




Summary: This Founding Engineer role offers an early-stage opportunity to shape product and company development within a high-risk, high-reward startup environment, ideal for self-starters passionate about solving technical challenges. Highlights: 1. Opportunity for significant product and company development exposure 2. Ideal for engineers interested in future founder roles 3. Join a funded pre-seed startup with experienced founders Role: Founding Engineer Location: San Francisco or Berkeley, CA (2x/week Hybrid) Company Stage: Pre-Seed Startup (funded) Category: AI, SaaS, Analytics, Fintech Compensation: $100-$200K, 1-10% (sliding scale cash/equity) Referral: $1K referral award accepted if your contact is hired About The Company • 2x Founder with a successful exit, 15+ years tech industry experience • $500K in committed funding, additional resources available from angel group • Advisory team available from brand name firms like Uber, Doordash, Google, Square • 3+ committed customers The Opportunity The role is ideal for an early-mid career engineer who has 2+ years experience in big tech or at a larger venture-backed organization -- you have an interest in being a founder later in your career and/or getting exposure to the earliest stages of product and company development. This is by definition a high-risk, high-reward situation; you will earn meaningful equity that will be highly valued from Day 1 and could turn into millions; there also won’t be a safety net typical of a larger company -- we have to make our own opportunity. Your risk is mitigated by 1) meaningful salary even on the lower end, and 2) relationship with founder(s) that will help you find the next job again if for whatever reason this does not move forward -- that said, we have every expectation this company will achieve venture scale. About You • 2-9 years total career experience as a full-stack software engineer • Do not need to be full-stop ‘AI engineer’ but exposure is helpful • Experience with integrations will be important • Interest in business, finance, GTM data analytics at least on intellectual level will be helpful • Need to be a self-starter, solving technical challenges and learning new things gets you motivated; collaboration skills are likewise important • To discuss: stack(s) used, specific skills


