Senior Pre-Sales Solutions Engineer at Omni

Role Overview

As a Senior Pre-Sales Solutions Engineer, you'll be a trusted technical expert on the Omni platform, empowering our customers to do more with their data throughout the customer lifecycle. You'll work with companies across all industries, regions, and company sizes in our high-touch, forward-deployed model — leading complex evaluations, mentoring more junior SEs, and helping shape product direction as you share experience and feedback from the field.

About Omni

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.

Key Responsibilities

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.
Lead technical discovery, product demonstrations, and Proofs of Concept (POCs) as part of the evaluation process, 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.
Mentor junior Solutions Engineers and help raise the bar on discovery, demo, and POC quality across the team.
Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.

Requirements & Eligibility

7-10 years of experience in enterprise pre-sales business intelligence or data analytics and focused on net new logo acquisition (for ex. Solutions Engineering, Sales Engineering, or Solutions Architecture roles). B2B saas pre-sales experience requir
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.
Proven experience leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with both business and technical stakeholders.
Strong SQL skills, using SQL for analytics.
Exceptional, consultative communication skills across technical and non-technical audiences.