Senior Product Manager

Role Overview

Join Cribl as a Senior Product Manager (Opportunity-to-Order / O2O Systems). You will shape the roadmap for the systems, workflows, and data that govern deal structuring, quoting, approvals, renewals, and ARR tracking—connecting sales execution, commercial design, and operational scale. The role is AI-forward, using AI and automation to improve predictability, speed, and confidence across the business.

Key Missions

• Define the product vision for how Salesforce, DealHub, Ironclad, Clari, and adjacent tools (including AI) work together for deal design, quoting, approvals, contract workflows, and renewals.
• Evolve DealHub and CPQ patterns so that complex deal structures, ramps, and subscription changes remain simple for users to configure, price, and approve as Cribl’s product and commercial models grow.
• Strengthen data models, validation patterns, and integrations to ensure ARR reporting, forecasting, and AI use cases rely on reliable, well-defined revenue data rather than fragile one-off logic.

Responsibilities & Collaboration

• Partner with stakeholders across the business to align product initiatives with broader company goals.
• Collaborate with engineering systems teams to translate business requirements into product direction, surface tradeoffs, and write clear acceptance criteria.
• Use data and metrics to measure product impact and guide investment decisions.

Requirements

• 5+ years of progressive B2B SaaS product management, with direct ownership of revenue, CPQ, or opportunity-to-order systems.
• Strong O2O domain knowledge: opportunity stages, quoting/approvals, discounting patterns, renewals, and ARR/revenue modeling.
• Proven ability to build cross-stakeholder partnerships despite differing priorities.
• AI-forward mindset: experience defining and shipping AI use cases in real internal business workflows (not just prototypes).
• Strong technical collaboration skills: translate business requirements, manage implementation tradeoffs, and produce clear acceptance criteria.
• Comfort with systems thinking and data quality, including how integrated field definitions and ARR logic affect operations and AI/analytics reliability.

Nice-to-Haves / Additional Signals

• Hands-on experience with modern CPQ such as DealHub and/or Salesforce CPQ in a Salesforce Sales Cloud environment.
• Experience with Salesforce-centric integrations supporting opportunity, quote, renewal flows and reporting.
• Familiarity with Ironclad and CLM patterns connecting contracts back to Salesforce opportunities/quotes.
• Exposure to ITGC (IT General Controls) requirements and how O2O patterns intersect with them.
• Experience building/scaling agentic workflows or AI-assisted automations for revenue, sales, or legal teams.
• Familiarity with Clari and AI use cases in internal systems.

Location / Work Style

• Full remote; comfortable working in a remote-first, high-growth environment.

Culture

• Emphasis on communication, practicality of AI, and collaboration (plus a sense of humor).