Principal Product Manager, Platform

interface.ai is the fastest-growing Agentic AI platform for credit unions and community banks. We power millions of intelligent conversations daily across voice, chat, and internal co-pilot interfaces-enabling automation, personalization, and financial wellness at scale.

We’re a venture-backed, product-led startup operating with urgency, precision, and ambition. Our platform is trusted by over 100 institutions-and we’re just getting started.

As Principal Product Manager - Platforms, you will own the vision, roadmap, and execution for the Interface Self-Service Platform and the Core Agentic AI Platform that powers all of our products.

This is a foundational role-your work will impact every customer, every internal team, and every product line.

You’ll be responsible for building and evolving the core AI platforms, tools, and orchestration engines that enable:

• Product configurability and onboarding across institutions
  
• Core agentic behavior: dynamic workflows, goal routing, memory, context switching
  
• Scalable deployment of voice, chat, discovery, transaction, and co-pilot interfaces
  
• Internal tools, admin dashboards, and platform governance
  

This is a deeply technical, high-leverage product role for a platform-minded builder who wants to scale intelligent systems across a high-growth business.

• Set the strategic direction for the Self-Service Platform and Core Agentic AI capabilities.
  
• Align platform evolution with the needs of all vertical product lines (voice, chat, internal co-pilot, analytics).
  

• Design and ship self-serve tooling that empowers institutions to configure their products independently-personas, workflows, UI logic, escalation policies, and integrations.
  
• Reduce time-to-deploy through schema-driven systems and configuration-first UI primitives.
  

• Define how our Agentic AI works across all products-memory, session context, task orchestration, next-best action, and goal state transitions.
  
• Partner with research and engineering to make agentic behavior composable, observable, and tunable.
  

• Own the interface.ai admin portal and internal dashboards used for configuration, audit logs, release management, and platform health.
  
• Ensure our platform is secure, multi-tenant, and provides granular role-based access control across environments.
  

• Make it easy for GTM and implementation teams to launch, iterate, and scale products on the platform with minimal engineering lift.
  
• Own shared platform features like analytics scaffolding, account provisioning, localization, versioning, and usage metering.
  

• Work with PMs across Orbit, Sphere, Nexus, and Analytics to support their product goals through platform capabilities.
  
• Define interfaces, APIs, and modular components that make platform services consumable and extensible.
  

In your first 6-12 months, you will:

• Launch a unified configuration experience used across 100+ institutions.
  
• Drive adoption of the new core platform services across all product lines.
  
• Reduce onboarding and customization timelines through improved platform tooling.
  
• Establish strong interfaces and feedback loops between core platform and vertical product teams.
  

• 5+ years in product management, including experience in platform, AI, or developer product teams.
  
• Prior background in engineering (3-4 years of experience and formal CS degree).
  
• Deep understanding of enterprise SaaS architectures, config-driven systems, and platform abstractions.
  
• Experience owning multi-tenant platforms with internal tools, admin dashboards, or governance workflows.
  
• Comfort working across engineering, design, research, and customer teams-translating deep technical requirements into clear product outcomes.
  
• Skill in using prompt engineering techniques to enhance productivity, drive efficiency, and decision-making with generative AI tools.

• Experience with orchestration engines, AI frameworks, or workflow builders.
  
• Familiarity with developer portals, permission systems, and large-scale internal platforms.
  
• Background in product-led growth models that depend on platform scalability and configurability.
  

• You’re the product owner of the product platform. Every customer experience and product delivery depends on what you build.
  
• You will shape how agentic AI is deployed at scale. This is a first-principles opportunity to define primitives for dynamic, goal-based automation.
  

You will define internal tools, external surfaces, and cross-product standards-serving hundreds of institutions and internal teams.

 Compensation:

• Compensation is expected to be between $180,000 - $210,000. Position has a bonus and Stock component. Exact compensation may vary based on skills and location.

What We Offer:

• 🏥 Medical/Dental/Vision Insurance
• 🏝 PTO & Holidays
• ✨ Life Insurance