We’re building the AI infrastructure powering the future of financial operations - starting with automating the most painful and complex workflows in loan servicing.
Backed by a16z and Y Combinator, with $65M raised in Series A funding.
8-figure ARR < 2 years already serving > 20% of the auto lending industry, and processing millions of real customer calls and transactions daily.
Fully deployed with major financial institutions - not just PoCs.
We are expanding into new financial services segments!
In-person office culture in San Francisco, CA.
We're fully integrated with our customers, own the full stack, and are moving fast to bring modern AI into regulated industries where precision, reliability, and performance matter most.
About the RoleWe’re hiring a Front-End Lead Engineer to own and scale the architecture behind the interfaces our customers rely on every day. You’ll lead front-end development, guide technical decisions, and build elegant, performant experiences that simplify complex operations.
This is a hands-on role that combines deep technical execution with leadership across design, product, and engineering.
What You’ll DoLead front-end architecture and development for major product areas
Design and implement high-quality, responsive interfaces using React + TypeScript
Define technical direction and best practices for front-end performance, testing, and accessibility
Partner with our engineering team and customers to turn complex workflows into intuitive user experiences
Build and evolve a shared component library and design system
Mentor other engineers through code reviews, technical design, and hands-on collaboration
Work closely with backend leads to shape API contracts and integration standards
Contribute to engineering culture, process, and hiring as we scale the team
7+ years of professional experience building production-grade web applications
Deep expertise in React, TypeScript, and modern front-end tooling
Strong understanding of performance optimization, scalability, and maintainable architecture
Experience leading technical initiatives and mentoring other engineers
Familiarity with data visualization libraries (Chart.js, D3, etc.)
Customer-obsessed mindset - you actively engage with users, understand their workflows, and translate their pain points into product improvements
Strong sense of ownership and bias for action - you move quickly, make pragmatic trade-offs, and care deeply about delivering value to real customers
Thrives in an environment where product feedback comes directly from production users and enterprise partners
Excellent communication skills and ability to work cross-functionally
Located in (or willing to relocate to) San Francisco, CA
As an early-stage company building at the frontier of AI, we work with high intensity and commitment. While schedules can vary by role/team, many weeks will demand extra focus, flexibility and time particularly during major launches and high impact sprints. We're seeking those who are aligned to and able to commit to that expectation which includes 4 days per week in our San Francisco Office.
Top Skills
What We Do
At Salient, we’re rebuilding consumer loan servicing from the ground up - with agentic AI at the core. We started with auto lending, a $1.5 trillion industry and one of the most fragmented parts of financial services. We’re powering a more transparent, compliant, and consumer friendly future and seeking smart, driven and passionate colleagues to roll up their sleeves and join us in this mission.
In under two years since launching:
* We’ve grown to over $10M+ in ARR
* Signed enterprise deals with some of the largest consumer lenders in the country
* Reached over 2 million U.S. consumers, powering everything from payments to personalized support
* Achieved cash flow positivity, giving us control over our own destiny
* Raised $65M from top tier investors who believe in our long term vision
* Processed more than $150M in loan payments and flagged $30M+ in fraud attempts using real-time AI systems
* Identified over 35,000 compliance violations through automated regulatory intelligence
