Omni (omni.co) Logo

Omni (omni.co)

Staff Solutions Engineer - Level 4 (Pre-Sales)

Posted 4 Hours Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Lead technical discovery, demos, and large-scale POCs for enterprise customers; mentor Solutions Engineers; partner with sales and product leadership to shape technical playbooks and influence roadmap; drive transitions from trials to production and represent the org in executive customer conversations.
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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 Pre-Sales Solutions Engineer, you'll be a technical leader across the Solutions Engineering org, 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 our most strategic evaluations, setting the technical playbook for the team, and helping shape product direction as you share experience and feedback from the field.

You Will
  • 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 business intelligence experience, including deep experience in pre-sales Solutions Engineering, Sales Engineering, or Solutions Architecture roles 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 preferred (such as Looker, Omni, Tableau, PowerBI, Mode, Sisense, etc).

Location

This is a remote role. You can be based anywhere in the US.

 
Why Join Us
  • Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data.

  • Health, dental, and vision insurance.

  • 401(k) Plan.

  • 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.

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