Remote AI Infrastructure Strategic Account Executive

Prime Intellect, Inc.; San Francisco (CA); Hybrid; USD 225,000 - 300,000; Full time

Benefits offered by this job

On-target earnings and equity

Remote or San Francisco work + travel

Visa sponsorship and relocation

Professional development budget

Team off-sites and conferences

Front-row seat to AI infra building

Job summary

Prime Intellect, Inc. seeks aStrategic Account Executive to own strategic customer acquisition for GPU infrastructure and Model Factory. You will build and close a portfolio of AI-native and enterprise accounts, engaging CTOs, Heads of AI/ML, and infrastructure leaders to translate training and inference plans into committed capacity.

You will work with Solutions Architects on discovery, benchmarks, and POCs, shaping commercial structures and multi-year commitments that define the category.

Qualifications

• Proven success selling highly technical infrastructure: cloud, GPU compute, AI/ML platforms to enterprise buyers.
• Experience closing seven- and eight-figure enterprise agreements.
• Credibility with CTOs and ML/infrastructure teams; able to engage both executives and engineers.
• Ability to sell economics, architecture, and strategic partnerships, not just features.
• Strong deal construction and multi-year commitments and scalability.

Responsibilities

• Build and close a portfolio of strategic AI-native and enterprise accounts.
• Develop relationships with CTOs, Heads of AI/ML, infrastructure leaders, and economic buyers.
• Translate roadmaps into multi-year GPU capacity commitments.
• Partner with Solutions Architects on discovery, benchmarks, and POCs.

Skills

Infra sales

Enterprise deals

Executive credibility

Strategic partnerships

Negotiation

Forecasting

Ownership mindset

Tools

CRM tools

Job description

Prime Intellect, Inc. seeks aStrategic Account Executive to own strategic customer acquisition for GPU infrastructure and Model Factory. You will build and close a portfolio of AI-native and enterprise accounts, engaging CTOs, Heads of AI/ML, and infrastructure leaders to translate training and inference plans into committed capacity.

You will work with Solutions Architects on discovery, benchmarks, and POCs, shaping commercial structures and multi-year commitments that define the category.