Job Description

About Alluxio:

Alluxio powers the data layer for modern AI and analytics. Proven in production at eight of the top ten internet companies and seven of the ten highest-valued enterprises globally, Alluxio’s open-source data-orchestration platform unifies data across storage systems, regions, and clouds — enabling memory-speed access for large-scale AI and analytics workloads.

Spun out of UC Berkeley’s AMPLab and backed by Andreessen Horowitz, Hillhouse Capital, and Seven Seas Partners, Alluxio sits at the intersection of data, distributed systems, and AI infrastructure.

Our technology is deployed at scale by Meta, Uber, TikTok, Alibaba, Microsoft, and Salesforce, orchestrating data for billions of operations per day.

Learn more at alluxio.io or on Wikipedia.

The Role

We’re hiring a Technical Product Manager to define and execute Alluxio’s AI systems strategy — spanning inference, training, and emerging agentic workloads.

This role bridges the worlds of AI infrastructure and distributed data systems, guiding how Alluxio evolves to serve next-generation model architectures and large-scale data flows.

You’ll partner with engineering, research, and enterprise AI teams to build features that improve latency, throughput, and GPU efficiency for model inference and training — and design the data layer powering the shift toward autonomous, agentic AI systems.

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About Alluxio

Alluxio accelerates data access at every stage of the AI lifecycle – from model training to deployment and inference cold starts to feature store queries – all without replacing your storage or changing your code. Alluxio customers achieve sub-millisecond time-to-first-byte (TTFB) latency and push more than a TB/sec of throughput accessing AI data stored in the cloud. Alluxio deploys as a lightweight, distributed cache between your AI compute workloads (training jobs, feature stores, inference servers) and wherever your AI data is persistently stored (e.g., cloud storage like S3, data lakes, HDFS, NFS, etc).

Technical Product Manager

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