Startup Business Development Lead EMEA

Overview

In this role you will identify and engage AI-native startups, shaping how they build with Snowflake and accelerate AI adoption. You’ll work across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering to grow a pipeline and drive long-term consumption with strategic startup partners. You’ll translate Snowflake’s AI platform into compelling growth opportunities for founders and builders, contributing to a broader mission of redefining how work gets done with AI-native approaches. This is a hands-on, cross-functional role designed for impact in a fast-moving startup ecosystem.

Responsibilities

• Build and grow relationships with high-priority AI-native startups, founders, venture investors, and ecosystem partners
• Develop and execute a startup GTM strategy to accelerate adoption of Snowflake with a heavy emphasis on Snowflake’s AI products
• Serve as a trusted voice on AI-native startup trends, including model usage, data infrastructure, agentic workflows, and enterprise adoption patterns
• Help founders understand how to build and scale AI applications with Snowflake, including Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and related platform capabilities
• Partner with Sales, Solutions Engineering, Product, Marketing, AI Partnerships, and Snowflake Ventures to drive coordinated startup acquisition and expansion motions
• Create repeatable programs, founder engagements, and ecosystem initiatives that increase startup pipeline, product adoption, and workload growth
• Prioritize the startup landscape based on strategic fit, technical relevance, market momentum, and potential for long-term Snowflake consumption
• Track business outcomes, surface market insights, and provide regular recommendations to improve strategy, coverage, and execution

Key requirements

• 8+ years of experience in business development, partnerships, startup programs, venture, GTM, cloud, AI/ML, or related fields
• Experience working with high-growth startups, including founder engagement and cross-functional partnership execution
• Strong understanding of the modern AI stack, including LLM-powered applications, retrieval-augmented generation, agents, model serving, and data infrastructure
• Ability to translate technical platform capabilities into clear business value for founders, builders, and executive stakeholders
• Demonstrated ability to develop partnership strategies, scale programs, and drive measurable business outcomes
• Strong executive communication, relationship-building, and stakeholder management skills
• High comfort operating in ambiguity, moving between strategy and execution, and prioritizing in a fast-changing market
• Data-driven operating style with experience using metrics to evaluate opportunities, influence decisions, and improve execution

• executive communication
• relationship-building
• stakeholder management
• LLM-powered applications
• retrieval-augmented generation
• agents

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