Vast.ai
Product Manager — Agentic AI Marketplace
Vast.ai, San Francisco, California, United States, 94199
Product Manager — Agentic AI MarketplaceProduct Manager — Agentic AI Marketplace
About Vast.ai
If the following job requirements and experience match your skills, please ensure you apply promptly.
Vast.ai democratizes and decentralizes AI by running the world’s largest peer-to-peer GPU marketplace. Our platform already powers thousands of training runs and production workloads at a fraction of hyperscale prices. Now we’re expanding that marketplace to autonomous coding agents and agent-powered services—and we need a product leader who can see around corners. About Vast.ai
Vast.ai democratizes and decentralizes AI by running the world’s largest peer-to-peer GPU marketplace. Our platform already powers thousands of training runs and production workloads at a fraction of hyperscale prices. Now we’re expanding that marketplace to autonomous coding agents and agent-powered services—and we need a product leader who can see around corners.
Onsite 5 days a week at
100 1st St, San Francisco
Why this role matters
Greenfield ownership. You’ll define v0.1 of a developer-facing agent platform—everything from core workflows to monetization levers. Direct line to the founder. All technical functions report to CEO/CTO Jake Cannell; you’ll work side-by-side with research engineering on strategy and execution. Massive leverage. Vast’s GPU liquidity, thriving developer base, and profitable core business give you unique strategic ammo others lack. Space to run. We prize intensity, autonomy, and principled contrarianism over credentialism.
What you’ll do in your first month
Map the landscape of coding-first AI agents, competitor SDKs, and emerging open-source tooling; distill a differentiated wedge that plays to Vast’s strengths. Translate fuzzy research breakthroughs into an initial set of lovable developer workflows (agent creation, deployment, revenue sharing, usage metering). Define success metrics that capture marketplace liquidity, model performance, and end-user ROI—and build the telemetry to measure them. Partner with BD to recruit lighthouse launch partners and supply-side agent authors. Evangelize inside and out: write public-facing updates, record demo videos, and present at developer events.
The role
We’re seeking a highly motivated, technically adept Product Manager to help build the next generation of agentic AI systems. You will work closely with our technical founder and diverse research team to define and execute product strategy at the forefront of AI innovation. We’re looking for someone with a deep, holistic understanding of AI/ML technologies who is passionate about driving forward the state of the art.
5 Days+ On-site at our SF office
We’re looking for
5–10 yrs in product leadership with at least one zero-to-one software platform or marketplace shipped. Deep technical fluency. You can debate model architectures with research scientists, reason about GPU cost curves, and jump into a REPL to unblock a prototype. Customer-obsessed storytelling. Ability to synthesize user pain, market signals, and raw research into a crisp narrative and roadmap.\ Bias for action & intellectual honesty. You test hypotheses with scrappy prototypes and rigorously kill the ones that don’t pan out. Credibility with the frontier-AI crowd. Past tours at OpenAI, Anthropic, Google DeepMind, Windsurf, Scale, Replit—or comparable—are strong signals, but not hard prerequisites.
Bonus points
Shipped developer-facing tooling (APIs, SDKs, CLIs) or run a two-sided marketplace. Hands-on experience with LLM fine-tuning, retrieval-augmented generation, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph). Prior founder → you know how to grind, negotiate ambiguity, and own outcomes.
Compensation & benefits
Base salary: $180 k – $320 k + early-stage equity. Benchmarked against 2025 AI PM averages (~$188 k) with room for outsized performers. ZipRecruiter Comprehensive health, dental, vision, 401(k); conference & compute budget; unlimited GPUs for personal projects.
How to apply
Send a concise note (no cover-letter boilerplate) and résumé/GitHub/portfolio to jobs@vast.ai with the subject “Product Manager — Agents”. Include:
One product you shipped end-to-end and what you’d do differently in hindsight. A brief take on why agent marketplaces will—or won’t—win the next platform cycle.
We review every application personally and move fast. If this ad quickened your pulse more than it raised your eyebrows, we should talk.Seniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionProduct Management IndustriesFood and Beverage Services, Manufacturing, and Food and Beverage Manufacturing Referrals increase your chances of interviewing at Vast.ai by 2x Get notified about new Product Manager jobs in
San Francisco, CA . San Francisco, CA $202,000.00-$277,000.00 2 weeks ago San Francisco, CA $160,000.00-$220,000.00 4 months ago San Francisco, CA $142,000.00-$201,000.00 2 days ago Senior Product Manager - Verified Identity Growth We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
About Vast.ai
If the following job requirements and experience match your skills, please ensure you apply promptly.
