New comment by dirtbag__dad in "Ask HN: Who is hiring? (October 2026)"
- Status
- Open
- Remote policy
- Hybrid
- Employment type
- Not stated
- Salary
- Not stated
- Source
- hn-whoishiring
- First observed
- 2026-10-02 17:41 UTC
- Last seen
- 2026-10-02 17:41 UTC
- Source claims posted
- 2026-10-02 16:30 UTC
- Consecutive misses
- 0 of 10
What the posting says
meetyogi.com | 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.
Email me at jon.young(at)meetyogi.com or connect w me on linkedin /joncyoungii if you want to learn more. Happy to answer any questions you have honestly and refer you if it makes sense on both ends
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- x Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Not enough history yet to judge honesty signals.
Timeline
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#1139010 2026-10-02 17:41 UTCPublished