---
title: 'Head of Sales at Vast.ai'
canonical: 'https://feeny.ai/job/head-of-sales-vast-ai-los-angeles-yrkth8v89kkh'
type: 'job'
last_seen: '2026-09-10'
---

# Head of Sales at Vast.ai

- **Company:** Vast.ai
- **Location:** Los Angeles, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-07
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/vastai/c3012401-acce-4c91-ac79-fc339be47e62

## Job description

Head of Sales Lead and scale the team selling both sides of [Vast.ai](http://Vast.ai)'s GPU marketplace—with revenue on track to 10x. Player-manager role reporting to the COO, onsite 5 days a week in Westwood, Los Angeles.

Los Angeles, CA · On-site · Full-time · $140K–$185K base · ~$260K–$375K OTE · Equity

[Vast.ai](http://Vast.ai) runs one of the leading GPU compute exchanges in the world, and we're moving fast in one of the most competitive markets in tech. Demand for GPUs is exploding, our product surface is expanding, and sales are on track to 10x. We're looking for a hands-on Head of Sales to seize that moment. This role reports directly to the COO.

You will initially lead two quota-carrying reps across enterprise demand and strategic supply. Over the next 12–18 months, you will determine the appropriate team structure, hire against demonstrated capacity, and turn our early sales motion into a repeatable operating system.

This is a player-manager role at an inflection point. You will spend the majority of your time coaching reps, running sales operations, and building the tooling and incentive systems that let us scale without breaking. The revenue engine and team already exist; your mandate is to grow them aggressively. As our product offerings and outreach expand, you'll be the person who scales the sales org behind it—growing the team, the pipeline, and the playbook in lockstep with the business. This role is onsite 5 days a week in our Westwood, Los Angeles office.

## What You Will Do

- Coach and develop our existing demand (renter) and supply (host) sales reps—the majority of your time
- Scale the team: hire, onboard, and ramp new reps as we grow headcount alongside revenue
- Expand and sharpen our sales outreach across an increasing set of product offerings
- Run day-to-day sales operations: pipeline hygiene, forecasting, and CRM discipline in HubSpot
- Investigate, select, and own the sales tool stack; keep it lean and high-signal
- Design and manage commission structures and comp plans, including pod-based incentives, deal splits, and escalators
- Set, own, and track sales goals and quotas across a growing team
- Personally own a small book of strategic and brokered accounts to stay close to the deal
- Partner with Marketing, Product, and Engineering to align go-to-market and feed the roadmap

## What We Need

- Startup experience (required)
- 8+ years in B2B sales, including 3+ years directly coaching and managing quota-carrying reps
- Experience in cloud hosting, data center infrastructure, or GPU rental / compute markets
- Track record of scaling a sales team and revenue in a fast-moving environment
- Strong forecasting, pipeline, and sales-operations discipline
- Hands-on fluency with CRM (HubSpot) and the modern sales tool stack
- Experience designing or managing commission and quota structures
- Comfort operating in ambiguity and building process where little exists
- Keen eye for detail and a bias toward systems over heroics

## Nice To Have

- Experience with consumption-based revenue, marketplace attribution, or other usage-driven sales models.
- Two-sided marketplace sales experience
- Technical fluency with GPUs, ML infrastructure, or developer-facing products
- RevOps depth: comp automation, attribution, and forecasting tooling
- Passionate about the future of AI

What Success Looks Like

- Within 90 days: establish trustworthy pipeline, attribution, forecasting, and weekly operating cadences.
- Within six months: complete the initial team and territory design, make priority hires, and establish distinct demand and supply playbooks.
- Within 12 months: deliver the agreed sales-attributed margin target, materially improve rep productivity, and produce a reliable capacity and hiring plan for the next stage.

## Benefits

- Paid vacation, holidays, and parental leave
- Office meals and snacks
- Westwood proximity/transit stipend
- 401(k) with company match
- Stock options with standard vesting

## About Vast.ai

## Company Overview
- **One-liner**: Vast.ai operates a decentralized GPU marketplace that enables developers and AI agents to provision and manage compute power across a global network of hardware, offering a cost-effective alternative to hyperscaler clouds.
- **Entity Type**: Private (raised $30M in funding)
- **Headquarters**: Los Angeles, CA (1100 Glendon Ave, STE 1840) and San Francisco, CA (100 1st Street, STE 2250)
- **Founded**: 2016 (incorporated June 28, 2016)
- **Founders**: Jake Cannell (CEO) and Christian Horne

## Core Business
- **Primary industry**: Cloud infrastructure / GPU compute / AI infrastructure
- **Target customers**: AI researchers, ML engineers, AI agent developers, enterprises needing GPU compute for training and inference
- **Mission**: "To organize, optimize, and orient the world's computation."
- **Vision**: "To make life substrate-independent through Vast Artificial Intelligence."

