---
title: 'GTM Engineer at Inferact'
canonical: 'https://feeny.ai/job/gtm-engineer-inferact-san-francisco-4kw95nqkxq2p'
type: 'job'
last_seen: '2026-10-13'
---

# GTM Engineer at Inferact

- **Company:** Inferact
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-29
- **Last confirmed live:** 2026-10-13
- **Apply:** https://jobs.ashbyhq.com/inferact/a5184e77-78e0-4436-babe-9e5849cbb1a3

## 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 Go-to-Market Engineer to build the commercial operating system for Inferact from the ground up. The GTM organization is early enough that core infrastructure such as CRM structure, account intelligence, standardized workflows, and repeatable operating processes are still being defined. You'll partner closely with commercial leadership to turn fragmented information into systems that make the team faster, more focused, and more effective. This is primarily a hands-on GTM engineering role, combining technical building with a secondary RevOps remit. Early projects will include creating a clean commercial source of truth, helping define the sales process, mining Inferact's unique ecosystem and community data to identify high-value prospects and warm paths, and building the workflows and automation that support targeted selling. As the ICP becomes clearer, you'll help evolve the system toward scalable prospecting, reporting, and commercial execution without adding unnecessary process. As the sales team grows, you'll also help define rep onboarding and training and support sales compensation planning, with those broader RevOps needs expected from 2027 at the earliest.

## Skills and Qualifications

Minimum qualifications:

- Experience building or operating go-to-market systems, revenue operations, sales operations, or GTM engineering workflows in a startup or high-growth technology environment.
- Hands-on experience implementing and structuring a CRM, including account and opportunity data models, pipeline stages, required fields, routing, process hygiene, and reporting.
- Strong ability to work with data, APIs, integrations, enrichment sources, automation tools, and lightweight scripting to turn fragmented commercial information into usable workflows.
- Understanding of how an early-stage sales organization operates, including ICP definition, prospect research, pipeline management, handoffs, follow-up, and the difference between useful process and unnecessary process.
- Ability to take a blank-sheet problem, identify the highest-leverage operating system to build, and ship it without waiting for detailed requirements.
- Strong communication and collaboration skills with the ability to work directly with commercial leadership, founders, product, engineering, and external implementation partners.
- Ability to translate commercial needs into clear system and data requirements and communicate tradeoffs to both technical and non-technical stakeholders.

Preferred qualifications:

- Experience building 0-to-1 GTM infrastructure before a company had a mature CRM, documented ICP, or standardized sales process.
- Experience mining proprietary or community data sources to identify high-value accounts, warm paths, customer signals, or technically relevant prospects.
- Experience with AI-native or modern GTM workflows, including research automation, enrichment, account intelligence, workflow orchestration, and highly personalized outbound support.
- Experience supporting developer tools, AI infrastructure, open-source software, cloud platforms, or another highly technical B2B product.
- Comfort combining hands-on GTM engineering with RevOps judgment; experience defining rep onboarding and training or supporting sales compensation plans is a plus for the role's longer-term scope.

Bonus points if you have:

- Built a CRM and commercial operating cadence from scratch for an early-stage startup.
- Created account research, enrichment, warm-intro mapping, or prospect prioritization systems that materially improved seller focus.
- Automated repetitive GTM workflows while preserving high-quality human judgment for strategic accounts.
- Worked with open-source communities or product-usage data as a source of commercial intelligence.
- Built internal GTM tools, dashboards, agents, or data pipelines that became core infrastructure for a commercial team.

Logistics

- Location: This role is based in San Francisco, California and is on-site.
- Compensation: Compensation will be determined based on background, skills, and experience. Offers include equity.
- 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

- [Strategic Finance Lead](https://feeny.ai/job/strategic-finance-lead-inferact-san-francisco-8w870avftckq) — San Francisco, CA
- [Controller](https://feeny.ai/job/controller-inferact-san-francisco-8ccr4mehhhdv) — San Francisco, CA
- [Member of Technical Staff, Vulnerability Management](https://feeny.ai/job/member-of-technical-staff-vulnerability-management-inferact-san-francisco-28n91fzms5pv) — San Francisco, CA
- [Member of Technical Staff, Forward Deployed Engineer](https://feeny.ai/job/member-of-technical-staff-forward-deployed-engineer-inferact-san-francisco-a1wq0bc1fbfk) — San Francisco, CA
- [Enterprise Partnerships Manager](https://feeny.ai/job/enterprise-partnerships-manager-inferact-san-francisco-56fh7h15hft3) — San Francisco, CA
- [Graphic Designer](https://feeny.ai/job/graphic-designer-inferact-san-francisco-vrkzf7acr3fg) — San Francisco, CA
- [Social Media Manager](https://feeny.ai/job/social-media-manager-inferact-san-francisco-8265d2aybdpm) — San Francisco, CA
- [Technical Product Marketing Manager](https://feeny.ai/job/technical-product-marketing-manager-inferact-san-francisco-ts8bahbsbvv7) — San Francisco, CA
- [Field Marketing Manager](https://feeny.ai/job/field-marketing-manager-inferact-san-francisco-ve91k1kbsy1y) — San Francisco, CA
- [Member of Technical Staff, Cluster Administration](https://feeny.ai/job/member-of-technical-staff-cluster-administration-inferact-singapore-98dzry95tnmf) — Singapore