Jobs at Snowflake

Build and scale an LLM post-training platform: design public training APIs and SDKs, control plane and GPU data plane, implement multi-tenant scheduling and capacity-aware routing, optimize end-to-end performance and throughput, and productionize research components for reliable enterprise-scale training and inference.

As a Staff AI Engineer on Cortex Code Quality, you will define agent behavior and build quality systems for AI coding agents, leading cross-functional teams and ensuring dependable quality in production.

Design and implement identity and access management and AI security capabilities, build scalable authorization frameworks, integrate modern authentication protocols and IdPs, enable secure data sharing and external application access, lead large projects, and drive high-quality code and design reviews.

Lead product strategy and roadmap for Snowflake's identity and access management platform. Design IAM features for AI agents and machine identities, simplify admin and end-user auth/authorization, partner with engineering and customers, mentor PMs, and drive global, hyperscale infrastructure from concept to enterprise deployment.

Lead product strategy and roadmap for Snowflake Interactive Analytics, partnering with customers and engineering to deliver high-concurrency, low-latency analytics for AI agents, BI, and real-time apps. Drive go-to-market, customer advocacy, and use AI tools to prototype and iterate.

Lead strategy and execution for Snowflake Zero-Copy Integrations: define product architecture, partner roadmaps, partner and field motions, governance and semantic fidelity, commercial models, and customer experience to enable governed, zero-copy access to application data for analytics, AI, and workflows.

As a Product Manager, you will define and execute Snowflake's networking strategy to enhance AI product performance, connectivity, and security across cloud environments, collaborating with various teams to ensure optimal infrastructure support.

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.

Design, build, and operate a Kubernetes/OCI-based container compute platform (Snowpark Container Service). Lead engineering efforts, mentor teammates, ensure reliability, scalability, observability, and on-call readiness for large-scale, multi-tenant cloud systems.

Lead pre-sales engagements by presenting Snowflake to technical and executive stakeholders, delivering demos and enterprise proofs-of-concept, designing solutions, collaborating with product and engineering, and helping close large deals while maintaining deep knowledge of databases, analytics, cloud, and AI/ML technologies.

Lead and grow the System Under Test (SUT) team to build a reliable, low-latency, cost-efficient test platform. Own roadmap, drive SLO-driven reliability and performance improvements, guide architecture toward a composable containerized platform, and ensure operational excellence including on-call, incidents, and maintenance.

Design, develop, and support Snowflake's petabyte-scale, highly parallel, fault-tolerant cloud database. Analyze performance and scalability bottlenecks, implement query optimization and distributed data-processing algorithms, instrument and debug system components, and build tools to surface customer workload insights.

Lead design and implementation of IAM and AI security capabilities, build scalable authorization frameworks, integrate identity providers and authentication protocols, enable secure data and application access, lead multi-engineer cross-team projects, and provide high-quality code and design guidance to shape product strategy.

Seeking a Senior Data Scientist to collaborate with Product and Engineering teams, develop data models and analytics frameworks, and influence product enhancements using SQL and Python.

The Principal Software Engineer will design, develop, and support distributed systems, mentor junior engineers, and solve complex scalability issues.

The Software Engineer will develop full-stack applications using Go, React, and Java, focusing on creating engaging user experiences and leveraging AI to enhance productivity.

Lead design of AI-native data products across catalog, collaboration, and marketplace. Own vision and execution, prototype quickly (code and AI tools), define interaction patterns for trustworthy AI, collaborate with engineering/PM, evaluate UX with qualitative and quantitative signals, and deliver high-quality, shipped product experiences.

Design and build AI-first developer platforms and tooling to boost engineer productivity. Improve reliability via observability, alerting, SLOs, and automated remediation. Drive enterprise-grade build systems, CI pipelines, testing/validation, and shared frontend infrastructure. Collaborate across product, architecture, and engineering teams and mentor junior engineers to deliver scalable, maintainable user-experience features.

Own the end-to-end roadmap for database and SaaS connectors on Snowflake's Openflow platform. Lead discovery through GA, collaborate with engineering, design, sales, and support, prioritize using telemetry and AI/SQL insights, and drive connector strategy, observability, pricing, and field enablement to optimize reliability, performance, and TCO.

Lead and scale Snowflake's strategic Google Cloud partnership across product integration, joint marketing, and co-sell. Drive joint sales plays, manage incentive programs, run executive QBRs, enable sellers, build business plans, measure program impact, and coordinate cross-functional teams to hit co-sell targets.