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Omni (omni.co)

Frontend Engineer, Data Visualization

Posted 10 Hours Ago
Be an Early Applicant
Hybrid
Denver, CO, USA
160K-250K Annually
Senior level
Hybrid
Denver, CO, USA
160K-250K Annually
Senior level
Set the technical direction for data visualization, translate strategy into shipped features, and build high-quality frontend visualization components and supporting data pipelines. Partner with product and engineering teams, improve visualization performance, mentor engineers, and iterate rapidly based on customer feedback. The role requires strong TypeScript or JavaScript skills, deep data visualization experience, familiarity with analytics tools, and proficiency with AI coding workflows.
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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.

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