---
title: 'Product Marketing Manager at Inferact'
canonical: 'https://feeny.ai/job/product-marketing-manager-inferact-san-francisco-ap07axndjdjb'
type: 'job'
last_seen: '2026-09-08'
---

# Product Marketing Manager at Inferact

- **Company:** Inferact
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-23
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/inferact/2eaf94cb-47f9-4aec-a293-c6052fef3511

## Job description

## Overview

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster. Founded by the creators and core maintainers of vLLM, we sit at the intersection of models and hardware, a position that took years to build.

## About the Role

We’re looking for a Product Marketing Manager to accelerate vLLM’s position as the leading open-source inference engine and publicize Inferact’s role in driving its development. This role sits at the intersection of product marketing, events, partner marketing, community, and growth. You’ll help turn a high volume of conference and ecosystem demand into a proactive GTM motion that builds brand awareness, community engagement, and qualified momentum around vLLM and Inferact

You’ll own end-to-end execution for conferences, partner events, hosted events, landing pages, speaker coordination, booth needs, collateral, follow-up workflows, and the many details that make technical events successful. You’ll develop and strengthen relationships between Inferact and major corporate and ecosystem partners, while shaping the messaging and presence of both vLLM and Inferact, while developing . You’ll work closely with product, engineering, leadership, partners, and design collaborators. This is a hands-on 0-to-1 role for someone with strong taste, high urgency, and an AI-native way of working.

## Skills and Qualifications

Minimum qualifications:

- Bachelor's degree or equivalent experience in marketing, product, computer science, business, communications, or a related field.
- Strong product marketing or GTM fundamentals, including positioning, messaging, audience definition, narrative development, and practical execution.
- AI-native operating style, with regular use of modern AI tools to accelerate writing, research, planning, landing pages, workflows, asset drafts, and execution.
- Experience owning events, conferences, partner activations, launches, or community programs end-to-end, including logistics, timelines, vendors, speakers, assets, landing pages, and follow-up.
- Strong taste and judgment around brand, tone of voice, event experience, marketing quality, and developer-facing credibility.
- Ability to operate autonomously in a startup environment, proactively recommend what should happen next, and execute without needing every step prescribed.
- Ability to work credibly with product, engineering, founders, partners, design agencies, and technical communities.

Preferred qualifications:

- Experience marketing to developers, infrastructure engineers, ML engineers, technical founders, open-source communities, or AI / developer tools audiences.
- Experience with AI infrastructure, developer tools, model serving, cloud platforms, open-source infrastructure, or other technical products.
- Experience running partner marketing or co-marketing programs with ecosystem partners such as cloud providers, hardware companies, infrastructure platforms, or developer communities.
- Ability to personally create or coordinate landing pages, event pages, simple websites, forms, briefs, and campaign assets using AI, no-code tools, or lightweight technical workflows.
- Experience building 0-to-1 marketing programs, event playbooks, launch motions, or community programs in a startup or high-ambiguity environment.

Bonus points if you have:

- Built an event or community strategy that materially improved brand awareness, partner momentum, developer mindshare, or qualified pipeline.
- Worked in or around AI infrastructure, open-source infrastructure, developer tools, data infrastructure, cloud, GPU, or technical SaaS ecosystems.
- Created high-quality technical marketing assets, launch narratives, event experiences, partner campaigns, or developer-facing content that you can walk through in detail.
- Partnered with design agencies or external creative teams while maintaining speed, quality, and brand consistency.
- Helped a startup move from reactive marketing execution to a proactive 6-12 month GTM, events, or community plan.

Logistics

- Location: This role is based in San Francisco, California. Will consider remote in the US for exceptional candidates.
- Visa sponsorship: We sponsor visas on a case-by-case basis.
- Benefits: Inferact offers generous health, dental, and vision benefits as well as 401(k) company match.

## About Inferact

## Company Overview
- **One-liner**: Inferact is a startup founded by the creators of vLLM, the leading open-source LLM inference engine, dedicated to making AI inference cheaper and faster at global scale.
- **Entity Type**: Private (Seed stage; raised $150M in seed funding)
- **Headquarters**: San Francisco, California, United States (with a second office in Singapore)
- **Founded**: 2025
- **Founders**: Simon Mo (CEO), Woosuk Kwon, Kaichao You (Chief Scientist), Roger Wang, Joseph Gonzalez, Ion Stoica

## Core Business
- **Primary industry**: AI infrastructure / open-source inference engine for large language models
- **Target customers**: AI labs, hyperscalers, startups, and enterprises deploying large-scale AI models (B2B, primarily technical teams)
- **Mission**: Grow vLLM as the world’s AI inference engine and accelerate AI progress by making inference cheaper and faster.

