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Jobber is a SaaS platform serving small home service businesses (plumbers, painters, landscapers) with tools for quoting, scheduling, invoicing, and payments. The Revenue Technology team owns and operates the go-to-market tech stack powering sales and partnerships.
Reporting to the Senior Manager of Revenue Technology, this manager will lead core RevTech operational processes and support the GTM tech stack. Key responsibilities include:
**RevTech Operations & User Lifecycle Management**: Own end-to-end onboarding, offboarding, and user lifecycle across Jobber's GTM tools (Salesforce, HubSpot, Revenue.io, ChiliPiper, TextExpander, MuleSoft). Provision/deprovision access, assign licenses, configure team memberships and user settings. Maintain accurate records and identify opportunities to improve processes through automation and AI.
**Tool Support, Triage & Issue Resolution**: Monitor RevTech support channels as first point of contact for tool questions, access issues, and operational requests. Diagnose and resolve common issues independently; escalate complex problems with clear context and recommendations. Track recurring issues and recommend process improvements.
**RevTech Intake, Investigation & Minor Builds**: Triage incoming requests by scope, priority, and business impact. Investigate by reviewing records and identifying blockers. Action minor Salesforce and GTM tooling requests independently (field additions, picklist updates, list views, data activation, user configuration). Route complex requests with well-formed context.
**AI, Automation & Process Improvement**: Identify recurring manual processes for streamlining or automation. Partner with RevTech and Sales Operations to design and test AI-enabled workflows for onboarding, intake triage, support resolution, documentation, and reporting. Contribute to prompt development, process logic, and quality checks.
**Larger Project Rollout Support**: Support Sales Operations and RevTech project rollouts by gathering requirements, documenting current-state processes, identifying operational impacts, and preparing teams for change. Consult with stakeholders on execution, handoffs, and support models.
Ideal candidate is highly organized, systems-minded, service-oriented, and excited about using AI and automation to reduce manual work.
