Account Executive (L1–L2)

Reposted 2 Days Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
175K-250K Annually
Junior
Artificial Intelligence • Information Technology • Software • Database • Analytics • Business Intelligence
The Role
Seeking Account Executives to drive growth by managing sales cycles, collaborating with internal teams, and maintaining pipeline visibility while exceeding quotas in selling SaaS solutions.
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 Account Executives (L1 & L2) to drive growth in our Commercial segments. AE L1s manage Small Business accounts (1–100 employees), while AE L2s focus on Mid-Market accounts (100–500 employees).

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

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.

Key Responsibilities
  • Drive the full sales cycle for our new BI platform, balancing consultative and challenger approaches to exceed quarterly and annual quotas.

  • Generate new business through a mix of network-led outbound and inbound qualification, ensuring operational excellence via MEDDPICC and the 3 Whys frameworks.

  • Partner with Solutions Engineering to lead POCs and develop robust business value cases that simplify complex purchase decisions for technical buyers.

  • Collaborate with Partners (Tech/SI) and internal teams (AM/SA) to build top-of-funnel pipeline, ensure seamless onboarding, and identify cross-sell or renewal opportunities.

  • Maintain high visibility for GTM leadership by delivering accurate weekly forecasts with both bottom-up and top-down territory perspectives.

About You
  • 1+ to 3+ years exceeding quota selling SaaS solutions

  • Creative and strategic thinker with strong problem-solving and prioritization skills

  • Proven ability to influence technical and business stakeholders at all levels.

  • Experience with MEDDPICC, 3 Whys, Sandler, Command of the Message and other frameworks

Nice to have
  • 1–3+ years exceeding quotas in the Modern Data Stack (BI, Analytics, Warehouse, ETL).

  • Deep understanding of the end-to-end data ecosystem and its integration.

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

Compensation
  • Account Executive L1: Up to $175,000 OTE (50/50 split).

  • Account Executive L2: Up to $250,000 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

  • 1+ to 3+ years exceeding quota selling SaaS solutions
  • Experience with MEDDPICC, 3 Whys, Sandler, Command of the Message and other frameworks
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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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