Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to the kind of scaled AI infrastructure once reserved only for hyperscalers. We began with a single managed cluster — but it filled almost instantly. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute when and where it’s needed most. Our long-term vision is to build the liquidity layer for global AI compute. We are expanding to new frontiers to find the brightest that work in AI infrastructure, research and engineering.
Account Executive
Location
United States
Posted
15 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
We’re an early stage infrastructure startup powering large-scale training and inference for frontier labs, AI-native startups, and enterprises. We’re looking for an Account Executive to own and grow relationships with high-priority AI-native customers.
- Manage a sales pipeline and forecast revenue effectively, with strong discipline around deal progression, qualification, and close planning.
- Own the full sales cycle for AI-native accounts—from outbound prospecting and first meetings through technical validation, commercial negotiation, and close.
- Interact with prospects and customers via Zoom, phone, and email with a high attention to customization, speed, and detail.
- Consistently achieve quarterly and annual revenue quotas across new logo and expansion opportunities.
- Diligently update and maintain clean pipeline data in CRM, including next steps, stakeholders, technical requirements, and forecast accuracy.
- Quickly learn and deeply understand our infrastructure stack (hardware + software), communicate our value proposition clearly, and handle objections in competitive situations.
- Develop a deep understanding of customer goals, pain points, and timelines (e.g., fundraising milestones, model training schedules, product launches, capacity constraints) and communicate priorities across the company.
- Partner closely with Solutions Engineers to run technical evaluations, demos, and POCs that align to customer success criteria.
- Build trusted relationships with technical and executive stakeholders, including founders, infrastructure leaders, ML engineers, and finance/procurement teams.
- Develop a deep understanding of target markets and industry dynamics, including GPU supply/demand trends, model lifecycle needs, and competitive infrastructure options.
- Travel up to 35% to meet customers and prospects, attend industry events, and participate in on-site meetings.
Qualifications
- 5+ years of quota-carrying closing experience in a B2B sales role (Account Executive or similar), with a strong track record of exceeding targets.
- Experience selling into technical buyers (engineering, infrastructure, platform, ML/AI teams) in a complex sales environment.
- Ability to run a consultative sales process, uncovering customer needs and mapping them to technical and commercial solutions.
- Excellent written and verbal communication skills, with strong attention to detail and executive presence.
- Strong operational rigor in pipeline management, forecasting, and CRM hygiene.
- Ability to operate in a fast-paced startup environment with ambiguity, urgency, and frequent context switching.
- Strong sense of ownership and bias for action.
Requirements
- Experience selling AI/ML infrastructure, cloud infrastructure, GPUs, HPC, developer platforms, or adjacent technical products/services.
- Familiarity with AI-native customer workflows, including training, fine-tuning, and inference for LLMs and generative AI applications.
- Experience working with customers on time-sensitive compute decisions tied to funding rounds, product launches, or major training runs.
- Comfort partnering with technical teams on demos/POCs and translating technical outcomes into business value.
- Prior experience in a high-growth startup or zero-to-one go-to-market environment.
Benefits
- Massive market pull: demand for high-performance AI infrastructure continues to accelerate.
- High impact: you’ll directly shape how top AI-native companies buy and scale compute.
- Build from zero-to-one: help define the sales motion, playbooks, and customer strategy at an early stage.
- Cross-functional leverage: work closely with technical, product, and leadership teams on strategic deals.
Job Requirements
- 5+ years of quota-carrying closing experience in a B2B sales role (Account Executive or similar), with a strong track record of exceeding targets.
- Experience selling into technical buyers (engineering, infrastructure, platform, ML/AI teams) in a complex sales environment.
- Ability to run a consultative sales process, uncovering customer needs and mapping them to technical and commercial solutions.
- Excellent written and verbal communication skills, with strong attention to detail and executive presence.
- Strong operational rigor in pipeline management, forecasting, and CRM hygiene.
- Ability to operate in a fast-paced startup environment with ambiguity, urgency, and frequent context switching.
- Strong sense of ownership and bias for action.
- Experience selling AI/ML infrastructure, cloud infrastructure, GPUs, HPC, developer platforms, or adjacent technical products/services.
- Familiarity with AI-native customer workflows, including training, fine-tuning, and inference for LLMs and generative AI applications.
- Experience working with customers on time-sensitive compute decisions tied to funding rounds, product launches, or major training runs.
- Comfort partnering with technical teams on demos/POCs and translating technical outcomes into business value.
- Prior experience in a high-growth startup or zero-to-one go-to-market environment.
Benefits
- Massive market pull: demand for high-performance AI infrastructure continues to accelerate.
- High impact: you’ll directly shape how top AI-native companies buy and scale compute.
- Build from zero-to-one: help define the sales motion, playbooks, and customer strategy at an early stage.
- Cross-functional leverage: work closely with technical, product, and leadership teams on strategic deals.
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