3-6 years in Customer Success, Technical Account Management, or related roles in AI/ML or cloud companies
Strong technical fluency to engage with engineering teams
Solid understanding of the commercial value of customer success
Empathetic approach coupled with good judgment for customer advocacy
Exceptional communication skills for technical and non-technical discussions
High sense of ownership and initiative
Ability to operate in a fast-paced, ambiguous environment
Proficiency in AI tools and automation techniques
Responsibilities
Own and manage a portfolio of enterprise customers from start to finish
Cultivate relationships with both technical and executive contacts within customer teams
Drive successful customer outcomes and enhance time-to-value
Analyze and understand customer workloads at a technical level
Collaborate closely with customers on performance and capacity planning
Proactively identify opportunities for expansion and growth with existing customers
Manage customer-facing operational issues and maintain cross-functional communication
Benefits
Flexible work options (remote or in San Francisco)
Visa sponsorship and relocation support
Professional development budget for skill enhancement
Opportunities for team off-sites and conferences
Equity in the company along with competitive cash compensation
Engagement in building foundational AI infrastructure
Full Job Description
Technical Account Manager
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
