---
title: 'Frontend Engineer, Data Visualization at Omni'
canonical: 'https://feeny.ai/job/frontend-engineer-data-visualization-omni-san-francisco-hrwbzddz74aj'
type: 'job'
last_seen: '2026-10-17'
---

# Frontend Engineer, Data Visualization at Omni

- **Company:** Omni
- **Location:** San Francisco, CA
- **Compensation:** $160k–$250k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-05
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/omni/40c5ad19-2fa1-4787-b654-4f274989aa77

## Job description

## About Omni

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.

## The Role

We're looking for a Frontend Engineer to set the technical direction for data visualization at Omni. You'll draw on your data viz experience to shape how customers see and interact with their data, working closely with our Product Manager, who also comes from a data viz background, and the engineers currently building in this area. You'll also design and build the visualization components and data pipelines behind that work.

## Responsibilities

- Set technical direction and North Star for Omni's data visualization capabilities
- Partner with the Product Manager and engineering team to translate viz strategy into shipped features
- Bring industry best practices and experience to raise the bar on visualization quality and performance
- Design and build front-end visualization components and the underlying data pipelines that power them
- Mentor and technically guide engineers already working on the visualization work stream
- Move quickly and ship iteratively, refining based on customer feedback
- Use AI coding tools (e.g., Claude Code) to maximize velocity and focus on the highest-leverage technical work

## About You

- 5+ years of software engineering experience, including 2+ years operating at a senior level
- Deep, demonstrable experience in data visualization, ideally with industry recognition or a strong portfolio of shipped visualization work
- Strong proficiency in TypeScript or JavaScript
- Experience with data or business intelligence tools or applications (e.g., SQL, Looker, Tableau, Mode, Amplitude, Google Analytics)
- Demonstrated ability to set technical vision and influence a team without requiring formal authority
- Proficiency with AI coding tools and workflows (e.g., Claude Code, Cursor)

Nice to Haves

- Startup experience
- Experience building data products
- Familiarity with data warehouses like Snowflake, BigQuery, or Redshift
- Background in data viz research or academic work

## Our Stack

- JavaScript / TypeScript
- React with Remix
- Kotlin / Java
- AWS
- Vega / Vega Lite / Echarts

Location This role is based in San Francisco, or remote for candidates based near one of Omni's engineering hubs (Philadelphia, Boulder/Denver, Santa Cruz, or Seattle); final-round interviews are conducted in person.

## Why Join Us

- Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
- Health, dental, and vision insurance
- 401(k) Plan (for US-based roles)
- 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.

## About Omni

## Company Overview
- **One-liner**: Omni provides an AI-powered analytics platform built on a semantic layer that enables anyone—regardless of technical skill—to ask questions, explore data, and get trusted insights using SQL, spreadsheets, AI, or point-and-click interfaces.
- **Entity Type**: Private (Series C, $235.9M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Colin Zima, Jamie Davidson, Chris Merrick

## Core Business
- **Primary industry**: AI analytics, business intelligence, data platform
- **Target customers**: B2B, Enterprise, SMBs, data teams, business users; also offers embedded analytics for product companies
- **Mission or purpose**: "Help people get answers with AI" – ensuring governed, trustworthy, and fast access to data for every user.

## Products & Services
- **Omni AI Analytics Platform**: Core SaaS platform that includes AI chat (“Ask”), point-and-click workbook builder, SQL IDE, spreadsheet interface, dashboards, and automated insights (“Summarize”). Built on a semantic layer that enforces permissions, governance, and version control via Git.
- **Embedded Analytics**: White-label solution with SSO embedding, APIs, and MCP server for integrating AI analytics into customer products.
- **Semantic Layer & Modeling Agent**: Captures business logic, metrics, and context; AI agents help build models and generate documentation.
- **MCP Server & APIs**: Access the semantic layer from any AI platform (e.g., custom GPTs, Copilot). Integrates with Snowflake, BigQuery, Databricks, Redshift, Postgres, Clickhouse, MySQL, MotherDuck, SQL Server, dbt, Git.

## Market Standing
- **Valuation**: $1.5 billion (per LinkedIn, likely Series C)
- **Key Metric**: Total funding $235.9M (Series C $120M led by ICONIQ Growth, April 2026; Series B $69M led by ICONIQ Growth, April 2025; Series A $17.5M led by Redpoint, August 2022; Seed $9.4M led by First Round Capital, April 2022; additional venture round $20M in 2024)
- **Notable Investors/Partners**: First Round Capital, Redpoint, ICONIQ Growth; also acquired Explo (a smaller analytics startup)
- **Growth Signals**: 193 employees (monthly headcount growth +5.9%); active hiring with 30 open roles; opened offices in Dublin, Sydney, Toronto, Philadelphia; >20,000 LinkedIn followers (+9.6% monthly); talent sourced from Snowflake, Fivetran, Google, dbt Labs, Looker, Sigma, Monte Carlo.

## Competitive Advantages
- **Semantic layer**: Ensures AI-generated answers are accurate, governed, and consistent with defined business logic, reducing “hallucinations” and data discrepancies.
- **Unified experience**: Supports multiple interfaces (SQL, spreadsheet, AI chat, point-and-click) in one platform, allowing teams to work in their preferred tool without switching contexts.
- **Git-based version control**: Enables collaboration, branching, and rollback – a rare feature in analytics tools, appealing to engineering-minded data teams.
- **Embedding & MCP server**: Allows companies to surface AI analytics directly in their own products, expanding use cases beyond internal BI.

## Strategic Focus
- **Scaling AI analytics**: Deepening AI capabilities (agents, automated summaries, modeling) while maintaining governance and security.
- **Global expansion**: Growing sales and engineering teams in EMEA (Dublin) and APAC (Sydney), with a focus on enterprise customers.
- **Platform ecosystem**: Building integrations with modern data stacks (dbt, Snowflake, Databricks, MCP) and enabling third-party AI platforms to query the semantic layer.
- **Acquisition integration**: Absorbing Explo to accelerate embedded analytics capabilities.

## Why Work Here
- **Culture & Mission**: “Get insights without waiting in line” – strong emphasis on empowering users with fast, trustworthy data. Engineers share weekly updates on AI, Git, and dbt integration.
- **Remote/Hybrid Policy**: Hybrid model with regional hubs (San Francisco, Santa Cruz, Philadelphia, Toronto, Dublin, Sydney). Some roles are fully remote (US) or on-site/hybrid depending on location.
- **Notable Perks**: Work with a team of experienced data veterans (ex-Looker, Google, Stitch, Talend). Opportunity to shape the future of AI-native analytics. Strong engineering culture rooted in governance and developer experience.
- **Growth Trajectory**: Rapidly scaling (193 employees, recent $120M Series C at $1.5B valuation). Active hiring across sales, engineering, support, and marketing – 30 open positions as of mid-2026.

## Sources
1. [omni.co](https://omni.co/) – Official website
2. [omni.co/about](https://omni.co/about) – Founders and company story
3. [linkedin.com/company/exploreomni](https://www.linkedin.com/company/exploreomni) – Company details, funding, headcount, revenue, employee growth
4. [builtin.com/company/omni-omnico](https://builtin.com/company/omni-omnico) – Job listings, offices, culture summary
5. [jobs.ashbyhq.com/omni](https://jobs.ashbyhq.com/omni) – Active careers page

## Other roles at Omni

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- [Enterprise Account Executive, Singapore](https://feeny.ai/job/enterprise-account-executive-singapore-omni-singapore-8agfkyymadgt) — Singapore
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