Jobs at Snowflake

Develops business intelligence reporting, financial data pipelines, scalable data models, and AI-driven applications for Product Finance. Uses SQL, Python, and BI tools to analyze cloud spending, automate financial workflows, identify cost anomalies, forecast spend, and generate executive insights. Partners with Finance, Engineering, and Data teams to deploy scalable analytical and generative AI solutions.

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.

Build scalable backend services, distributed systems, APIs, and platform infrastructure for production AI and agentic applications. Develop reusable agent frameworks, evaluation pipelines, SDKs, and Python libraries while improving CI/CD, testing, observability, security, reliability, and cost efficiency. Use Snowflake’s AI ecosystem to deliver intelligent internal products, collaborate with cross-functional stakeholders, and establish engineering best practices for enterprise AI systems.

Build and ship production-quality mobile features for Snowflake’s AI products using React Native and TypeScript. Own features from design through App Store and Play Store release, contribute to mobile and web architecture, integrate APIs and backend services, and collaborate with product managers, designers, and engineering teams. Use AI coding assistants in daily development while supporting scalable, maintainable user experiences.

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.

Design and optimize Snowflake’s marketing data architecture and MarTech ecosystem across Salesforce, Marketo, Snowflake, Hightouch, Clay, and related platforms. Own Marketo-to-Snowflake synchronization, segmentation, lead routing, lifecycle workflows, integrations, data quality, governance, and stack rationalization. Partner with GTM and Data Engineering teams to troubleshoot complex systems issues and implement scalable technical standards supporting automation and AI-powered marketing.

Own planning, forecasting, budgeting variance analysis, recurring reporting, and performance analysis for global marketing programs. Partner with Growth Marketing and senior leaders to evaluate investments, pipeline generation, bookings, and consumption growth. Translate complex financial and marketing data into actionable recommendations, improve reporting processes through automation and AI, and use Snowflake’s platform to increase productivity and strategic impact.

Develop AI-driven migration capabilities for SnowConvert, including code conversion, data migration, validation pipelines, and automated testing. Build reliable foundations and APIs for agentic AI systems, collaborate with AI and field engineering teams, and optimize distributed data pipelines for performance, scalability, and cost efficiency.

Build scalable, responsive frontend experiences for Snowflake Cortex AI. Develop production-quality TypeScript and React interfaces, integrate APIs supporting AI inference and data retrieval, participate in architecture and code reviews, collaborate with product and design teams, and optimize frontend performance and reliability. The role also involves using AI coding assistants as part of daily development and may include building LLM-powered applications or conversational interfaces.

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.

Designs and develops AI/ML observability systems, large-scale data processing infrastructure, storage, data movement, and machine learning platform capabilities. The role supports reliable training, deployment, monitoring, model evaluation, explainability, and Generative AI use cases. Responsibilities include technical leadership, performance optimization, reliability improvements, database and compiler development, enterprise software engineering, Java application development, SQL, testing, debugging, and documentation.

Executes IT internal controls assessments, SOX compliance activities, internal audits, and investigations. Designs data-driven audit procedures using SQL, Python, and AI tools; evaluates cloud infrastructure, IAM, encryption, network security, SDLC, CI/CD, and compliance frameworks. Assesses control deficiencies, recommends remediation and compensating controls, supports audit planning through reporting, and partners with Engineering, Product, managers, and stakeholders to improve processes and controls.

Negotiate and close complex AI, SaaS, cloud, and strategic technology partnership agreements. Advise senior stakeholders on legal and business risks, develop contracting templates and playbooks, manage deal workflows, and collaborate with product, engineering, privacy, security, finance, tax, and compliance teams. The role also monitors evolving AI and data regulations, mentors colleagues, and improves legal workflows using AI tools.

Manage end-to-end global mobility, immigration, relocation, and international assignment processes across the U.S., NORAM, EMEA, and APAC. Partner with vendors, HR stakeholders, recruiters, managers, and employees; ensure regulatory compliance; handle complex cases; develop policies and training; benchmark best practices; improve processes and metrics; and support global mobility projects in a fast-growing organization.

Leads end-to-end planning, execution, and optimization of major events, including venues, executive programming, tradeshows, vendors, budgets, logistics, and on-site delivery. Manages cross-functional teams, timelines, documentation, risk mitigation, speaker coordination, and event operations. Conducts post-event analysis and reporting to improve future programs and inform leadership decisions.

Leads a 20+ person Analytics Engineering organization responsible for revenue, bookings, people analytics, and go-to-market data pipelines. Sets technical strategy, drives data transformation and governance, owns internal analytics agents and semantic layers, advances AI-assisted engineering, and partners with Product, Engineering, GTM, and business stakeholders. The role also supports customer conversations, thought leadership, cross-functional roadmaps, and enterprise-scale data initiatives.

Lead Snowflake’s global developer social media strategy across owned, paid, and earned channels. Responsibilities include creating technical content, managing social campaigns and flagship event coverage, engaging developer communities, directing creative development, coordinating cross-functional stakeholders, and delivering performance reporting. The role also leads paid social initiatives, develops KPIs, improves operational efficiency, and manages complex programs from strategy through execution.

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.