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.
Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows
Design queues, and workers for enrichment, routing, assignment, and activation
Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors
Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems
2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
Track record of owning complex, end-to-end systems that serve real users or business-critical workflows
Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output
Strong debugging instincts
You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.
Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs
dbt for transformation, data models, and tests
Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries
AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing
Fivetran
Python and SQL
Terraform and GitHub Actions
Soda
Omni
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.
Skills Required
- 2+ years building data platforms, backend systems, workflow engines, or data/ML infrastructure
- Deep experience with analytical data systems (Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar)
- Proven ownership of complex end-to-end systems serving real users or business-critical workflows
- Strong judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
- Strong debugging instincts and ability to troubleshoot production issues
- Experience with Python and SQL
- Experience with Dagster, dbt, Snowflake, AWS (Batch, Lambda), Fivetran, Terraform, GitHub Actions, Soda, or similar tools
- Experience integrating external vendor APIs, webhooks, and downstream business systems
- Ability to collaborate with GTM teams to productionize experiments into reusable primitives
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.
