Snowflake

This role is for a Principal Solution Engineer focused on Wealth & Asset Management in the UK market. The primary function is to work with sales teams and partners to understand customer needs, strategize solutions using Snowflake technology, and help customers choose Snowflake. While the role involves understanding and presenting AI capabilities as part of Snowflake's offering, the core responsibility is solution engineering and sales enablement, not direct AI/ML model development or deployment.

This role is for a Commercial Solution Engineer in the French market who will work with customers to understand their needs, strategize on how to best support them in their evaluation, and help them choose Snowflake as their solution. The role involves presenting Snowflake's technology and vision, working hands-on with customers, creating technical champions, and collaborating with internal teams and partners.

This role is for a Senior Recruiting Coordinator at Snowflake, a company focused on the 'agentic enterprise'. While the company emphasizes AI and the role mentions leveraging AI-assisted tools, the core responsibilities are in recruiting operations, not AI/ML development. The role supports recruiters and hiring managers, manages interview logistics, maintains ATS data, and assists with onboarding. The ideal candidate needs strong coordination, communication, and organizational skills, with business-level proficiency in English and Japanese. The role is AI-adjacent as it uses AI tools to improve recruiting efficiency.

Snowflake is seeking a Senior Solution Engineer for the Belgian market to work with customers and sales teams to understand customer needs, strategize solutions, and help customers choose Snowflake. The role involves presenting Snowflake's technology, demonstrating value, building technical champions, staying updated on industry trends, and collaborating with internal teams and partners. The ideal candidate has solution engineering experience, strong presentation and communication skills, and an understanding of data architecture, analytics, and cloud technology. Experience with AI/ML technologies is preferred.

Customer-facing Solution Engineer at Snowflake, partnering with Sales to guide customers from data to AI impact. Responsibilities include leading AI strategy conversations, designing and demonstrating data/AI solutions using SQL and Python, supporting enterprise Proof of Concepts, translating technical concepts to business outcomes, navigating sales cycles, and leveraging AI tools for demos. Requires oil & gas industry experience, strong SQL, Python for analytics/ML, familiarity with AI/ML concepts (GenAI, LLMs), and excellent communication/influencing skills.

This Principal Engineer role focuses on building the next generation of cloud security infrastructure, specifically Data Exfiltration Protection (DXP) and Data Movement Policy (DMP) systems. The role involves architectural leadership, defining roadmaps, unifying security policies, and designing high-scale distributed systems. While the company emphasizes an 'AI-native' approach and mentions using AI models for productivity, the core function of the role is in security infrastructure and policy enforcement, not direct AI model development or deployment as a product feature.

Software Engineer role focused on building and scaling core features, APIs, and business logic for an AI-powered observability platform called Observe by Snowflake. The platform uses AI to provide rich context and automated workflows for faster issue detection and resolution, leveraging Snowflake's AI Data Cloud. The role involves working with massive volumes of telemetry data and enterprise customers.

Senior Software Engineer role focused on Identity and Access Management (IAM) at Snowflake, with a strong emphasis on integrating AI security capabilities and managing access for agentic workflows. The role involves designing and implementing authentication, authorization, and access control systems for secure data sharing and application access within Snowflake's Data Cloud, ensuring customer trust and security.

Senior Software Engineer for an AI-powered observability platform. The role involves building and scaling core features, APIs, and business logic for a high-performance platform that processes massive volumes of telemetry data. The engineer will own systems end-to-end, contribute to the data lakehouse model, and collaborate with various teams. A key aspect is partnering with SREs and customer-facing teams to diagnose production issues using AI-assisted workflows.

Senior Software Engineer for Snowflake's Observe platform, focusing on the Metrics Platform. This role involves owning and improving components of the metrics pipeline, contributing to next-generation systems, and resolving customer-reported performance issues. The platform is AI-powered and built on the Snowflake AI Data Cloud.

This role focuses on optimizing the query execution service for an AI-powered observability platform. The engineer will be responsible for improving query performance, caching strategies, and incremental execution, as well as diagnosing and resolving customer-reported latency issues. The role requires deep expertise in distributed systems and database performance at scale, with a focus on ensuring the reliability and efficiency of the platform.

This role focuses on driving co-sell objectives with Cloud Service Provider (CSP) partners by supporting customer success through use case wins, product integration launches, field enablement, and joint marketing. The Cloud Partner Solutions Engineer will own hyperscaler partnerships, combining technical credibility with business acumen to achieve measurable outcomes. Key responsibilities include developing joint GTM strategies, building integrated solutions, leading joint planning, driving co-sell execution in top accounts, delivering packaged POCs and workshops (including Cortex AI + cloud LLM services), and enabling partner field teams. The role requires technical depth in areas like Cortex AI, Iceberg, and cross-cloud architectures, enabling solutions integrating Snowflake with AWS, Azure, and GCP AI and data services.

Account Executive role focused on acquiring new enterprise customers in the FSI sector, leveraging AI as a collaborator to drive sales and redefine work processes.

Engineering Manager to lead the Snowtrail infrastructure team, which enables Snowflake to deliver dedicated coverage for customer-specific workloads. This involves query replay and leveraging ML models to optimize cost and performance, essential for platform reliability and correctness.

Senior Frontend Software Engineer for Snowflake Notebooks, a development interface for data analysis, ML model development, and data science tasks. The role involves driving high-impact initiatives, promoting collaboration, delivering features, contributing to product vision, and building for scale and high performance. Requires 7+ years of frontend/full-stack experience, understanding of modern web application architecture, and technical leadership. Knowledge of data development tools, data infrastructure, or ML is a plus.

