Senior Manager, Revenue Operations

New

Remote work in CanadaFull-TimeManager

SalaryOn-target earnings of CA$152,000–CA$180,000

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Job Details

Experience: At least 7 years of experience in Revenue Operations or Sales Operations
Required Skills: Project ManagementSQLArtificial IntelligenceTableauMicrosoft Excel

Have at least 7 years of experience in Revenue Operations or Sales Operations.
Bring hands-on Salesforce administration experience, including workflows, automation, data architecture, and complex reporting.
Have experience supporting enterprise sales organizations with complex deal structures and integration across quoting, billing, contracting, and order management.
Be familiar with account-based marketing (ABM) lead management and large-scale customer expansion processes.
Have designed and implemented scalable sales processes from the ground up.
Demonstrate strong technical fluency, including advanced Excel capabilities and experience with Tableau and/or SQL for data extraction and analysis.
Have experience leading cross-functional initiatives and managing projects end to end, from requirements and scope through implementation and rollout.
Be able to communicate technical and process changes clearly and support stakeholder adoption in remote, asynchronous work environments.
Have experience applying AI within revenue systems to improve operational efficiency, data accuracy, and analytical capabilities.
Be able to set priorities, develop team capabilities, and translate complex data into actionable recommendations and operational plans.
Experience in a hardware-enabled business is considered a strong asset.

Translate go-to-market objectives into operational priorities, roadmaps, and initiatives.
Design territory models, capacity plans, and headcount strategies, and collaborate on sales compensation and commission structures.
Develop scalable processes across lead qualification, sales execution, contracting, deployment, expansion, and customer retention.
Oversee Salesforce data integrity and structure, and improve system architecture, automation, reporting, and data quality.
Build reports and dashboards covering pipeline health, forecast accuracy, capacity, and operational performance.
Establish data foundations for forecasting, scenario planning, whitespace analysis, and business decisions.
Align Sales, Marketing, Customer Success, Finance, and Operations on processes, data definitions, priorities, and outcomes.
Lead initiatives from requirements gathering and scoping through implementation, enablement, rollout, and adoption.
Set team goals, coach team members, provide feedback, and develop succession plans.

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