Jobs at Snowflake

Lead product marketing for Snowflake's platform: define messaging and positioning, drive GTM for major launches, enable sales, influence roadmap via market signals, track GTM KPIs, and hire and develop product marketing talent.

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.

Leads product and engineering strategy for Finance, People, Legal, and Revenue applications, transforming enterprise workflows into AI-native products and autonomous agents. Partners with executives to redesign operating models, establishes AI architecture and governance standards, builds reusable platforms, and leads cross-functional product pods. Owns adoption, reliability, controls, ROI, budgets, vendor strategy, and talent development while scaling production-grade intelligent workflows with auditability and security.

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.

Build and own Snowflake’s operational tooling strategy, roadmap, and internal business systems. Design workflow automation, AI agents, and GenAI workflows for staffing, forecasting, planning, anomaly detection, and reporting. Integrate PSA, CRM, planning, and BI systems while maintaining data integrity and governance. Drive tooling adoption, standards, optimization, and cross-functional alignment with operations, enterprise technology, and data teams.

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.

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, 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.

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.

Lead the strategy and execution of Snowflake’s unified transactional portfolio, including Snowflake Postgres and Unistore. Drive OLTP product vision, partnerships, cross-functional alignment, AI integration, market adoption, and growth toward a $1B+ business. Build and develop a high-performing product management team while scaling transactional data products across enterprise software markets.

Design and build Snowflake’s multi-cloud capacity platform for CPU and GPU resources across AWS, Azure, and GCP. Own canonical capacity data, demand forecasting, procurement, reservations, allocation, utilization, supply-risk visibility, and cost optimization systems. Collaborate with cloud providers and core services, AI/ML, warehouse, and finance teams. Ensure high availability, reliability, and performance through production support, troubleshooting, on-call participation, and incident management.