Lead Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: San Francisco, CA, United States; hybrid work with in-office attendance required Tuesdays, Wednesdays, and Thursdays. Remote placement is not considered. Local Pacific Time hours required; relocation is offered based on job level.
Base salary: $190,000–$215,000 per year, plus potential equity awards and annual bonus.
Company
, formerly LendingClub, develops focused financial products and mobile-first experiences designed to help millions of Americans make financial progress.
What you will do
- Own the design, delivery, and production operation of tools and services that improve operational efficiency.
- Partner with Operations and Underwriting stakeholders to understand workflows and translate pain points into practical technical solutions.
- Make architecture and implementation decisions balancing delivery speed, reliability, security, and maintainability.
- Design secure access, scoping, masking, and auditing practices for PII and sensitive borrower and loan data.
- Identify opportunities to automate manual workflows, including appropriate use of AI.
- Review code and designs, troubleshoot production issues, lead root cause analysis, and mentor other engineers.
Requirements
- 7+ years of backend software engineering experience and a bachelor's degree or higher, or an equivalent combination of education and work experience.
- Deep expertise building backend services with Java and Spring Boot.
- Strong command of AWS and experience with relational and NoSQL data stores.
- Strong practical understanding of responsible handling of PII and sensitive financial data.
- Hands-on experience using AI tools to accelerate work and improve output quality, with sound judgment regarding accuracy, security, data sensitivity, and human oversight.
- Clear communication with engineers and non-technical Operations stakeholders.
- Strong backend engineering skills with enough front-end experience to handle UI work when needed.
- End-to-end ownership, proactive improvement of outcomes, and willingness to develop deep understanding of banking and underwriting domains.
Nice to have
- Experience with lending or banking domain systems.
- Experience in a regulated or financial services environment.
- Experience introducing automation or AI-assisted workflows into existing team processes.
- Experience with data access controls, auditing, or security reviews in a regulated environment.
Culture & Benefits
- Hybrid work model centered on in-person collaboration and local Pacific Time hours.
- Medical, dental, and vision plans for employees and families.
- 401(k) match, health and wellness programs, and flexible time off for salaried employees.
- Up to 16 weeks of paid parental leave.
- Potential long-term equity awards and annual performance-based bonus.
- Travel to offices or other locations as needed.
Hiring process
- For select roles and locations, interviews may be recorded, transcribed, and summarized using AI tools; candidates may opt out before scheduled interviews without discrimination.
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