Senior Software Engineer, Backend / Product

meetyogi.com

New York (NY)

On-site

USD 180,000 - 220,000

Full time

12 days ago
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Job summary

Yogi in New York is seeking a Senior Software Engineer, Backend / Product to help build scalable data platforms and partner with product teams to ship reliable features.

The role focuses on Python backend services (FastAPI), data workflows, and a SaaS UI frontend, with ownership of critical components from design through production.

The position is a hybrid NYC role with competitive compensation and growth opportunities in a Series A environment.

Job description

the company | Senior Software Engineer, Backend / Product | $180-220k | Hybrid NYC | Series A | 35 headcount, ~10 in engineering

Yogi aggregates and analyzes millions of customer feedback data points from online retailer reviews, social, cx ticketing systems, etc to help companies make better decisions about their products and markets. We operate mostly in CPG, where our customers are household brands you'd recognize, both enterprise and up-and-coming.

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Everyone is kind and engaged with work at Yogi. It's a nice vibe.

Our stack is pretty standard SaaS - python (fastapi, prefect), postgres/clickhouse, react/typescript web app. The app experience is what you'd expect from a data analytics platform - charting and agentic workflows that generate insights from the data.

In terms of the moment, we're reaching the bounds of some early domain assumptions, while also figuring out how to expand into new ones. On the code front, broadly speaking we're improving quality and process each quarter by an order of magnitude. AI has been a boon for us. (I've personally invested a lot in our dev tooling to make code output high quality and deterministic)

There's a lot of greenfield opportunity and also scale challenges to be solved on existing tech. No shortage of things to do, ownership is as much as you want to take on.

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Interview process is a chit chat with our CTO, an onsite with a practical coding exercise (not crazy i promise), a system design conversation, and behavioral interview.

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