---
title: 'Technical Product Manager at Alluxio'
canonical: 'https://feeny.ai/job/technical-product-manager-alluxio-foster-city-54k1xwm9bpgv'
type: 'job'
last_seen: '2026-09-10'
---

# Technical Product Manager at Alluxio

- **Company:** Alluxio
- **Location:** Foster City, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-08-22
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.lever.co/alluxio/e7e0f8a4-83ed-416b-9f95-7f3ed8abfa52

## 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.

## 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.

Alluxio is an equal opportunity employer and does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

The salary range for this full-time position in the United States is $190,000 - $240,000 depending on experience and level, subject to standard withholding and applicable taxes. All candidates will also receive equity (stock options) and access to a comprehensive benefits package. The base salary range reflects the minimum and maximum target for candidates across all US locations. The specific compensation awarded will be based on factors such as work location, skills, experience, and relevant education or training. Our Recruiting Team or Hiring Manager will provide more details about the specific salary range during the recruitment process.

## About Alluxio

## Company Overview
- **One-liner**: Alluxio provides a high-performance distributed caching platform that accelerates AI and data-intensive workloads across hybrid and multi-cloud environments.
- **Entity Type**: Private (Series C)
- **Headquarters**: San Mateo, California, United States
- **Founded**: 2015
- **Founders**: Haoyuan "H.Y." Li

## Core Business
- **Primary industry**: AI Data Infrastructure, High-Performance Data Caching
- **Target customers**: B2B; AI and Data Platform teams at large internet companies, enterprises, and organizations running AI/ML workloads
- **Mission or purpose statement**: To empower all AI and data teams to unlock the full potential of their data and drive innovation — freeing developers to focus on creating business impact without being burdened by concerns about data access, storage, or infrastructure complexity.

## Products & Services
- **Alluxio AI Acceleration Platform**: A high-throughput, low-latency distributed caching layer that sits between compute (model training, inference servers, feature stores) and persistent storage (cloud/S3, data lakes, HDFS, NFS). It accelerates the full AI lifecycle — from data preparation to training to inference — without requiring data migration, code rewrites, or workflow changes. Supports S3 API, POSIX, and Python, and works across single, multi, hybrid, and on-premises cloud environments.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company)
- **Key Metric**: Annual Revenue of $25M (estimated); Total Funding of $73M
- **Notable Investors/Partners**:
    - Andreessen Horowitz (led Series A and Series B)
    - Hillhouse Investment (led Series C)
    - Seven Seas Partners (led Series B)
    - Volcanics Venture (participated in Series B)
- **Growth Signals**:
    - Powers nine of the world’s top ten internet companies.
    - Estimated headcount of 67 employees (-5.1% YoY), with offices in the US, China, Hong Kong, Singapore, and Chile.
    - Customers achieve sub-millisecond time-to-first-byte (TTFB) latency and over a TB/sec of throughput.

## Competitive Advantages
- **Data Caching, Not Storage**: Alluxio acts as a transparent acceleration layer — it doesn’t replace existing storage, avoiding vendor lock-in or data migration.
- **AI-Native & Cloud-Agnostic**: Purpose-built for deep learning frameworks (PyTorch, TensorFlow, Spark, Ray) and works out-of-the-box with any cloud, on-prem, or hybrid setup.
- **Developer-Friendly**: Requires no code changes, workflow modifications, or replatforming — built-in support for S3 API, POSIX, and Python means teams adopt it with zero friction.
- **Hard Moat**: Institutional trust — nine of the world’s top ten internet companies rely on the platform, creating steep switching costs and defensive network effects.

## Strategic Focus
- Doubling down on AI acceleration as the primary growth vector, bridging the gap between GPU scarcity and data access latency.
- Continued investment in hybrid and multi-cloud compatibility to serve enterprises with complex infrastructure footprints.
- Growing engineering headcount in distributed systems and AI infrastructure, with open roles for Senior Software Engineers in both the US (Foster City, CA) and China (Beijing/Shanghai).

## Why Work Here
- **Culture**: Described by employees as collaborative, supportive, and innovative, with a leadership team that is open and values work-life balance.
- **Hybrid & Remote**: Roles are offered in hybrid (Foster City, CA), on-site (Beijing/Shanghai), and some remote arrangements depending on the function.
- **Perks**:
    - Flexible vacation policy
    - Comprehensive medical, dental, and vision coverage
    - Commute reimbursement (monthly stipend)
    - Paid parental leave
    - Daily lunch, dinner, and weekly boba in the Foster City office
    - Unlimited snacks and drinks in the office
    - Monthly team bonding events and celebrations
- **Engineering culture**: Positions emphasize working on foundational distributed systems that power AI innovation; team is described as world-class and highly skilled.

## Sources
1. [alluxio.io - About](https://www.alluxio.io/about)
2. [alluxio.io - Careers](https://www.alluxio.io/careers)
3. [jobs.lever.co/alluxio](https://jobs.lever.co/alluxio)
4. [alluxio.io - Home](https://www.alluxio.io/?lang=en)
5. [linkedin.com/company/alluxio-inc-](https://www.linkedin.com/company/alluxio-inc-)

## Other roles at Alluxio

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- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-alluxio-foster-city-09mhdfht3ydv) — Foster City, CA
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