Snowflake

Principal Software Engineer for Snowflake's AI team, focusing on building and scaling customer-facing AI Functions product, a key Cortex Platform feature. The role involves designing and implementing highly scalable distributed platforms for AI ETL pipelines, ensuring operational readiness, and collaborating across teams to deliver AI services reliably at scale within the Snowflake ecosystem.

Senior Manager of Data Science to lead high-impact analytics and AI initiatives across Snowflake’s Go-To-Market organization, focusing on translating business problems into data science solutions to improve pipeline, conversion, and customer growth. The role involves managing a team, partnering with GTM stakeholders, and driving experimentation.

Snowflake is seeking a Principal Data Cloud Architect to power the era of the agentic enterprise. This role focuses on enabling partners to build and deploy AI-native solutions on the Snowflake Data Cloud. The architect will provide technical expertise, training, and architectural best practices to partners, helping them develop SaaS native apps, optimize data models, and build Gen AI applications. Key responsibilities include running training sessions, developing technical strategies for partners, and assisting with the deployment of ML models within Snowflake.

Senior Data Scientist role focused on building and operating production forecasting systems for financial metrics like revenue and bookings in a consumption-based business. The role involves developing scalable statistical and machine learning models, ensuring forecast accuracy, stability, and explainability, and partnering with various teams to improve forecast quality and operational trust. Requires strong modeling depth, production rigor, and ownership.

This role focuses on enabling System Integrator (SI) partners to successfully deploy AI/ML solutions on the Snowflake AI Data Cloud. The Principal Data Cloud Architect will guide partners through technical wins, production deployments, and the development of AI/ML use cases using Snowflake's Cortex AI and ML capabilities. The role involves strategic account alignment, building partner practices, developing joint solutions, and mentoring junior architects, with a strong emphasis on accelerating the adoption and operationalization of AI/ML by customers through their SI partners.

Senior Data Scientist role focused on building and deploying production-grade forecasting systems for core financial metrics at Snowflake. The role involves applying advanced time-series and probabilistic ML techniques, contributing to internal tooling, establishing best practices for model evaluation, and mentoring other data scientists. It operates at the intersection of machine learning, statistical research, and corporate finance.

Engineering Manager to lead a team building an AI-powered engine for migrating enterprise data applications and logic to Snowflake, focusing on understanding and rewriting code logic.

Principal Software Engineer II on the Product Security team responsible for the security posture of Snowflake products, with a focus on embedding security into the product lifecycle, driving security strategy across domains including AI security, and designing/developing frameworks and services to secure the platform and customer data. The role involves defining and influencing long-term security strategy, mitigating AI-related threats, and leveraging AI to enhance overall security.

This role focuses on empowering System Integrator (SI) partners to successfully deploy AI/ML solutions on the Snowflake AI Data Cloud. The Senior Data Cloud Architect will guide partners through technical wins, production deployments, and building their AI/ML practices. Key responsibilities include strategic account alignment, developing rapid deployment frameworks, building partner capabilities, creating joint solutions, and providing hands-on expertise with Snowflake's Cortex AI and ML capabilities for various gen AI customer journeys.

This role is for a Senior Technical Support Engineer focused on an AI-powered observability platform. The engineer will provide expert-level technical support, troubleshoot complex issues, partner with engineering on performance, help design and build AI skills to enhance support productivity, manage escalations, create documentation, and mentor junior engineers. The role requires strong technical expertise in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, along with excellent problem-solving and communication skills.

Senior Software Engineer role focused on building the frontend for an AI-powered observability platform. The role involves developing interactive UIs with React, TypeScript, and Vega, integrating LLM-driven features like natural language querying and generative UI, and ensuring high reliability and low latency for AI outputs. The engineer will collaborate with PMs, UX designers, and AI/ML engineers, and champion the use of AI-assisted development tools.

Senior Forward Deployed Engineer to embed with customers, modernize their data and application ecosystem using Snowflake AI Data Cloud, and design, build, and implement cutting-edge data solutions. Focus on enabling customers to harness data for insights and AI initiatives, acting as a technical advisor.

Seeking an AI/ML Solution Engineer to provide technical guidance and architectural design for the Snowflake Cloud Data Platform within the Healthcare & Life Sciences sector. This role involves working with sales teams and customers to understand AI/ML needs, strategize sales cycles, deliver demonstrations, support Proof of Concepts, and close business, leveraging expertise in data ingestion, transformation, and lakehouse workloads.