Six Figure Work

VP of Platform Engineering

interface.ai

Company websiteinterface.ai (interface.ai, opens in new tab)

Base salary $350K  to $500K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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'll 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

Source: interface.ai on Ashby · View original posting (opens in new tab)

This range next to 6 other live interface.ai roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live interface.ai roles with the nearest advertised base floor
RolePublished base
VP of Platform Engineering (this listing)$350K - $500K
VP of Product Engineering$350K - $500K
Chief Engineer (Staff Engineer)$330K - $375K
Chief Engineer (Principal Engineer)$330K - $375K
Head of Legal$307K - $383K
Principal Product Manager - Domain PM$300K - $330K
CFO$300K - $335K

Same $100K to $400K scale as every card. All interface.ai roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-07-08
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 350,000 – 500,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.