Account Executive (L1–L2)

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.

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.

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  Sales Execution: Drive the full sales cycle for our new BI platform, balancing consultative and challenger approaches to exceed quarterly and annual quotas.

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

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  Technical Validation & Value Engineering: Partner with Solutions Engineering to lead POCs and develop robust business value cases that simplify complex purchase decisions for technical buyers.

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  Ecosystem & Customer Success: 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.

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

• 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

• 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.

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.

EMEA candidates must be based in Dublin, Ireland or in London, England.

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