В Snowflake это стажировка с понятными задачами, реальной ответственностью и работой в быстроразвивающейся сфере AI; главный барьер - требование учиться в магистратуре или эквивалентной программе.
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Только для магистрантовПонятные задачиПередний край AIРабота над запусками
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Agentic Analytics Intern (AI): Developing go-to-market strategy, positioning, messaging, competitive research, and launch materials for Snowflake's agentic analytics portfolio with an accent on translating complex technical capabilities into clear business value. Focus on analyzing data and markets, comparing technical capabilities across data products, and presenting recommendations to senior leaders.
Location: On-site in Menlo Park, California, United States
Salary: $40–$47 per hour
Company
Snowflake provides data and AI products, including Cortex Agents, Cortex Analyst, semantic views, and interactive warehouses.
What you will do
Help develop go-to-market strategy and positioning for the agentic analytics portfolio.
Translate complex technical capabilities into clear business-value messaging.
Conduct competitive research and market analysis to inform product and sales strategy.
Build sales-enablement assets, content briefs, and launch materials.
Collaborate with Product, Engineering, Sales, Developer Relations, and Demand Gen.
Present work to senior leaders.
Requirements
Currently pursuing a Master's degree or equivalent graduate degree.
Analytical and curious, with an interest in data, competitive landscapes, and customer problems.
Strategic thinking, with the ability to assess market dynamics and create concise messaging.
Familiarity with databases, semantic layers, cloud platforms, or developer ecosystems.
Comfort working with ambiguity and rapidly changing priorities.
Nice to have
Experience in product marketing, product management, consulting, or technical roles.
Coursework or experience in product strategy, go-to-market strategy, or data analytics.
Excellent writing skills and the ability to distill complex ideas into compelling narratives.
Technical fluency with BI tools and hands-on experience exploring data products and comparing technical capabilities.
Culture & Benefits
Real ownership of live go-to-market initiatives.
Exposure to the full go-to-market organization, including product, sales, engineering, developer relations, content, and demand generation.
Practical experience with agentic analytics and enterprise AI.
Work in a fast-moving, experimental environment focused on challenging conventional thinking and accelerating innovation.
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