Chief Engineer
US$330,000 – US$375,000 / yr base salary
Posted 29 Jun 2026
Advertised as “Chief Engineer (Principal Engineer) ”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- On-Site
- Contract
- Full-time
- Visa sponsorship
- Offered
| Base salary | US$330,000 – US$375,000 / yr |
|---|
Study levelMaster's or higher
About interface.ai
interface.ai is the agentic AI platform for financial services — bringing conversational and agentic AI to the credit unions and community banks that serve everyday Americans. We're not a lab, we're not a demo company, and we're not burning runway on hypotheticals. We are in production, generating real revenue, and on a mission that matters: making intelligent financial services available to the millions of people who've never had a private banker. More than 100 banks and credit unions run on interface.ai, reaching over 10 million people. Many products are live today; the biggest bets — an AI-first contact center and an AI-native consumer banking experience — are what comes next. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point: a proven product, paying customers, and a profitable business rebuilding itself as an AI-native company to lead a world where agents, not software, do the work.
The Role
As a Chief Engineer you own a domain end-to-end and you are deeply hands-on. You architect and build alongside your team, you set the technical bar by doing the work, and you steer the rest of the domain through its engineers and leads. You run a pod directly, hold a weekly council seat alongside the founders, and partner with your Domain PM as an equal. This is the most senior technical track in the company — leadership through technical credibility, not headcount. Because AI handles the routine, everyone on the team is senior and high-leverage. This is a rare chance to own an entire domain of a profitable, category-leading AI company outright — and to shape where banking goes next.
Areas You Could Work On
These are some of the areas a Chief Engineer could own:
• The core AI runtime and the intelligence systems — knowledge, retrieval, evaluation, and the data flywheel — that make the AI reason well and keep improving.
• The AI agents members talk to across voice and chat, and the AI-first contact center that makes employees dramatically more capable.
• The integrations and computer-use work that let agents take real action in the systems institutions run on.
• The systems that turn AI conversations into measurable outcomes, plus the operational backbone that keeps the platform fast and reliable.
• The shared data platform every team builds on, and the cross-customer fraud detection that protects millions of members.
• The platform on which interface.ai's own teams and its customers build and deploy agents.