Senior Solutions Engineer, Pre-Sales

Reposted 21 Days Ago
Hiring Remotely in United States
Remote
175K-230K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Database • Analytics • Business Intelligence
The Role
As a Senior Solutions Engineer in Pre-Sales, you will provide technical expertise to the sales team, create Proofs of Concept, and transition trials to successful customers while collaborating with product and engineering teams.
Summary Generated by Built In
About Omni

Omni is a business intelligence and embedded analytics platform that helps customers improve self-service, accelerate AI adoption, and build customer-facing data products. Whether users prefer AI, spreadsheets, SQL, or point-and-click, Omni makes it easy for anyone to explore and act on data — all from the same platform. At the core of Omni’s platform is a built-in semantic layer that ensures consistency, trust, and AI readiness.

Headquartered in San Francisco, Omni has office hubs in Santa Cruz, Philadelphia, Dublin, and Sydney, with team members around the world. The company has raised $97M in funding from leading investors including ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.

About the Role

As a Pre-Sales Solutions Engineer, you will become an expert in the Omni platform, empowering our customers to do more with their data throughout their lifecycle. You will work with companies across all different industries, regions, and company sizes. We have a high-touch forward-deployed model, and through our process you will constantly be learning and discovering new use cases and needs. You will advocate for our users, and help shape product direction as you share experiences and feedback from the field.

You will:
  • 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 in the Omni Platform as part of the evaluation process, while 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:
  • 7+ years experience in data analytics and/or technical pre-sales role

  • Strong SQL skills, using SQL for analytics

  • Experience in a client-facing role, desire to work closely with customers

  • Exceptional, consultative communication skills across technical and non-technical audiences

  • Passionate about working with data

  • Love learning; enthusiastic about helping and teaching others

  • Prior experience with business intelligence and/or enterprise data analytics tools, modeled BI preferred (such as Looker)

This role can either be remote or a hybrid work schedule, with 3 days per week in office with the team in our SF headquarters.

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

  • Comprehensive benefits, including 401(k) plan, and health, dental, and vision insurance

  • Unlimited PTO and paid parental leave

  • Cutting-edge technical environment; collaborative and innovative company culture

  • Uncapped commissions with real possibility of substantial over-performance

Top Skills

Business Intelligence
Data Analytics
Looker
SQL
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The Company
HQ: San Francisco, CA
641 Employees
Year Founded: 2022

What We Do

Omni is a business intelligence and embedded analytics platform that empowers everyone—regardless of technical ability—to easily analyze data using SQL, spreadsheets, AI, or point-and-click interfaces. It is built on a semantic layer that makes sure every insight is accurate and dependable.

Beyond powering internal analytics, Omni makes it easy for businesses to offer highly customizable in-product analytics to its customers.

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