Senior Solutions Engineer, 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 Senior 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, all while mentoring other SEs along the way.

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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 in the Omni Platform as part of the evaluation process, while 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.

• 7+ years of pre-sales experience (Solutions Engineering, Sales Engineering, or Solutions Architecture) within business intelligence or data analytics, supporting enterprise customers.

• Deep expertise with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift), transformation tools (e.g. dbt), and the broader analytics ecosystem.

• Strong SQL skills, using SQL for analytics.

• Experience in a client-facing role, desire to work closely with customers.

• Exceptional, consultative communication skills across technical and non-technical audiences.

• Passionate about working with data.

• Love learning; enthusiastic about helping and teaching others.

• Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI (such as Looker).

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

This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.