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Omni is an AI analytics platform that transforms company data into a trusted source of truth for AI. Built on a semantic model, Omni provides enterprises with a governed context graph for analytics and AI, enabling teams to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. The company is based in San Francisco and has raised $217M from top-tier investors including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV, with a Series C valuation of $1.5B.
You will set the technical direction for data visualization at Omni, working closely with a Product Manager who also comes from a data visualization background and the engineers currently building in this space. Your responsibilities include establishing the technical vision and North Star for Omni's data visualization capabilities, partnering with the Product and engineering teams to translate visualization strategy into shipped features, bringing industry best practices to raise the bar on visualization quality and performance, designing and building front-end visualization components and underlying data pipelines, mentoring and technically guiding engineers on the visualization work stream, moving quickly and shipping iteratively based on customer feedback, and leveraging AI coding tools like Claude Code to maximize velocity.
The tech stack includes JavaScript/TypeScript, React with Remix, Kotlin/Java, AWS, and visualization libraries like Vega, Vega Lite, and Echarts.
REQUIREMENTS:
- 5+ years of software engineering experience, including 2+ years operating at a senior level
- Deep, demonstrable experience in data visualization 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 (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 (Claude Code, Cursor)
NICE TO HAVES:
- Startup experience
- Experience building data products
- Familiarity with data warehouses (Snowflake, BigQuery, Redshift)
- Background in data visualization research or academic work
