Senior Product Marketing Manager (AI/ML)

Location: Based out of Snowflake’s London office; travel up to 25% across the EMEA region.

Company

Snowflake provides a data, applications, and AI/ML platform for data-driven organizations.

What you will do

• Orchestrate EMEA go-to-market execution for AI/ML products in partnership with sales, field marketing, technical sales, account-based marketing, demand generation, partners, and global product marketing.
• Adapt global AI/ML campaigns and messaging into regional narratives aligned with buyer priorities, industry nuances, competitive dynamics, data sovereignty, regulatory considerations, and localization needs.
• Build regional plays for new-user acquisition, account expansion, and product adoption across enterprise and commercial segments.
• Create customer stories, reference narratives, proof points, webinars, events, executive content, and field-ready sales enablement assets.
• Define and track KPIs for pipeline contribution, AI user acquisition, consumption growth, adoption depth, campaign impact, and enablement effectiveness.
• Use product usage signals, consumption data, and field feedback to optimize regional investment and inform global positioning, roadmap input, and competitive analysis.

Requirements

• 7+ years of product marketing experience or equivalent.
• Subject-matter expertise in data analytics, AI/ML/LLMs, data science, or application development.
• Experience defining and owning regional go-to-market strategy for executive, technical, and operational audiences.
• Strong cross-functional leadership skills, with the ability to align Sales, Product, and Marketing without direct authority.
• Strong analytical mindset and ability to interpret market signals, customer data, usage metrics, and field feedback.
• Technical fluency in understanding, demonstrating, and articulating the business value of AI/ML applications.

Nice to have

• Hands-on familiarity with AI assistants, copilots, or agentic-workflow products.
• Experience supporting product-led growth motions and using in-product signals to accelerate time-to-value.

Culture & Benefits

• AI-native, experimental working environment focused on testing emerging capabilities.
• Collaborative culture with low-ego, fast-moving teams and a focus on lasting impact.
• Opportunity to engage technical communities, evangelize AI/ML use cases, and amplify EMEA insights into global strategy.
• Regular travel across the EMEA region is expected, up to 25%.