Program Manager
Listed on 2026-06-23
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Software Development
AI Engineer (Applied/Software), Software Architect, Backend Developer
About Invoca
Invoca is the leading AI-powered conversation intelligence platform. We empower marketing, sales, customer experience, and contact center teams to unlock the intent and insights within every customer interaction – driving better customer experiences, increased revenue, and improved operational efficiency. Join our dynamic, fast-growing team, where innovation and collaboration are at the core of our culture.
About the TeamWe are the connective tissue between not only our Product, Design, and Engineering organizations, but the Go To Market teams. Our mission is to eliminate friction, scale execution, and ensure our software development lifecycle (SDLC) is as efficient as it is innovative, from discovery through launch. We are not process enforcers; we build the modern ecosystem where builders do their best work.
As we rapidly adopt next-generation AI tooling, from semantic search agents to no‑code automation platforms and AI‑optimized documentation hubs, our team is leading the charge to redefine what a high‑velocity, AI‑assisted operations org looks like. We partner closely with every department, and collaboration, experimentation, and shared learning are at the core of how we operate.
About the RoleWe are looking for a hybrid Program Manager who lives at the intersection of traditional program delivery, AI operationalization, and Agile coaching. This is a highly collaborative, hands‑on role where you will act as a change agent across our engineering, product, and design org.
One week you might be managing high‑level cross‑functional timelines; the next, you’ll embed directly into a development team to help them smoothly adopt new delivery workflows and tighten their Scrum practices. This role is all about strategic execution and ensuring the product development engine runs smoothly. You’ll drive the tactical rhythm with the GTM teams, and own the related systems, logistics, and execution layer that keeps our company high‑performing.
A massive part of your initial impact will involve leading our migration away from legacy knowledge bases into modern, AI‑optimized documentation hubs. You will architect our documentation so that internal AI agents and LLM orchestration tools can pull flawless context from it, now and in the future.
You’ll also have the opportunity to redesign our product analytics usage in Pendo, and ensure we’re maximizing the tools available to our customers.
You’ll have a broad scope as an individual contributor, and report into the Director of Product & Engineering Operations. This role directly reduces the coordination and context‑transfer overhead that currently falls on PMs and EMs, freeing them to focus on building. If you love cross‑functional collaboration, thrive in ambiguity, and enjoy finding novel solutions to unprecedented operational challenges, you’ll fit right in.
YouWill
- Product Discoverability & Knowledge Architecture:
- Lead Modern Doc Migrations:
Own the end‑to‑end migration and architectural overhaul of our user‑facing documentation from legacy platforms to modern, developer‑friendly optimized documentation hubs. - Engineer Content for AI Agents:
Architect and structure all technical documentation to be optimized for semantic search and Retrieval‑Augmented Generation (RAG), ensuring internal and external AI agents pull flawless, highly accurate context. - Optimize In‑Product Guides:
Redesign our product analytics and in‑product guide implementation from the ground up to deploy impactful, context‑aware, in‑product guides and walkthroughs that maximize immediate value and self‑service help for our users.
- Lead Modern Doc Migrations:
- PM‑Eng Connective Tissue & Agile Delivery:
- Overhaul Internal Knowledge Governance:
Audit, declutter, and structurally organize our sprawling internal Confluence space across Product, Design, and Engineering, establishing strict governance, fresh templates, and self‑updating best practices. - Embed & Elevate Teams:
Drop directly into engineering and product squads as a hands‑on coach to audit and optimize their adherence to agile practices, helping them tighten their SDLC delivery loops. - Maximize Delivery Efficiency:
Champion our product delivery infrastructure,…
- Overhaul Internal Knowledge Governance:
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