Lead Product Manager, Platform (Orchestration & AI)

Demandbase is the only pipeline AI platform that empowers GTM teams to automate growth at scale. With a unified view of data, insights, actions, and outcomes, B2B enterprises can seamlessly align and execute their account-based GTM strategies with confidence.

About the role

With the rise of LLMs and the prevalence of ML-models to find patterns in customer data, we’re noticing the B2B SaaS space move from generating meaningful insights to executing meaningful actions against those insights. At Demandbase, we believe our Orchestration Engine—the system that allows B2B teams to automate their Go-To-Market strategy at scale—is core to our value proposition.

As the Lead Product Manager for Orchestration, you will be the primary architect of this "Action Layer." You will lead a high-impact team focused on building the logic, triggers, and workflows that connect our rich account intelligence to real-world execution. Your challenge is twofold: maintaining a world-class, high-scale orchestration platform while strategically infusing Demandbase AI to move toward more intelligent, agentic use cases.

Responsibilities

• Drive the Orchestration Roadmap: Own the end-to-end lifecycle of our workflow builder, trigger logic, and action framework. Ensure our orchestration engine is the most flexible, reliable, and user-friendly tool in the B2B market.
• Deepen the Integration Fabric: Drive the strategy for how our engine interacts with the broader tech stack (Salesforce, Marketo, Slack, etc.). Ensure complex, multi-step "Plays" execute seamlessly across distributed third-party ecosystems.
• Pragmatic AI Integration: Identify specific orchestration friction points—such as manual segment building or rigid workflow rules—and solve them using Demandbase AI, prioritizing reliability and "human-in-the-loop" controls over hype.
• Bridge to Agentic Use Cases: Define how our orchestration logic can support emerging Model Context Protocol (MCP) standards, allowing AI agents to "understand" and "trigger" existing workflows safely.
• Scale & Performance: Partner with Principal Engineering to ensure the orchestration layer can handle massive event volumes (billions of signals) with the low latency required for real-time sales and marketing alerts.

Requirements

• 7+ Years in Product Management: With at least 3-4 years specifically focused on Orchestration, Workflow Automation, or Integration Platforms (e.g., experience with Zapier, Tray.io, Marketo, or CRM automation).
• Logical Architect Mindset: Deep love for "If-This-Then-That" logic, Boolean filters, and complex state machines. Understanding of race conditions, retries, and error handling in automated systems.
• Technical Fluency: Comfortable discussing API design, webhooks, and distributed event processing with Principal Engineers. Understanding of how data flows through a modern enterprise stack.
• Applied AI Knowledge: Understanding of LLMs and Agentic frameworks, with a focus on reliability and "human-in-the-loop" controls.
• B2B Domain Authority: Understanding of how Sales Ops or Marketing Ops leaders think, prioritizing transparency and predictability in automation.

Key Success Metrics

• Orchestration Depth: Increasing the complexity and volume of automated "Plays" running across our customer base.
• Platform Extensibility: Reducing the effort required to add new third-party actions to the orchestration library.
• AI-Assisted Efficiency: Measuring time-savings for users by using AI to suggest, build, or optimize orchestration logic.

Why This Role?

This is the ultimate role for an autonomous, high-agency Product Manager who loves systems thinking and is equally comfortable with strategic vision and tactical details. You aren’t just building a feature; you are building the "Central Nervous System" of the GTM stack. You will have the unique opportunity to take a proven, market-leading orchestration engine and guide its transition into the AI-powered future.