Enterprise Account Executive - Digital Native
LlamaIndex · San Francisco, California
- Location
- San Francisco, California, United States
- Workplace
- Hybrid
- Employment
- Full time
- Level
- Mid level
- Posted
- 8 weeks ago
About this role
Join us and help shape the future of AI by defining the narrative around document understanding.
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.
Why Join Us?
Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
Strong AI Brand: Sell backed by one of the largest open-source AI frameworks and communities, giving us reach beyond most companies our size.
Multiple Ways In: Work accounts top-down, bottoms-up, and through product usage, not a single fixed motion.
Growth Opportunities: Get in early on a high-growth enterprise motion with room to grow as we scale.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
LlamaIndex does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. LlamaIndex is not responsible for any fees related to unsolicited resumes.
As published by LlamaIndex. Applications are handled on their site.
Skills this posting mentions
About LlamaIndex
LlamaIndex offers a practical toolkit that empowers any developer to unlock the full capabilities and use cases of LLMs on top of their own data. It can be used with any LLM and offers an easy to use and optimized experience. The toolkit can handle a diverse range of data sources, from structured to semi-structured to unstructured text or even image data, and includes data ingestion, data indexing, and a query engine layer on top.
All 15 openings at LlamaIndexOne click, then it is written
Apply to LlamaIndex with a resume written for this role.
Queue Enterprise Account Executive - Digital Native and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in LlamaIndex’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
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