VP of Platform Engineering

interface.ai; San Francisco (CA); On-site; USD 350,000 - 500,000; Full time

Benefits offered by this job

Health, dental, vision

401(k) + financial wellness

Daily meals

Commuter benefit

Wellness stipend

Equity (founder-level)

SF office on 21st floor, 44 Montgomery

Parental leave

Mental health benefits

Mission-driven team

Job summary

Interface.ai is building the AI infrastructure for financial services from its San Francisco base, delivering production-grade AI and agentic systems. The role owns the platform-engineering half of the org—the Intelligence domain, Connectivity, Data & Fraud, Assemble, and core infra—and requires a hands-on leader who writes code and guides architecture.

Join Bruce on architecture and scale the platform engineering team.

Qualifications

• 10+ years engineering experience with 4–6 in leadership roles at high-growth startups.
• Deep fluency in AI/inferencing platforms, LLM orchestration and infra.
• Hands-on platform background including distributed systems and API design.

Responsibilities

• Own the platform-engineering half of the org: Intelligence, Connectivity, Data & Fraud, Assemble, and infra quality bar.
• Lead a player-coach role, writing code while shaping architecture with leadership.
• Scale the platform/infra team, drive engineering standards and velocity.

Skills

AI platforms

LLM infrastructure

Distributed systems

TypeScript

Python

Leadership

Education

BS/BA in CS

MS/PhD a plus

Tools

Cloud architecture

Job description

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.

A company with :$30M in contracted ARR 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

You own the platform-engineering half of the org — the AI-native core that everything runs on: the Intelligence domain (agent runtime, knowledge / retrieval, evals, the data flywheel), Connectivity (integrations, channels, computer-use / actions-beyond-APIs), Data & Fraud, Assemble (the agent-authoring platform), and the cross-pillar infrastructure. This is the AI-native specialist seat: the leader must be deep in agents, LLM orchestration, and the infra that makes them reliable at scale, and must build the platform org and its quality bar. A player-coach who is still in the code, partnering Bruce on architecture.

Areas You Could Work On

• Org design & growth for the platform domains — build and scale the platform / AI / infra team and its standards.
• The agentic & conversational AI platform — LLM orchestration, retrieval systems, evals, and integration / computer-use infrastructure.
• Velocity & quality — the tooling, eval gates, and reliability practices every domain depends on.
• AI-native engineering culture — frontier tools as standard; an engineering harness that makes every engineer 10×.
• Eng/ops excellence — incident response, observability, reliability targets; partner Bruce on architecture and Srinivas on product.

What We're Looking For

• 10+ years engineering; 4–6 in leadership at high-growth startups / scale-ups; scaled a platform / infra team through a funding transition.
• Domain commonality (required): AI / agentic systems, LLM / ML infrastructure, or conversational / voice AI at production scale working on the platform.
• Preferred: ex-founder who scaled an AI-native / platform startup (strong preference, not a bar).
• Deep AI engineering fluency — how LLMs work, how to build reliable agentic systems on them, what “agentic AI” means at the infra level.
• Hands-on platform background — distributed systems, API design, cloud architecture, production AI ops. Production-scale TypeScript and/or Python.
• Still technical — reviews PRs, makes architecture calls, holds their own with a Staff / Chief Engineer. BS/BA in CS required; MS/PhD a plus.

Benefits

• 100% paid health, dental & vision care
• 401(k) & financial wellness perks
• Daily meals on us
• Commuter benefit
• Monthly wellness stipend
• Claude Enterprise + frontier AI tools for every employee — build with the best
• Brand-new 21st-floor SF office at 44 Montgomery — floor-to-ceiling views, worth showing up to
• Discretionary PTO + paid parental leave
• Mental health, wellness & family benefits
• A mission-driven team shaping the future of banking

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 is one you can explain to your family without a slide deck.

You work directly with Bruce Kim (CTO / Co-Founder), who sets the technical bar and goes deep on the hardest problems, and Srinivas Njay (CEO), who is hands‑on daily across product and engineering. Founding‑team‑tier equity, top‑of‑market base, comprehensive benefits, and a modern San Francisco office worth showing up to. The team is small enough that your judgment shapes everything, and the market is large enough that what you build will matter for a long time.

interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees

Compensation Range: $350K - $500K