Senior Product Manager - Vector Database

Posted 19 Days Ago
Be an Early Applicant
San Mateo, CA
Mid level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
We're shattering barriers that prevent organizations from unleashing the true value of their data.
The Role
As a Product Manager at Snowflake, you will lead the strategy and execution of AI/ML features, focusing on vector data types, conducting market research, collaborating with cross-functional teams, and analyzing product performance.
Summary Generated by Built In

Build the future of data. Join the Snowflake team.

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 Snowflake Cortex 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

OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:

  • 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.

WHY JOIN OUR AI TEAM AT SNOWFLAKE?

Joining our AI Product team at Snowflake means being part of a dynamic, innovative and a fast-paced environment where your work directly contributes to the advancement of AI technologies in the cloud data space. You'll have the opportunity to work with some of the brightest minds in the industry, access cutting-edge technologies, and shape products that redefine how businesses leverage data. At Snowflake, we foster a culture of learning, collaboration, and growth, where your ideas and contributions are valued and supported. If you are passionate about driving the future of AI and enjoy tackling challenging problems, our team is the perfect place for you to thrive and make a significant impact.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Top Skills

Python
SQL
The Company
HQ: Bozeman, MT
7,630 Employees
Hybrid Workplace
Year Founded: 2012

What We Do

Snowflake makes enterprise AI easy, efficient and trusted. Thousands of companies around the globe, including hundreds of the world’s largest, use Snowflake’s AI Data Cloud to share data, build applications, and power their business with AI. The era of enterprise AI is here. Learn more at snowflake.com.

Why Work With Us

We’re at the forefront of the AI data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

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