Staff Solutions Engineer, Pre-Sales
Summary
Staff pre-sales solutions engineer at Omni, an AI analytics/BI platform built on a semantic model. Day to day: lead technical discovery, demos, and POCs for large enterprise deals, mentor the SE team, and feed field insights into the product roadmap. Core tech: SQL, cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift), dbt, and BI tools.
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 Staff 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, all while mentoring other SEs along the way.
Responsibilities
Partner with Sales leadership to provide technical expertise on our most strategic and complex opportunities, 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) for our largest and most complex evaluations, enabling prospective customers on how to successfully use Omni on their data.
Provide technical leadership across the Solutions Engineering team — mentoring SEs and shaping best practices for discovery, demos, and POCs.
Partner with Product leadership to influence the roadmap based on patterns observed in the field.
Represent the Solutions Engineering org in strategic, executive-level customer conversations.
Smoothly transition trials into successful customers by partnering with post-sales teams and engaging with our partners to plan for ongoing support where needed.
About You
10+ years of pre-sales experience (Solutions Engineering, Sales Engineering, or Solutions Architecture) within business intelligence or data analytics, supporting enterprise customers.
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 track record leading technical discovery, product demonstrations, Proofs of Concept (POCs), and technical evaluations with senior business and technical stakeholders at enterprise accounts.
Demonstrated experience mentoring or leading other Solutions Engineers and shaping team-wide technical practices.
Strong SQL skills, using SQL for analytics.
Exceptional, consultative communication skills across technical, non-technical, and executive audiences.
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.
Location
This is a fully remote role open to candidates based anywhere in the US, with a preference for candidates based in the Central or Eastern time zones.
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 · 7 questions · 2 written answers
Basics
Name, Email, Resume
Short answers (2)
- Phone
- LinkedIn URL
Pick from a list (2)
- 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?
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
Y Combinator