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Senior Marketing Operations Manager to help refine, optimize, and scale how we go to market. The connective tissue between our marketing technology, data, and strategy. Manage our marketing tech stack, own several key vendor relationships, and serve as a strategic and hands-on partner to our Marketing, Sales, and Product teams.
Job Responsibility:
Own Deepgram’s marketing tech stack, including HubSpot, Salesforce, Segment, and related tools
Oversee vendor relationships and evaluate new technologies that improve our go-to-market efficiency
Partner cross-functionally with Sales, Product, Customer Success, and Finance to connect marketing performance with pipeline, revenue, and product usage insights
Advise the Marketing team on campaign planning, process optimization, and operational best practices
Lead initial strategic projects such as: Establishing Account-Based Marketing (ABM) infrastructure and processes
Creating company-wide email governance and deliverability standards
Building improved attribution and performance reporting that ties spend to pipeline
Collaborate with Product, Sales, and RevOps teams to connect product-led growth (PLG) and sales-led growth (SLG) funnel data for unified visibility
Drive continuous improvement by identifying automation opportunities that make marketing more effective and scalable
Requirements:
5+ years of experience in Marketing Operations, Revenue Operations, or other Go-To-Market Operations roles
Hands-on expertise with HubSpot, Salesforce, and campaign automation tools
Proven experience managing both PLG and SLG funnels, including lead scoring, lifecycle tracking, and attribution
Strong analytical mindset with experience building reports and dashboards to measure campaign effectiveness and ROI
Demonstrated ability to work cross-functionally with Marketing, Sales, Customer Success, Product, and Finance stakeholders
Excellent project management skills with a bias for action and operational rigor
Nice to have:
Experience with attribution tools (Dreamdata, HockeyStack, etc)
Experience with AI automation or workflow orchestration platforms (n8n, AirOps, Clay, etc)