---
title: 'Technical Account Manager - AI Infrastructure at Prime Intellect'
canonical: 'https://feeny.ai/job/technical-account-manager-ai-infrastructure-prime-intellect-san-francisco-sgfa9hsckxqq'
type: 'job'
last_seen: '2026-09-07'
---

# Technical Account Manager - AI Infrastructure at Prime Intellect

- **Company:** Prime Intellect
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Posted:** 2026-07-08
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/primeintellect/d70f38c9-ae8e-4252-933a-666cb900e3b4

## Job description

## TECHNICAL ACCOUNT MANAGER

## OWN YOUR INTELLIGENCE

Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team.

Our platform, Lab, unifies compute, environments, evaluations, secure sandboxes, high-performance training, and deployment into one full-stack system for post-training at frontier scale - from SFT and RL to tool use, agent workflows, and continuously improving production models. We are building open frontier AI: open-source models trained end to end for long-horizon tasks like autonomous research, and the full-stack platform our own research team uses to build them. The next generation of AI companies, enterprises, and research teams do not just need more GPUs. They need the ability to turn their own workflows, tools, data, and feedback loops into superintelligence they own.

Prime Intellect has raised $150M in total funding from Founders Fund, Radical Ventures, NVIDIA, and exceptional AI, infrastructure, and enterprise operators — including Andrej Karpathy, Dwarkesh Patel, and leaders and founders from Ramp, Perplexity, Harvey, Mercor, Zapier, Datadog, Cognition, OpenAI, Thinking Machines, Together AI, SemiAnalysis, LangChain, Browserbase, Cloudflare, Sierra, Databricks, Airbnb, OpenRouter, Standard Intelligence, Fleet, Core Auto, and more. We are looking for people who want to build at the intersection of frontier research, real infrastructure, and go-to-market for a category that does not fully exist yet.

## Your Role

Prime Intellect serves some of the most sophisticated AI teams in the world that depend on our compute and infrastructure to train and deploy production AI systems. The Customer Success Manager is the person who makes sure those customers succeed, scale, and keep building with us.

This is not a traditional Customer Success role. Our customers run large-scale training jobs, scale inference workloads against real production traffic, and depend on cluster reliability and performance the way most companies depend on their cloud provider. The work spans the technical and the commercial — you'll be reading Grafana dashboards and discussing cluster performance with a customer's ML infrastructure team in the morning, and partnering with Sales on a capacity expansion in the afternoon.

You'll own a portfolio of enterprise customers end-to-end and build the relationships that make Prime Intellect the partner of choice for their AI infrastructure.

## Responsibilities

Customer Ownership

- Own a portfolio of enterprise customers end-to-end — adoption, retention, expansion, and overall health
- Build deep relationships with technical and executive stakeholders at each customer, from ML engineers to engineering leadership
- Drive customer outcomes: faster time-to-value on first workloads, smooth scaling as their usage grows, and meaningful expansion as their AI ambitions expand

Technical Partnership

- Understand each customer's training and inference workloads at a real technical level — what models they're training, what infrastructure they need, what their performance bottlenecks are
- Partner with customers' engineering teams on cluster performance, capacity planning, workload optimization, and migration
- Translate customer needs into clear, prioritized feedback for our Engineering and Product teams

Expansion & Renewals

- Identify expansion opportunities ahead of the customer — anticipate scaling needs, surface new use cases, drive adoption of new products (Lab, Inference, additional compute capacity)
- Partner with Sales on renewal conversations and growth motions
- Maintain visibility into the economics of each customer relationship, in partnership with Finance and Compute

Operational Excellence

- Serve as the first line for customer-facing operational issues — usage questions, capacity changes, SLA tracking, incident communications
- Build the cross-functional connective tissue between Sales, Engineering, Finance, and customers

## What We're Looking For

- 3–6 years in Customer Success, Technical Account Management, Solutions Engineering, or adjacent roles at infrastructure, cloud, or AI/ML companies
- Strong technical fluency — comfortable reading dashboards, discussing infrastructure architecture, and engaging with customer engineering teams without a translator
- Strong commercial instincts — you understand that Customer Success is a revenue function, not a support function, and you can drive real expansion alongside technical outcomes
- Deep customer empathy combined with high judgment — you advocate for customers internally while making the calls that are right for the business
- Excellent verbal and written communication, especially when explaining complex technical issues to non-technical stakeholders and vice versa
- High ownership — you see gaps and build the fix before anyone asks
- Comfortable in ambiguity and speed; this market doesn't slow down
- AI-native in how you work: you use LLMs, automation, and programmatic tools to move faster

Bonus:

- Direct experience at a cloud provider, AI infrastructure company, or compute marketplace
- Familiarity with GPU economics, training and inference workloads, or compute consumption patterns
- Background as a TAM or Solutions Architect at a hyperscaler (AWS, GCP, Azure) or specialized cloud provider
- Working knowledge of usage-based pricing, capacity commitments, and consumption-based contracts
- You've been an early Customer Success hire at a high-growth company

## What We Offer

- Cash Compensation Range of $160,000 – $200,000 + meaningful equity
- Flexible work (remote or San Francisco)
- Visa sponsorship and relocation support
- Professional development budget
- Team off-sites and conferences
- A front-row seat to building the infrastructure layer for open AI

## About Prime Intellect

## Company Overview
- **One-liner**: Prime Intellect provides an open, full-stack platform for companies to train, deploy, and continuously improve their own AI models through large-scale distributed reinforcement learning.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Vincent Weisser (CEO), Johannes Hagemann (CTO)

## Core Business
- **Primary industry**: AI infrastructure, open-source AI research, and agentic training platforms
- **Target customers**: B2B — enterprises and AI labs that want to train custom models without building their own infrastructure; also open-source community contributors
- **Mission**: Democratize frontier AI training by making it accessible to every company and collectively owning the resulting open innovations.

