Note: The job is a remote job and is open to candidates in USA. Snowflake is a company powering the era of the agentic enterprise, seeking AI-native thinkers to reinvent how work is done. The Cloud Partner Solutions Engineer will support co-sell objectives with Cloud Service Provider partners, driving customer success and managing partnerships through technical and business acumen.
Responsibilities
- Own the overall joint GTM strategy and execution plan for your assigned cloud partner(s), aligning Snowflake's field priorities with cloud partner co-sell programs and market initiatives
- Build and manage a portfolio of cloud partner product integrations and joint solutions — from business case through launch — ensuring each delivers measurable field and customer value
- Develop Joint Industry Solutions, co-sell assets, and cloud marketplace offerings that align Snowflake use cases to cloud partner product portfolios and commercial programs
- Lead joint planning cadences with cloud partner alliance teams, translating partner strategy into actionable quarterly and annual execution plans
- Identify whitespace opportunities, product gaps, and integration priorities; synthesize partner field feedback into structured recommendations for Snowflake product and GTM teams
- Represent Snowflake at partner events, conferences, and executive forums — including AWS re:Invent, Google Next, and Microsoft Build — as a credible voice across both technical and business audiences
- Drive joint account planning with field AEs and cloud Alliances teams against top-account lists, establishing 18+ month account strategies that integrate Snowflake and cloud partner resources
- Lead and manage the full co-sell lifecycle — from opportunity identification and qualification through technical win and production deployment — with clear milestone ownership and stakeholder communication throughout
- Frame and communicate the business value of joint Snowflake + cloud partner solutions to executive and technical stakeholders at target accounts, tailoring the narrative to industry context and customer objectives
- Deliver packaged POCs and customer workshops built around high-impact co-sell plays — including Open Lakehouse (S3/Iceberg, Fabric OneLake, BigLake), Cortex AI + cloud LLM services (Anthropic/Cortex, Azure OpenAI, Vertex AI), and Data Engineering pipelines
- Partner with SI teams on joint POC delivery and coordinate cross-functional resources (product, professional services, Alliances) to remove blockers and accelerate time to go-live
- Conduct and participate in joint Quarterly Business Reviews (QBRs) with cloud partner and Snowflake field leadership, presenting pipeline health, consumption trends, and next-period priorities
- Design and deliver enablement programs for cloud SA and partner field teams across AWS, Azure, and GCP — building both technical competency and commercial confidence in positioning Snowflake co-sell plays
- Build and sustain cloud SA champion networks through structured, account-based up-skilling covering product features, industry verticals, enterprise architecture patterns, and value-based selling frameworks
- Support cloud partner COE maturity development by providing architecture guidance, deployment best practices, and access to Snowflake technical and GTM resources
- Publish technical blogs, whitepapers, quickstarts, and case studies that document joint integration patterns, customer outcomes, and co-sell plays — creating reusable assets that multiply field impact beyond individual engagements
- Develop and maintain L100/L200 enablement decks and partner-facing narratives that translate complex technical integrations into business-relevant co-sell stories
- Lead hands-on Cortex AI enablement with cloud partner field teams, covering Cortex LLM, Search, Analyst, Fine Tuning, and Anthropic/Cortex co-sell plays relevant to each cloud's AI portfolio
- Architect and deliver cross-cloud Iceberg and Lakehouse solutions integrating Snowflake with AWS S3/Iceberg, Microsoft Fabric OneLake, and Google BigLake — demonstrating interoperability across the open data ecosystem
- Enable Openflow, Snowpark, and Snowpark Container Services (SPCS) deployment patterns in joint customer engagements, with a focus on production-readiness and scalability
- Map Snowflake workloads to cloud partner product portfolios (AWS SageMaker, Bedrock, Glue, MSK; Azure Data Factory, Power BI, Copilot, AI Studio; GCP Vertex AI, Gemini, BigQuery) to craft technically grounded co-sell narratives that hold up in front of both SAs and architects
- Support customers from technical win through production deployment, ensuring that go-live results in measurable, sustained consumption
- Mentor junior Solutions Engineers on cloud partner engagement models, co-sell execution, business value framing, and technical delivery
- Elevate team capability across technical depth, GTM execution, and partner program management by sharing playbooks, lessons learned, and reusable assets
Skills
- Most roles require a degree in Business, Marketing, Computer Science, Data Science, or a related analytical field
- An MBA or a Master's in Data Analytics is often preferred for senior-level or strategic positions
Benefits
- This role is also eligible to participate in Snowflake’s equity plan.
- This role is also eligible for a competitive benefits package that includes: 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;
- And other company benefits.
Company Overview
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