Sr Product Manager, Pipeline Generation Systems

Why You’ll Love This Role

We are seeking a talented and experienced Sr. Product Manager to focus on Cribl’s Pipeline Generation Systems portfolio.

This is a high-impact AI innovation role focused on finding and scaling practical ways AI can increase pipeline across Marketing and Sales. You will partner closely with business stakeholders to shape the roadmap for the systems, workflows, and data foundations behind lead capture, prioritization, routing, attribution, personalization, and orchestration.

Sitting at the intersection of go-to-market strategy, enterprise systems, and AI innovation, you will help turn promising ideas into measurable business outcomes. This role reports to the Sr. Director, Enterprise Applications.

As An Active Member Of Our Team, You Will…

As Sr. Product Manager - Pipeline Generation Systems, you will be the product owner for a portfolio of capabilities that directly influence top-of-funnel effectiveness, data quality, and GTM execution. Your key responsibilities will include:

• AI Innovation Strategy for Pipeline Generation: Define and execute a compelling product vision and roadmap centered on how AI can materially increase pipeline, improve seller focus, and make GTM execution more intelligent across lead capture, prioritization, routing, attribution, and account-based motions.
• AI Use Case Discovery & Facilitation: Partner with Marketing, SDR, Sales, and RevOps stakeholders to identify high-value AI opportunities, facilitate tradeoff discussions, and translate business pain points into practical experiments, product requirements, and scalable delivery plans.
• Account Prioritization, Personalization & Orchestration: Drive roadmap investments that help Cribl identify, rank, and activate against the highest-value accounts through AI-assisted account scoring, richer account context, seller-facing insights, and scalable personalization workflows.
• Lead-to-Account, Routing & Data Quality Foundations: Own the product strategy for the data and workflow patterns that ensure leads and accounts are matched, normalized, enriched, and routed correctly, recognizing that strong AI outcomes depend on trustworthy underlying data and process design.
• Marketing Attribution & Campaign Intelligence: Partner with Marketing and RevOps leaders to improve how Cribl measures the impact of campaigns and demand programs, while also advancing more intelligent ways to connect engagement signals, campaign-member data, and opportunity creation.
• Vendor & Platform Evaluation: Evaluate and operationalize external tools and internal capabilities that expand Cribl’s AI-enabled pipeline generation portfolio, including enrichment, hierarchy management, prioritization, orchestration, and personalization platforms, while ensuring sound governance and architectural fit.
• Cross-Functional Stakeholder Partnership: Build strong relationships across Marketing, Sales Development, Revenue, Marketing and Revenue Operations teams, and technical teams, serving as a facilitator and product leader who can align stakeholders, clarify decisions, and move ambiguous initiatives toward measurable business outcomes.
• Operational Excellence, Experimentation & Measurement: Define the right KPIs, success criteria, and experiment frameworks for pipeline generation systems so Cribl can assess which enhancements are actually increasing pipeline quality, efficiency, and conversion.
• Responsible AI Adoption in GTM Systems: Help Cribl adopt AI in practical, governed ways by bal