Principal Product Manager – AI Platform

interface.ai; San Francisco (CA); On-site; USD 250,000 - 320,000; Full time

Benefits offered by this job

Health coverage

401(k) plan

Paid time off

Parental leave

Mental health benefits

Job summary

Interface.ai is seeking a senior Product Manager who will own the core AI platform that underpins all products. This role is not a support function—it defines the platform strategy, architecture, and governance across multiple product teams.

You will mentor engineers, set direction, and raise the quality bar as the platform scales to millions of end users. You’ll work with leadership to consolidate components, prioritize investments, and sunset legacy parts while maintaining a strong emphasis on

Qualifications

• 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.

Responsibilities

• Own the AI platform that every product at the company depends on; the platform is the competitive moat.
• Inherit a multi-component platform, assess existing components, decide what to consolidate or sunset.
• Set technical direction, mentor engineers, and raise the quality bar while scaling to millions of end users.

Skills

Product management

Platform ownership

Technical fluency

AI/ML platforms

Platform contracts

Enterprise SaaS

AI workflows

Tools

Cursor

MCP integrations

Custom AI agents

Job description

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.

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. 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.

What You'll Own

• 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.

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. Not because someone told you to, but because you can't imagine working any other way.

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. 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.

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/RLAIF
• Knowledge graph or RAG-based retrieval systems
• Built a platform team from scratch

Our Values

• 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

How We Work

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
• 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 — 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