More jobs:
Strategic Account Executive; AI Cloud & Infra
Job in
New York City, Richmond County, New York, USA
Listed on 2026-01-23
Listing for:
Lavendo
Full Time
position Listed on 2026-01-23
Job specializations:
-
IT/Tech
AI Engineer, Technical Sales
Job Description & How to Apply Below
About the Company
Our client is an AI infrastructure company providing NVIDIA GPU cloud platforms (Blackwell, Hopper) and managed services to AI labs, software ISVs, and Fortune 1000 enterprises for large-scale AI model deployment. Backed by NVIDIA and Accel, with signed multi-billion dollar contracts with Meta and Microsoft.
- Company type:
Publicly traded, 245% stock growth - Industry: Cloud Computing, AI/ML, Infrastructure-as-Code
- Candidate location:
Remote US
Our client is leading a new era in cloud computing to serve the global AI economy. They create tools and resources that enable customers to solve real-world challenges and transform industries without massive infrastructure costs or the need to build large in-house AI/ML teams.
The Opportunity
As a Strategic Account Executive, you'll accelerate the adoption of GPU and AI infrastructure solutions among the world's most innovative companies. You'll own strategic relationships with large enterprises, driving GPU adoption for large-scale training and inference workloads. This is a senior, high-impact sales role for reps who understand the intersection of compute, AI, and Enterprise business transformation.
What You'll Do
- Manage complex, multi-stakeholder deals from prospecting to close across AI-native and enterprise accounts
- Promote NVIDIA GPU infrastructure for training and deploying AI workloads
- Build relationships with C-suite and engineering leaders in target accounts
- Collaborate with teams to deliver tailored proposals and outcomes
- Maintain accurate pipeline management to meet quotas
- Stay updated on industry trends and competition
- 8+ years of enterprise B2B sales experience in AI infrastructure, GPUs, or cloud compute
- Prior experience at a Neo Cloud or Hyperscaler selling GPU or compute workloads
- Proven success selling to large Software ISVs, AI Labs, or Fortune 1000 organizations
- Deep technical acumen around GPUs, cloud infrastructure, and AI/ML training & inference
- Strong relationship management and negotiation skills
- Excellent executive communication skills to articulate business value from deeply technical solutions
- Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
- Bonus:
Experience in a high-growth or startup environment
- 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 comp: $300k - $440k OTE (50/50 split) with accelerators for over achievement
- 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
- 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
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