VP of Platform Engineering
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Executive
- Experience
- 10+ years
- Listed
- 30 days ago
Skills & highlights for this role
- LLM orchestration
- agentic AI systems
- distributed systems
- cloud architecture
- production AI operations
Also useful
- TypeScript
- Python
- API design
Stated benefits & perks
- Health
- Dental
- Vision
- 401k
- Wellness stipend
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
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.
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.
Equal opportunity and legal notices
interface.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees
From interface.ai's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
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Common questions
Where is the VP of Platform Engineering job at interface.ai located?
This VP of Platform Engineering position at interface.ai is located in San Francisco, CA (On-site). Always check interface.ai's application page for specific state eligibility or relocation policies.
What qualifications are required for VP of Platform Engineering at interface.ai?
For the VP of Platform Engineering role, interface.ai highlights 10+ years of relevant experience; experience with LLM orchestration, agentic AI systems, distributed systems, cloud architecture, production AI operations. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the VP of Platform Engineering position at interface.ai?
This listing links directly to interface.ai's Ashby application page. You can apply directly on interface.ai's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.