Jobs at Snowflake

Lead qualitative and quantitative user research at Snowflake, partnering with product, design, engineering, and marketing leaders. Translate customer needs, product usage data, and research findings into product and go-to-market decisions. Build alignment through complex tradeoffs, identify opportunities, and support launch and adoption. Apply AI thoughtfully to research while maintaining rigorous standards for evidence, confidentiality, and data security.

Leads a global team of Sales Engineering Enablement Business Partners supporting technical sales organizations. Defines enablement strategy, operating mechanisms, curricula, workshops, communications, and measurement programs. Partners with Sales Engineering, Product, Marketing, and Solutions Architecture leaders to improve technical readiness, ramp time, win rates, and field impact. Requires extensive experience in sales engineering or technical enablement, people management, enterprise SaaS, data analytics, executive stakeholder influence, and global program execution.

Own Snowsight’s web performance strategy and infrastructure. Build monitoring, regression detection, dashboards, performance budgets, and CI/CD guardrails. Diagnose and resolve performance issues involving React rendering, data fetching, caching, large dataset visualization, build tooling, and delivery optimization. Partner with product and platform teams on performance-aware architecture, mentor engineers, and drive organization-wide performance practices.

Build Snowflake’s large-scale, multi-cloud Postgres service, focusing on orchestration and control-plane systems, high availability, disaster recovery, performance tuning, security, and distributed systems. The role involves integrating AWS, Azure, and GCP APIs, operating large Postgres deployments, optimizing low-level system performance, and collaborating with geographically distributed engineering teams.

Build backend control-plane services for managed PostgreSQL in Snowflake, including provisioning, lifecycle management, configuration, authorization, security, asynchronous workflows, reliability, observability, and operations. Investigate production issues, participate in on-call, collaborate across product and security teams, and contribute to technical design, code reviews, and mentoring.

Design, build, and operate distributed billing systems for metering, rating, invoicing, payments, and reporting. Own medium-sized projects end to end, contribute to multi-team initiatives, ensure reliability and correctness, and partner with Product, Finance, Legal, Growth, and engineering teams. Help define billing and pricing models for AI products, participate in on-call support, improve observability, and mentor engineers.

Leads the Cloud Efficiency engineering team, defining technical strategy and delivering a self-service platform for cloud cost attribution, governance, observability, and optimization. Responsibilities include managing and developing engineers, owning multi-quarter roadmaps, building scalable backend systems and data pipelines, partnering cross-functionally, and applying anomaly detection, time-series analysis, and machine learning to cloud spend management.

Design and build Snowflake’s Cortex LLM post-training platform across public APIs, control plane, and GPU data plane. Scale distributed, fault-tolerant systems for multi-tenant GPU scheduling, routing, training, inference, and reinforcement learning workloads. Optimize performance, throughput, reliability, and cost efficiency while partnering with research teams to productionize advanced LLM training and inference techniques.

Leads Snowflake’s strategic global partnership with T-Mobile, owning revenue and quota growth, developing multi-year account strategies, engaging C-suite stakeholders, and closing transformational enterprise agreements. The role expands Snowflake adoption across T-Mobile business units and regions while coordinating global teams across sales, marketing, partners, legal, product, and services. It requires strong consultative selling, executive engagement, telecommunications knowledge, CRM proficiency, and willingness to travel globally.

Design and develop high-performance LLM inference systems across distributed serving, runtimes, GPU execution, and performance-critical kernels. Improve latency, throughput, scalability, memory efficiency, and cost through advanced parallelism, decoding, scheduling, batching, KV-cache optimization, quantization, and GPU optimization. Build adaptive inference systems, profile end-to-end workloads, solve complex systems problems independently, and advance research innovations into production through collaboration and open-source contributions.

Own Snowflake’s IAM and authorization product roadmap, including RBAC, privilege management, identity governance, authentication policies, and AI-powered access intelligence. Translate enterprise security requirements into product specifications, collaborate with engineering and cross-functional teams, engage customers, define adoption metrics, and launch scalable access governance capabilities for human and non-human identities.

Design and research agentic AI and reinforcement learning systems: build auto-research and coding agents, develop recursive self-improvement and multi-agent frameworks, run RL experiments (RLHF, DPO, PPO), curate training data pipelines, and publish results at top ML venues.

Design, develop, and maintain scalable cloud cost and efficiency monitoring systems. Build automation for monitoring, alerting, and root cause analysis; optimize data ingestion, storage, and query performance; and collaborate cross-functionally to improve operational visibility. The role requires troubleshooting complex production systems, supporting high availability and reliability through on-call participation, contributing to distributed-systems best practices, and driving strategic, measurable-impact engineering projects.

Leads Snowflake’s AI Developer Experience engineering team, setting the roadmap for transforming software development and delivery through AI. Responsibilities include managing and developing engineers, improving code review latency, enabling access to modern AI tools and models, establishing agentic development pathways, and maintaining operational excellence through on-call management, incident response, postmortems, and support prioritization. The role requires strong technical judgment, cross-functional communication, measurable customer impact, and experience modernizing developer productivity and CI/test workflows.

Lead and grow the Cost Intelligence engineering team while setting technical strategy for scalable backend systems, data pipelines, APIs, and customer-facing cost optimization products. Own multi-quarter roadmaps covering cost allocation, budgeting, anomaly detection, and optimization recommendations. Partner with Product, Design, Data Science, and engineering teams to deliver reliable features, support integrations, and drive technical excellence, talent development, and end-to-end execution.

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.

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.

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.

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.