Sr Product Manager, Pipeline Generation Systems

Cribl

2d•Remote

About The Position

Cribl does differently. What does that mean? It means we are a serious company that doesn’t take itself too seriously; and we’re looking for people who love to get stuff done, and laugh a bit along the way. We’re growing rapidly - looking for collaborative, curious, and motivated team members who are passionate about putting customers first. As a remote-first company we believe in empowering our employees to do their best work, wherever they are. As the data engine for IT and Security many of the biggest names in the most demanding industries trust Cribl to solve their most pressing data needs. Ready to do the best work of your career? Join the herd and unlock your opportunity. 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.

Requirements

5+ years of product management experience: Proven track record in product management within a B2B SaaS environment, ideally with meaningful ownership of internal systems, GTM systems, or revenue technology portfolios.
AI-forward product mindset: Demonstrated ability to spot where AI can create real business value, shape practical use cases, and distinguish between meaningful innovation and hype.
Pipeline Generation / GTM Systems domain knowledge: Strong understanding of demand generation, SDR workflows, lead management, attribution, enrichment, and account-based motions in a modern SaaS company.
Salesforce ecosystem fluency: 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: You understand that pipeline generation systems only work when identity, matching, hierarchy, normalization, sync behavior, and routing are designed intentionally and governed well, and that these foundations are critical for effective AI.
Stakeholder facilitation and influence: Demonstrated ability to align and influence stakeholders across business and technical teams, facilitate productive decision-making, and move cross-functional initiatives forward when priorities differ.
Analytical and experimental mindset: Comfortable using metrics, experimentation, and operational data to frame problems, prioritize investments, assess impact, and determine whether AI-driven changes are actually improving pipeline outcomes.
Technical collaboration: Able to work effectively with engineering and systems teams, translating business requirements into product direction, implementation tradeoffs, and clear acceptance criteria.
Builder mentality: Comfortable stepping into ambiguity, shaping the first version of the strategy, and improving it through iteration, feedback, and measurable outcomes.
Communication & influence: Exceptional written and verbal communication skills, with the ability to make complex systems, AI concepts, and tradeoffs understandable to a wide range of audiences.

Nice To Haves

Experience with Salesforce Sales Cloud, Marketo and adjacent GTM tooling used for enrichment, routing, attribution, or orchestration.
Familiarity with tools and workflows supporting ABX, account prioritization, and personalized digital experiences.
Experience building, piloting, or scaling agentic workflows or AI-assisted business process automation in a GTM, operations, or enterprise systems context.
Comfort operating in a high-growth, remote-first B2B SaaS environment.
Curiosity about practical AI and automation opportunities in internal business systems.
Good jokes, or maybe better, bad jokes.
A love for goats.

Responsibilities

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 balancing innovation with data quality, usability, operational readiness, and change management.