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
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 the company's own teams and its customers build and deploy agents.
An AI-native consumer banking experience that acts on people's behalf.
What You'll Own
Architecture and build - you design the systems for your domain and you write the code; you set the technical standard by example, not from a distance.
The technical bar - you ship, you review, and you hold the line on quality and velocity across your domain's pods.
The engineers and leads in your domain - you steer and unblock them, growing the technical capability of the team without becoming a pure manager.
Outcomes, with your Domain PM - what the domain delivers and the impact it has, not just how it's built.
An AI-native way of working - you build on frontier models and embed AI development tools (Claude Code, Cursor) as standard practice for everyone in your domain.
- Staff Engineer level with strong generalist skills, ideally with startup experience
- Core tech stack includes Node, React, and Python
- Experience in startups (Series A-C) with a track record of building impactful technology
- Zero to one thinking, able to take projects from concept to production
- 6-14 years of experience as a staff or principal software engineer
- Has worked at a startup through a scaling stage (Series A to C, sub 500 people) and built something of lasting value as it grew
- Owned a critical system or product end-to-end from 0-to-1
- Experience as a hands-on technical founder who has scaled a product
- BS/BA in Computer Science or a related technical field
- MS or PhD in a related field preferred