Product Engineer
ՀեռավարԼրիվ դրույք160 000 – 250 000 USD /տարի
Հայտարարության տեքստը
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 teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.
Our team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.
If you like helping people get more from their data, come build with us. We’d love to hear from you.
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:
- Improving Blobby, our AI agent, to handle more complex analyses and new workflows
- Building advanced data modeling capabilities like aggregate awareness for approximate count distinct measures
- Allow users bring their own data through CSV uploads, spreadsheets, and input tables
- Building APIs, CLIs, and MCP tools to allow users to work with Omni from anywhere
ABOUT YOU
- 3-10+ years of experience building production software
- Opinionated about how to build great products and features
- Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence
- Experience doing analytical work with tools like SQL, Looker, Tableau, Mode, Amplitude, Google Analytics
NICE TO HAVES
- Experience building data products
- Familiarity with data warehouses like Snowflake, BigQuery, Redshift
OUR STACK
- TypeScript
- React with Remix
- Kotlin / Java
- AWS
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.
Ինչպես դիմել
- Ստուգեք, թե որքանով է ձեր ռեզյումեն համապատասխանում․ «Վերլուծել ինձ համար» կոճակը ցույց կտա, թե ինչն է համընկնում և ինչն է պակասում։
- Պատրաստեք ռեզյումեն․ «Ռեզյումե այս հաստիքի համար» կոճակը կկազմի տարբերակ հենց այս աշխատանքի համար։
- Դիմեք բնօրինակ հայտարարությունում․ ներքևի կոճակը բացում է այն։
Victra-ն այս հայտարարությունը հավաքել է Ashby-ից։ Victra-ում կարող եք պահպանել այն, ստուգել, թե որքանով է ձեր ռեզյումեն համապատասխանում դրան, և ամեն օր ստանալ նման աշխատատեղեր։
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