Product Manager, Products

Position: Product Manager, Central Products
Master AI Engineering with the most practical and comprehensive  at Towards AI Academy.# AI Jobs# Product Manager, Central Products## Meta Published 10 Apr 2026### Share this job Columbus, IN, USAFull Time### Share this job Towards AI has published Building LLMs for production!## Role Highlights### Languages used### Key skills

AIMachine Learning Prompt Engineering Computer Science Product Management

UXProduct Development Product Design Information Technology Critical Thinking Data Transformation Automation Research Architecture Quantitative Prioritization ### Tools, Libraries and Frameworks Fluid## Description

Summary:

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists, and researchers to build products. We are looking for extremely effective Product Managers to help innovate and execute product initiatives across the company, value moving quickly, and lead AI transformation s job description represents different full-time roles across Meta.

Required Skills:

Product Manager, Central Products Responsibilities: 1 . Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals 2 . Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight 3 .

Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis 4 . Translate AI capabilities into compelling, differentiated product visions that define market categories 5 . Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement 6 . Drive product development with teams of engineers and designers, while maintaining team health 7 .

Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones 8 . Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale 9 . Foster a culture of rapid experimentation and learning that becomes a competitive advantage 10 .

Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially 11 . Plan, initiate, and manage information technology projects for web-based products, applications, and platforms 12 . Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale 13 . Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm 14 .

Use AI-enabled tools to build productssetting the standard for PM technical capability 15 . Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier 16 . Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes 17 . lead strategic technical decisions with engineering leadership 18 . Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity 19 .

Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.) 20 . Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry 21 . Define and analyze metrics that inform the success of products.

Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis, and AB testing 22 . Design sophisticated experiments and interpret results (leveraging AI) to drive strategic product decisions 23 . Define and run evaluations (evals) to interpret model outputs at scaleestablishing evaluation as a strategic capability for AI-powered experiences

Minimum Qualifications:

Minimum Qualifications:

24 .

Demonstrated proficiency using AI-enabled tools to build product artifacts at scale 25 . 10+ years of experience working collaboratively with engineering, design and user research teams 26 . 10+ years product management and/or Product Design 27 . Experience developing and championing AI-native strategies across organizations 28 . Critical thinking and analytical leadership experience 29 . Experience navigating through the full product life-cycle, integrating customer feedback into product requirements, driving prioritization, and pre- and post-launch execution 30 .

Experience presenting to executive audiences 31 . BA/BS in Computer Science or…