Job Openings Product Engineer (Backend or Fullstack)

About the job Product Engineer (Backend or Fullstack)

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 is mostly 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.

  1. Why do you want to work at a startup?

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

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


Or refer someone