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Software, Artificial Intelligence, Data Management

Founding Product Engineer

San Francisco, California, United StatesOnsiteFull Time$200,000–$250,000 /yrPosted 2 months agoHidden Gem · YC Startup

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Role summary

Seeking a Founding Product Engineer to lead the end-to-end development of a new product, building on existing APIs. This role involves owning product strategy, execution, core algorithm development for AI agents, and production-quality UX. The ideal candidate has 5+ years of experience shipping production software, a strong understanding of system architecture, and a 'founder mentality'. Prior experience working with sales/GTM teams is highly beneficial. This is a critical, early-stage role with significant impact and excitement.

**We’re hiring the first engineer for our new product. You will own this from start to initial launch**.

Building the best APIs for realtime people and company data took us from 0 to $4M ARR in first 9 months while catering to just <1% of our customers. Now we want to democratize its access to everyone else with our new product.

### **Who you are**

* 5+ years of experience in shipping production software
* Prior experience of working with sales/gtm teams in the past would be extremely beneficial
* A true grinder - we work very hard
* Founder mentality - someone who wants to be a founder in future OR was a founder earlier and hates eating glass every day.

This is a role with founder-level excitement of uncovering the unknowns minus the risks

### **What you’ll be doing**

* Lead the 0→1 build of a new product on top of our APIs. Including building core algorithms and architecture for creating deterministic AI agents on the fly from natural language
* Own product strategy and execution end-to-end: user discovery, scoping, rapid prototyping, shipping, iteration, and metrics.
* Collaborate with Sales/CS to define high-leverage workflows
* Build production-quality UX (fast, simple, correct), with pragmatic choices over perfect abstractions.
* Partner with the Head of Engineering on architecture, reliability, and data/privacy guardrails.
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