Cloud Partner Solutions Engineer – Microsoft Azure

Snowflake

Cloud Partner Solutions Engineer at Snowflake overseeing cloud partner strategies and execution plans. Responsible for driving customer success and product integration launches in a collaborative environment.

Posted 7/30/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and executing go-to-market strategies for cloud partnerships, including managing product integrations and delivering impactful customer workshops. Strong analytical skills supported by a relevant degree, with a focus on joint solutions and co-sell lifecycle management.

Highest-signal resume keywords

Go-To-Market StrategyCloud Partner EngagementJoint Solutions DevelopmentCo-Sell Lifecycle ManagementCustomer Workshops

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Cloud Product IntegrationData AnalyticsOpportunity IdentificationProduction DeploymentPortfolio Management

Soft Skills

MentoringCollaborationLeadership

Certifications & Qualifications

Bachelor’s DegreeMBA

Industry Keywords

Cloud MarketplaceAccount PlanningCo-Sell AssetsJoint Industry Solutions

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Own the overall joint GTM strategy and execution plan for assigned cloud partner(s)
Build and manage a portfolio of cloud partner product integrations and joint solutions
Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings
Drive joint account planning with field AEs and cloud Alliances teams against top-account lists
Lead and manage the full co-sell lifecycle from opportunity identification to production deployment
Deliver packaged POCs and customer workshops around high-impact co-sell plays
Mentor junior Solutions Engineers on cloud partner engagement models and technical delivery

Requirements

What you’ll need

Bachelor’s Degree in Business, Marketing, Computer Science, Data Science, or a related analytical field
Advanced Degrees: An MBA or a Master’s in Data Analytics preferred for senior-level or strategic positions

Benefits

Comp & perks

medical, dental, vision, life, and disability insurance
401(k) retirement plan
flexible spending & health savings account
at least 12 paid holidays
paid time off
parental leave
employee assistance program
other company benefits