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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product management for cloud infrastructure and container services, with a strong focus on platform capabilities, performance metrics, and cross-functional collaboration. Proven ability to translate customer needs into scalable solutions while ensuring security and reliability.
Highest-signal resume keywords
Product Management ExperienceCloud Infrastructure ExpertiseContainer Platform KnowledgeKubernetes-Based Service ExperienceUnit Economics Familiarity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud InfrastructureContainer PlatformsServerless PlatformsDistributed SystemsPerformance MetricsProduct Roadmap ManagementTechnical Product OwnershipAI Utilization for AnalysisGPU Compute ExperienceData Workload Support
Soft Skills
Clear WritingCrisp CommunicationDecision-MakingCollaborationPrioritization
Tools & Technologies
AWSAzureGCPNvidia InfrastructureKubernetes
Industry Keywords
Platform CapabilitiesCompute InstancesStorage ReliabilityWorkload EconomicsTechnical Field Degree
Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetes
About the role
Key responsibilities & impact- Own the Snowpark Container Services product roadmap and ship platform capabilities
- Manage the compute instance portfolio across AWS, Azure, and GCP, including CPU, ARM, and GPU instances
- Own storage and file system capabilities required by workloads
- Convert first-party product partner requests into standard platform capabilities or one-off solutions
- Take features from early preview to general availability
- Set launch criteria and hold releases when security, reliability, or unit economics are not ready
- Work with engineering on architecture, performance, reliability, and cost
- Own platform health metrics including startup time, isolation, storage reliability, and workload unit economics
- Partner with Finance on pricing, including $/GiB and instance pricing
- Serve as product point of contact for AWS, Azure, GCP, and Nvidia infrastructure partners
- Support account teams qualifying strategic customers onto Snowpark Container Services
- Use AI for customer and partner synthesis, specifications, launch reviews, and prioritization analysis
Requirements
What you’ll need- 5+ years of product management experience, including several years on a platform, infrastructure, or developer-facing product, or equivalent experience owning a technical product end to end
- Hands-on depth in at least one of: cloud infrastructure, container or serverless platforms, developer runtimes, or distributed systems
- Ability to hold design reviews with senior engineers and make decisions
- Track record of taking a platform capability from 0 to 1 or from early adoption to scale
- Experience working across engineering and at least one partner team
- Ability to turn bespoke requests into reusable capabilities and explain prioritization decisions
- Clear writing and crisp communication with engineering leads, partner PMs, finance, and account teams
- Bachelor's degree in a technical field, or equivalent experience
- Direct experience with a container platform, Kubernetes-based service, or serverless compute product (bonus)
- Experience qualifying or launching GPU or accelerated compute instances, or working with a hardware/CSP roadmap (bonus)
- Experience supporting data, AI, or developer workloads on a shared platform (bonus)
- Familiarity with unit economics for compute or storage (bonus)
Benefits
Comp & perks- Salary range of $200K–$287.5K
- Hybrid work arrangement
- Opportunity to work on Snowflake's extensible compute platform and high-impact AI, data, and developer workloads
- Collaboration with engineering, product, finance, account teams, infrastructure partners, and strategic customers
- Career growth in a fast-growing technology company