Senior Account Executive (AI Cloud)

Job Description

Job Description

About the Company

Our client is a publicly traded leader in the AI and cloud computing industry, offering a cutting-edge AI-centric cloud platform designed to empower organizations to build, optimize, and deploy AI solutions at any scale. Their infrastructure is optimized for demanding AI workloads, featuring state-of-the-art NVIDIA GPUs, high-performance networking, and tools for seamless orchestration for Fortune 1000 companies, innovative startups, and AI researchers globally.

• Company type: Publicly traded

• Industry: Cloud Computing, AI/ML, Infrastructure-as-Code

• Candidate location: Remote across the U.S.

The Mission

Our client’s mission is to democratize access to advanced AI infrastructure, empowering researchers and innovators to advance machine learning capabilities. Their goal is to deliver an affordable, intuitive platform that speeds up AI development across sectors, while supporting developers and organizations with high-performance GPU compute resources and environmentally conscious data center solutions.

The Opportunity

As a Senior Account Executive , you will play a critical role in driving revenue growth by managing the full sales cycle for our client’s cutting-edge AI and cloud solutions. You’ll work closely with technical leaders such as CTOs, VPs of Engineering, and AI researchers to demonstrate the value of their GPU-optimized infrastructure. This is an exciting opportunity to join a fast-growing team at the forefront of AI innovation.

What You'll Do

• Manage the full sales cycle from prospecting to closing deals

• Consistently meet or exceed sales quotas and KPIs

• Demonstrate the value of AI infrastructure solutions through consultative selling

• Build strong relationships with clients to drive repeat business and referrals

• Collaborate with technical, marketing, product, and customer success teams

• Stay updated on industry trends and competitive developments

What You Bring

• At least 3 years of full-cycle sales experience in AI/ML, cloud computing, or data infrastructure

• Proven track record of meeting or exceeding sales quotas (e.g., $30M–$50M)

• Experience selling NVIDIA GPUs (A100, H100, H200) at Neo Cloud or Hyperscaler

• Deep understanding of cloud platforms, GPU technologies, and AI infrastructure

• Ability to self-source 70% of your pipeline through outbound efforts or existing relationships

• Legal authorization to work in the U.S. without visa sponsorship

Key Success Drivers

• Self-starter: Thrives in a fast-paced startup-like environment

• Collaborative mindset: Works effectively across departments and cultures

• Results-oriented: Strong sense of ownership and accountability

• Innovative problem-solver: Identifies new opportunities for growth

• Continuous learner: Stays updated on the latest trends in AI and cloud computing

• High integrity: Committed to ethical practices and responsible AI development

• Passionate: Enthusiastic about democratizing access to cutting-edge AI infrastructure

Why Join?

• Competitive Compensation: OTE $280K–$340K with a 50/50 split and uncapped commission (negotiable based on experience and location)

• Stock Options: Equity in a publicly traded company

• Comprehensive Benefits: 100% company-paid medical, dental, and vision coverage for employees and families

• 401(k) plan with a 4% match program

• Paid parental leave (20 weeks for primary caregivers; 12 weeks for secondary caregivers)

• Company-paid short-term/long-term disability and life insurance coverage

• Monthly reimbursement for mobile/internet expenses (up to $85)

• Flexible Work Environment: Remote-friendly culture with opportunities for in-person collaboration

• Innovative Technology: Work with state-of-the-art NVIDIA GPUs and one of the most powerful commercially available supercomputers

• Sustainability Focus: Contribute to energy-efficient data centers that recover waste heat for residential use

• Startup culture and innovation backed by the resources of an established company

Interviewing Process

• Screening interview with Technical Recruiter (general fit assessment)

• Level 1 - Virtual interview with Hiring Manager (in-depth discussion)

• Level 2 - Virtual interview with Solutions Architect (technical deep dive)

• Level 3 - Virtual interview with C-level executive (final stage)

• Reference and Background Checks: conducted after successful interviews

• Job Offer: provided to the selected candidate

We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.

Compensation Range: $280K - $340K