
Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.
Open Positions at Snowflake
132 open positions
Snowflake is seeking a Senior Software Engineer to build security foundations for its Anti-Abuse team, protecting customers from fraud, account takeovers, data exfiltration, and AI security threats. The role combines scalable security platforms, real-time detection, AI/ML risk scoring, and multi-cloud engineering.
Join Snowflake’s Customer Experience Engineering team to build production-grade ML and LLM-powered systems that automate support workflows, detect incidents, and augment technical experts. You’ll develop models, agents, evaluations, and intelligent services across Java, Python, Snowflake, and Kubernetes.
Lead the design and evolution of Snowflake’s semantic modeling layer, translating semantic queries into correct, high-performance SQL at petabyte scale. Partner with Cortex and AI teams to power trustworthy analytics for BI tools and AI agents.
Snowflake is seeking a Solution Engineer to help enterprise customers modernize their data stacks and adopt Analytics, AI, and machine learning solutions. The role partners with sales and channel teams to lead technical demonstrations, value-based conversations, and enterprise Proofs of Concept.
Build the next generation of high-performance LLM inference systems at Snowflake AI Research, spanning distributed serving, runtimes, GPU execution, and optimization. This role combines systems research with production engineering to improve inference speed, efficiency, scalability, and adaptability.
Paid Applied AI engineering internship in Warsaw focused on building, evaluating, and deploying production-oriented AI applications such as agents, RAG pipelines, and LLM integrations. Interns will work with experienced engineers and researchers on real customer use cases while gaining hands-on experience taking prototypes to production.
Lead Snowflake’s cloud infrastructure performance strategy by evaluating next-generation hardware, building benchmarking and modeling systems, and translating performance data into pricing, capacity, and rollout decisions. This high-autonomy principal role combines deep systems analysis with cross-functional leadership across engineering, finance, cloud providers, and silicon partners.
Lead Snowflake’s global financial services Solution Engineering organization, driving expansion, consumption, and AI-led transformation across banking, insurance, and capital markets. This second-line leadership role combines executive customer engagement, strategic sales partnership, and development of a multi-layered SE leadership team.
Build cloud security software and platforms that protect Snowflake’s massive, multi-cloud environment through automated controls, posture monitoring, and AI-augmented risk analysis. This senior role owns security workstreams end to end while improving developer security experiences.
Design scalable, enterprise-grade observability architectures for Snowflake Observe customers, guiding implementations from technical discovery through production readiness. This post-sales Solutions Architect role combines deep telemetry expertise, customer engagement, migration strategy, and technical leadership.
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