About the job
Omni develops an AI analytics platform designed to make company data reliable and accessible. The platform combines a semantic model, shared metrics, and Git-based governance to create a context graph for enterprise use. With this foundation, users can query data in plain English, integrate AI agents, and incorporate Omni’s intelligence into daily workflows.
Headquartered in San Francisco, Omni serves customers across EMEA and APAC. The company has secured $97 million in funding from investors such as Google Ventures, Snowflake, Databricks, and ICONIQ.
Role overview
The Senior Pre-Sales Solutions Engineer will become deeply familiar with the Omni platform, guiding customers as they explore and maximize the value of their data. This role involves working directly with a diverse client base, understanding their industries, and uncovering new use cases through practical engagement. Advocating for users and relaying insights from the field to influence product development are also central responsibilities.
What you will do
- Collaborate with the sales team to provide technical expertise during the sales cycle, identifying and validating use cases that demonstrate Omni’s value.
- Build and deliver Proofs of Concept within the Omni platform, helping prospective customers work with their own data during evaluations.
- Facilitate smooth handoffs from trials to ongoing customer relationships by working with post-sales teams and partners to ensure continued support.
- Work closely with Product, Design, and Engineering teams, sharing user feedback to help shape product direction.
Requirements
- Minimum 7 years of experience in data analytics or technical pre-sales roles.
- Strong SQL skills, especially for analytics work.
- Experience in client-facing positions and a collaborative approach with customers.
- Excellent consultative communication skills with both technical and non-technical stakeholders.
- Genuine interest in data and a desire to teach and support others.
- Motivation to keep learning and developing professionally.
- Experience with business intelligence or enterprise data analytics tools is a strong advantage.
Location
This role is based in Australia.

