Jobs at Snowflake

Lead Snowflake implementation and services delivery for complex, technical projects. Own client relationships, manage project scope/schedule/risks, identify upsell opportunities, enable sales, and drive process and product improvements across teams.

Lead large, complex Snowflake implementations and cloud data programs as the program lead for Fortune 500 customers. Drive vision, roadmap, risk mitigation, budget governance, data migrations, and executive stakeholder alignment to deliver on-time, on-budget outcomes and measurable customer value.

The Senior Sales Engineer will perform technical discovery, manage POCs, collaborate with Sales Executives, and train teams on observability technology.

The Senior Solution Engineer will collaborate with sales teams to solve complex customer problems, demonstrate technology, conduct POCs, and close business deals.

The role involves selling and delivering Snowflake Professional Services, acting as a trusted advisor, and collaborating with teams to drive the adoption of Snowflake's solutions while ensuring customer success through technical workshops and documentation creation.

Lead a team of industry technical architects to drive strategic customer engagements and build repeatable reference architectures for the Snowflake AI Data Cloud. Partner with Sales, Engineering, and Marketing to translate persona-driven use cases into measurable business outcomes, run design-led workshops, create solution showcases, influence product roadmaps, and scale engagement models globally.

The Cloud Partner Solutions Engineer drives partner success by managing cloud integration strategies, leading joint GTM plans, and executing co-sell initiatives across AWS, Azure, and GCP, ensuring measurable value and customer outcomes.

The Data Platform Architect will lead technical efforts in designing Snowflake's data solutions for enterprise clients, collaborating with sales, presenting to executives, and integrating complex data technologies.

Lead sales and deployment of custom AI/ML solutions, driving pipeline and revenue for allocated accounts. Collaborate with Field Sales, Product, Sales Engineering and AI teams to discover requirements, architect agentic AI solutions, write SOWs, negotiate commercial terms, and manage complex sales cycles to ensure customer adoption and measurable business outcomes.

Lead Snowflake's GTM partnership with AWS by developing strategy, accelerating co-sell revenue and joint pipeline, enabling field engagement, driving AWS Marketplace and Partner Central adoption, aligning solutions with AWS priorities, and delivering scalable enablement and escalation support across cross-functional teams.

Build net-new enterprise business across Malaysia by prospecting, conducting discovery and demos, creating and qualifying pipeline, developing executive relationships, executing territory and sales strategies, closing complex deals, and collaborating with partners and cross-functional teams to meet quarterly and annual quotas.

Lead global support operations to transform manual processes into AI-augmented, outcome-based systems. Drive staffing, tiered support models, capacity planning, data-driven improvements, and cross-functional initiatives to improve customer experience and operational efficiency. Build and empower teams, define success metrics, and institutionalize support intelligence at scale.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

Serve as an AI/ML-focused solution engineer for Healthcare & Life Sciences: provide technical guidance, design cloud data and lakehouse architectures on Snowflake, lead demos and proofs-of-concept, support sales cycles, collaborate with product and engineering, and communicate AI/ML value to technical and executive stakeholders.

The Senior Solution Engineer at Snowflake presents technology solutions, works on customer needs during sales cycles, and collaborates with various teams to improve products and marketing.