Sr Product Manager, Pipeline Generation Systems

Cribl · Enterprise · UT · IT & Security

This role is for a Sr. Product Manager focused on Cribl's Pipeline Generation Systems. The core of the role is to find and scale practical ways AI can increase pipeline across Marketing and Sales. This involves defining product vision and roadmap for AI in lead capture, prioritization, routing, attribution, personalization, and orchestration. The role requires partnering with business stakeholders to translate business pain points into product requirements and scalable delivery plans, evaluating vendor and internal capabilities, and ensuring responsible AI adoption.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 5+ years of product management experience
  • Proven track record in product management within a B2B SaaS environment
  • Meaningful ownership of internal systems, GTM systems, or revenue technology portfolios
  • Demonstrated ability to spot where AI can create real business value
  • Shape practical use cases
  • Distinguish between meaningful innovation and hype
  • Strong understanding of demand generation, SDR workflows, lead management, attribution, enrichment, and account-based motions in a modern SaaS company
  • Deep functional understanding of Salesforce and how it supports lead, contact, account, opportunity, campaign, and routing workflows across the GTM lifecycle
  • Systems thinking and data quality orientation
  • Demonstrated ability to align and influence stakeholders across business and technical teams
  • Facilitate productive decision-making
  • Move cross-functional initiatives forward when priorities conflict

What the JD emphasized

  • AI innovation role
  • AI can increase pipeline
  • AI-assisted account scoring
  • AI-enabled pipeline generation portfolio
  • Responsible AI Adoption

Other signals

  • AI innovation role
  • AI can increase pipeline
  • AI-assisted account scoring
  • AI-enabled pipeline generation portfolio
  • Responsible AI Adoption