Technical Account Manager - AI Infrastructure

Prime Intellect, Inc.; San Francisco (CA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Remote work

Visa sponsorship

Relocation support

Team off-sites and conferences

Equity

Job summary

Prime Intellect is hiring a Customer Success Manager to own a portfolio of enterprise customers, ensuring adoption, renewal, and expansion across our frontier AI platform. You will read Grafana dashboards, coordinate with ML infrastructure teams, and partner with Sales on capacity expansions.

This role blends technical partnership with business acumen and requires cross-functional collaboration with Finance, Compute, and Engineering.

Qualifications

• Experience explaining complex technical concepts to non-technical stakeholders.
• Ability to manage a portfolio of enterprise customers end-to-end.
• Strong collaboration with engineering, product, and sales teams.

Responsibilities

• Own a portfolio of enterprise customers end-to-end, focusing on adoption, retention, expansion, and health.
• Build deep relationships with technical and executive stakeholders within each customer.
• Translate customer needs into prioritized feedback for Engineering and Product teams.
• Drive expansion opportunities and renewal conversations with Sales.
• Maintain visibility into customer economics in partnership with Finance and Compute.

Skills

Grafana

Customer success

Enterprise accounts

Cross-functional collaboration

Job description

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.

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 Offer

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

What We Offer

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