Vast.ai democratizes and decentralizes AI by running the world’s largest peer-to-peer GPU marketplace. Our platform already powers thousands of training runs and production workloads at a fraction of hyperscale prices. Now we’re expanding that marketplace to autonomous coding agents and agent-powered services—and we need a product leader who can see around corners. About Vast.ai
Vast.ai democratizes and decentralizes AI by running the world’s largest peer-to-peer GPU marketplace. Our platform already powers thousands of training runs and production workloads at a fraction of hyperscale prices. Now we’re expanding that marketplace to autonomous coding agents and agent-powered services—and we need a product leader who can see around corners.
Onsite 5 days a week at
100 1st St, San Francisco
Why this role matters
Greenfield ownership. You’ll define v0.1 of a developer-facing agent platform—everything from core workflows to monetization levers. Direct line to the founder. All technical functions report to CEO/CTO Jake Cannell; you’ll work side-by-side with research engineering on strategy and execution. Massive leverage. Vast’s GPU liquidity, thriving developer base, and profitable core business give you unique strategic ammo others lack. Space to run. We prize intensity, autonomy, and principled contrarianism over credentialism.
What you’ll do in your first month
Map the landscape of coding-first AI agents, competitor SDKs, and emerging open-source tooling; distill a differentiated wedge that plays to Vast’s strengths. Translate fuzzy research breakthroughs into an initial set of lovable developer workflows (agent creation, deployment, revenue sharing, usage metering). Define success metrics that capture marketplace liquidity, model performance, and end-user ROI—and build the telemetry to measure them. Partner with BD to recruit lighthouse launch partners and supply-side agent authors. Evangelize inside and out: write public-facing updates, record demo videos, and present at developer events.
The role
We’re seeking a highly motivated, technically adept Product Manager to help build the next generation of agentic AI systems. You will work closely with our technical founder and diverse research team to define and execute product strategy at the forefront of AI innovation. We’re looking for someone with a deep, holistic understanding of AI/ML technologies who is passionate about driving forward the state of the art.
5 Days+ On-site at our SF office
We’re looking for
5–10 yrs in product leadership with at least one zero-to-one software platform or marketplace shipped. Deep technical fluency. You can debate model architectures with research scientists, reason about GPU cost curves, and jump into a REPL to unblock a prototype. Customer-obsessed storytelling. Ability to synthesize user pain, market signals, and raw research into a crisp narrative and roadmap.\ Bias for action & intellectual honesty. You test hypotheses with scrappy prototypes and rigorously kill the ones that don’t pan out. Credibility with the frontier-AI crowd. Past tours at OpenAI, Anthropic, Google DeepMind, Windsurf, Scale, Replit—or comparable—are strong signals, but not hard prerequisites.
Bonus points
Shipped developer-facing tooling (APIs, SDKs, CLIs) or run a two-sided marketplace. Hands-on experience with LLM fine-tuning, retrieval-augmented generation, or agentic frameworks (e.g., AutoGen, CrewAI, LangGraph). Prior founder → you know how to grind, negotiate ambiguity, and own outcomes.
Compensation & benefits
Base salary: $180 k – $320 k + early-stage equity. Benchmarked against 2025 AI PM averages (~$188 k) with room for outsized performers. ZipRecruiter Comprehensive health, dental, vision, 401(k); conference & compute budget; unlimited GPUs for personal projects.
How to apply
Send a concise note (no cover-letter boilerplate) and résumé/GitHub/portfolio to jobs@vast.ai with the subject “Product Manager — Agents”. Include:
One product you shipped end-to-end and what you’d do differently in hindsight. A brief take on why agent marketplaces will—or won’t—win the next platform cycle.
We review every application personally and move fast. If this ad quickened your pulse more than it raised your eyebrows, we should talk.Seniority level
Seniority levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionProduct Management IndustriesFood and Beverage Services, Manufacturing, and Food and Beverage Manufacturing Referrals increase your chances of interviewing at Vast.ai by 2x Get notified about new Product Manager jobs in
San Francisco, CA . San Francisco, CA $202,000.00-$277,000.00 2 weeks ago San Francisco, CA $160,000.00-$220,000.00 4 months ago San Francisco, CA $142,000.00-$201,000.00 2 days ago Senior Product Manager - Verified Identity Growth We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr