Solutions Engineer II, Pre-Sales
Summary
Pre-sales Solutions Engineer II at Omni, an AI-powered analytics/BI platform. Day to day you act as the technical expert in the sales cycle: building demos and POCs on the Omni platform, running customer evaluations, and feeding product feedback, using SQL, cloud data warehouses (Snowflake, BigQuery, Databricks), dbt, and BI tools. Hybrid role, 3 days/week in the SF office.
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.
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.
About the Role
As a 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.
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.
Build and present Proofs of Concept (POCs) in the Omni Platform 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.
Collaborate extensively with Product, Design, and Engineering to provide user feedback and guide product direction.
About You
5-7+ years of experience in data analytics or business intelligence, with strong customer-facing communication skills.
Strong SQL skills, using SQL for analytics.
Familiarity with the modern data stack, including cloud data warehouses (e.g. Snowflake, BigQuery, Databricks, Redshift) and transformation tools (e.g. dbt).
Comfortable owning technical conversations directly with customers.
Passionate about working with data; love learning, and enthusiastic about helping and teaching others.
Prior experience with business intelligence and/or enterprise data analytics tools (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).
Experience at a high-growth, Series A-D startup is preferred.
Location
This is a hybrid role based in San Francisco, with 3 days per week in-office.
Why Join Us
Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
Health, dental, and vision insurance
401(k) Plan (for US-based roles)
Unlimited PTO
Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.
Skills
As published by ashby · 8 questions · 2 written answers
Basics
Name, Email, Resume
Short answers (2)
- Phone
- LinkedIn URL
Pick from a list (3)
- How would you rate your current knowledge of SQL, 1-4?
- Will you now or in the future require sponsorship for employment visa status in the US?
- Are you able to come into our San Francisco office 3 times a week? (If willing to relocate, answer yes.)
Written answers (2)
- Please briefly describe your experience with data and analytics, including how you've used SQL (e.g. academic projects, extracting data for analysis, dbt models, etc.).
- Describe a customer-facing technical sale you supported — what was your role, what technical problem did you help solve (SQL/data work if relevant), and what was the outcome (deal size, retention, etc.)? optional
Attachments (1)
- Cover Letter optional
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