## Products & Services
- **GPU Cloud**: On-demand instances across 20,000+ GPUs in 40+ data centers. Deploy via CLI, SDK, Python API. Per-second billing. Real-time pricing set by supply and demand. [vast.ai](https://vast.ai/)
- **Serverless Inference**: Deploy models as endpoints with automatic GPU optimization, auto-scaling to zero, pay-per-compute-time. [vast.ai](https://vast.ai/)
- **GPU Clusters**: Dedicated multi-node clusters with InfiniBand networking for large-scale training. [vast.ai](https://vast.ai/)
- **API & SDK**: REST API, Python SDK, CLI for programmatic compute provisioning. Agent-native interface for autonomous compute procurement. [vast.ai](https://vast.ai/)

## Market Standing
- **Valuation**: Not publicly available
- **Key Metric**: Total funding $30M (as of 2026, per jobsbyculture.com) [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-vast-2026)
- **Notable Investors/Partners**: Not disclosed in available sources
- **Growth Signals**:
  - 310% year-over-year growth (2024–2025)
  - 20,000+ GPUs, 350+ hosts, 700K+ transactions/month
  - SOC 2 Type I certification achieved in 2024
  - Enterprise and Secure Cloud offerings launched; customers include professional data center partners
  - Headcount grew from fully distributed team to 40+ employees across two offices (LA & SF) [vast.ai/about](https://vast.ai/about)
  - Conflicting reports: jobsbyculture.com cites ~30 employees, while vast.ai/about states "40+ employees"

## Competitive Advantages
- **Decentralized marketplace model**: Taps into underutilized GPU hardware (gaming rigs, mining farms, research labs, small data centers) to offer compute at 3–5x cheaper than AWS, no contracts required.
- **Agent-ready infrastructure**: The same API used by developers is designed for AI agents to autonomously procure and optimize compute – a moat for the upcoming agentic economy.
- **Real-time, transparent pricing**: Prices set by supply and demand, programmatically queryable via API. No hidden costs or enterprise sales friction.
- **Heterogeneous hardware support**: 68+ GPU types across 40+ data centers, enabling users to compare and switch between hardware types easily.
- **SOC 2 certified**: Security and compliance for enterprise workloads.

## Strategic Focus
- **Agentic compute**: Building an "infrastructure layer where AI agents design, procure, and optimize their own compute" [vast.ai](https://vast.ai/)
- **Enterprise expansion**: Growing Secure Cloud (certified data centers) and dedicated cluster products for professional customers.
- **Scaling the network**: Increasing GPU count, host partnerships, and geographic diversity while maintaining real-time pricing and low latency.
- **Open infrastructure**: Keeping compute distributed and independent, countering hyperscaler concentration.

## Why Work Here
- **Culture**: "High level of rigor, precision, and professionalism" – employees are stakeholders who own the impact of their work. Fast-paced startup environment where initiative is rewarded. [vast.ai/about](https://vast.ai/about)
- **Work location**: On-site in Los Angeles (Westwood) or San Francisco (SOMA). Not remote – all current openings require on-site presence.
- **Perks**: Comprehensive health/dental/vision insurance, 401(k) with company match, meaningful early-stage equity, onsite meals and snacks, close collaboration with founders and tech leaders. [vast.ai/jobs](https://vast.ai/jobs)
- **Interview process**: Screened by technical team; stages include a 15-min screening, 45-min deep dive, 1-hour LLM-assisted coding assessment, and 2-hour on-site meet-and-greet. Aim to complete in about one week. [vast.ai/jobs](https://vast.ai/jobs)
- **Salary ranges**: For roles like Senior Infrastructure Engineer and GPU Systems Engineer, posted salary $120K–$180K (may vary by role). [vast.ai/jobs](https://vast.ai/jobs)
- **Engineering culture**: Reports directly to CEO/founder Jake Cannell, a prolific writer on AI and compute scaling theory. Emphasis on systems engineering, GPU optimization, and cutting-edge research.

## Sources
1. [vast.ai/about](https://vast.ai/about)
2. [vast.ai](https://vast.ai/)
3. [vast.ai/jobs](https://vast.ai/jobs)
4. [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-vast-2026)
5. [vast.ai/jobs/apply/systems-gpu-research-engineer](https://vast.ai/jobs/apply/systems-gpu-research-engineer)

## Other roles at Vast.ai

- [Developer Relations Engineer](https://feeny.ai/job/developer-relations-engineer-vast-ai-san-francisco-19dx882ce5x1) — San Francisco, CA
- [Controller](https://feeny.ai/job/controller-vast-ai-los-angeles-0d4jvgnj6v48) — Los Angeles, CA
- [AI, HPC & GPU Infrastructure Support Engineer](https://feeny.ai/job/ai-hpc-gpu-infrastructure-support-engineer-vast-ai-los-angeles-40e39w8ek9p1) — Los Angeles, CA
- [Systems Operations Support Engineer — Linux](https://feeny.ai/job/systems-operations-support-engineer-linux-vast-ai-los-angeles-v3hjj8k7jj4v) — Los Angeles, CA
- [Technical Product Manager, Infrastructure](https://feeny.ai/job/technical-product-manager-infrastructure-vast-ai-los-angeles-b0h8y0t8d4fy) — Los Angeles, CA
- [Technical Support Engineer II (Linux)](https://feeny.ai/job/technical-support-engineer-ii-linux-vast-ai-los-angeles-0h1q79ajj6kc) — Los Angeles, CA
- [Director of Engineering](https://feeny.ai/job/director-of-engineering-vast-ai-san-francisco-q3avgemppyhv) — San Francisco, CA
- [Senior Infrastructure Engineer](https://feeny.ai/job/senior-infrastructure-engineer-vast-ai-los-angeles-ejanf64s8d34) — Los Angeles, CA
- [Security Engineer](https://feeny.ai/job/security-engineer-vast-ai-los-angeles-5p7ef9m994ce) — Los Angeles, CA
- [GPU Systems Engineer – HPC / Parallel Computing](https://feeny.ai/job/gpu-systems-engineer-hpc-parallel-computing-vast-ai-san-francisco-e7dn3x08y2sq) — San Francisco, CA