Lead, Product Content Engineering

Instagram LLC; Menlo Park (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta in Menlo Park, CA is seeking an experienced manager for Product Content Engineering to define how our AI content experiences are evaluated and improved, and to lead a team across a variety of prioritized projects.

You will collaborate with product and technical teams, perform data analysis, and test hypotheses while aligning a wide cross-functional group to deliver impact at scale in a fast-evolving environment.

Qualifications

• Proven experience leading and growing teams in a product/engineering environment.
• Strong data analysis skills to inform recommendations and decisions.
• Ability to understand complex recommendation systems and AI-driven content.

Responsibilities

• Define how AI content experiences are evaluated and improved.
• Lead a team across multiple projects with cross-functional partners.
• Perform data analysis, test hypotheses, and drive business impact at scale.

Skills

Team management

Data analysis

Cross-functional collaboration

AI/content experiences

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.