Join to apply for the Product Engineer role at Jenn Nguyen and Friends . 1 week ago Be among the first 25 applicants. Product Engineer (Backend or Fullstack) | Compensation: $180K-$250K + Equity | Location: San Francisco, CA - Full time, (Hybrid 4 days onsite) Who are we? We're a stealth-stage, high-growth AI startup transforming auto loan servicing by automating consumer-facing communications with voice AI. Our platform supports major financial institutions by handling sensitive, compliance-driven calls related to loan verification and delinquency resolution. Backed by top-tier investors with over $60M in Series A funding, we're already cash flow positive and generating over $10M in ARR. Our team of 20, mostly engineers, operates with speed, autonomy, and intensity from our San Francisco HQ. What's in it for you? Competitive compensation: $180K-$250K base + equity Flexible cash vs. equity split Visa sponsorship available In-person collaboration: 4 days/week in SF, starting at 8 AM daily Extreme ownership over products in production, fast-paced environment Work alongside world-class engineers building frontier tech in a highly regulated space What will you do? Lead development on high-impact product features, both backend and fullstack Build scalable, compliant systems for loan servicing, call auditing, and internal tooling Collaborate cross-functionally with compliance, product, and executive teams Move fast with a small, elite team, shipping and iterating weekly Write clean, efficient Python (this is a Python-native stack) What will you need? 4+ years of software engineering experience Mastery of Python (10/10 fluency expected) Background in both Big Tech (e.g., Google, Meta, Amazon) and early-stage startups Experience building user-facing products and scalable infrastructure Strong academic background (top schools like Stanford, CMU, MIT, etc.) Bonus: TA experience in hard CS classes Bonus: Familiarity with auto lending, compliance, or LLMs Must be comfortable working long hours in-person (Mon-Thu, ~8 AM - 7+ PM) We prioritize candidates who meet most of the following: Proficient in Python (10/10) Top-tier academic pedigree or equivalent technical excellence Experience in both Big Tech and startups Shipped meaningful product at scale Startup-ready: self-sufficient, resourceful, decisive Experience in regulated environments or with LLMs Comfortable working in-person, long hours, early mornings Be prepared to answer: Why do you want to work at a startup? Are you willing to work in person in SF with longer hours? What's the hardest technical challenge you've tackled or built?

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