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?