Technical Product Manager

**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 [](http://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**. ### What You'll Own - **AI Product Strategy** — define the long-term vision and roadmap for Alluxio’s AI data platform, covering inference, training, and agentic workloads. - **Systems Optimization for AI** — collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching). - **AI Ecosystem Integration** — ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio’s APIs for AI-native workloads. - **Customer & Partner Collaboration** — engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction. - **Market Awareness & Foresight** — stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans. ### What We’re Looking For - **5–9 years** of experience in product management or technical leadership within AI infrastructure, ML platforms, or distributed systems. - Strong understanding of **AI/ML workflows** — from model training and deployment to inference and data-access pipelines. - Proven track record of delivering infrastructure features that improve **latency, GPU utilization, or total cost of ownership**. - Technical fluency with **distributed systems, caching, and cloud orchestration** (Kubernetes, AWS/GCP/Azure). - Familiarity with AI frameworks such as **PyTorch, TensorFlow, Triton, Ray, or LangChain**. - Exceptional communication and strategic thinking — ability to translate complex systems work into clear, prioritized roadmaps. ### Why Join Alluxio? - Shape how the world’s most advanced AI systems access and process data. - Work at the intersection of **distributed systems, AI acceleration, and open source**. - Collaborate with world-class engineers, researchers, and customers driving the AI frontier. - Competitive compensation and equity package with comprehensive benefits. - A culture built on curiosity, empathy, and deep technical rigor.