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Omni Analytics

Unified analytics platform with governed metrics

Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-time$160k - $250k /yr

About the Job

Requirements

  • At least 5 years of software engineering experience, including at least 2 years operating at a senior level and independently shipping production software.
  • Strong proficiency in JavaScript or TypeScript and HTML or CSS.
  • A proven track record of delivering senior-level projects to customers.
  • Experience with data or business intelligence tools or applications such as SQL, Looker, Tableau, Mode, Amplitude, or Google Analytics.
  • Proficiency with AI coding tools and workflows such as Claude Code or Cursor.
  • Experience building and maintaining APIs or SDKs consumed by external customers.

Responsibilities

  • Own frontend features end-to-end, including technical decisions, implementation, and delivery.
  • Partner directly with customers and the product team to scope integration requirements.
  • Design and build APIs, SDKs, and front-end surfaces that let companies embed Omni in their own products.
  • Ship iteratively and refine work based on customer feedback.
  • Use AI coding tools such as Claude Code to maximize velocity and focus on high-leverage technical work.
  • Collaborate with engineers across the stack as needed, working without day-to-day oversight.
  • Represent Embed customer needs in broader product and engineering planning.

Desired Qualifications

  • Startup experience.
  • Working confidence in Java or Python.
  • Experience building SaaS applications that run in the cloud.

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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