Product Engineer (Backend or Fullstack) Compensation: $180K$250K + Equity (0.08%0.3%) Location: San Francisco, CA - Full time,(Hybrid 4 days onsite) Who are we? Were 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 $60M+ in Series A funding, were already cash flow positive and generating over $10M in ARR. Our team of 20 ismostly engineers and operates with speed, autonomy, and intensity from our San Francisco HQ. What's in it for you? Competitive compensation: $180K-$250K base + equity (0.08%0.3%)

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 that are used in production, fast

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

Work cross-functionally with compliance, product, and executive teams

Move fast with a small, elite podshipping 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 (MonThurs, ~8 AM7 PM+)

Were only advancing 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

TAd a hard CS course? That's a strong green flag

Bonus: Understanding of auto loan servicing workflows

Be ready to answer these questions. Why do you want to work at a startup?

Are you willing to work in person in SF with longer hours than a typical job?

What's the hardest technical challenge you've ever tackled or built?

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