Principal Product Manager – AI Platform
interface.ai · San Francisco ·
- Work mode
- Onsite
- Seniority
- Principal
- Category
- Product
- Experience
- 3+ years
interface.ai · San Francisco ·
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.
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. As the senior IC in a pillar of 3-4PMs, you'll set technical direction, mentor, and raise the quality bar, while partnering with engineering leadership to scale the system to millions of end users at startup speed.
Agent runtime & orchestration: multi-agent orchestration, memory/context management, tool routing, goal planning, and policy-aligned behavior
Platform contracts: APIs, versioning, deprecation, and migration strategy: you define the boundaries and the lifecycle for all consuming teams
Model lifecycle: selection, evaluation, benchmarking, fine-tuning enablement, and prompt optimization. You define when to prompt-tune vs fine-tune vs switch models.
Inference performance & reliability: latency budgets, caching, batching, quantization, multi-region deployments, fallbacks, and safe rollout patterns (canaries, feature flags, rollback)
Safety & compliance: PII detection/masking, prompt/response safety policies, tenant isolation, SOC2/GDPR readiness, audit logs, and encryption: compliance is a product requirement, not an afterthought
Evaluation & quality: offline golden sets, regression testing, hallucination measurement, task success metrics, and production-to-improvement feedback loops
Voice & multimodal: ASR/TTS integration patterns, WER, interruption handling, turn-taking, and latency budgets for real-time conversational intelligence
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.
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. Not because someone told you to, but because you can't imagine working any other way.
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. The specific tools don't matter (Cursor, Copilot, Claude, Replit, custom scripts — all count); what matters is that you've moved beyond prompting into building.
Financial services or regulated industry experience
Voice/ASR/TTS systems and real-time latency-sensitive products
LLM evaluation frameworks, multi-agent orchestration, or RLHF/RLAIF
Knowledge graph or RAG-based retrieval systems
Built a platform team from scratch
Act Like You're the Founder: Own the outcome from start to finish
No Fear. Speak Your Mind: Candor moves us forward
Pursuit of Excellence: Raise the bar, every time
AI-First Mindset: Think automation, intelligence, and scale-first in every solution
Don't Assume. Seek to Understand: Start with questions, not conclusions
Every PM builds with AI daily. Our standard toolkit is Cursor, MCP integrations, and custom AI agents — and we onboard every new hire on these tools in their first week. 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
🍜 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
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.
is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees