Meta currently has 129 active AI-related job listings. The hiring is most concentrated in the application stage, representing 22% of the roles, followed closely by agents at 20% and pre-training at 16%. Research is the dominant function, with 63 roles, followed by Engineering with 52. The majority of these positions are located in the United States. Frequent tech tags include agent_orchestration, frontier_research, and multimodal. Over the last 30 days, Meta posted 18 new AI roles, a 31% decrease compared to the previous 30-day period.
Currently tracking 125 active AI roles, up 42% versus the prior 4 weeks. Primary focus: Ship · Research.
Meta currently has 140 active AI-related roles in our index. The most common open titles are: Business Support Engineer (5), AI Research Scientist, Robotics (3), Business Engineer, Business AI (3), Software Engineer, Systems ML (3), AI Research Scientist, VLM (vision language models) (2). Most positions are in Engineering and Research.
Meta's active AI hiring is concentrated in: agents (24%), application (20%), serving infrastructure (16%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Meta is hiring AI talent in: United States (112 roles), United Kingdom (9 roles), France (7 roles), Singapore (6 roles).
Job postings at Meta most frequently mention: Machine Learning, Large Language Models (LLMs), Agentic Systems, Robotics, Generative AI.
In the past 30 days, Meta has posted 66 new AI-related roles. That is a +100% change versus the prior 30 days (33 → 66).
| Title | Stage | AI score |
|---|---|---|
| Member of Product Staff Meta's Instagram is seeking a Member of Product Staff to drive product strategy and execution for consumer products, leveraging AI tools to enhance velocity and build AI-native experiences. This role involves setting vision, collaborating with cross-functional teams, and ensuring rigorous evaluation of AI solutions. | Ship | 8 |
| Product Manager, Leadership Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their organizations. This role involves shaping long-term opportunities, setting vision and strategy, and translating AI capabilities into product visions. The leader will drive product development with cross-functional teams, orchestrate complex execution using AI automation, and define and run evaluations for AI-powered experiences. The role requires experience building 0-1 AI-native products and scaling AI best practices across organizations. |
| Ship |
| 8 |
| Product Manager (Leadership) Meta is seeking an entrepreneurial Product Management Leader to drive AI transformation across their consumer products. This role involves setting vision and strategy, leading cross-functional teams, and executing AI-native product initiatives. The leader will critically evaluate AI solutions, translate AI capabilities into product visions, champion AI strategies including evals and data strategies, and scale AI best practices across the organization. Responsibilities include defining product requirements, orchestrating complex execution, using AI-enabled tools to build products, and designing sophisticated experiments and evaluations for AI-powered experiences. | Ship | 8 |
| Product Manager, Machine Learning Product Manager with Machine Learning expertise to drive product vision, strategies, and roadmaps for large-scale consumer AI products, focusing on full product lifecycle, customer feedback integration, and ethical AI practices. | Ship | 8 |
| Lead, Product Content Engineering Meta is seeking a Lead, Product Content Engineering to manage a team focused on evaluating and improving AI content experiences. This role involves developing strategies for LLM evaluation, leading a team of content engineers, driving sprints for LLM evaluations and tooling, and collaborating with cross-functional teams to align AI behaviors with user expectations. The position requires experience with GenAI products, prompt engineering, content evaluation, and working with ranking systems, with a focus on delivering business impact at scale in a dynamic environment. | Eval Gate | 7 |
| Director, Technical Program Management (Ranking AI) Director, Technical Program Management for Ranking AI within Meta's Monetization group, focusing on Recommendation Systems AI for Ads. The role involves leading the technical execution strategy, defining long-term strategy, developing end-to-end program plans, managing and growing TPM teams, and ensuring successful program delivery. Requires a strong background in the full ML lifecycle, scaling AI-powered projects, and integrating AI tools responsibly. | Ship | 7 |
| Product Manager Product Manager for AI-powered enterprise experiences in APAC, focusing on automation, personalization, and workflow optimization. Responsibilities include roadmap definition, go-to-market strategy, scaling AI best practices, and cross-functional collaboration. Requires experience in AI/ML product leadership, shipping enterprise AI products, AI-native strategies, and responsible AI. | Ship | 7 |