## Products & Services
- **Compute**: Access to GPU clusters (H100, H200, B200+) from 50+ providers, plus on-demand single GPU instances and reserved clusters with InfiniBand networking and SLURM/K8s orchestration.
- **Hosted Training (Lab)**: Managed large-scale reinforcement learning (RL) training without infrastructure overhead, including a 2,500+ environment hub and custom eval benchmarks.
- **Inference**: Serverless or dedicated inference for custom models, with native LoRA support and 1-click deployment.
- **Open-Source Libraries**: `prime-rl` (async RL framework), `verifiers` (environments & evals), and environment hub for collaborative development.
- **INTELLECT-3**: A 100B+ parameter Mixture-of-Experts model trained on their RL stack, achieving state-of-the-art performance for its size.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Total Funding**: $70.44M across multiple rounds (CBInsights, 2026); earlier reports indicated $20.5M in seed rounds, followed by a Series B round of $49.94M led by Founders Fund and other investors.
- **Notable Investors/Partners**: Founders Fund, CoinFund, Distributed Global, Radical Ventures, Andrej Karpathy, Clem Delangue (Hugging Face), Dylan Patel (SemiAnalysis), Tri Dao (Together AI).
- **Growth Signals**: Headcount grew 128.6% YoY to 36 employees; 24 active job postings (monthly job growth +26.3%); launched INTELLECT-3 and SYNTHETIC-2 datasets; customers include Ramp and Zap; operates in 9 countries.

## Competitive Advantages
- **Full-stack integrated platform** – compute, post-training, evals, and inference in one place, reducing the fragmentation of building and maintaining AI workflows.
- **Large-scale distributed RL expertise** – proven ability to train 100B+ models across clusters (global training via their RL stack).
- **Open-source ethos** – models, datasets, and libraries are released openly, attracting a community of researchers and developers.
- **Founding team & research edge** – strong ties to frontier AI research, with contributions like prime-rl and self-improving agent loops.

## Strategic Focus
- **Self-improving agents** – building infrastructure that closes the loop from deployment back to training, enabling models to compound performance over time.
- **Scaling RL at extreme sizes** – recent research (RL at 1T Scale) shows commitment to massive-scale reinforcement learning.
- **Enterprise adoption** – adding dedicated solutions engineers and managed workflows for corporate customers.

## Why Work Here
- **Culture**: Seeks “the most ambitious developers” and emphasizes cutting-edge research and engineering. The team includes former engineers from Together AI, Aleph Alpha, and Anyscale.
- **Remote/Hybrid**: Remote-friendly with HQ in San Francisco.
- **Growth trajectory**: Rapidly scaling company (headcount up 128% YoY) with multiple open roles across engineering, research, and go-to-market.
- **Tech stack**: Python, PyTorch, CUDA, Kubernetes, SLURM, Grafana, and a broad modern AI toolchain – opportunity to work on infrastructure-level challenges.

## Sources
1. [primeintellect.ai](https://www.primeintellect.ai/)
2. [linkedin.com/company/primeintellect-ai](https://www.linkedin.com/company/primeintellect-ai)
3. [jobs.ashbyhq.com/PrimeIntellect](https://jobs.ashbyhq.com/primeintellect)
4. [cbinsights.com/company/prime-intellect](https://www.cbinsights.com/company/prime-intellect)
5. [docs.primeintellect.ai/introduction](https://docs.primeintellect.ai/introduction)

## Other roles at Prime Intellect

- [Head of Talent](https://feeny.ai/job/head-of-talent-prime-intellect-san-francisco-naf4r2rwx21x) — San Francisco, CA
- [Member of Technical Staff - Training Platform](https://feeny.ai/job/member-of-technical-staff-training-platform-prime-intellect-san-francisco-4btkkz3tw3ps) — San Francisco, CA
- [Member of Technical Staff - Sandbox Platform](https://feeny.ai/job/member-of-technical-staff-sandbox-platform-prime-intellect-san-francisco-qsr7247a01ar) — San Francisco, CA
- [Member of Technical Staff - Inference](https://feeny.ai/job/member-of-technical-staff-inference-prime-intellect-7syapkjxntgq)
- [Member of Technical Staff - GPU Infrastructure](https://feeny.ai/job/member-of-technical-staff-gpu-infrastructure-prime-intellect-san-francisco-yxe0m7p9mjqy) — San Francisco, CA
- [Member of Technical Staff - Full Stack Software Engineer](https://feeny.ai/job/member-of-technical-staff-full-stack-software-engineer-prime-intellect-san-enhkkcn3cfge) — San Francisco, CA
- [Member of Technical Staff - Compute Platform](https://feeny.ai/job/member-of-technical-staff-compute-platform-prime-intellect-san-francisco-00b0zmttc2p0) — San Francisco, CA
- [Research Engineer - RL Infrastructure](https://feeny.ai/job/research-engineer-rl-infrastructure-prime-intellect-san-francisco-s38mrqzq4m59) — San Francisco, CA
- [Research Engineer - Reinforcement Learning](https://feeny.ai/job/research-engineer-reinforcement-learning-prime-intellect-san-francisco-q3tyazz9enkn) — San Francisco, CA
- [Research Engineer - Distributed Training](https://feeny.ai/job/research-engineer-distributed-training-prime-intellect-san-francisco-6anh0v1a8nqx) — San Francisco, CA