Jobs at Snowflake

Enterprise Account Executive responsible for driving Snowflake adoption within Financial Services accounts. Build executive relationships, qualify deals, conduct discovery and demos, craft solution proposals, guide cloud data and digital transformation, and provide post-sales technical guidance to ensure customer success.

Customer-facing Solution Engineer partnering with Sales to design and demo scalable data and AI solutions, lead AI strategy conversations, run enterprise POCs, translate technical concepts into business outcomes, and influence stakeholders across technical and executive audiences.

Serve as a technical leader for legacy-to-AI cloud migrations and enterprise generative AI architecture. Create reusable solution patterns and reference architectures, advise C-suite stakeholders, architect LLM robustness and guardrails, and manage high-complexity data migrations into Snowflake AI workloads.

Lead startup outreach and engagement for AI-native companies, prioritize high-potential startups, coordinate cross-functional GTM and technical teams, drive adoption of Snowflake and Cortex AI, build ecosystem visibility through events and partnerships, and measure/report outcomes to accelerate startup workload migration and growth on Snowflake.

Sell Observe by Snowflake enterprise observability solutions: run discovery, deliver tailored demos, qualify and close complex deals, build pipeline, drive full-cycle land/adopt/expand motions, and collaborate cross-functionally to meet multi-million dollar quotas.

Lead and grow Snowflakes partner ecosystem within a specific country, managing SIs, CSPs, and technology partners to drive joint GTM programs, quota attainment, practice development, executive relationships, deal support, cross-functional collaboration, and partner performance monitoring. Build multi-partner strategies, enable partner certification and technical capacity, and ensure customer success. Travel approximately 25%.

The Senior Solution Engineer at Snowflake will solve complex customer problems, deliver demos, support Proof of Concepts, and close business deals while collaborating with sales and technical teams.

Lead technical delivery and architecture for complex Snowflake data and AI engagements: define platform strategy, design scalable AI/ML and MLOps solutions, drive adoption of Snowflake AI products, mentor teams, and ensure measurable business outcomes.

Lead strategic enterprise technology partnerships to drive co-sell/resell revenue and joint GTM. Own global partner strategy, sales enablement, technical integrations, QBRs, co-marketing, and cross-functional alignment to scale joint solutions and hit revenue targets.

Drive customer success and close large deals by presenting Snowflake to technical and executive audiences, delivering hands-on demos, supporting enterprise proofs-of-concept, collaborating with product and engineering, and maintaining knowledge of competitive technologies. Use SQL, Python, and data warehouse expertise while applying AI/ML understanding to solve complex technical challenges throughout the sales cycle.

Lead complex, customer-facing Snowflake implementations and AI/ML platform architecture. Define platform strategy, design end-to-end MLOps and governance, drive adoption of Snowflake AI products, mentor junior staff, and influence product and delivery practices to deliver scalable, secure, enterprise AI solutions.

Lead pre-sales engagements for enterprise customers: present Snowflake to executives and technical teams, deliver demos and POCs, design implementations, perform deep architectural discovery, position Snowflake against competitors, and collaborate with product, engineering, and marketing to close large deals.

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.

Lead a cross-functional team to define the product roadmap for the observability platform, focusing on strategy, prioritization, and driving product adoption.

Drive GTM and sales alignment with system integrator (SI) partners to grow partner-sourced and partner-influenced revenue for Snowflake Data Cloud. Develop and execute partner strategy, create joint account plans, enable partners, support deals through the sales cycle, track joint initiative performance, and ensure delivery success. This quota-carrying role requires cross-functional collaboration and focuses on partner adoption, consumption, and customer outcomes.

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.

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 and scale a multi-layer Solution Engineering organization for Majors accounts, own technical strategy and win across enterprise deals, drive generative/agentic AI adoption, partner with Sales/Product/Engineering, and build repeatable technical sales motions and metrics to convert POCs to production.

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.

Execute offensive security assessments across cloud and corporate environments, find vulnerabilities in software, systems, and networks, develop tooling and infrastructure to support Red Team engagements, set scope and metrics, communicate findings to stakeholders, and drive remediation.