VP, Global Head of Engineering

About the role

We're looking for a (Global) Vice President of Engineering who has been here before - not just managed engineers, but built an engineering organization from the ground up during a period of real growth. Someone who has scaled a technical team through a Series A → B → C transition, maintained quality while moving fast, and emerged on the other side with a functioning, high-trust engineering culture. You'll partner directly with our Co-Founder Bruce Kim on technical strategy and architecture, work closely with CEO Srinivas Njay on product vision and company direction, and own the end-to-end engineering function globally. You'll manage existing engineers, build out the team aggressively over the next 12-18 months, and set the standards that will define how interface.ai ships software for years to come. This is a player-coach role at the start. You'll be in the architecture discussions, the code reviews, and the late Friday PRs - and you'll also be building the org, running the recruiting pipeline, and presenting engineering strategy to the board. If that breadth energizes you, this is your role.

Responsibilities

• Engineering organization design and growth - build a world-class team from ~10 to 50+ engineers globally, including hiring for Staff, Senior, and mid-level roles across platform, AI, and frontend
• Technical vision and architecture - partner with Bruce Kim to define the platform strategy, drive architectural decisions, and ensure our systems scale with our ambitions
• Engineering velocity and quality - establish the processes, tooling, and culture that let teams ship fast without accruing technical debt that kills momentum
• Cross-functional leadership - serve as the engineering voice in product, design, and executive conversations; translate business priorities into engineering roadmaps and vice versa
• Agentic AI and conversational AI platform - own the evolution of the platform layer that powers our real-time AI products, including LLM orchestration, retrieval systems, and integration infrastructure
• AI-native engineering culture - embed AI development tools (Claude Code, Cursor) as standard practice, and build a team fluent in building on top of frontier AI models
• Recruiting and talent brand - make interface.ai the place top SF engineers want to work; own the technical interview process, the offer strategy, and the employer brand in the market
• Eng/Ops excellence - drive incident response, observability, reliability targets, and the engineering rituals (planning, retrospectives, tech reviews) that keep a fast-moving team aligned

Requirements

• 10+ years of software engineering, with the last 4-6 in engineering leadership roles at high-growth startups or scale-ups
• Proven track record of building and scaling engineering teams - you've grown a team through a funding transition and have the org design scars and wins to show for it
• Deep technical credibility - you can hold your own in a system design conversation with a Staff Engineer, review a PR meaningfully, and debate architectural trade-offs without deferring to someone else's opinion
• Hands-on platform engineering background - you understand distributed systems, API design, cloud architecture, and the operational realities of running production AI systems at scale
• AI engineering fluency - you know how LLMs work, how to build reliable systems on top of them, and what "agen

Benefits

Additional Information

Banking is being reimagined-and customers expect every interaction to be easy, personal, and instant . We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals . Powered by our proprietary BankGPT platform , this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack , unlocking a $200B opportunity and potentially replacing multiple publicly traded companies . Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem. ABOUT INTERFACE.AI Interface.ai is building the AI infrastructure for financial services - bringing agentic AI and conversational 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 actually matters: democratizing financial wellness for the millions of people who've never had a private banker. Backed by $30M in Series A funding and already cash-flow positive, we're at the inflection point - proven product, paying customers, and a team ready to scale. The next chapter is building the engineering organization that can take us there.

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