Strategic Account Executive

Posted 2 Days Ago
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San Francisco, CA, USA
Hybrid
Senior level
Artificial Intelligence • Cloud • Generative AI • Infrastructure as a Service (IaaS)
The Role
Own the full enterprise sales cycle for AI inference and serving solutions, from pipeline generation through closing strategic accounts. Build relationships with technical and executive stakeholders, manage technical proofs of concept, exceed revenue targets, and expand existing accounts. Represent the company at AI/ML events, support technical content and demonstrations, provide market and competitive insights, and bring customer feedback into product strategy.
Summary Generated by Built In

As a Strategic Account Executive at FriendliAI, you will be instrumental in driving our market expansion by securing high-value enterprise accounts and building strategic relationships with leading AI-forward companies. You'll focus on helping enterprises leverage FriendliAI's inference serving platform to achieve transformative cost savings and performance improvements across their AI deployments.

 

Environments

  • Highly competitive base salary plus uncapped commission structure tied to enterprise deal value

  • Equity in a rapidly growing AI infrastructure company

  • Comprehensive benefits package

  • Collaborative environment with exposure to cutting-edge AI technologies

 

Key Responsibilities

  • Own the end-to-end sales process with enterprises, from generating pipeline to closing high-value, strategic enterprise deals focused on AI inference and serving solutions

  • Identify and capitalize on growth opportunities within existing accounts, becoming a trusted advisor for AI infrastructure optimization

  • Build and maintain strategic relationships with CTOs, engineering leaders, ML/AI leaders, and other technical decision-makers at target enterprises.

  • Manage technical POCs that demonstrate FriendliAI's superior performance and cost advantages, collaborating with internal engineering teams and enterprise clients

  • Consistently generate and manage a robust pipeline by identifying enterprises with significant inference workloads and positioning FriendliAI's solutions strategically

  • Lead tech community engagements, representing FriendliAI at premier AI/ML conferences, meetups, and industry events (AI Engineer World's Fair, AWS re:Invent, etc.)

  • Cultivate strategic relationships with AI engineers, ML platform leaders, and technical decision-makers at target enterprises through community involvement

  • Organize technical events; workshops, technical demos, and meetups showcasing FriendliAI

  • Collaborate on technical content, case studies, and speaking opportunities that establish FriendliAI's market leadership

  • Bring the voice of enterprise customers into product discussions, ensuring FriendliAI's roadmap aligns with market needs and competitive positioning

  • Work closely with engineering teams to understand and articulate complex technical differentiators around inference optimization

  • Analyze the competitive landscape and provide insights on enterprise AI infrastructure trends and requirements

 

Qualifications

  • 5+ years of B2B enterprise sales experience

  • Proven track record of closing $300K+ ARR deals and consistently exceeding revenue targets

  • Experience selling AI inference, GPU compute, cloud infrastructure, bare-metal infrastructure, or other technical AI infrastructure solutions

  • Strong technical background in AI/ML infrastructure, cloud platforms, compute, or developer tools

  • Deep understanding of LLM deployment, inference serving, and AI/ML workflows

  • Active participation in AI/ML tech communities with demonstrated networking abilities

  • Experience managing technical POCs and multi-stakeholder enterprise sales cycles

  • Excellent communication skills for engaging both C-level executives and technical teams

 

Preferred Experience

  • AI inference, AI infrastructure, MLOps, cloud compute, bare-metal infrastructure, or developer tools company background

  • Existing network within enterprise AI/ML, engineering, or infrastructure teams

  • Technical degree or equivalent practical experience in AI/ML space

  • Track record of organizing or speaking at tech meetups and industry conferences

 

About us

FriendliAI, a San Mateo, CA-based startup, is building the next-generation AI inference platform that accelerates the deployment of large language and multimodal models with unmatched performance and efficiency. Our infrastructure supports high-throughput, low-latency AI workloads for organizations worldwide. We are also integrated with the Hugging Face platform, allowing instant access to over 600,000 open-source models. We are on a mission to deliver the world's best platform for AI inference

Skills Required

  • 5+ years of B2B enterprise sales experience
  • Proven record of closing $300K+ ARR deals and exceeding revenue targets
  • Experience selling AI inference, GPU compute, cloud infrastructure, bare-metal infrastructure, or technical AI infrastructure solutions
  • Strong technical background in AI/ML infrastructure, cloud platforms, compute, or developer tools
  • Deep understanding of LLM deployment, inference serving, and AI/ML workflows
  • Active participation in AI/ML technology communities and demonstrated networking abilities
  • Experience managing technical proofs of concept and multi-stakeholder enterprise sales cycles
  • Excellent communication skills for engaging C-level executives and technical teams
  • Background in AI inference, AI infrastructure, MLOps, cloud compute, bare-metal infrastructure, or developer tools
  • Existing network within enterprise AI/ML, engineering, or infrastructure teams
  • Technical degree or equivalent practical experience in AI/ML
  • Experience organizing or speaking at technology meetups and industry conferences
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The Company
34 Employees
Year Founded: 2021

What We Do

FriendliAI is The Frontier AI Inference Cloud: an AI infrastructure platform that deploys, scales, and monitors large language and multimodal models. Its inference engine maximizes GPU utilization to deliver faster performance and steep cost savings for open-weight and custom models, while offering enterprise-grade reliability, SLAs, and compliance to help teams run generative AI and agent workloads at production scale.

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