Technical Product Manager, Infrastructure

Posted 2 Days Ago
Be an Early Applicant
Los Angeles, CA, USA
In-Office
170K-240K Annually
Mid level
Artificial Intelligence • On-Demand • Software
The AI Infrastructure Platform: scalable, efficient, on-demand GPUs
The Role
Own the infrastructure, security, scalability, observability, and reliability roadmap for a decentralized GPU cloud marketplace. Translate non-functional requirements into engineering specifications, prioritize initiatives, and drive delivery. Manage platform metrics including uptime, fleet reliability, latency, and cost-to-serve. Partner across engineering and leadership to improve distributed systems, compliance, abuse prevention, and infrastructure tooling at significant scale.
Summary Generated by Built In
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:

  • Scalability & performance. Keep the core systems fast and ahead of demand as the marketplace grows, from database performance to end-to-end latency.

  • Security, trust & compliance. Harden the platform against attacks and abuse, and build the compliance roadmap enterprise customers need.

  • Observability & infra tooling. Give every engineer a clear view of platform health, and every host a clear view of their fleet. Own the metrics, tracing, and tooling behind it.

Ideal Experience
  • 3+ years as a backend engineer AND 3+ years in product management

  • Hands-on experience with several of: security, scalability, reliability at scale, infrastructure tooling, distributed systems, observability, abuse/fraud prevention, compliance

  • Industry experience in one or more of the following areas: software infrastructure, developer tooling (APIs, SDKs, CLIs), AI/ML, cloud computing, GPUs, or two-sided marketplaces

  • Experience at a fast-paced startup or rapid-growth team

You Are
  • AI-native. You work with AI agents every day, and you want to build the compute layer the AI era runs on.

  • Deeply technical. You came up as an engineer, and you reason about scalability, security, and efficiency as product concerns, not afterthoughts.

  • Persuasive across the stack. You can make a technical tradeoff legible to c-suite and a thankless migration compelling to the team doing it.

  • Biased toward action. You'd rather ship the fix today than present the plan next week.

Tech Stack

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

Interview Process
  • Initial screening (virtual)

  • Deep dive on the role and your experience (virtual)

  • Live product and technical assessment (virtual)

  • In person panel interview + product and technical assessment (on-site)

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
  • Comprehensive health, dental, vision, and life insurance

  • 401(k) with company match

  • Meaningful early-stage equity

  • Onsite meals, snacks, and close collaboration with founders/tech leaders

  • Ambitious, fast-paced startup culture where initiative is rewarded

  • Ample AI agent budget

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

Skills Required

  • 3+ years of experience as a backend engineer
  • 3+ years of experience in product management
  • Hands-on experience with several areas including security, scalability, reliability at scale, infrastructure tooling, distributed systems, observability, abuse or fraud prevention, and compliance
  • Industry experience in software infrastructure, developer tooling, AI/ML, cloud computing, GPUs, or two-sided marketplaces
  • Experience at a fast-paced startup or rapid-growth team
  • Experience working with AI agents and AI-native tools
  • Deep technical understanding of scalability, security, and efficiency as product concerns
  • Ability to communicate technical tradeoffs to executives and engineering teams
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Los Angeles, CA
41 Employees
Year Founded: 2018

What We Do

Vast.ai is the market leader for low cost GPU rentals. The service connects data centers and professionals running the Vast hosting software with users who can quickly find the best deals for compute according to their specific requirements. Vast.ai GPU rentals are ~3-5X cheaper than current alternatives. Consumer computers and consumer GPUs in particular are considerably more cost effective than equivalent enterprise hardware. We are helping the millions of underutilized consumer GPUs around the world enter the cloud computing market for the first time.

Similar Jobs

Doximity Logo Doximity

Counsel

Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Easy Apply
In-Office or Remote
San Francisco, CA, USA
740 Employees
184K-214K Annually

BAE Systems, Inc. Logo BAE Systems, Inc.

Designer

Aerospace • Hardware • Information Technology • Security • Software • Cybersecurity • Defense
Hybrid
San Diego, CA, USA
40000 Employees
66K-106K Annually

Benchling Logo Benchling

Product Manager

Cloud • Healthtech • Social Impact • Software • Biotech
Hybrid
San Francisco, CA, USA
605 Employees
163K-307K Annually

Benchling Logo Benchling

Product Manager

Cloud • Healthtech • Social Impact • Software • Biotech
Hybrid
San Francisco, CA, USA
605 Employees
227K-307K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees
Vega Thumbnail
Artificial Intelligence • Automotive • Insurance • Transportation
US
43 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account