Staff Software Engineer - Data & AI
About the role
Own features end-to-end - Take ideas from early concept through production across agent workflows, close management, and data & network. You won’t just write code - you’ll ship real systems, iterate quickly, and see the impact of your work in production.
Think beyond the task - Take initiative, understand the broader system and business context, and help drive both product and technical decisions. This is not a ticket-driven role.
Leverage AI-accelerated development practices - Use modern AI coding tools to improve development velocity, code quality, and testing efficiency while building robust, secure, and scalable infrastructure.
Backend-focused, full-stack mindset - Your core focus will be backend systems across agent workflows, close management, and data & network, but you’re comfortable operating across APIs, data, infrastructure, and DevOps when needed.
Mentor and guide the team - Support and mentor engineers, and guide architectural decisions to raise the technical bar across the team.
Partner across stakeholders - Work closely with Product and Engineering Management to ensure alignment on mission, prioritization, and team focus. Be a focal point for engineering questions, bringing a business mindset and a clear understanding of our goals.
Design for scale - Build backend services that are reliable, maintainable, and architected to scale with the platform.
As a Staff Engineer, you’ll play a leading technical role across our Data & AI domains - agent workflows, close management, and data & network. You’ll design and build the foundational systems that power these products, working on high-impact, mission-critical services and helping set the technical bar for the team.
What you’ll do:
What you will bring
8+ years of professional software engineering experience, with a strong backend focus
Proven experience building or operating large-scale systems in fintech, AI-driven products, or high-volume data environments
Experience owning mission-critical systems where low latency, correctness, and high availability are essential
Proven track record of taking products and systems from 0 to 1, balancing speed, quality, and innovative problem-solving
Strong builder mindset with experience taking complex systems from idea to production and scaling them in production
Comfortable operating across the stack when needed, from APIs and business logic to infrastructure and deployment
Deep experience building and operating systems on GCP
Modern engineering mindset, leveraging automation and AI tools to increase impact and velocity
Strong communication skills and ability to collaborate effectively in small, senior teams