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Omni Analytics

Unified analytics platform with governed metrics

Senior Solutions Engineer - Pre-Sales

Pre-Sales Solution EngineeringUpdated on Nov 13
Full-timeDublin, Ireland

About the Job

Requirements

  • Seven to ten years of experience in enterprise pre-sales business intelligence or data analytics focused on new-logo acquisition, in Solutions Engineering, Sales Engineering, or Solutions Architecture.
  • B2B SaaS pre-sales experience.
  • Deep expertise with the modern data stack, including cloud data warehouses such as Snowflake, BigQuery, Databricks, or Redshift; transformation tools such as dbt; and the broader analytics ecosystem.
  • Experience leading technical discovery, product demonstrations, proofs of concept, and technical evaluations with business and technical stakeholders.
  • Strong SQL skills for analytics.
  • Consultative communication skills across technical and non-technical audiences.

Responsibilities

  • Partner with the sales team to provide technical expertise in the sales process and beyond, uncovering and proving use cases that showcase the value of the Omni platform.
  • Lead technical discovery, product demonstrations, and proofs of concept during evaluations, enabling prospective customers to use Omni with their data.
  • Transition trials into successful customers by partnering with post-sales teams and engaging partners to plan ongoing support where needed.
  • Mentor junior Solutions Engineers and raise the quality of discovery, demos, and proofs of concept across the team.
  • Collaborate with Product, Design, and Engineering to provide user feedback and guide product direction.

Desired Qualifications

  • Prior experience with business intelligence or enterprise data analytics tools such as Looker, Omni, Tableau, Power BI, Mode, or Sisense.
  • Startup experience.

About the Company

Omni Analytics

Unified analytics platform with governed metrics

Omni Analytics is a cloud-native business intelligence and data analytics platform that unifies fast ad-hoc exploration with governed metrics. It uses a shared semantic model as the single source of truth so end users can query data via SQL, spreadsheets, or natural language while data teams maintain consistent logic. The Meld engine enables schema-flexible joins and bidirectional modeling, with write-back to the central logic and AI features anchored to the semantic model for trusted insights. It integrates with Snowflake, BigQuery, and Databricks and targets mid-to-large enterprises, offering core BI and embedded analytics to align decisions across departments.

Company size
501-1,000
Company stage
Series C
Total funding
$218.4M
Headquarters
San Francisco, CA
Founded
2022

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