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Join us and help shape the future of AI by defining the narrative around document understanding.
ABOUT THE ROLE:
We are seeking an Enterprise Account Executive to drive new customer acquisition and revenue growth. In this role, you will own the full enterprise sales cycle—sourcing, engaging, and closing deals with global enterprises adopting our AI platform. You will partner with technical teams internally and externally, navigating complex organizations and ensuring our solutions align with customer priorities.
RESPONSIBILITIES:
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Source, develop, and close new enterprise logo accounts.
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Build and manage executive-level relationships, including champions and decision-makers.
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Lead discovery, value-driven sales cycles, and enterprise negotiations.
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Collaborate with Forward Deployed Engineers and product specialists to run tight POCs based on success criteria.
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Prioritize and advance opportunities effectively from lead to close to drive repeatable bookings.
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Consistently achieve or exceed ARR and pipeline targets.
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Provide structured customer feedback to influence product roadmap and go-to-market strategy.
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Represent Llama Index at industry events, conferences, and customer workshops.
REQUIRED QUALIFICATIONS:
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5+ years of closing experience in enterprise SaaS sales with a top-performer track record.
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Proven ability to sell into complex organizations and navigate multi-threaded deals.
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Demonstrated success in net-new logo acquisition and expansion (land-and-expand motion).
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Experience selling technical SaaS platforms (AI, developer tools, OSS, or infrastructure strongly preferred).
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Fluency in value-based selling, MEDDIC, Challenger, or similar methodologies.
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Ability to collaborate across functions (SEs, FDEs, Product, Leadership) to close strategic deals.
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Strong executive presence and comfort selling to VP- and C-level stakeholders.
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Startup experience: Success operating in <100 employee companies, ideally as one of the first 10 sales hires, thriving in ambiguous and resource-constrained environments.
PREFERRED QUALIFICATIONS:
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Experience selling AI/ML, document intelligence, data infrastructure, or orchestration products.
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Familiarity with developer-first sales cycles and technical POCs.
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Track record of multi-year, high-ACV enterprise deals.
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Knowledge of APIs, integrations, security, and compliance in enterprise SaaS.
WHY JOIN US?
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Impactful Mission: Help companies adopt AI to unlock the value of their unstructured data.
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Collaborative Team: Join a team of experts driving the future of AI.
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Strong AI Brand: Leverage one of the largest open-source AI frameworks and communities, giving us brand recognition in the AI space greater than nearly any company our size.
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Growth Opportunities: Build your career as we scale at the frontier of enterprise AI.
LOCATION
London, England.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Llama Index does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. Llama Index is not responsible for any fees related to unsolicited resumes.
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LlamaIndex 소개

LlamaIndex
Series ALlamaIndex is an open-source data framework that enables developers to connect custom data sources to large language models. The company provides tools and infrastructure for building LLM-powered applications with retrieval-augmented generation capabilities.
1-50
직원 수
San Francisco
본사 위치
$100M
기업 가치
리뷰
4.1
44개 리뷰
워라밸
3.8
보상
4.2
문화
4.4
커리어
4.3
경영진
3.6
82%
친구에게 추천
장점
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
단점
Work-life balance can be challenging during product launches
Internal politics in some teams
Organizational changes and restructuring can be disruptive
연봉 정보
5개 데이터
Mid/L4
Senior/L5
Staff/L6
Mid/L4 · Software Engineer
0개 리포트
$149,250
총 연봉
기본급
-
주식
-
보너스
-
$126,862
$171,638
면접 경험
1개 면접
난이도
4.0
/ 5
소요 기간
14-28주
경험
긍정 0%
보통 0%
부정 100%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
System Design
Technical Knowledge
FAISS/Vector Database
LLM/AI Experience
뉴스 & 버즈
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