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Technical Product Manager, Infrastructure

Vast AI Los Angeles FullTime QA Posted 3w+ ago
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Culture signals in this specific role

Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.

OwnershipThe description emphasizes ownership or end-to-end responsibility.
Cross-functionalThe role explicitly involves collaboration across teams or functions.
Fast-pacedThe wording signals a fast-moving environment with changing priorities.
Deep technical workThe role highlights substantial technical, research, or systems work.
Operational responsibilityThe description includes production, reliability, or operational responsibility.

What it’s like to work at Vast AI

GPU Cloud Marketplace · LA & SF

5
Employee Rating
3.8
Work-Life Balance
13
Open Roles
eng-drivenship-fastflatmany-hatsequity

What employees love

  • Front-row seat to the AI compute revolution — demand for GPU cloud is surging
  • Strong compensation and generous equity stakes for a bootstrapped startup

What could be better

  • Processes are still being defined — expect ad hoc workflows
  • Intense workload — the team explicitly values high output
View full Vast AI culture profile →

About the Role

About Us

Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for the benefit of humanity.

We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out-sized, and leadership is earned by shipping excellence.

About the Role

Vast.ai is seeking a Technical Product Manager to drive the backend our GPU cloud marketplace runs on. This is the software behind every live GPU rental (over 700k transactions a month): the daemon on every host's machines, the orchestration that powers each instance, and the infrastructure and test systems that let us ship it all at high velocity.

The Scale: With over 20k GPUs, our AI cloud platform powers thousands of bleeding-edge training runs and critical production workloads for 120k+ developers all over the planet. This is a product with real scale, real data, and real users from day one. The work you ship moves tangible revenue in weeks, not quarters.

The Challenge: We don't own the GPUs. Thousands of independent hosts price and operate them, and no two machines are alike. Your job is to make that heterogeneous, decentralized supply behave like the top-tier cloud our customers expect: fast, secure, and reliable.

What You'll Own

You'll drive the infrastructure, security, and reliability roadmap: sequencing competing priorities, turning non-functional requirements into specs engineering can build, and seeing them through until they ship. You'll own the metrics that prove it worked: platform uptime, fleet reliability, cost-to-serve. Initial focus areas:

Ideal Experience

You Are

Tech Stack

Python, C++, SQL/PostgreSQL, Redis, Linux, Docker, AWS, Terraform, REST APIs, LLMs/AI agents

Interview Process

Annual Salary Range

$170,000–$240,000 base depending on experience, plus equity. We're profitable, venture-backed, and growing, so the equity is a stake in a real company with a real valuation, not a lottery ticket.

Benefits

LOCATION: On-site at our office in Los Angeles (Westwood).

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Frequently Asked Questions

What is the work-life balance like at Vast AI?
Vast AI has a work-life balance score of 3.8/5 based on employee reviews. This is about average for the AI/tech industry.
What is Vast AI’s culture like?
Vast AI is characterized by these culture values: eng-driven, ship-fast, flat, many-hats, equity. Based on employee reviews, the company has an overall rating of 5/5. Front-row seat to the AI compute revolution — demand for GPU cloud is surging
How many open roles does Vast AI have?
Vast AI currently has 13 open roles across departments including engineering, product, sales, and more. Roles are refreshed daily from their careers page.
Is this role remote-friendly?
This role is located in Los Angeles. Check the job description above for specific location and remote work details.
Apply for this role at Vast AI →