Cloudinary - Senior Marketing Technology & AI Manager
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Requirements
• Experience with Infinigrow, Common Room, or other intent/community analytics tools (or comparable platforms). • Engineering experience (SQL, Python, or scripting) or close partnership with data engineering teams. • Experience at a developer/platform company or in media/creative tooling (helps with use cases and GTM alignment). • Salesforce admin/developer certification, Marketo certification, or related vendor certifications. • We have you in mind. As an employee, you will experience many benefits, including: • Awesome technology • Top-talent peers • 100% sponsored medical, dental, and vision plans for employees & family • HSA company contribution • Matching 401k program • Robust vacation & wellness policy • Annual development stipend • Catered lunches or a food stipend • Cloudinary is proud to be an equal-opportunity employer dedicated to pursuing a diverse workforce. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Responsibilities
• This blends traditional Marketing Ops / Platform ownership with the emerging discipline of MarTech + AI orchestration — applying and integrating AI features and agents across targeting, segmentation, campaign creation, audience scoring, personalization, conversational experiences, and data hygiene to increase marketing efficiency and effectiveness. • End-to-end architecture and operational ownership of Cloudinary’s marketing tech stack: Marketo, Salesforce, MTA platform, Common Room, AdRoll, and other point solutions. Ensure the stack is secure, scalable, documented, and instrumented for ROI. • Drive AI orchestration across GTM Pipeline Generation: identify high-impact AI use cases, leverage native and non-native agentic capabilities to add leverage to create and accelerate pipeline creation, and operationalize them into campaign flows (e.g., content generation, lead scoring, intent signals ingestion, predictive funnel nudges). • Build and maintain integrations, data models, and automated flows that reliably convert marketing activity into measurable pipeline and influence. • Partner tightly with Demand Gen, Sales Ops, RevOps, Product Marketing, and Customer Success to align on lead definitions, routing, SLA, and closed-loop measurement. • Own platform governance: release cadence, environment management (dev/staging/prod), documentation, security and compliance considerations, and vendor evaluations.
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