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 Pre-Sales Solutions Engineer, you will become an expert in the Omni platform, empowering our customers to do more with their data throughout their lifecycle.

You will work with companies across all different industries, regions, and company sizes. We have a high-touch forward-deployed model, and through our process you will constantly be learning and discovering new use cases and needs.

You will advocate for our users, and help shape product direction as you share experiences and feedback from the field.

• 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.

• 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.

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

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

• 7+ years experience in data analytics and/or technical pre-sales role

• 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 preferred (such as Looker)