Sr Product Manager, Opportunity-to-Order Systems
New
C
CriblSaaS
Remote - United StatesFull-TimeSenior
Salary105000 - 164000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Artificial IntelligenceSalesforce
Requirements
- 5+ years of progressive product management in B2B SaaS
- Direct ownership of revenue, CPQ, or opportunity-to-order systems
- Hands-on experience with modern CPQ (DealHub, Salesforce CPQ, or similar)
- Experience in a Salesforce Sales Cloud environment
- Demonstrated history of defining and shipping AI use cases in internal business workflows
- Strong understanding of opportunity stages, quoting and approvals, discounting patterns, renewals, and ARR or revenue modeling in a modern SaaS business
- Comfort reasoning about how data flows through integrated systems, including how field definitions, ARR logic, and integration design affect operations and reliability of inputs to AI and analytics
- Proven ability to build strong relationships across a wide set of stakeholders with differing priorities and vocabulary
- Experience using data and metrics to assess product impact, define success, and make the case for continued investment or course correction
- Able to work effectively with engineering systems teams, translating business requirements into product direction, surfacing implementation tradeoffs, and writing clear acceptance criteria
- Exceptional written and verbal communication skills
- Experience with DealHub or another modern CPQ solution in a Salesforce-centric environment (Preferred)
- Experience with Salesforce-centric integrations supporting opportunity, quote, and renewal flows and their reporting needs (Preferred)
- Familiarity with Ironclad and CLM patterns that connect contracts back to Salesforce opportunities and quotes (Preferred)
- Exposure to IT general controls (ITGC) requirements and how O2O patterns intersect with those needs (Preferred)
- Experience building or scaling agentic workflows or AI-assisted automations for revenue, sales, or legal teams (Preferred)
Responsibilities
- Shape a portfolio that makes Cribl's revenue lifecycle more predictable, scalable, and insight-driven.
- Establish a clear product vision for how Salesforce, DealHub, Ironclad, Clari, and adjacent tools, including AI, work together to support deal design, quoting, approvals, contract workflows, and renewals.
- Guide how DealHub and related CPQ patterns evolve so that complex deal structures, ramps, and subscription changes remain simple for users to configure, price, and approve as Cribl's product mix and commercial models expand, while keeping the experience ready for AI-assisted selling and approvals.
- Strengthen the underlying data models, validation patterns, and integrations across systems so that ARR reporting, forecasting, and AI use cases rest on reliable, well-defined revenue data rather than fragile one-off logic.
- Influence how Ironclad and Salesforce work together so that contracts, questionnaires, and security artifacts are easy to generate, review, and connect back to the quotes and opportunities they support, structured in ways that unlock AI-assisted review and insight.
- Bring durable structure to a complex program landscape so that stakeholders have a clearer view of how pieces fit together, what is changing, and how those changes affect planning and execution at a strategic level, not just at a ticket level.
- Create space for well-designed AI experiments with clear hypotheses, guardrails, and success measures, so the business can tell which AI investments are actually improving revenue outcomes and where to scale or pivot.
- Ensure that changes to RLM and CPQ systems are introduced with the right discovery, design, testing, UAT, deployment, and hypercare patterns so improvements are stable in production and sustainable as Cribl's business evolves.
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