Staff Product Manager- AI Platform

Staff Product Manager, AI PlatformThe Opportunity: Define the Future of Agentic AI in the Enterprise

Invoca is an AI-powered revenue execution platform that brings together marketing, commerce, and contact center teams to turn every customer interaction into measurable, profitable growth. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.

By revealing intent across voice, SMS, and digital channels, Invoca helps enterprises drive better customer experiences, increase revenue, and operate with confidence at scale.

We are a fast-growing company defined by a strong product culture, deep technical ambition, and a commitment to building AI systems that are reliable, transparent, and outcome-driven. Join us to build the core intelligence layer for one of the most innovative enterprise platforms in the market.Build the Foundation for Agentic AI at Scale

Invoca is building a shared AI Platform that powers every AI-driven product and every agentic experience we continue to deliver. This foundational platform is the execution layer behind Voice AI, SMS Agents, Signals, Scoring, and emerging copilots.

This is a rare and critical opportunity to define how agentic AI actually runs in production inside an enterprise SaaS company. You will own the execution layer—from orchestration and context to governance, evaluation, and developer experience. Your work will determine not just what Invoca’s AI can do, but how safely, consistently, and efficiently it does it at scale.The AI Platform Team

The AI Platform team builds the shared systems that empower product teams across Invoca to ship AI-powered experiences with confidence. We operate at the intersection of infrastructure, applied AI, and product design, focusing on:

• Agent execution and orchestration
• Context management and grounding
• Evaluation, observability, and quality control
• Governance, safety, and multi-tenant isolation
• Developer and product experiences that scale across teams

Our success is measured by the leverage we create: how many teams can build on the platform, how safely they can innovate, and how quickly high-quality AI experiences reach customers.Your Role and Impact

As a Staff Product Manager, AI Platform, you will own the product vision and roadmap for Invoca’s agentic AI platform—the foundational layer that runs, governs, and evolves AI agents across channels and products.

This role requires deep technical judgment and a strong systems mindset. You will focus on the architectural and experience boundaries of the platform, not just a single AI feature or agent.

You will operate as a senior individual contributor reporting to the VP of Product, with broad influence across engineering, data, security, and product teams. Success requires strong systems thinking, platform judgment, and the ability to balance cutting-edge innovation with enterprise-grade trust.What You'll Be Doing (Key Responsibilities)

• Drive Strategy: Own the end-to-end product strategy and roadmap for Invoca’s AI Platform, aligning technical foundations with company-level AI principles around reliability, safety, and measurable outcomes.
• Define Execution: Establish how AI agents execute in production, including orchestration patterns, tool invocation semantics, context handling, and behavior across asynchronous and real-time environments.
• Architect Contracts: Establish clear, durable platform contracts—APIs, configuration schemas, versioned artifacts—that make agent behavior portable, governable, and scalable across products and channels.
• Partner for Scale: Collaborate deeply with AI engineering and data teams to translate agentic patterns into reliable systems, making principled tradeoffs across reasoning quality, latency, cost, and operational complexity.
• Enable Adoption: Drive standardization through paved roads, golden paths, SDKs, and shared components that reduce bespoke implementations and accelerate internal adoption.
• Enforce Quality: Define and enforce platform-level quality, safety, and governance mechanisms, including evaluation workflows, promotion gates, observability, Role-Based Access Control (RBAC), and auditability.
• Shape Experience: Shape the developer and product experience for building, testing, debugging, and operating AI a