ZoomInfo 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 Opportunity

ZoomInfo has rebuilt around AI. We have the orchestration infrastructure, the tools platform, the intelligence layer. Now we need someone to turn that infrastructure into outcomes—someone who lives at the intersection of what's technically possible and what GTM teams actually need.

This role owns the agentic ecosystem: the core agents that power ZoomInfo's products, the Plays library that packages intelligence into deployable workflows, and the marketplace where customers discover, customize, and deploy automation. You'll build agents that book meetings, enrich pipelines, resurrect dead leads, and orchestrate multi-step GTM motions. Then you'll package them into Plays that non-technical users can deploy in clicks, not code.

You're not managing from the sidelines. You're building. You'll work in our Plays builder the way a RevOps leader works in their automation tools—hands-on, iterative, constantly shipping. You'll prototype agents, refine prompts, test orchestration patterns, and validate that what we build actually moves pipeline. When you identify a gap in what our agents can do, you'll partner with the tools and infrastructure teams to close it.

The marketplace you own is how ZoomInfo's agentic capabilities reach the world. Internal teams deploy your Plays across Copilot, GTM Studio, and MarketingOS. Customers browse, customize, and activate automation from your library. Partners and developers connect through MCP gateways you define. Every surface where ZoomInfo's agentic intelligence becomes accessible—you own it.

This is a rare role: part builder, part GTM strategist, part platform owner. You need to understand how SDR teams actually prospect, how marketing ops builds nurture flows, how CS teams identify expansion signals. Then you need to translate that understanding into agents and Plays that work reliably at scale. The infrastructure exists. The data exists. We need someone to turn it into the workflows that transform how GTM teams operate.

What You'll Do

Build Core Agents & Plays Design, build, and iterate on the agents and Plays that ship inside ZoomInfo's products. You'll work at multiple levels of abstraction: building agents from primitives when novel capabilities require it, composing existing agents into complex orchestrations, and packaging everything into Plays that non-technical users can deploy. This isn't spec-writing—you'll build in our Plays environment daily, testing what works and shipping what delivers.

Own the Plays Library Curate and expand ZoomInfo's library of pre-built GTM workflows. Identify high-value use cases through customer research, competitive analysis, and GTM intuition. Prioritize which Plays to build, define their logic and orchestration, validate they deliver measurable outcomes, and iterate based on adoption and performance data. The library is the product—its breadth, quality, and relevance determine whether customers see ZoomInfo as a data vendor or an automation platform.

Define the Marketplace Experience Own the customer-facing marketplace where users discover, evaluate, and deploy agentic workflows. Define the information architecture, discovery mechanisms, and activation flows that help users find the right Play for their use case. Balance curation with abundance—enough options to address diverse needs, enough guidance to prevent paralysis. Measure success through activation rates, time-to-value, and Play retention.

Translate GTM Expertise into Agentic Design The best agents encode deep understanding of the workflows they automate. Bring GTM operational expertise to agent design: How do top SDRs actually research accounts? What signals trigger effective outreach timing? How do marketing ops teams think about lead routing? Translate this knowledge into agent behaviors, Play logic, and orchestration patterns that feel like they were built by someone who's lived in RevOps.

Close the Loop with Platform Teams You're the voice of "what agents need to do" speaking to the teams building "what agents can do." When you discover that a critical GTM workflow requires a capability that doesn't exist, partner with the tools and infrastructure teams to prioritize it. When platform improvements unlock new possibilities, translate them into Plays that demonstrate value. You're the bridge between infrastructure leverage and customer outcomes.

What You'll Bring

• 6-15 years product management experience with 2+ years focused on GTM technology, workflow automation, or AI-powered products
• Direct experience building agentic workflows—you've shipped automation using tools like Relevance.ai, Lindy.ai, n8n, or similar no-code/low-code agent builders
• Hands-on familiarity with AI-assisted development (Claude Code, Cursor, or similar)—you prototype and build, not just specify
• Deep understanding of GTM operations: how sales, marketing, and success teams actually work, the tools they use, the metrics they track, the workflows they build
• Experience with complex workflow orchestration—multi-step, multi-system automation with branching logic, error handling, and human-in-the-loop patterns
• Track record shipping products where you personally built significant portions of the experience, not just managed engineers building it

Who You Are

Builder First You don't just write requirements—you build. You're comfortable in no-code workflow builders, and you reach for Claude Code or Cursor when you need to go deeper. You prototype to learn, ship to validate, and iterate based on what you discover. Your PRDs include artifacts you've built, not just wireframes someone else will implement.

