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As a Senior Product Manager for the Vector Data Type at Snowflake, you will be at the forefront of building and integrating cutting-edge ML and AI technologies into our cloud data platform. This role involves leading the strategy, development, and execution of that leverages the power of LLMs to transform enterprises. You will work closely with a cross-functional team including engineers, data scientists, marketers, and sales professionals to deliver innovative solutions that meet the evolving needs of our customers.
AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:Define and execute the product roadmap for AI/ML features at Snowflake, with a focus on the applications of the vector data type and associated vector functions in big data
Lead the product strategy for integration of semantic vector capabilities into Snowflake offerings
Own and motivate discovery of opportunities in the AI/ML space for the native vector data type and adjacent operations in Snowflake, including use-cases like financial data analysis, recommendation systems, clustering/classification, and more
Drive the product development, from conception to launch, working with engineering and data science teams to gwith a strong focus on the price-performance of the product
Work with marketing and sales teams to develop go-to-market strategies and support sales enablement for data scientists and ML engineers
Measure and analyze product performance, using data to inform future product decisions and improvements
Work closely with customers to understand their needs and incorporate feedback into product design and features
A degree in Computer Science, Engineering, Mathematics, or a related technical discipline; advanced degree is a plus.
5+ years of experience in product management, ideally with a focus on data science, machine learning / AI, search, or related technologies
A strong self-starter attitude, with experience working independently in fast-paced, ambiguous environments
Familiarity with the applications of vector and matrix operations in scientific computing use-cases, e.g., quantitative research, backtesting, recommendation systems, clustering / classification
A strong understanding of databases, SQL concepts & language, and/or distributed systems
Experience in conducting market research and performing customer discovery, with ability to translate customer into a concise product roadmap
Strong data manipulation and analysis skills, including SQL and Python, to independently drive product analysis
Excellent communication and leadership skills, with the ability to influence cross-functional teams.
The following represents the expected range of compensation for this role:
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