採用
Benefits & Perks
•Remote work flexibility
•Learning and development stipend
•Flexible PTO policy
•Wellness benefits
Required Skills
SQL
Python
TensorFlow
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Snowflake redefined the data landscape over a decade ago by building a Data Cloud with industry-leading performance and price for data at any scale and for multiple workloads: data engineering, data analytics, and AI/ML.
At Snowflake, our biggest opportunity is also our customers' biggest challenge: migration. For every enterprise ready to harness the power of the AI Data Cloud, there lies a complex web of legacy systems that can take years and millions of dollars to untangle. The Migrations team is tasked with a mission of strategic importance: to turn this multi-year roadblock into a streamlined, intelligent, and automated experience. We believe Generative AI is the key.
We are building products that don't just move data, but understand and rewrite the logic of entire data applications. We're seeking a visionary Product Manager to own this charter, define the future of cloud migration, and build the GenAI-powered engine that will onboard the next wave of Snowflake customers. Your work will directly impact Snowflake's growth and change the way an entire industry approaches digital transformation.
Key Responsibilities:
As a Staff Product Manager on the Migrations Team at Snowflake, you will be instrumental in developing AI-powered tools that enable customers and partners to transition their complex data ecosystems from legacy platforms to the Snowflake AI Data Cloud. Your responsibilities will include:
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Deeply Understand Customer Data Migration Needs: Conduct detailed research and analysis to understand customer requirements, pain points, and use cases specifically related to migrating diverse data types, ensuring data integrity, performance, and completeness during and after migration. This includes understanding challenges like post-migration validation.
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Contribute to Product Strategy & Roadmap: Contribute to the strategy and roadmap for data migration capabilities, ensuring alignment with the overall migration product vision and customer needs. For example, defining features and processes that ensure the accuracy, completeness, and consistency of migrated data, including defining validation rules, diagnostic mechanisms, and reporting capabilities.
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Define Product Requirements: Translate customer needs and strategic direction into clear, concise, and detailed product requirements, user stories, and acceptance criteria for data migration features. This involves close collaboration with engineering, design, and our Professional Service teams.
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Support Product Development & Prioritization: Work day-to-day with engineering teams to guide the development of data migration and validation features, clarify requirements, answer questions, and assist in prioritizing tasks within your feature areas to ensure timely delivery and quality.
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Understand Ecosystem for Data: Learn and understand how data migration and validation features fit into the broader ecosystem migration (ETL pipelines, database code, consuming applications), recognizing dependencies and ensuring our offerings support a holistic migration process.
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Analyze Feature Performance: Monitor and analyze usage data, customer feedback, and success metrics specifically for data migration and validation features to identify areas for improvement, inform future iterations, and demonstrate the value delivered.
OUR IDEAL STAFF PRODUCT MANAGER WILL HAVE:
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Extensive experience (10+ years) building and delivering enterprise products
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Strong familiarity with data ecosystems (databases, analytics, data engineering, ETL)
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Experience building and delivering tools or platforms for data engineers or developers
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Proven experience delivering GenAI products, particularly those involving AI-powered code translation, developer co-pilots, or complex semantic validation
WHY JOIN OUR MIGRATIONS TEAM AT SNOWFLAKE?
Joining the Migrations product team at Snowflake offers an exceptional opportunity to be at the forefront of data and application modernization, directly impacting customer success by enabling the strategic leveraging of the Snowflake AI Data Cloud. You'll tackle complex, high-value challenges, building essential products and APIs that simplify intricate data ecosystem migrations—from ETL pipelines to applications—for our customers and partners. Your contributions will directly accelerate the adoption of Snowflake, driving significant value and cementing our customers' investment in a modern, AI-ready future.
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 http://careers.snowflake.com
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About Snowflake

Snowflake
Publicsnowflake provides web applications and web hosting services.
1-50
Employees
Zürich
Headquarters
Reviews
3.6
1 reviews
Work Life Balance
3.0
Compensation
3.5
Culture
2.5
Career
3.0
Management
2.0
35%
Recommend to a Friend
Pros
Positive performance reviews and raises
Opportunities to learn new technical skills
Career advancement with promotion
Cons
Role demotion after acquisition
Poor communication regarding promotions
Administrative inefficiencies with title updates
Salary Ranges
3,987 data points
Junior/L3
L4
L5
L6
L7
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Junior/L3 · Product Manager IC2
0 reports
$357,500
total / year
Base
-
Stock
-
Bonus
-
$303,875
$411,125
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 88%
Negative 12%
Interview Process
1
Application Review
2
Resume Screening
3
Initial Phone Screen
4
Technical Phone Screen
5
Technical Coding Round
6
Offer Discussion
Common Questions
Coding/Algorithm
Technical Knowledge
System Design
Behavioral/STAR
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