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Jobber is seeking a Principal Revenue Operations Manager to lead mission-critical revenue operations initiatives and drive GTM innovation. This role sits at the intersection of go-to-market strategy, advanced tooling, and growth engineering, with a focus on top-of-funnel optimization and AI/automation deployment.
You will lead strategic initiatives that shape GTM structure, sales execution, segmentation, and organizational scaling. Key responsibilities include identifying high-impact initiatives that materially improve top-of-funnel performance, piloting solutions, and scaling across teams. You'll partner with GTM leadership on pipeline coverage, channel strategy, capacity planning, and forecasting while serving as a senior mentor within RevOps, championing innovation and experimentation.
On the innovation side, you'll architect, test, and scale top-of-funnel and outbound lead generation experiments using modern AI/automation tools (ChatGPT, Clay, Supabase, n8n). You'll embed experimentation into the sales development lifecycle through A/B testing, ICP refinement, and demand capture tactics. Regular customer engagement will validate hypotheses and optimize conversion systems.
Technically, you'll own components of the GTM systems strategy including marketing automation, outbound enablement, enrichment, and reporting. You'll lead the technical transformation of the revenue tech stack through API integration, low-code automation, and AI augmentation. You'll translate GTM needs into system changes from design through implementation and enablement, and own production outbound and lifecycle automation including n8n workflows and scoring pipelines.
Required expertise includes deep Revenue Operations or GTM craft operations knowledge, strong background in lead generation or customer-facing sales roles (SDR, AE, Growth Hacker), and comprehensive B2B SaaS GTM strategy understanding. You need practical experience with Clay and n8n, awareness of cold campaign compliance, expert proficiency in Salesforce and HubSpot, strong webhooks/APIs/automation knowledge, experience deploying AI tools across GTM workflows, and data visualization skills (Tableau). SQL database language expertise and excellent communication with bias toward action and systems thinking are essential.
Bonus qualifications include Python or JavaScript experience, familiarity with tools like REGAL, Retell, CrewAI, or Vapi, prior ownership of experimental initiatives with defined metrics, and experience carrying lead or revenue quota.