Jobs at Snowflake

Lead the Snowflake Investment Program managing financial planning, budgeting, forecasting, KPI dashboards, and program operations. Partner with Sales, Corporate Finance, and Sales Operations to align investments with GTM strategy, produce executive-ready reporting, run investment reviews, and drive continuous improvement using AI and automation.

Lead technical pre-sales for enterprise deals: present Snowflake to executives and engineers, run demos and POCs, perform deep architectural discovery, map customer needs to Snowflake Data Architecture, collaborate with Product and Engineering, and support deal closure. Expect ~30% travel and close collaboration with partners and GSIs.

As a Principal Engineer at Snowflake, you will design and support scalable distributed systems for metadata, mentor junior engineers, and solve performance challenges.

As a Solutions Engineer at Snowflake, you'll solve complex customer problems, present Snowflake technology, and support successful implementations while collaborating with sales and technical teams.

Generate pipeline by prospecting and qualifying leads via outbound calls, email and social campaigns; set discovery meetings; research accounts; collaborate with sales and marketing; analyze inbound/outbound prospects and communicate effectively across stakeholders in a fast-paced SaaS environment.

Lead global marketing operations strategy, platforms, and team to scale AI-forward demand generation. Own platform architecture, data governance, lead lifecycle, experimentation, budgeting, and agency partnerships to drive efficient, compliant, high-impact marketing execution.

Partner with account teams to understand customer needs, present Snowflake strategic vision to stakeholders, run deep-dive demos and POCs, drive healthy product consumption, and collaborate with product and engineering to secure technical wins and inform roadmap.

As a Senior Solution Engineer, you will engage with customers to lead technical discovery, solution design, and presentations, translating requirements into architectural solutions using the Snowflake platform.

Lead and coach a team in executive technical recruiting, building strategies, and enhancing AI workflows to attract top technical talent.

Own Snowpark product strategy, roadmap, and growth; lead 0->1 expansion into unstructured, multimodal, and agentic AI data processing; own ML inference, batch pipelines, execution engine, security, and governance; act as GM driving go-to-market with Sales and Marketing; collaborate across engineering and ecosystem partners; serve as internal and external Snowpark expert.

Build AI-first tax analytics: design and deploy AI agents, author prompts/skill files, unify tax data, develop semantic models and Streamlit apps, automate compliance reporting, and partner with Tax leadership to productionize workflows.

Drive new enterprise client acquisition by prospecting, qualifying, and closing deals. Develop territory and regional sales plans, collaborate with marketing, run executive meetings, manage sales processes to hit quotas, support customer onboarding, and act as trusted advisor on IT/cloud/data roadmaps.

Build and maintain SnowCommand, Snowflake's internal production gateway. Develop and refine critical workflows, implement full-stack features (TypeScript services, Kubernetes), design metrics and experiments, collaborate with product and design, coordinate across partner teams, instrument and troubleshoot production systems, and contribute to product vision and planning.

Lead the design and architecture of Snowflake's Cloud Data Platform, working with customers to demonstrate its value, while maintaining industry technology insights.

Partner with account teams and partners to demonstrate Snowflake, run demos and proofs-of-concept, design solutions, build technical champions, and communicate value to technical and executive audiences while influencing product and partner strategies.

Lead pre-sales engagements for Snowflake by delivering executive and technical presentations, hands-on demos and proofs-of-concept, designing solutions, collaborating with product and engineering, and closing large enterprise deals while advising on data architecture and cloud ML/AI deployments.

In this role, you will build high-performance AI orchestration engines, scale context engineering infrastructure, productionize AI workflows, and optimize system performance with a focus on complex backend infrastructure for enterprise AI systems.

Lead technical design and delivery of GTM AI/ML decision systems for sales and marketing: forecasting, propensity and uplift models, recommendations, causal measurement, productionization, standards, and cross-functional embedding and mentorship.

Customer-facing technical role partnering with regional AEs/SEs to architect, prototype, and deploy AI/ML solutions on Snowflake. Build MVPs/PoCs, enable regional teams, deliver demos/workshops, synthesize customer feedback for product teams, and travel to support strategic US Major accounts.

Lead global GTM systems, data architecture, and revenue intelligence to optimize Quote-to-Cash, Core Sales Technology, and GTM Shared Services. Drive AI-native operations, standardize sales workflows, improve revenue velocity, and partner cross-functionally to embed Snowflake capabilities. Manage and grow a global team, govern buy vs. build decisions, and ensure trusted GTM data for executive decision-making.