Startup Business Development Lead EMEA
About the role
Role Overview
Key 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 Snowflakes 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.
Basic Qualifications
- 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.
Preferred Qualifications
- Experience in the AI-native startup ecosystem as a founder, operator, investor, or partner leader.
- Strong familiarity with enterprise AI application patterns such as RAG, agent orchestration, tool use, evaluation, governance, and model optimization.
- Working knowledge of the Snowflake AI stack, especially Cortex AI, Cortex Agents, Cortex Search, Document AI, Snowpark ML, and AI Data Cloud adoption patterns.
- Experience helping technical startups refine enterprise positioning, GTM motions, and customer adoption strategy.
Reports to
What Success Looks Like in 12 Months
- Built trusted relationships with a high-priority set of AI-native startups, key VC firms, and ecosystem partners. .
- Increased startup adoption of Snowflake AI and expanded the pipeline of AI-native workloads built on Snowflake.
- Established repeatable founder engagement and ecosystem programs that generate measurable startup pipeline and consumption growth.
- Improved internal alignment across Sales, Product, Marketing, AI Partnerships, Ventures, and Solutions Engineering around the startup strategy.
- Brought clear market intelligence and actionable recommendations on where Snowflake should invest to win with AI-native startups.
Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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Skills
Who can apply
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