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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 Senior Pre-Sales Solutions Engineer, you will own the most technically demanding evaluations in the region, from first demo to final decision. You'll partner closely with Sales, Product, and Engineering teams, serving as the trusted Omni expert for companies of all sizes and industries. You'll work hands-on inside prospect environments and real data to demonstrate what's possible with the platform.
Key responsibilities include:
- Partnering with the sales team to provide technical expertise throughout the sales process, uncovering and proving out use cases that showcase Omni's value
- Leading technical discovery, product demonstrations, and Proofs of Concept (POCs) to enable prospective customers on successful Omni implementation
- Transitioning trials into successful customers by coordinating with post-sales teams and partners
- Mentoring junior Solutions Engineers and raising the bar on discovery, demo, and POC quality as the business expands
- Collaborating with Product, Design, and Engineering to provide user feedback and guide product direction
Because you'll be closest to the field, you'll shape the product roadmap by bringing customer insights back to the Product team.
REQUIREMENTS:
- 7-10 years of experience in enterprise pre-sales for business intelligence or data analytics, with focus on net new logo acquisition (Solutions Engineering, Sales Engineering, or Solutions Architecture roles). B2B SaaS pre-sales experience required.
- Deep expertise with the modern data stack, including cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift), transformation tools (dbt), and the broader analytics ecosystem
- Proven experience leading technical discovery, product demonstrations, POCs, and technical evaluations with both business and technical stakeholders
- Strong SQL skills, specifically for analytics
- Exceptional, consultative communication skills across technical and non-technical audiences
- Startup experience
- Prior experience with business intelligence and/or enterprise data analytics tools preferred (Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc.)
