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About the Team:
We build the shared ML and AI capabilities that power experiences across our consumer products. Our work spans the platform that enables teams to develop, evaluate, and deploy models, and the intelligence that helps those models understand content, people, and communities. We partner with consumer product teams and infrastructure engineering to turn advances in ML and AI into reusable capabilities that improve discovery, personalization, and other consumer experiences.
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About the Role:
We’re looking for a senior individual contributor to lead product strategy across ML Platform and ML Understanding. Reporting to Consumer product leadership, you’ll shape the foundations that help teams build better products: from reliable, efficient model development and deployment to richer classifications and representations of content and users. This role combines technical depth, consumer product judgment, and organizational influence. You’ll connect needs across applications, identify the investments with the greatest shared value, and align product and engineering leaders around a coherent strategy with measurable outcomes.
What You'll Do:
Set the strategy for shared AI foundations. Define a multiyear vision and prioritized roadmap spanning ML platform capabilities and content and user understanding. Connect foundational investments to consumer outcomes. Translate needs across recommendations, search, discovery, and emerging AI experiences into clear requirements and investment priorities. Advance content and user understanding. Guide investments in classification, taxonomies, embeddings, multimodal understanding, and representations of user interests and intent. Improve the ML development lifecycle. Partner with engineering on capabilities for data and feature access, training, inference, evaluation, deployment, and monitoring. Make shared capabilities useful and widely adopted. Establish clear interfaces, onboarding paths, and feedback mechanisms that help application teams build on common foundations. Lead investment and technical tradeoffs. Align senior partners on sequencing, dependencies, and decisions involving model quality, flexibility, reliability, latency, and cost. Define and demonstrate success. Measure platform adoption, development velocity, model and representation quality, operational efficiency, and downstream improvements in consumer experiences.
What We're Looking For:
A track record of leading complex ML or AI products, with experience in shared platforms, recommendation systems, search, or related technical domains. Strong technical fluency across the ML lifecycle and the ability to engage deeply with engineering and applied science partners on architecture and investment decisions. Experience with content understanding, classification, embeddings, or user representations, and an understanding of how their quality affects consumer products. Product judgment that connects foundational capabilities to concrete user needs, adoption, and measurable business impact. Demonstrated ability to establish direction across multiple teams, resolve competing priorities, and influence senior leaders without direct authority. Comfort defining strategy in ambiguous spaces while maintaining clear priorities, credible execution plans, and accountability for outcomes. Sound judgment about evaluation, data quality, privacy, and the responsible use of content and user signals.