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. With a mission to democratize access to AI infrastructure, they serve Fortune 1000 companies, innovative startups, and AI researchers globally.
Industry: Cloud Computing, AI/ML, Infrastructure-as-Code
Candidate location: Remote within the U.S. (San Francisco Bay Area preferred)
Combining the agility of a startup with the resources of an established company, our client fosters innovation while maintaining a strong commitment to sustainability through energy-efficient data centers. Their platform supports groundbreaking advancements in AI research and development.
Our client is dedicated to simplifying the complexities of AI development by providing a full-stack AI platform that integrates powerful hardware with intuitive tools and services. By enabling organizations to scale their AI capabilities effortlessly, they aim to accelerate innovation across industries.
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.
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
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 Hyperscalers
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
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
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
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
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.
Originally posted on Himalayas
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