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Omni is an AI analytics platform that transforms company data into a trusted source of truth for AI. Built on a semantic model, Omni provides enterprises with a governed context graph for analytics and AI, enabling teams to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. The company is based in San Francisco and has raised $217M from top-tier investors including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV, with a Series C valuation of $1.5B.
As a Pre-Sales Solutions Engineer, you will become an expert in the Omni platform and empower customers to maximize value from their data throughout their lifecycle. You will work with companies across all industries, regions, and company sizes in a high-touch, forward-deployed model, constantly discovering new use cases and customer needs.
Key responsibilities include:
- Partner with the sales team to provide technical expertise during the sales process, helping uncover and validate use cases that demonstrate Omni's value
- Build and present Proofs of Concept within the Omni Platform as part of customer evaluation, enabling prospective customers to successfully use Omni with their data
- Transition trials into successful customers by collaborating with post-sales teams and partners to plan ongoing support
- Collaborate extensively with Product, Design, and Engineering teams to provide user feedback and guide product direction
- Advocate for users and help shape the product roadmap based on field experiences
You will work in a hybrid model with 3 days per week in the San Francisco office.
REQUIREMENTS:
- 7+ years of pre-sales business intelligence experience, including deep expertise in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles supporting enterprise customers
- Strong SQL skills for analytics
- Experience in client-facing roles with a desire to work closely with customers
- Exceptional consultative communication skills across technical and non-technical audiences
- Passion for working with data
- Strong learning orientation and enthusiasm for helping and teaching others
- Prior experience with business intelligence and/or enterprise data analytics tools; modeled BI experience (such as Looker) preferred