## Products & Services
- **vLLM (Open-Source Inference Engine)**: The core product – an open-source LLM inference engine that supports 500+ model architectures and runs on 200+ accelerator types. Inferact stewards and supercharges vLLM, with all optimizations flowing back to the community.
- **Managed Inference Infrastructure (in development)**: Inferact is building infrastructure to absorb the complexity of deploying frontier models at scale, aiming to make it as simple as spinning up a serverless database.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total funding of $150M (seed round, announced 2026)
- **Notable Investors/Partners**: Lightspeed Venture Partners (lead), Redpoint Ventures, Andreessen Horowitz, Altimeter Capital, Sequoia Capital, The House Fund, GC&H Investments, and others. Partnerships include NVIDIA, Red Hat, DigitalOcean, and Cohere.
- **Growth Signals**: 
  - $150M seed round – one of the largest seed rounds in AI infrastructure.
  - 22 employees with +27.3% monthly headcount growth.
  - vLLM ecosystem: 2,000+ contributors, 500+ model architectures, 200+ accelerator types.
  - Day-zero support for new model architectures (e.g., Cohere’s Command A+) and hardware integrations.
  - Active hiring with 5 open positions across inference, performance, kernel engineering, and cloud orchestration.

## Competitive Advantages
- **Deep ecosystem moat**: vLLM is the de facto standard open-source inference engine, with a massive community and integrations across models and hardware that took years to build.
- **Founding team credibility**: Creators and core maintainers of vLLM, with experience deploying at frontier scale (research and production).
- **Hardware-software co-optimization**: Positioned at the intersection of model innovation and hardware diversity, enabling day-zero compatibility and performance optimizations.
- **Open-source commitment**: All improvements flow back to vLLM, ensuring community trust and rapid adoption.

## Strategic Focus
- **Current priorities**: Push vLLM performance further, deepen support for emerging model architectures (MoE, multimodal, agentic), expand hardware coverage (200+ accelerators), and build managed infrastructure to simplify deployment.
- **Growth direction**: Close the capability gap between models and serving systems; absorb complexity so teams can focus on innovation rather than infrastructure.

## Why Work Here
- **Culture**: High-caliber engineering team with roots in vLLM, PyTorch, and top AI labs. Emphasis on open-source contribution and cutting-edge inference research.
- **Work policy**: Hybrid with a San Francisco HQ; at least one open role (Member of Technical Staff, Exceptional Generalist) is listed as Remote.
- **Notable perks**: Opportunity to work at the frontier of AI inference, directly impact the open-source ecosystem, and collaborate with partners like NVIDIA, Red Hat, and major AI labs.
- **Engineering culture**: Strong focus on systems engineering, kernel optimization, and cloud orchestration – ideal for engineers passionate about performance and infrastructure.

## Sources
1. [inferact.ai](https://inferact.ai/)
2. [LinkedIn](https://www.linkedin.com/company/inferact)
3. [CB Insights](https://www.cbinsights.com/company/inferact)
4. [Sequoia Capital](https://sequoiacap.com/companies/inferact/)
5. [Ashby Jobs](https://jobs.ashbyhq.com/inferact)

## Other roles at Inferact

- [Member of Technical Staff, Inference](https://feeny.ai/job/member-of-technical-staff-inference-inferact-remote-ezb6x9bq2fty)
- [Member of Technical Staff, Cloud Orchestration (Remote)](https://feeny.ai/job/member-of-technical-staff-cloud-orchestration-remote-inferact-remote-pzza0bak1bw7)
- [Member of Technical Staff, Cluster Administration](https://feeny.ai/job/member-of-technical-staff-cluster-administration-inferact-san-francisco-hzy2pmhsv4ca) — San Francisco, CA
- [Member of Technical Staff, Site Reliability Engineer](https://feeny.ai/job/member-of-technical-staff-site-reliability-engineer-inferact-san-francisco-4hdd72zebn0b) — San Francisco, CA
- [Founding Product Designer](https://feeny.ai/job/founding-product-designer-inferact-san-francisco-8fhyc666jrb6) — San Francisco, CA
- [Head of Engineering](https://feeny.ai/job/head-of-engineering-inferact-san-francisco-rhcv5bpns37j) — San Francisco, CA
- [Member of Technical Staff, AMD GPU Performance Engineering](https://feeny.ai/job/member-of-technical-staff-amd-gpu-performance-engineering-inferact-san-francisco-q425hfnsdrh2) — San Francisco, CA
- [Member of Technical Staff, TPU Performance Engineering](https://feeny.ai/job/member-of-technical-staff-tpu-performance-engineering-inferact-singapore-hsapg2c1ks2d) — Singapore
- [Member of Technical Staff, AMD GPU Performance Engineering](https://feeny.ai/job/member-of-technical-staff-amd-gpu-performance-engineering-inferact-singapore-q7jn24nd0rbf) — Singapore
- [Member of Technical Staff, Performance and Scale](https://feeny.ai/job/member-of-technical-staff-performance-and-scale-inferact-singapore-vyavkymh08h3) — Singapore