GTM Operations Native You've lived in the world your users inhabit. You've built sequences in Outreach or Salesloft. You've configured lead routing in Salesforce or HubSpot. You've debugged why a Marketo program isn't firing. You understand the gap between how GTM workflows should work and how they actually work—the edge cases, the data quality issues, the human workarounds. This knowledge shapes every agent you design.

Agentic Workflow Intuition You understand what makes agents succeed or fail. You know how to write tool descriptions that guide reliable invocation. You've debugged orchestration flows where agents took unexpected paths. You think about failure modes, human oversight, and graceful degradation. You can look at a complex workflow and identify where it will break—then design around it.

Marketplace Product Sense You've thought about discovery, curation, and activation at scale. You understand that a library of 500 Plays is worthless if users can't find the right one. You think about information architecture, progressive disclosure, and the journey from "browsing" to "deployed and delivering value." You balance flexibility with guidance.

Customer Empathy with Technical Depth You can sit with a VP of Sales and understand their pipeline challenges, then translate that into agent specifications an ML engineer can build. You move fluidly between "we need to accelerate deal velocity" and "the agent needs to invoke the CRM lookup tool before the enrichment tool to avoid redundant API calls." You don't choose between business context and technical precision—you hold both.

Intellectual Curiosity The agentic landscape evolves weekly. You follow what's shipping—new agent frameworks, orchestration patterns, MCP developments, prompt engineering techniques. You try new tools not because it's your job but because you're genuinely curious about what's possible. You bring external learnings back to the team and challenge assumptions when better approaches emerge.

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ZoomInfo 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 Opportunity

ZoomInfo 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, MarketingOS, 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, LangChain 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 ZoomInfo'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 ZoomInfo'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.

What You'll Do

Own the Agentic Tools Platform Define, build, and evolve the tool ecosystem that powers ZoomInfo'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 Strategy ZoomInfo'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 Excellence Tools 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 Development Multiple 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 Frontier The 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 ZoomInfo while contributing learnings back to the community.

Orchestrate Cross-Functional Execution Translate between worlds: ML engineers optimizing agent reasoning, platform engineers building scalable execution infrastructure, and product teams shipping customer-facing automation. Establish prioritization frameworks that balance "keep the lights on" reliability work against strategic capability expansion. Influence without authority through data, clear reasoning, and earned technical credibility.

What You'll Bring

• 6-15 years of product management experience with 2+ years focused on AI/ML infrastructure, developer platforms, or integration products
• Direct experience with production agentic systems—you've shipped products where LLMs invoke tools, not just generate text
• Hands-on familiarity with agentic frameworks (LangChain, LangGraph, CrewAI, or similar) and emerging standards (MCP, function calling patterns)
• Track record building platform products where engineering teams are your customers
• Experience with integration architecture—APIs, webhooks, authentication patterns, rate limiting, error handling at scale
• History of defining product direction in fast-moving technical domains where you're often months ahead of established best practices

Who You Are

Applied AI Practitioner You've moved beyond AI hype into practical application. You understand why agents fail—context window limits, hallucinated tool calls, poor error recovery—and you've built systems that work anyway. You can discuss prompt engineering trade-offs, evaluate tool description effectiveness, and debug agent execution traces. Python proficiency lets you prototype, validate assumptions, and speak credibly with engineers.

Context Engineering Intuition Tools are only as good as the context agents have when invoking them. You understand how to design tool interfaces that give agents what they need to succeed—clear descriptions, appropriate parameters, useful error messages. You think about context budgets, information density, and the cognitive load you're placing on the orchestrating model.

Integration Systems Thinker You've built products that connect systems. You understand the unglamorous realities: authentication flows, rate limits, webhook reliability, schema evolution, partial failures. You know that "integrate with Salesforce" is a six-month roadmap item, not a two-week task. You design abstractions that hide complexity without sacrificing capability.

Platform Product Mindset Your customers are other engineers and product teams. You measure success through their velocity—how quickly they can ship new agent capabilities using your platform. You understand platform economics: each team adopting your tools increases their value through shared learnings, amortized maintenance, and network effects. You resist one-off solutions that don't generalize.

Intellectual Velocity You read agent papers, follow framework releases, and prototype new patterns before they're mainstream. You maintain strong opinions weakly held—your architectural assumptions update as evidence accumulates. The agentic landscape moves too fast for static expertise; continuous learning is non-negotiable.

Strategic Communication You translate between technical depth and business impact fluently. You can explain to executives why adopting a new tool standard takes three months but prevents six months of technical debt. You can communicate to engineers why business constraints require shipping "works reliably" before "works optimally." You influence through clarity, not authority.

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