Snowflake

About Snowflake

The cloud data platform for seamless data sharing

🏢 Tech👥 1001+ employees📅 Founded 2012📍 Menlo Park, CA💰 $1.4b3.9
B2BArtificial IntelligenceData storageEnterpriseAnalyticsMachine LearningSaaSData AnalysisCloud ComputingData Sharing

Key Highlights

  • Public company (NYSE: SNOW) - strong equity potential
  • Over 1,300 partners managing 250PB of data
  • 515 million data workloads processed daily
  • $1.4 billion raised to date

Snowflake (NYSE: SNOW) is a leading cloud data platform headquartered in Menlo Park, CA, designed for data sharing and application development. With over 1,300 partners, Snowflake manages more than 250PB of data and supports over 515 million data workloads daily. The company has raised $1.4 billion ...

🎁 Benefits

Snowflake offers comprehensive health insurance, robust retirement plans, generous PTO, and on-demand mental health programs. Employees also benefit f...

🌟 Culture

Snowflake fosters a culture focused on innovation and collaboration, breaking down data silos with a frictionless cloud platform. The company emphasiz...

Overview

Snowflake is hiring a Staff Product Manager for their AI Migrations team to develop AI-powered tools for cloud migration. You'll work on innovative solutions that transform legacy systems into streamlined processes. This role requires experience in product management and a strong understanding of AI technologies.

Job Description

Who you are

You have a proven track record in product management, particularly in the realm of AI and cloud technologies — your experience includes leading cross-functional teams to deliver impactful products that drive business growth. You possess a deep understanding of data migration challenges and are passionate about leveraging AI to simplify complex processes. Your ability to communicate effectively with both technical and non-technical stakeholders sets you apart, allowing you to bridge gaps and foster collaboration.

You thrive in environments that prioritize innovation and are eager to challenge conventional thinking — your vision for the future of cloud migration is informed by a keen awareness of industry trends and customer needs. You are results-oriented, with a focus on delivering value to customers while ensuring alignment with business objectives. Your analytical mindset enables you to make data-driven decisions that enhance product performance and user satisfaction.

Desirable

Experience with generative AI technologies is a plus, as is familiarity with data engineering and analytics tools. You are comfortable working in a fast-paced environment and are adaptable to changing priorities. A background in software development or engineering can also be beneficial in understanding the technical aspects of product development.

What you'll do

As a Staff Product Manager on the Migrations Team at Snowflake, you will lead the development of AI-powered tools that facilitate the migration of complex legacy systems to the Snowflake Data Cloud. Your role involves defining the product vision and strategy, conducting market research, and gathering customer feedback to inform product development. You will collaborate closely with engineering, design, and marketing teams to ensure successful product launches and ongoing enhancements.

You will be responsible for creating and maintaining the product roadmap, prioritizing features based on customer needs and business goals. Your leadership will guide the team in executing product initiatives, from ideation through to delivery. You will also analyze product performance metrics to identify areas for improvement and drive continuous innovation.

What we offer

At Snowflake, you will be part of a dynamic team that values collaboration and creativity. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will have the chance to work on cutting-edge technology that is reshaping the data landscape and making a significant impact on our customers' success. Join us in our mission to empower enterprises through innovative data solutions.

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