AI Cloud Account Executive: New Logo Growth

Akamai Technologies, Inc.; Hartford (CT); On-site; USD 174,000 - 312,000; Full time

Benefits offered by this job

Healthcare

401(k) savings plan

Employee Stock Purchase Plan (ESPP)

Job summary

Akamai Technologies, Inc. is seeking an AI Native Account Executive to join our Infrastructure as a Service team.

You will drive new logo acquisitions and massive cloud migrations across the Americas, focusing on Machine Learning and AI training use cases, collaborating with internal teams to execute go-to-market strategies and build a large pipeline. You will own the entire sales cycle, understand cloud infrastructure and AI computing, and work with leadership to ensure measurable results.

Qualifications

• 5+ years of relevant sales experience and a Bachelor's degree or its equivalent.
• Relentless grit, flexibility across time zones, and strong collaboration skills.
• Experience in Net New Cloud Sales (Infrastructure or Software) in B2B enterprise markets.

Responsibilities

• Execute a global outbound prospecting strategy to generate pipeline and drive new logo acquisitions.
• Operate with urgency and ownership to accelerate top-of-funnel growth.
• Design and refine multi-channel outreach campaigns with personalized messaging.
• Own the end-to-end sales cycle from engagement to close, aligned with GTM strategy.
• Develop understanding of cloud infrastructure and AI computing to drive deals.

Skills

Sales experience

Bachelor's degree

Outbound prospecting

Multi-channel outreach

End-to-end sales cycle

Education

Bachelor's degree or equivalent

Job description

Akamai Technologies, Inc. is seeking an AI Native Account Executive to join our Infrastructure as a Service team.

You will drive new logo acquisitions and massive cloud migrations across the Americas, focusing on Machine Learning and AI training use cases, collaborating with internal teams to execute go-to-market strategies and build a large pipeline. You will own the entire sales cycle, understand cloud infrastructure and AI computing, and work with leadership to ensure measurable results.