Skills

Content quality

Hiring & people management

GenAI products

Cross-functional collaboration

AI content strategy

Data-driven analysis

Education

BA/BS in CS/DS/Linguistics or related

Tools

Tableau

Job description

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 an experienced manager to join our team and help define how Meta evaluates and improves AI content experiences and manage a team of team members across a variety of projects. You will take on the highest priority work and flex as we continue to transform the team and uplevel the AI capabilities at all levels. The work is time-sensitive and innovative, situated at the intersection of content expertise and Meta’s industry-leading ranking and delivery systems. The manager in this role will apply technical expertise to drive change in evolving environments with shifting priorities. You will be expected to perform data analysis, comprehend complex recommendation systems, and test hypotheses while driving alignment across a wide cross‑functional team to deliver business impact at scale.

Lead, Product Content Engineering Responsibilities

• Develop and execute strategies for Meta’s product teams to evaluate LLMs at scale across content work
• Build, lead, and mentor a team of content engineers, fostering a culture of creativity, excellence, and professional growth
• Drive sprints for LLM evaluations and automated evaluation tooling while devising and implementing systems to increase evaluation capacity
• Understand technical product needs and translate those into actionable direction for content-focused cross‑functional teams
• Understand Meta’s strategic and competitive position and deliver content strategies and product solutions that are aligned with our mission and competitive in the industry
• Define emergent opportunities and drive impact via execution in highly ambiguous areas
• Lead cross‑functionally with engineering, data science, and product teams to align AI behaviors and content experiences with real‑world user expectations

Minimum Qualifications

• 10+ years of experience improving content quality and relevance on content platforms, including work with video creators, ranking systems, content strategy
• 3+ years of professional experience in hiring, managing and developing individual contributors
• 1+ year working with GenAI products, prompt engineering, annotation, and/or content evaluation and analysis
• Experience driving cross‑functional projects autonomously to build products, respond to urgent needs, preempt issues and address concerns in a collaborative and timely fashion
• Familiarity with AI industry trends demonstrated through past work applying them to content strategy and the ability to translate them into actionable content strategy
• Experience applying critical thinking to lead data‑driven analyses that inform product or content decisions, and communicating findings to executive leadership

Preferred Qualifications

• Experience adhering to and implementing responsible, ethical AI practices (risk assessment, bias mitigation, quality and accuracy reviews)
• 2+ years of experience working closely with ranking teams
• BA or BS in Computer Science, Data Science, Linguistics, or related field
• Experience with data visualization tools such as Tableau
• Demonstrated ongoing AI skill development (prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (efficiency gains, quality improvements)
• 4+ years of work experience in product management, data analytics, or content operations in a large‑scale content platform

Compensation and Benefits

$242,000/year to $296,000/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.

Equal Employment Opportunity and Disability Accommodations

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. 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].