Why This Job is Featured on The SaaS Jobs
This Product Manager role sits at a foundational layer of the SaaS stack: the reliability mechanics that make always on cloud services credible to enterprise buyers. Replication and disaster recovery are not feature add ons in data platforms; they are part of the trust contract that underpins production workloads across regions and cloud providers. That makes the scope inherently cross cutting, touching storage, metadata, security, and operational tooling.
For a SaaS product career, this kind of platform work builds durable instincts around SLAs, consistency tradeoffs, and observability, all of which translate to other infrastructure and developer focused products. The emphasis on metrics and AI assisted analysis also mirrors how modern SaaS teams increasingly run product discovery and prioritization, especially when customer impact is expressed through uptime, recovery objectives, and operational burden rather than UI adoption.
The role is best suited to someone who prefers structured problem definition, crisp requirements, and tight execution loops with engineering partners. It fits an early career PM who wants to develop judgment by shipping discrete capabilities while learning from senior product and technical leaders, and who is motivated by complex systems where customer conversations revolve around risk, resilience, and operational confidence.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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
Own end to end delivery of specific replication and disaster recovery features, from problem definition through launch and iteration
Execute on Snowflake’s BCDR roadmap, including replication coverage expansion, managed DR workflows, auditing, and observability
Use data, metrics, and AI assisted analysis to identify gaps, prioritize work, and measure impact across replication and DR workflows
Partner closely with engineering teams to translate customer, business, and platform needs into clear product requirements and execution plans
Develop product judgment around reliability tradeoffs, consistency, and SLAs in large scale distributed systems
Coordinate with adjacent teams across storage, metadata, security, and GTM to ensure clean platform integration
Participate in customer conversations, previews, and feedback loops with enterprise customers running mission critical AI and data workloads
Leverage modern AI and analytics tools to accelerate product discovery, documentation, and decision making
Our Ideal Candidate Has
Bachelor’s degree in Computer Science from a top tier undergraduate program
Early career experience as an Associate Product Manager or a background in investment banking or top tier management consulting
Strong analytical and problem solving skills, with comfort using data to inform product decisions
Interest in cloud infrastructure, distributed systems, and platforms that power enterprise AI and data workloads
Comfort using AI tools to improve productivity, insight generation, and execution.
Excellent written and verbal communication skills
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
