Product Engineer
Remote · USJob$160–250K/yrPosted 3mo agoStill listed 3 days ago
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At a glance
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Job overview
Omni is an AI analytics platform that transforms company data into a trusted source of truth for AI. The Product Engineer will work with product and customers to understand problems, build advanced data modeling capabilities, improve AI agents, enable data uploads, and develop APIs, CLIs, and tools across the stack.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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.
About the Role Software Engineers at Omni work with our product and customers to understand problems and use cases to solve, and then operate across our tech stack to solve them. You'll work on a team with deep experience in the space, and you'll have the autonomy to prioritize and solve problems by yourself, or in collaboration with other members of the team.
One of the company values at Omni is "Ship it!" - we move quickly, ship often, and then iterate until it's great. We use Claude Code to drive productivity, allowing us to focus on the most complex technical and product work, while delegating the rest to our agents.
Our product engineers are passionate about at least one aspect of our product, for example:
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Improving Blobby, our AI agent, to handle more complex analyses and new workflows
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Building advanced data modeling capabilities like aggregate awareness for approximate count distinct measures
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Allow users bring their own data through CSV uploads, spreadsheets, and input tables
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Building APIs, CLIs, and MCP tools to allow users to work with Omni from anywhere
About You
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3-10+ years of experience building production software
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Opinionated about how to build great products and features
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Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence
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Experience doing analytical work with tools like SQL, Looker, Tableau, Mode, Amplitude, Google Analytics
Nice to Haves
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Experience building data products
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Familiarity with data warehouses like Snowflake, BigQuery, Redshift
Our Stack
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TypeScript
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React with Remix
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Kotlin / Java
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AWS
Why Join Us
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Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team
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Health, dental, and vision insurance
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401(k) Plan (for US-based roles)
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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.
How this job compares
Set against the 1,702 open Product Engineer jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$160–250K/yr
- California median$157–250K/yr402 salary ranges
- US median$137–230K/yr1,243 salary ranges
This range's midpoint, $205K, is close to the California median midpoint ($200K) — in the middle half of Product Engineer salary ranges in California.
- Openings
- Olive Jobs lists 551 open Product Engineer jobs in California and 1,702 across the US. 5% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 10 years of experience — more than three in four Product Engineer postings that state a minimum ask for (median 5 years, across 1,353 postings).
- Education
- 581 of the 1,702 open Product Engineer jobs (34%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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