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Lead applied research combining formal methods, automated reasoning, and modern ML/LLMs to build verified, trustworthy data infrastructure; prototype and ship production features, partner with engineering and product, and scale methods across teams.

Design, develop, and operate highly scalable distributed cloud control plane systems. Identify and resolve performance/scalability bottlenecks, deliver end-to-end projects, improve observability, ensure production readiness, and mentor junior engineers.

Define the technical vision and architecture for enterprise AI products, including multi-agent systems, tool-use frameworks, NL-to-SQL engines, RAG, and LLM reliability infrastructure. Partner with Product, Engineering, and Research leadership to bring AI capabilities to production scale. Design reusable context-engineering patterns, mentor senior engineers, lead high-stakes technical initiatives, and drive experimentation and technical excellence.

Provide technical leadership for Snowflake data platform architecture in enterprise sales cycles. Partner with sales teams, executives, customers, and technical stakeholders to conduct discovery, deliver demonstrations, support proofs of concept, and guide design and implementation. Apply expertise in cloud data platforms, data engineering, streaming, ETL/ELT, lakehouse architectures, and competing technologies while collaborating with Product Management, Engineering, and Marketing.

Own enterprise sales for Snowflake’s Majors Financial Services accounts. Build executive and technical customer relationships, qualify opportunities, uncover business requirements, present solutions, conduct demonstrations and proofs of concept, and guide customers through cloud adoption and digital transformation. Collaborate with partners and internal Product, Engineering, Marketing, and implementation teams to position Snowflake, close strategic deals, and drive post-sale customer utilization and success.

Principal Solution Engineer responsible for helping UK customers evaluate and adopt Snowflake. Partners with sales teams, channel partners, and customers to present solutions, conduct demos and proofs of concept, design architectures, develop technical champions, and secure technical wins. Requires strong modern data, cloud, SQL, presentation, and customer-facing skills. The role also involves competitive positioning, partner collaboration, account planning, and representing Snowflake at industry events.

Build and own end-to-end marketplace monetization features: React checkout and billing UIs, backend services in Java/Python/Go for entitlements, metering, invoicing, and payment orchestration. Ensure reliability, observability, fraud prevention, and idempotency in transactional pipelines. Collaborate with product, billing, and operations; participate in design, code reviews, and testing; and drive improvements in monitoring and operational tooling.

Own product strategy and roadmap for enterprise AI features used by Snowflake sales teams. Define requirements, prioritize via data, conduct user and market research, collaborate with engineering, data, and sales in agile sprints, influence platform dependencies, drive sales enablement, and engage customers on AI-driven workflow 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 Solutions Engineer at Snowflake, you'll solve complex customer problems, present Snowflake technology, and support successful implementations while collaborating with sales and technical teams.