Account Executive (L3-L4)

Reposted 8 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
320K-360K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Database • Analytics • Business Intelligence
The Role
The Account Executive will drive sales of BI solutions, manage the full-cycle pipeline, partner with Solutions Engineering for technical validation, and develop business cases for renewals/cross-sells.
Summary Generated by Built In
About Omni

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack.
Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B.

About the Role

We are expanding our sales team and seeking Senior Account Executives (L3 & L4) to drive our next phase of growth. The AE L3s manage Mid-Market and Enterprise accounts (500–5,000 employees), while the AE L4s focus on Strategic Enterprise accounts with 5,000+ employees.

Both roles report to the Regional Sales Directors and the VP of Sales.

Key Responsibilities
  • Drive BI solution-selling (Consultative/Challenger) to consistently exceed quarterly and annual quotas

  • Manage full-cycle pipeline using MEDDPICC and 3 Whys frameworks with high-research outbound

  • Partner with Solutions Engineering to lead POCs and workshops, earning trust with deeply technical buyers

  • Actively invest in Tech & SI partnerships to build top-of-funnel pipeline and ensure customer success

  • Develop robust business cases for renewals/cross-sells and deliver accurate weekly GTM forecasts

About you
  • 5-7+ years exceeding quotas selling SaaS solutions

  • Expert at navigating and influencing C-suite and technical stakeholders in complex, multi-year deals.

  • Experience translating customer feedback into strategic insights for GTM and Product teams.

  • High agency in solving complex business problems and prioritizing high-impact revenue opportunities.

Nice to Have
  • 5-7+ years consistently exceeding quotas in the Modern Data Stack (BI, Analytics, ETL).

  • Expert understanding of the end-to-end data ecosystem and complex integrations

  • Proven success and high agency within fast-paced, Series A–D environments

Location

This is a remote role in North America. We prioritize candidates in San Francisco, NYC, Santa Cruz, Denver, Austin, Seattle, Toronto and other major cities.

*We will be hiring on a rolling basis throughout 2026.

Compensation
  • Account Executive L3: up to $320,000 (50/50 split).

  • Account Executive L4: Up to $360,000 OTE (50/50 split).

Why Join Us
  • Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data

  • Health, dental, and vision insurance

  • 401(k) Plan

  • Unlimited PTO

 

Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.

Skills Required

  • 5-7+ years exceeding quotas selling SaaS solutions
  • Expert at navigating and influencing C-suite and technical stakeholders
  • Experience translating customer feedback into insights for GTM and Product teams
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The Company
HQ: San Francisco, CA
641 Employees
Year Founded: 2022

What We Do

Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that makes sure every insight is accurate and dependable. Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to its customers.

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