Currently tracking 108 active AI roles, down 14% versus the prior 4 weeks. Primary focus: Agent · Research.
| Title | Stage | AI score |
|---|---|---|
| Product Manager, Central Products Product Manager to drive AI transformation at scale, evaluating AI solutions, championing AI-native strategies, and scaling AI best practices. Responsibilities include defining product vision, driving development with cross-functional teams, orchestrating execution with AI automation, and defining/running evaluations for AI-powered experiences. Requires experience building AI-native products and integrating AI tools to optimize workflows, with a focus on responsible AI practices and ongoing AI skill development. | ShipAgent | 8 |
| Technical Program Manager, FAIR (AI Research) Technical Program Manager to lead cross-functional programs for FAIR, focusing on compute infrastructure, data management, and generative AI projects. The role involves partnering with researchers and engineers to deliver scalable solutions, guide technical strategy, and ensure the productionization of generative models, while adhering to ethical AI practices and evaluating model performance. |
| ShipData |
| 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 |
| Director, Data Licensing Partnerships Director of Data Licensing Partnerships responsible for sourcing, negotiating, and managing data licensing partnerships to enable Meta's AI and product innovation. This role involves defining strategy, securing partnerships, managing relationships with data providers and labeling partners, leading commercial and technical negotiations, and ensuring compliance. The role requires leading a global team and working closely with AI, Product, Legal, and Engineering teams to integrate partner data assets for AI and product development. | Data | 7 |
| Director, Data Science - AI for Work (AI4W) Ecosystem Director, Data Science - AI for Work (AI4W) Ecosystem at Meta. This role is a founding senior IC on a new analytics team focused on integrating AI into Meta's products and processes. The role involves shaping product development, measuring impact, strategizing investments, and guiding teams with data-driven insights. Responsibilities include collaborating with cross-functional partners, contributing to technical vision, building and improving AI development/experimentation/measurement systems, and leading data scientists and managers. Requires experience in predictive modeling, ML, experimentation, ethical AI practices, and AI skill development like prompt engineering and agent orchestration. | Ship | 7 |
| Product Manager, Central Product Product Manager to lead AI-native product development at scale, defining AI strategies, overseeing product vision, roadmap, and execution. This role requires critically evaluating AI's role, translating capabilities into product visions, developing comprehensive AI strategies with evals and data strategies, and scaling AI best practices across product teams. The PM will orchestrate execution using AI automation and human oversight, foster experimentation, and mentor others on AI-native practices. | Ship | 7 |