| Data Science Director Director of Data Science to lead analytics for AI-powered Product Marketing and AI-native platforms. Responsibilities include defining the data science operating model, leading a team, owning measurement and experimentation for AI initiatives, and driving evaluation of AI/ML system quality. Requires extensive experience in analytics leadership, causal measurement, team scaling, and influencing strategy. | ShipEval Gate | 7 |
| Product Manager, Business Agents Quality Meta is seeking a Product Manager to own quality for their Business Agents product, a key priority for growing non-ads revenue. The role involves defining quality standards, building measurement and feedback loops, and partnering with various teams to improve agent interactions. The PM will also own the skills platform to expand agent capabilities. This is a horizontal, high-leverage role focused on ensuring AI agents earn trust at scale. | Agent | 7 |
| Technical Program Manager – AI-Generated Media Provenance Technical Program Manager to lead the AI-Generated Media (AIGM) Provenance program, focusing on watermarking, detection, and industry standards (C2PA). The role involves driving cross-organizational alignment, owning technical strategy for provenance infrastructure, navigating regulatory compliance, and representing Meta in industry standards bodies. It operates at the intersection of AI research, media infrastructure, product integration, and global regulation. | AgentServe | 7 |
| Lead, Product Content Engineering This role focuses on driving evaluation efforts for LLM models across product teams, specifically within Meta's Product Content Engineering team. The individual will lead sprints, develop automation strategies for manual evaluation tasks, and partner with Product Managers to align resources. The role involves understanding technical product needs, translating them into actionable directions for cross-functional teams, and contributing to content strategies that improve user experience and content discovery. It requires expertise in GenAI products, prompt engineering, annotation, evaluation metrics, and a strong understanding of recommendation systems and content platforms. | Eval GatePost-train | 7 |
| Director, Product Management - APAC Products Director of Product Management for APAC Products at Meta, leading AI transformation initiatives. This role focuses on redesigning product development workflows for speed and efficiency using AI, setting AI-native strategies, and scaling AI best practices across teams. Responsibilities include defining product vision, leading cross-functional teams, orchestrating complex execution with AI automation, and establishing AI evals as a core practice. Requires extensive experience in product leadership, managing global-scale projects, and integrating AI tools responsibly into product development and workflows. | Ship | 7 |
| Director, Data Engineering Director of Data Engineering at Meta, focusing on measuring the impact of AI for Work (AI4W) across the enterprise. This 0->1 role involves building measurement frameworks, data pipelines, and instrumentation to track agent telemetry and outcome metrics. The goal is to quantify the ROI of AI tools, validate claimed impact, and shape the strategy for AI-augmented productivity. The role requires operating across diverse AI use cases and influencing stakeholders to evolve operating models for the AI era. | Ship | 7 |
| Product Content Engineer This role focuses on defining and implementing content quality standards for AI-powered experiences, specifically within Meta's AI Discovery team. The Product Content Engineer will build frameworks, rubrics, and pipelines to evaluate AI outputs, assess model behavior, and collaborate with cross-functional teams to improve AI content experiences, particularly in search and recommendation systems. | Eval Gate | 7 |
| Product Manager - Growth & Monetization Product Manager for Growth & Monetization at Meta, focusing on new standalone consumer app exploration and growth. The role involves driving 0->1 product development, leveraging agentic workflows, and critically evaluating AI's role in product strategy. Responsibilities include defining product vision, roadmaps, and strategies using AI capabilities, championing AI-native approaches with comprehensive evals and data strategies, and scaling AI best practices across the organization. The role also emphasizes using AI-enabled tools to transform team velocity and orchestrating complex execution with AI automation and human oversight. A key aspect is defining and running evaluations (evals) for AI-powered experiences and integrating AI tools to optimize workflows. | Agent | 7 |
