# Technical Product Manager

**Company**: Alluxio
**Location**: San Francisco
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/alluxio/e7e0f8a4-83ed-416b-9f95-7f3ed8abfa52
**Canonical**: https://yubhub.co/jobs/job_3c4831ed-fa8

## Description

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.

### Responsibilities

- Define the long-term vision and roadmap for Alluxio's AI data platform, covering inference, training, and agentic workloads.

- Collaborate with engineering to design features that deliver high-throughput, low-latency data access (e.g., GPU-aware caching, streaming reads, tiered prefetching).

- Ensure seamless integration with frameworks like PyTorch, TensorFlow, Ray, and Triton; evolve Alluxio's APIs for AI-native workloads.

- Engage directly with enterprise AI teams to understand workload patterns, validate impact, and prioritize roadmap direction.

- Stay ahead of trends in multi-model serving, retrieval-augmented generation (RAG), and agentic orchestration; translate them into actionable product plans.

### Requirements

- 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.

### Benefits

- 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.

## Skills

### Required
- Distributed systems
- Caching
- Cloud orchestration
- Kubernetes
- AWS/GCP/Azure
- PyTorch
- TensorFlow
- Triton
- Ray
- LangChain