Sr Product Manager, Pipeline Generation Systems

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 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.
• Marketing Attribution & Campaign Intelligence: Partner with Marketing and RevOps leaders to improve how campaigns and demand programs are measured, while 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 AI-enabled pipeline generation portfolio, including enrichment, hierarchy management, prioritization, orchestration, and personalization platforms.
• Cross-Functional Stakeholder Partnership: Build strong relationships across Marketing, Sales Development, Revenue, Marketing and Revenue Operations teams, and technical teams.
• Operational Excellence, Experimentation & Measurement: Define KPIs, success criteria, and experiment frameworks for pipeline generation systems.
• Responsible AI Adoption in GTM Systems: Help adopt AI in practical, governed ways by balancing innovation with data quality, usability, operational readiness, and change management.

Requirements

• 5+ years of product management experience in a B2B SaaS environment, ideally with ownership of internal systems, GTM systems, or revenue technology portfolios.
• AI-forward product mindset: Ability to spot where AI can create real business value and shape practical use cases.
• Pipeline Generation / GTM Systems domain knowledge: Understanding of demand generation, SDR workflows, lead management, attribution, enrichment, and account-based motions.
• Salesforce ecosystem fluency: Deep functional understanding of Salesforce and how it supports lead, contact, account, opportunity, campaign, and routing workflows.
• Systems thinking and data quality orientation.
• Stakeholder facilitation and influence.
• Analytical and experimental mindset.
• Technical collaboration.
• Builder mentality.
• Communication & influence.

Preferred Qualifications

• Experience with Salesforce Sales Cloud, Marketo and adjacent GTM tooling.
• 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 GTM, operations, or enterprise systems.
• Comfort operating in a high-growth, remote-first B2B SaaS environment.

Compensation

Salary Range: $105,000 - $160,000 (dependent on geographic location, job-related knowledge, skills, and experience). Generous benefits package including health, dental, vision, short-term disability, life insurance, paid holidays, PTO, fertility treatment benefit, 401(k), equity, and discretionary bonus.