Jobs
Required Skills
Product management
Data analysis
Problem solving
Communication
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’s AI Data Cloud is the unified platform and connected ecosystem of organizations building, using, and sharing data, apps, and AI. At the foundation of this platform is trust. Customers rely on Snowflake to run their most mission critical data and AI workloads with confidence across regions, clouds, and failure scenarios.
Replication and disaster recovery are core to that trust. As Snowflake powers increasingly always on enterprise AI and data workloads, we are investing in maturing our replication and DR capabilities to be more reliable, observable, and easy to operate at global scale.
We are seeking a Product Manager to help drive execution across Snowflake’s replication and disaster recovery roadmap. This role is ideal for an early career PM who wants to work on foundational cloud infrastructure in the AI era, learn how large scale distributed systems are built, and develop strong product instincts through close partnership with senior PMs, architects, and engineering leaders.
IN THIS ROLE, YOU WILL
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Own end to end delivery of specific replication and disaster recovery features, from problem definition through launch and iteration
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Execute on Snowflake’s BCDR roadmap, including replication coverage expansion, managed DR workflows, auditing, and observability
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Use data, metrics, and AI assisted analysis to identify gaps, prioritize work, and measure impact across replication and DR workflows
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Partner closely with engineering teams to translate customer, business, and platform needs into clear product requirements and execution plans
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Develop product judgment around reliability tradeoffs, consistency, and SLAs in large scale distributed systems
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Coordinate with adjacent teams across storage, metadata, security, and GTM to ensure clean platform integration
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Participate in customer conversations, previews, and feedback loops with enterprise customers running mission critical AI and data workloads
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Leverage modern AI and analytics tools to accelerate product discovery, documentation, and decision making
OUR IDEAL CANDIDATE HAS:
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Bachelor’s degree in Computer Science from a top tier undergraduate program
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Early career experience as an Associate Product Manager or a background in investment banking or top tier management consulting
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Strong analytical and problem solving skills, with comfort using data to inform product decisions
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Interest in cloud infrastructure, distributed systems, and platforms that power enterprise AI and data workloads
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Comfort using AI tools to improve productivity, insight generation, and execution.
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Excellent written and verbal communication skills
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A growth mindset and eagerness to learn from senior PMs and engineers
WHY JOIN THIS TEAM?
This role offers a rare opportunity to work on core platform infrastructure that powers the most mission critical AI and data workloads at the world’s largest enterprises early in your product career. You will gain hands on experience building replication and disaster recovery capabilities at global scale, develop fluency in using data and AI as core product management tools, and be mentored by senior product and engineering leaders shaping Snowflake’s platform.
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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