Jobs at Snowflake

As a Senior Software Engineer for AI products, you will own features across the stack, develop the AI SRE product, create integrations, and collaborate on user experience while ensuring technical quality.

Design, implement, and operate petabyte-scale, fault-tolerant distributed database systems. Build query optimization and distributed data-processing algorithms, diagnose performance/scalability bottlenecks, deliver end-to-end projects, ensure operational readiness, mentor junior engineers, and develop tools to surface workload insights.

In this role, you will design and operate scalable cloud infrastructure, maintain CI/CD pipelines, improve system reliability, and respond to incidents, while collaborating with engineering teams at Observe by Snowflake.

Lead architecture, roadmap, and delivery for AI Functions embedded in SQL. Drive design and implementation of AI/LLM infrastructure and large-scale query processing, hire and mentor senior engineering leaders, collaborate cross-functionally, and improve engineering efficiency to operationalize AI at scale.

The Senior Product Manager for Data Observability will define product strategy, lead cross-functional teams, and oversee development of AI-powered data monitoring and quality solutions.

Lead AI-native business operations for Strategic Finance, coordinating cross-functional commercial launches and strategic deals. Ship AI-assisted workflows, run launch readiness and portfolio reviews, scale deal alerts and tooling, manage intake/RACI/status cadences, surface execution risks, and produce executive-ready communications to drive timely decisions and flawless commercial outcomes.

Lead front-end architecture and design system work to create polished, highly interactive UI components. Embed with feature teams, drive adoption, own technical roadmaps, and ensure accessibility and visual/interaction quality across Snowflake's design system.

Customer-facing Solution Engineer partnering with Sales to architect scalable data and AI solutions. Lead AI strategy conversations, design and demo solutions using SQL and Python, run enterprise POCs, translate technical concepts to business outcomes, and influence stakeholders in complex sales cycles.

Manage global sales commission programs: design competitive structures, analyze plan effectiveness, resolve commission issues, drive process improvements, coordinate cross-functional deliverables, and deliver insights to leadership.

Lead end-to-end, multi-channel campaigns that drive practitioner adoption (data/ML engineers). Own audience segmentation, asset assembly, execution across owned/paid/in-product/partner channels, instrument learning, measure activation and retention, and share insights with product, marketing, and account teams.

Build and improve an AI-native virtualization platform that makes applications work on Snowflake. Work spans AI-driven software synthesis, query parsing/optimization, wire protocols, and data ingest/egress. Collaborate with product, solutions, and field engineering to enable customer migrations and define AI-based engineering processes.

Lead multiple engineering teams to design and deliver Snowflake's OLTP database platform. Set technical strategy, drive architecture and reliability for transactions, concurrency, storage, replication, and scalability. Recruit and develop leaders, ensure operational readiness, and apply AI-assisted development to improve velocity and quality across design, implementation, and production operations.

Design, build, and operate secure, scalable cloud infrastructure and identity platforms across AWS and Azure. Implement and manage IAM/IGA, SSO/MFA, federation protocols, and identity lifecycle automation. Build infrastructure-as-code and integrations with Terraform and languages (Python, Go, PowerShell). Implement security controls (Zero Trust, secrets and key management) for AI systems, support production services on Kubernetes, and drive reliability through monitoring, automation, and incident response.

Senior pre-sales engineer partnering with sales and channel partners to run technical demos, lead POCs, design solutions, and close large deals. Present to executives and technical audiences, build cloud ML/generative AI solutions, and advise on data architecture and Snowflake positioning.

Lead and scale a global AI Solutions engineering organization; define technical vision; design, build, and deliver enterprise-grade AI/ML solutions using Snowflake Cortex and Snowflake ML; partner with Fortune 100 customers and GTM teams; recruit and mentor managers; influence product roadmaps and budgets; drive best practices and continuous improvement across AI methodologies.

In this role, you will lead the AI engineering lifecycle for Snowflake Database Engineering products, enhancing workflows and collaborating to address customer needs.

Develop and maintain Workday integrations, ensuring seamless data flow across systems, provide production support, and enhance integration performance.

Lead end-to-end product lifecycle for enterprise AI services: define vision and roadmap, engage customers, drive cross-functional execution with engineering, design, and GTM to scale bespoke AI solutions into repeatable platform features.

Partner with Marketing leadership to translate data into business outcomes: build and maintain GTM data models and pipelines (SQL, dbt, Snowflake), influence pipeline and ROI decisions, implement AI-driven analytics and automation, ensure data quality across Salesforce/Marketo, and represent analytics work externally.

Lead and scale a high-performing Sales Development team (8 SDRs) to hit new-business pipeline goals, recruit and develop SDR talent into AEs, partner cross-functionally to optimize campaigns and ramp time, and use data-driven analysis to improve top-of-funnel metrics and pipeline quality.