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

Requirements

• 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

Qualifications

• 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 (e.g., prompt/context engineering, agent orchestration)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Skills

• Technical expertise in content engineering
• Ability to lead and mentor a team
• Data analysis and comprehension of complex recommendation systems
• Collaboration with cross-functional teams
• Understanding of AI industry trends and their application to content strategy
• Experience with GenAI products and prompt engineering

Benefits

Meta offers a comprehensive benefits package including:

• Compensation: $242,000/year to $296,000/year + bonus + equity + benefits
• Individual compensation is determined by skills, qualifications, experience, and location
• Learn more about benefits at Meta

Pay

$242,000/year to $296,000/year + bonus + equity + benefits

Schedule

N/A