Principal Product Manager – AI Platform
About Interface.ai
Interface.ai is redefining how financial institutions serve their members through agentic AI and conversational AI — and we're doing it in production, at scale, with real outcomes. $30M in Series A funding. Cash-flow positive. A mission that matters: democratizing financial wellness for every American, not just the ones who can afford a private banker.
The Opportunity
You will own the AI platform that every product at the company depends on. This is not a support function: the platform is the competitive moat. Your decisions directly determine the ceiling of what every other product team can build. You'll inherit a multi component platform, assess what exists, and define what comes next: what to consolidate, what to invest in, what to sunset.
Pillar Leadership
You set technical direction, mentor, raise the bar, and have input on hiring. You prioritize competing demands from multiple product pillars, define the platform investment thesis, and protect the platform from becoming a feature factory.
Who You Are
- You think in systems, not features. You read a platform outage postmortem and immediately see the product decision that caused it.
- You've built API contracts that entire product orgs depend on, and you've made the hard call to break one when the platform needed to evolve.
- You understand the full AI stack: from model training through inference optimization to production monitoring.
- You can spec a fine-tuning pipeline, set latency budgets for real-time voice, and debate quantization trade-offs with a staff engineer, all in the same week.
- You build your own tools. You use AI to prototype, analyze, and accelerate your work — building agents, writing scripts, creating automated workflows, whatever gets the job done fastest.
- You build with AI daily — creating agents, automating analyses, prototyping with code, building custom workflows.
What You Bring
- 8+ years in product management, with 3+ years at Staff/Principal level on platform, AI/ML, or infrastructure products.
- Owned a multi-component platform serving multiple product teams, not just a single product.
- Deep technical fluency: can read code, review architecture, and debug production issues alongside engineers.
- Experience with AI/ML platforms: LLM orchestration, model evaluation, fine-tuning, RAG, agentic frameworks, or similar.
- Experience governing platform contracts and managing how internal teams consume capabilities.
- Built in enterprise SaaS environments with multi-tenant, compliance, and governance requirements.
- AI-native workflow: You build with AI daily — creating agents, automating analyses, prototyping with code, building custom workflows.
- Bonus Points:
- Financial services or regulated industry experience.
- Voice/ASR/TTS systems and real-time latency-sensitive products.
- LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAI.
- Knowledge graph or RAG-based retrieval systems.
- Built a platform team from scratch.
How We Work
- We hold a high quality bar and move at startup speed.
- Flat organization. No empire-building.
Benefits
- 100% paid health, dental & vision care
- 401(k) & financial wellness perks
- 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.
- Clients 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.
Compensation Range
$250K - $320K