Interfaceai seeks a Hands-On Engineering Manager for their AI-native banking assistant products in Palo Alto and San Francisco. The ideal candidate should possess extensive backend engineering experience, particularly in low-latency systems and AI-driven architectures, with a strong focus on leadership and hands-on development
Job Summary
The company is building a universal banking assistant powered by its proprietary BankGPT platform to autonomously drive consumer financial goals.
This hands-on Engineering Manager role requires orchestrating multiple AI agents with memory, planning, and tool use within low-latency production systems.
Candidates must demonstrate an AI-first mindset while leading a high-performance team to ship robust, secure, and scalable financial products.
Matching Summary
Match Score: 85
Interfaceai seeks a Hands-On Engineering Manager for their AI-native banking assistant products in Palo Alto and San Francisco. The ideal candidate should possess extensive backend engineering experience, particularly in low-latency systems and AI-driven architectures, with a strong focus on leadership and hands-on development.
Salary
Base: $200,000 - $240,000; Bonus/Equity: Performance bonus and equity options; Benefits: Not specified
Skills & Requirements
Must-have
8+ years backend engineering experience
Low-latency distributed systems architecture
Hands-on LLM and agentic workflow design
Typescript and Node.js or Go proficiency
Real-time voice and streaming system expertise
Nice-to-have
Experience in fintech or regulated environments
Founder-level mindset and extreme ownership
Multi-agent reasoning framework familiarity
Reinforcement learning optimization loops
Structured evaluation pipelines for AI agents
Key Requirements
8+ years of backend engineering experience
3+ years working with LLM-powered systems
2+ years in engineering management
Deep understanding of distributed systems and concurrency
Work Rights
Must live within commuting distance of Palo Alto or San Francisco office