• 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.

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. • Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. • Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. • Work with technical staff to improve annotation tools for efficient audio workflows.

• Provide labels and annotations on multilingual audio clips • Support the delivery of high-quality audio data • Collaborate with technical staff to improve speech processing • Improve annotation tools for efficient workflows

• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages. • Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards. • Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing. • Work with technical staff to improve annotation tools for efficient audio workflows.