Jobs at Snowflake

Partners with People Operations, Talent Acquisition, and HR stakeholders to define requirements and deliver HR system implementations and enhancements. Owns solution design, testing, UAT, cutover, deployment, hypercare, system administration, support triage, data integrity, documentation, and user training across platforms including ServiceNow HRSD and Ashby. Uses AI tools to automate and improve People Systems processes.

Leads the design and technical direction of Snowflake’s large-scale metadata and replication systems. Drives scalability, consistency, fault tolerance, performance, observability, safe rollouts, and cross-region and cross-cloud reliability. Partners with Product and architecture teams, leads multi-team initiatives, mentors senior engineers, and develops technical leaders.

Design, develop, and lead engineering work for Snowflake’s Kubernetes-based Snowpark Container Services platform. Responsibilities include building scalable and fault-tolerant distributed systems, managing projects from design through operations, mentoring engineers, ensuring reliability and performance, and providing on-call support for a cloud-native compute platform.

Lead a team of 5–8 engineers building Spark compiler and runtime capabilities on Snowflake. Set technical direction, guide architecture and code reviews, improve performance and reliability, establish compatibility testing and observability, investigate production issues, and partner with product and technical leaders on roadmaps. Hire, mentor, and develop engineers while delivering measurable improvements in compatibility, latency, cost efficiency, and production quality.

Provides comprehensive administrative and operational support to Product Management leadership. Responsibilities include complex calendar and travel management, expense coordination, event planning, guest and stakeholder support, meeting action tracking, process improvement, and project ownership. Acts as a liaison with customers, partners, vendors, and internal teams while managing administrative projects and improving team efficiency.

Leads complex Snowflake implementation and data migration projects for enterprise customers. Responsibilities include project planning, governance, budgeting, risk mitigation, data migration, code conversion, stakeholder alignment, executive communication, customer advising, and delivery oversight. The role manages cross-functional workstreams, ensures on-time and on-budget outcomes, supports scoping and proposals, improves delivery processes, and identifies opportunities to increase customer value and satisfaction.

Own the technical direction, architecture, development, and operation of large-scale continuous integration infrastructure. Design distributed systems supporting builds, testing, validation, workflow execution, scheduling, and developer tooling. Improve software delivery reliability, performance, security, and productivity while leading cross-team initiatives, mentoring engineers, managing technical roadmaps, responding to incidents, and driving long-term reliability improvements.

Advise Product and Engineering leaders on talent, performance, engagement, organizational design, change management, compensation, succession, retention, and employee relations. Coach managers through performance challenges, reviews, calibrations, and difficult conversations. Use people data, Workday reporting, and AI tools to identify trends and improve outcomes while partnering with global People teams and Centers of Excellence.

Design, develop, test, and operate distributed systems supporting Snowflake’s continuous integration platform. Build scalable CI services, APIs, automation, and developer tooling that improve build reliability, test execution, productivity, and delivery velocity. Investigate infrastructure and workflow issues, contribute to architecture and production support, and improve performance, reliability, security, and maintainability while collaborating with engineering teams across Snowflake.

Drive full-cycle enterprise sales for Observe by Snowflake, including prospecting, discovery, demonstrations, account expansion, territory planning, and quota attainment. Advise customers on observability, infrastructure, data, and modern data stack strategies while building recurring-revenue pipelines. Manage complex sales cycles, close enterprise relationships, and collaborate with sales engineering, product, services, marketing, legal, and finance teams.

Own Snowflake’s Data Transformation product portfolio, defining strategy across migration, ingestion, modernization, transformation, semantic, context, and governance layers. Lead and scale a product management team, partner with engineering leadership, prioritize execution, drive customer adoption and go-to-market alignment, and represent Snowflake externally. The role requires deep data infrastructure expertise, familiarity with SQL, ETL/ELT, orchestration, and AI-assisted code transformation, plus strong executive communication and strategic decision-making.

Leads original research and thought leadership initiatives while creating long-form content across multiple formats. Designs and scales AI-powered content workflows using prompt engineering, AI agents, and Snowflake tools. Builds self-service content capabilities, evangelizes editorial standards, analyzes performance and SEO data, and manages content calendars, production timelines, and cross-functional stakeholders.

Lead complex customer migrations to Snowflake from assessment through optimization. Own migration strategies, delivery quality, client relationships, project plans, metrics, escalations, and stakeholder communications. Partner with Professional Services, Sales, Engineering, Product Management, Marketing, customers, system integrators, and technology vendors to improve migration offerings, support sales pursuits, develop best practices, and identify Snowflake adoption and upsell opportunities.

Lead the architecture and delivery of high-throughput, customer-facing file ingestion services and APIs across AWS, Azure, and GCP. Define technical strategy, ensure reliability, security, scalability, and low latency, and drive architectural reviews. Partner with product, security, architects, customers, and external platforms to deliver integrations. Mentor engineers, resolve complex production issues, and translate customer feedback into scalable platform capabilities.

Lead complex technical programs across engineering and product teams, from definition through delivery. Partner cross-functionally to build scalable, high-performance cloud platform services, provide data-driven technical judgment, improve engineering execution, and mentor program management and engineering communities. The role requires managing ambiguity, coordinating technical and business stakeholders, and driving productivity through tools and lightweight processes.

Lead the Snowpark software engineering team in building a scalable, cloud-native compute platform for AI, machine learning, data science, and data engineering workloads. Provide technical strategy, manage complex projects, improve product reliability and service health, address team skill gaps, and mentor engineers. The role requires experience with large-scale distributed systems, software engineering management, cloud-native architectures, and serverless compute platforms.

Own complex, cross-team ML/AI programs from planning through launch. Partner with engineering, research, product, infrastructure, security, legal, and compliance teams to manage roadmaps, dependencies, experimentation cycles, evaluations, risks, governance, and launch readiness. Coordinate customer-facing AI feature launches, resolve execution bottlenecks, communicate status to senior leadership, and establish processes supporting responsible AI, model performance, and scalable delivery.

Owns Snowflake’s public-sector compliance program, maintaining FedRAMP authorization artifacts, POA&Ms, contingency and incident response plans. Coordinates 3PAO assessments and continuous monitoring, advises technical teams on federal and DoD security requirements, conducts compliance gap analyses, develops remediation roadmaps, and responds to customer and regulator inquiries. The role also drives cross-functional control implementation and uses AI to streamline compliance workflows.

Partner with Solution Engineering leadership to diagnose skill gaps, design and deliver technical enablement experiences, validate and curate content, measure behavior change, and scale learning across the field. Translate product and field signals into targeted interventions, build technical enablement assets, and align activation to release cadence and business outcomes.

Define and drive the architecture of Snowflake’s OLTP systems across databases, storage, compute, and cloud infrastructure. Lead decisions involving transactions, concurrency, replication, recovery, scalability, isolation, and high availability. Design transactional primitives for AI agents, including ephemeral environments, checkpointing, rollback, and safe state management. Influence multiple engineering teams, mentor engineers, collaborate with executives and customers, and guide complex systems from architecture through production.