Senior Revenue Intelligence Operations Manager, Marketing
New
Based in United StatesFull-TimeSenior
SalaryCompetitive compensation package with performance-based bonus structure
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Job Details
- Experience
- 5–10+ years
- Required Skills
- Artificial IntelligenceSalesforceData analyticsSaaS
Requirements
- 5–10+ years of experience in marketing operations, revenue operations, or GTM strategy within SaaS or consulting environments.
- Strong expertise in revenue and pipeline analytics, including ROI modeling, attribution frameworks, CAC/LTV, and funnel performance analysis.
- Proven experience building and scaling forecasting models and translating data into executive-level insights and recommendations.
- Hands-on experience with marketing and CRM ecosystems such as Salesforce, Marketo, and related attribution tools.
- Demonstrated ability to design or implement AI-driven workflows, automation, or decision-support systems in a business context.
- Strong communication and stakeholder management skills, with the ability to influence senior leadership in a matrix organization.
- Advanced analytical capability with strong proficiency in BI/visualization tools and data storytelling for non-technical audiences.
Responsibilities
- Act as a trusted advisor to regional marketing leadership, supporting budget allocation, forecasting, performance analysis, and strategic planning discussions.
- Own marketing performance measurement across AMER, including pipeline contribution, ROI, funnel health, campaign effectiveness, and executive reporting.
- Develop and maintain dashboards, KPI frameworks, and forecasting models to ensure accurate visibility into marketing-sourced revenue impact.
- Lead AI-enabled transformation initiatives by designing and supporting agentic workflows that improve targeting, segmentation, and investment efficiency.
- Drive operational excellence by improving marketing processes, removing friction in workflows, and standardizing best practices across regions.
- Partner closely with Sales Operations, Data, and Marketing teams to ensure attribution accuracy, data integrity, and consistent GTM definitions.
- Lead annual planning cycles, including pipeline target setting, scenario modeling, and alignment of marketing investment to revenue outcomes.
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