Enterprise Account Executive - Digital Native

LlamaIndex

$120K — $180K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of full-cycle enterprise SaaS sales experience with proven quota achievement
  • Ability to generate both outbound and product-led pipelines, not reliant on inbound leads
  • Experience working directly with technical buyers and executive leaders alike
  • Skilled in conducting technical evaluations and navigating build-versus-buy conversations
  • Adaptable in fast-paced, early-category environments with minimal processes
  • Excellent written and verbal communication skills to convey complex ideas
  • Proficient in using AI tools for account research and deal management

Responsibilities

  • Run full-cycle enterprise sales with a focus on AI-native software companies
  • Execute targeted campaigns targeting executive and technical decision-makers
  • Identify and nurture champions among current technical users
  • Convert product usage into qualified pipeline and growth opportunities
  • Manage multi-call sales processes with technical teams, including proof of concepts
  • Collaborate with technical buyers on evaluating solutions and demonstrating value
  • Develop initial use cases and strategize for account expansion over time
  • Maintain accurate CRM records and provide reliable forecast updates
  • Leverage AI tools for efficient research, prospecting, and preparation

Benefits

  • Dynamic work environment in a cutting-edge AI-focused industry
  • Opportunity to directly impact the company’s growth and sales strategy
  • Collaborative team culture that encourages innovative sales methodologies
  • Access to advanced AI tools to streamline work processes
  • Potential for career growth in a rapidly evolving tech landscape
Full Job Description
About the Role

LlamaIndex is hiring an Enterprise Account Executive to own strategic sales into high-growth, AI-native software companies. This is a multi-motion role. You'll run targeted top-down outbound into executive and technical buyers, build bottoms-up momentum with technical ICs and engineering teams already touching our product through self-serve usage, and convert consumption signals into qualified pipeline. You'll land a first use case, prove value through a focused technical evaluation, and expand the account from there.

Responsibilities
  • Run full-cycle enterprise sales into high-growth, AI-native software companies, from first outbound touch through close and expansion.
  • Build and execute targeted top-down outbound campaigns into executive and technical buyers at target accounts.
  • Identify and develop bottoms-up champions among technical ICs, engineers, and platform teams already using our product or open-source framework.
  • Turn product-usage and technical signals into qualified pipeline and expansion, rather than waiting on inbound alone.
  • Own technical, multi-call sales cycles with engineering and platform teams, often involving a proof of concept.
  • Partner credibly with technical buyers on build-versus-buy questions and scope evaluations that prove real value quickly.
  • Land a first use case and grow the account over time. Think in terms of expansion, not one-and-done deals.
  • Maintain accurate CRM hygiene and deliver reliable weekly forecast calls.
  • Use AI tools to speed up account research, prospecting, and deal preparation.
Required Qualifications
  • 4+ years of full-cycle enterprise SaaS sales experience with a track record of quota attainment.
  • Demonstrated ability to run both outbound-generated and product-led pipeline, not solely dependent on inbound.
  • Experience selling to technical buyers, including engineers, platform teams, and AI/ML leaders, alongside executive economic buyers.
  • Experience running technical evaluations or proofs of concept and navigating build-versus-buy conversations.
  • Comfortable operating with minimal process in a fast-moving, early-category environment.
  • Strong written and verbal communication. Able to explain complex technical products and deal strategy clearly.
  • AI-first operator: actively uses AI tools for account research, deal prep, outreach, and pipeline management.
Preferred Qualifications
  • Experience selling AI/ML, developer tools, data infrastructure, or OSS-adjacent products.
  • Experience in a consumption-based or usage-based pricing motion.
  • Track record of landing net-new logos and expanding initial contracts into larger account relationships.
  • Prior experience at a company with an open-source or community-led growth motion.


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