VP, Global Head of Engineering at Interface AI

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Aug, 26

Salary

0.0

Posted On

26 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Engineering Leadership, System Design, Platform Engineering, AI Engineering, Distributed Systems, API Design, Cloud Architecture, TypeScript, Python, LLM Orchestration, Recruiting, Organizational Design, Product Intuition, Incident Response, Observability, Technical Strategy

Industry

Software Development

Description

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. 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. WHAT YOU'LL OWN 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 WHAT WE'RE LOOKING FOR 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 "agentic AI" means at the infrastructure level, not just the product level Experience with TypeScript, Python, or both at a production scale; comfort across the backend/frontend divide Exceptional people leadership — engineers want to work for you, not just with you; you develop talent, resolve conflict cleanly, and make hard calls without drama Strong product intuition — you understand why decisions get made, not just what was decided; you can push back on the roadmap and propose better paths without losing the relationship BS/BA in Computer Science required; MS or PhD in CS, AI, or related field is a strong plus San Francisco-based; committed to 5 days/week in the office — this is a culture and collaboration role as much as a technical one BONUS POINTS Domain experience in conversational AI, voice AI, or agentic systems at production scale Background in fintech, banking, or regulated financial services Experience as a VP or Director of Engineering at a company that went from Series A to Series C+ Track record of building globally distributed engineering teams (US + international) Published writing, conference talks, or open-source contributions in AI systems, platform engineering, or engineering leadership WHAT THIS ROLE IS — AND ISN'T This is not a title for someone who wants to run a staff meeting and attend a leadership offsite. You will be the person who makes engineering real at interface.ai — the one who decides how we hire, how we ship, how we recover from incidents, and how we grow engineers into leaders. You'll have a seat at every table that matters. It's also not a role for someone who needs a mature org to manage. We're 30 people building something hard in a space that's moving faster than most companies can track. If that sounds like a burden, this isn't the right fit. If it sounds like exactly the kind of leverage point you've been looking for, we want to talk. WHY INTERFACE.AI Series A · $30M raised · Cash-flow positive — we're not burning cash hoping the product works. It works. Customers are live, revenue is real, and the mission — bringing intelligent financial services to everyday Americans — is one you can explain to your family without a slide deck. You'll work directly with Bruce Kim (Co-Founder) and Srinivas Njay (CEO) — founders who understand engineering deeply and give their VP the authority and trust to actually run the global function. We offer top-of-market base, significant early-stage equity, comprehensive benefits, and a modern SF office that's worth showing up to. The team we're building is small enough that your judgment shapes everything. The market we're in is large enough that what you build will matter for a long time. At Interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

Responsibilities

Lead the global engineering organization by scaling the team from 10 to 50+ engineers and defining the technical vision for the BankGPT platform. Own the end-to-end engineering function, including architecture, velocity, quality, and the integration of agentic AI infrastructure.