Principal Product Manager, Agentic Tools & Orchestration
Listed on 2026-04-17
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Software Development
AI Engineer
Zoom Info is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen—fast.
The OpportunityZoom Info isn't adding AI to our products—we've rebuilt around it. Our multi‑agent orchestration platform powers intelligent automation across every product surface:
Copilot, GTM Studio, Marketing
OS, and beyond. Now we need someone to own the capability layer that determines what our agents can actually do. This role owns the agentic tools ecosystem—the MCP servers, Lang Chain integrations, and composable building blocks that give our agents their superpowers. Every new capability our agents gain flows through your platform. Every integration that connects Zoom Info's intelligence to the broader ecosystem ships through your roadmap.
When our agents book meetings, enrich records, trigger sequences, or orchestrate complex GTM workflows, they're executing tools you've defined, optimized, and deployed. The agentic tools landscape evolves weekly. New standards emerge. New integration patterns prove themselves. New orchestration primitives unlock capabilities that seemed impossible months ago. You'll operate at this frontier—evaluating what’s production‑ready versus what’s research curiosity, and making the calls that shape how Zoom Info’s agents interact with the world.
This is infrastructure work with exponential leverage. Build one tool well, and every agent across every product benefits. Define one integration pattern correctly, and it becomes the template for dozens that follow. Your architectural decisions don't just ship features—they compound.
Define, build, and evolve the tool ecosystem that powers Zoom Info's multi‑agent orchestration system. You'll own the registry of capabilities agents can invoke, the standards for how tools are built, and the governance for how they're deployed. Balance the tension between enabling rapid tool development and maintaining the reliability that production agents demand.
Architect Integration StrategyZoom Info's agents don't operate in isolation—they connect to CRMs, marketing automation platforms, communication tools, and data providers. Own the integration roadmap that expands agent capabilities through MCP servers, API connections, and partner ecosystems. Determine which integrations unlock disproportionate value, negotiate technical partnerships, and define the abstraction layers that make integrations composable rather than brittle.
Drive Agentic Execution ExcellenceTools are only valuable if agents use them effectively. Partner with ML engineers on tool selection optimization, prompt engineering for reliable tool invocation, and error handling patterns that make agents resilient. Own the feedback loops that surface tool failures, identify capability gaps, and translate production signals into platform improvements.
Enable Internal Tool DevelopmentMultiple product teams need to extend agent capabilities for their specific domains. Build the developer experience—documentation, templates, testing frameworks, deployment pipelines—that lets teams ship new tools without deep platform expertise. Measure success through tool development velocity: how quickly can a new capability go from idea to production agent invocation?
Navigate the Agentic FrontierThe standards are still being written. MCP evolves. New orchestration patterns emerge from research. Tool‑use benchmarks reveal new optimization opportunities. You'll continuously evaluate innovations—function calling improvements, multi‑tool planning, tool composition patterns—determining which advances warrant immediate adoption versus patient observation. Bring external best practices to Zoom Info while contributing learnings back to the community.
Orchestrate Cross‑Functional ExecutionTranslate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure,…
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