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Staff Software Engineer - FinTech Prestigious Startup

Confidential

San Francisco, California, United States permanent

Posted: March 18, 2026

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Quick Summary

Staff Software Engineer at an AI-native banking platform in San Francisco, responsible for designing and developing software solutions for automated loan origination, with expertise in AI and software engineering.

Job Description

Staff Software Engineer

Our Client | AI-Native Banking Platform San Francisco, CA (On-site)

$185K – $255K base + competitive equity

US citizens preferred (no new H-1B sponsorship; case-by-case H-1B transfers possible)

About Our Client Our Client is building AGI for banking — replacing decades-old legacy systems with AI-native technology that automates 90% of manual work in small business lending and loan origination. They deliver a compliant, responsible AI Loan Origination System (LOS) for FDIC-insured banks, regional lenders, and non-bank lenders — enabling instant pre-qualification, superhuman underwriting, document analysis (10,000+ pages), 24/7 AI Loan Assistant, and massive cycle-time reduction. Founded in 2023 by Stanford banking + ML experts. Backed by Y Combinator, Peterson Ventures, Clocktower Technology Ventures, The Sarah Smith Fund, and others. ~$33M raised. Team of 35, high-intensity startup environment in SF.

The Role We are hiring a Staff Software Engineer (7+ years product-focused engineering) to act as a force multiplier: a holistic technical leader bridging code, people, and business outcomes while mentoring juniors and driving engineering excellence. You will have outsized impact on product, organization, and culture as the company scales.

Key Responsibilities

• Lead architectural decisions and own complex, cross-team initiatives — balancing long-term system stability with the high velocity required in a Series A startup.

• Spend ~70% hands-on coding and ~30% on technical leadership & mentorship for one of the core product teams (Applicant, Lender, or Platform).

• Mentor and develop junior engineers; amplify team skills, vision, and best practices.

• Collaborate across engineering, product, and leadership to ensure a cohesive, high-quality system; transplant learnings organization-wide.

• Potentially interact directly with customers / customer-facing teams during working sessions to gather requirements and validate that the highly configurable platform meets real needs in regulated lending.

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