Solutions Engineer II, Pre-Sales

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.

As a Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering customers to do more with their data throughout the customer lifecycle. You'll own the technical side of every deal — building one shared plan with your Account Executive and leading complex technical evaluations from discovery through proof-of-concept, hands-on in each prospect's own data and environment. You'll drive each evaluation forward, bring a clear point of view, and help shape product direction with feedback from the field.

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  Partner with the Sales team to provide technical expertise in the sales process and beyond, helping uncover and prove out use cases to showcase the value of the Omni platform.

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  Build and present Proofs of Concept (POCs) in the Omni Platform as part of the evaluation process, enabling prospective customers on how to successfully use Omni on their data.

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  Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.

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  Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.

• 5-7+ years of experience in data analytics or business intelligence, with strong customer-facing communication skills.

• Strong SQL skills, using SQL for analytics.

• Familiarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).

• Comfortable owning technical conversations directly with customers.

• Passionate about working with data; love learning, and enthusiastic about helping and teaching others.

• Prior experience with business intelligence and/or enterprise data analytics tools (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).

• Experience at a high-growth, Series A-D startup is preferred.

This is a hybrid role based in San Francisco, with 3 days per week in-office.