Enterprise Account Executive (AI Infrastructure)

Reku; San Francisco (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Reku in the San Francisco Bay Area is seeking an Enterprise Account Executive to drive new enterprise business, build pipeline, and manage the full sales cycle from initial conversation to signed agreements.

You will articulate the business case for transitioning to Reku's AI infrastructure solutions, focusing on performance and cost benefits for CTOs, heads of AI/ML, VP engineering, and finance owners.

Qualifications

• 5–8+ years in Enterprise or Strategic Account roles.
• Experience selling technical products such as infrastructure, developer tools, APIs or AI/ML platforms.
• Confidence discussing technical requirements and commercial value with different buyers in the same deal.
• Experience carrying a revenue target in a consumption or usage-based sales model.
• A track record of replacing an incumbent provider or internally built solution by proving measurable value.
• The ability to generate your own pipeline, win customers and grow accounts.
• Initiative and sound judgment in an early-stage environment where the sales process is still taking shape.

Responsibilities

• Build pipeline and lead full sales cycle, from first conversation to signed agreement.
• Show customers what switching could mean for performance and cost, using workloads and usage.
• Bring technical leaders, executive sponsors and finance stakeholders toward a decision.
• Turn existing self-serve developer adoption into enterprise relationships.
• Help define qualification, pricing and commercial terms as the team grows.
• Work directly with founders and product teams to inform product decisions.

Skills

Pipeline development

Stakeholder management

Complex deals

Technical value selling

Revenue targets

Job description

San Francisco Bay Area · Hybrid · Full-time

Sell the infrastructure behind AI. Help build the sales motion.

AI adoption is growing. So is the cost of running it.

We’re partnering with a Series A AI infrastructure company that builds its own hardware and inference software to help businesses run AI models faster and at a lower cost.

As an Enterprise Account Executive, you’ll turn that technical advantage into a clear business case. Your buyers are CTOs, Heads of AI/ML and VPs of Engineering, with finance involved as infrastructure costs become a bigger part of the conversation.

You’ll join an early commercial team with room to influence qualification, pricing, deal structure and account growth. If you enjoy building pipeline, winning complex deals and shaping how a company sells, this role offers that scope.

What you’ll own

• New enterprise business: Build pipeline and lead the full sales cycle, from first conversation to signed agreement.
• The business case: Show customers what switching could mean for performance and cost, using their actual workloads and usage.
• Complex buying conversations: Bring technical leaders, executive sponsors and finance stakeholders toward a decision.
• Account expansion: Turn existing self-serve developer adoption into enterprise relationships.
• The sales approach: Help define qualification, pricing and commercial terms as the team grows.
• Customer insight: Work directly with founders and product teams to inform product decisions.

What you’ll bring

• Typically 5–8+ years in Enterprise or Strategic Account Executive roles, closing six-figure deals with multiple stakeholders.
• Experience selling technical products such as infrastructure, developer tools, APIs or AI/ML platforms.
• Confidence discussing technical requirements and commercial value with different buyers in the same deal.
• Experience carrying a revenue target in a consumption or usage-based sales model.
• A track record of replacing an incumbent provider or internally built solution by proving measurable value.
• The ability to generate your own pipeline, win customers and grow accounts.
• Initiative and sound judgment in an early-stage environment where the sales process is still taking shape.

Experience in GPU infrastructure, AI infrastructure, generative media or self-serve-to-enterprise sales would be a plus.