AI Livestream Specialist (Middle East)

This entry-level AI Product Specialist role drives AI adoption across the company, leading rollout of new AI tools and workflows, designing training sessions, and building documentation and playbooks. The specialist will support product and engineering teams in identifying AI opportunities and pilot new AI-assisted tools. Requires 0-2 years of experience, comfort with AI tools, and strong communication skills, with Python as a plus.

Leads Snowflake's marketing strategy for Global Capability Centers (GCCs), enterprise customers, and strategic partners across India. Owns the end-to-end GCC marketing agenda including enterprise marketing, ABM, partner marketing, executive engagement, and field GTM, while leading a team of Enterprise Marketing Managers and building differentiated narratives around data modernization and AI adoption.

This Director-level role drives the overarching creative strategy, copy development, scripts, and voice for the Snowflake brand. The position requires a world-class conceptual thinker who can generate big, moment-making ideas and translate them into strategic brand narratives, working alongside brand content writers and design teams.

This role leads the strategy, development, and evolution of Firework's livestream commerce products, requiring deep commerce product experience. The product manager will drive the roadmap for AI-powered video commerce solutions, focusing on enhancing customer engagement and conversion for enterprise brands and retailers.

This role manages strategic customer success relationships for existing enterprise clients using Firework's commerce solutions in North America. The manager is client-focused and data-driven, establishing and maintaining growth-oriented partnerships with a diverse portfolio of clients.

This green-field role involves designing and building the go-to-market engine from scratch, including enrichment, sourcing, scoring, and routing systems for lead generation. The engineer will own lead generation end-to-end, work closely with Sales, and leverage AI tools to accelerate pipeline development.