Account Executive

SF Compute

$100K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-5 years in sales targeting technical buyers, ideally in AI infrastructure or cloud sectors
  • Proven record of managing and closing full-cycle deals with individual revenue targets
  • Existing network or experience selling to AI labs and enterprise technical teams
  • Ability to articulate technical subjects including GPU architecture and infrastructure procurement
  • Strong communication and negotiation abilities
  • Proactive, with a high sense of ownership and urgency

Responsibilities

  • Generate new business and cultivate a pipeline of qualified leads in target markets
  • Build relationships with founders, ML leads, and enterprise buyers creatively
  • Manage the entire commercial relationship for a dedicated customer portfolio
  • Negotiate contracts and commercial terms with key stakeholders
  • Monitor market trends and demands across relevant verticals
  • Conduct discovery calls and tailored solution demos to prospects
  • Lead the complete sales process for mid-to-large organizations

Benefits

  • Generous equity grant
  • Visa sponsorships for international hires
  • 401(k) retirement plan matching up to 4%
  • Comprehensive medical, dental, and vision insurance with 100% premium coverage
  • Unlimited paid time off alongside 10+ observed holidays
  • Paid parental leave for biological, adoptive, and foster parents
  • Daily free lunch provided for all employees
  • Unlimited budget for office books
Full Job Description
About the Role

We're hiring an Account Executive to support SF Compute's relationships with leading AI labs, startups, and enterprises that need compute. You'll own full-cycle deals, carrying an individual pipeline and revenue target, while acting as a credible technical partner to founders, ML leads, and infrastructure teams. You'll work within the GTM team, and you'll need to speak comfortably about GPU architecture, cluster performance, and infrastructure buying cycles with both engineers and executives.

This role requires in-office presence Monday through Friday in San Francisco.

What You Will Do

Customer Acquisition & Pipeline Management
  • Hunt for new business and build a pipeline of qualified leads across target enterprise and infrastructure accounts
  • Proactively and creatively address new accounts, building relationships with technical founders, ML leads, and enterprise buyers
  • Own the end-to-end commercial relationship with a portfolio of customers
  • Negotiate commercial terms and contracts with key stakeholders purchasing GPU compute
  • Track market dynamics, competitive trends, and demand across target verticals (AI labs, biotech, robotics, and more)

Deal Execution & Onboarding
  • Conduct discovery calls and demos, building ROI cases and tailoring a solution to each prospect's needs
  • Lead the full sales cycle - from prospecting through close - delivering a predictable, repeatable, and scalable process for mid-to-large organizations
  • Run or support proof-of-concepts (POCs) that demonstrate the value of SF Compute's platform to technical stakeholders
  • Own deal tracking, pipeline reporting, forecasting, and CRM management

Account Mapping & GTM Strategy
  • Represent the company at industry events, meetups, and online communities
  • Leverage prospecting channels to consistently engage and convert leads
  • Use your prior sales experience to shape a creative go-to-market strategy, and run tight reporting on sales activity, pipeline status, and outcomes
Minimum Qualifications
  • 3-5 years in sales or account executive roles focused on technical buyers - preferably in AI infrastructure, cloud, or marketplace businesses
  • Track record of owning and closing full-cycle deals, carrying and consistently hitting an individual pipeline or revenue target
  • Pre-existing network or experience selling to AI labs, infrastructure buyers, or enterprise technical teams
  • Comfortable explaining technical topics (GPU architecture, cluster performance, workload requirements, or infrastructure procurement)
  • Exceptional communication and negotiation skills
  • High ownership and bias to action
Preferred Qualifications
  • Exposure to AI/ML workloads or customers
  • Experience in marketplaces or two-sided platforms
  • Worked closely with technical teams, even if you're not an engineer
  • Experience running POCs or technical evaluations as part of a sales cycle
Benefits

Generous equity grant

Team members are offered a competitive salary along with equity in the company

Visa Sponsorships

Yes, we sponsor visas and work permits

Retirement matching

We match 401(k) plans up to 4%

Medical, dental & vision

We offer competitive medical, dental, vision insurance for employees and dependents and cover 100% of premiums

Time off

We offer unlimited paid time off as well as 10+ observed holidays

Parental leave

We offer biological, adoptive, and foster parents paid time off to spend quality time with family

Daily lunch

We cover lunch daily for employees

Unlimited office book budget

You can buy as many books for the office as you want

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