Job Description
Career Renew is recruiting for one of its clients a Founding Software Engineer - this is an onsite role in San Francisco. Salary range: 200-225K USD base plus benefits plus equity.
We are looking for a Founding Software Engineer with 0-8 years of experience to join our founding team and help build AI systems that control enterprise spend at scale. You'll work alongside former early leaders at Zip ($2.2B procure-tech startup) to solve complex data problems for F500 customers: think dirty data, massive volume, and real bottom-line impact. This is not a flashy consumer AI play; it's a deeply technical, enterprise-grade challenge backed by $5M from 8VC and Jeff Lawson (Twilio founder). If you want to found a company in the future, this is the perfect training ground.
What will you be doing?
Building and shipping full-stack product features end-to-end as a core member of the founding engineering team
Solving hard data problems at scale: continuously verifying what enterprises have negotiated vs. what they've paid across massive volumes of dirty data
Making strategic product and technical decisions that shape the company's direction from day one
Working directly with enterprise customers (F500s in CPG, retail, healthcare) to understand their problems and deliver solutions
Contributing to AI/LLM systems that drive millions in savings for the world's largest organizations
Requirements:
Impressive, relevant work history at top-tier companies: FAANG, brand-name tech (Airbnb, Figma, Datadog-tier), or Series A/B+ startups backed by reputable VCs
Excited about working in a deep enterprise B2B / procurement space : solving dirty data problems at massive scale for F500s
0 - 8 years of experience in full-stack software engineering
Full-stack, front-end, or back-end product engineering experience shipping real products (leaning either direction is fine)
Top CS program required for new grads
Full-stack application development (shipped real products end to end)
Nice-to-have:
Former founder or founding engineer at a reputable, VC-backed startup (highest-caliber profile)
Experience with modern LLM systems, evals, or frameworks
Enjoys talking to and helping enterprise customers
Culture fit with a 25–28 year old founding team (early-career, high energy, wants to build 0-1)
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