Commercial Solution Engineer for Snowflake's AI Data Cloud, focusing on demonstrating and strategizing customer adoption of AI/ML features, Cortex AI, Snowflake Cortex Agents, and agentic AI workflows. The role involves presenting AI/ML vision, designing agentic workflows, and helping customers modernize to AI-first architectures leveraging vector search, RAG, and real-time inference. Requires familiarity with AI/ML concepts, LLMs, RAG, vector databases, and agentic patterns, with preferred experience in Python AI/ML libraries and building LLM applications or AI agents.

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.

This role is for a Senior Technical Support Engineer on the Observe by Snowflake team, an AI-powered observability platform. The role involves providing expert-level technical support, troubleshooting complex issues, partnering with engineering on performance, and helping to design and build AI skills to improve support productivity. It requires strong technical skills in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, with a focus on customer success and process improvement.

Snowflake is seeking a Solution Engineer - Data Engineering Specialist to provide technical leadership in designing and architecting the Snowflake Cloud Data Platform for enterprise clients. This role involves working with sales teams, demonstrating Snowflake's capabilities in data ingestion, transformation, and lakehouse workloads, and supporting customers through the sales cycle.

Snowflake is seeking a Senior Solution Engineer for the UK market to work directly with the account sales team and channel partners to understand customer needs, strategize on how to best support them in their evaluation, and ultimately help customers choose Snowflake as their solution. The role involves presenting Snowflake's technology and vision, working hands-on with prospects, creating technical champions, and staying updated on industry trends and competitive technologies.

Snowflake is seeking a Solution Engineer for the UK market to help customers solve complex problems using Snowflake's technology. The role involves working with sales teams and partners to understand customer needs, demonstrate Snowflake's value, and strategize on solutions. The engineer will present Snowflake's technology and roadmap, conduct demos and proofs of concept, and collaborate with internal teams and partners. The ideal candidate has experience in solution engineering or architecture within a SaaS environment, strong presentation skills, and an understanding of data architecture, analytics, and cloud technology, with hands-on SQL experience. Experience with AI/ML technologies is preferred.

The Associate Solution Engineer will partner with account teams to understand customer needs, strategize on technical evaluations, and demonstrate Snowflake's value for the AI Data Cloud. This role requires a strong technical foundation, coachability, curiosity, and communication skills, with a preference for hands-on AI/ML expertise or significant experience with Snowflake.

Associate Solution Engineer role focused on partnering with account teams to understand customer needs, strategize on technical evaluations, and demonstrate Snowflake's value for the AI Data Cloud. The role involves presenting the technology story, conducting deep-dive demos and POCs, advising customers on efficient usage, and collaborating with internal teams to refine the product roadmap. While not strictly an AI building role, it requires a strong understanding of AI/ML concepts and how Snowflake enables AI initiatives for enterprises.

Solution Engineer specializing in Data Engineering for the Financial Services industry, focusing on Snowflake's Cloud Data Platform. The role involves technical leadership in designing and architecting solutions for enterprise customers, working closely with sales teams to understand needs, provide demonstrations, support Proof of Concepts, and close business. Responsibilities include leveraging expertise in data ingestion, transformation, and lakehouse workloads, and collaborating with various internal teams.

This role is for an Auditor focused on SOX compliance and operational audits within a company that is embracing AI. The auditor will leverage company products and collaborate on automation projects, assess control deficiencies, and contribute to risk assessment. While the company is AI-focused and encourages AI use, the auditor's core function is not building AI models but rather ensuring compliance and operational efficiency, potentially using AI tools.

This is an internship role for a Data Engineer at Snowflake, focusing on building and scaling data infrastructure and AI-driven automation. The intern will develop technical tools and programming that leverage AI/ML and big-data techniques to manage, store, and utilize data, with a focus on automating data pipeline creation and designing AI/ML-powered applications for automated insights. The role involves working with data platforms, AI-driven automation, observability, and data engineering excellence.

Software Engineer for the Data Intake team at Snowflake, focusing on building the agent, ingestion infrastructure, and in-product onboarding experience for an AI-powered observability platform. The role involves contributing to a custom OpenTelemetry collector distribution, designing control-plane APIs, and debugging complex ingestion issues to ensure data flows correctly to the Observe platform.

Manager of Solution Engineering for Snowflake's Retail & Consumer Goods sector, leading a team to provide value-based evaluation scenarios (demos, labs, POCs). This role partners with sales to understand enterprise customer needs, strategize sales cycles, and close business. It involves team leadership, go-to-market strategy, customer feedback escalation, and acting as a player/coach for presentations.

Senior Software Engineer for Snowflake's Observe Data Management team, focusing on building and scaling high-throughput data ingestion and processing pipelines for an AI-powered observability platform. The role involves developing performance-critical distributed systems in Go/C++, contributing to OpenTelemetry, and ensuring enterprise-grade availability for petabyte-scale telemetry data.

Senior Software Engineer for Snowflake's Production Control Plane team, focusing on building and scaling cloud infrastructure deployment, provisioning, and lifecycle management. The role involves technical leadership, mentoring, and applying infrastructure and software engineering principles to a highly scalable platform. While the company emphasizes an AI-native mindset and the use of AI tools in development, the core responsibilities are in platform engineering and cloud infrastructure, not direct AI/ML model development.

Senior Technical Support Engineer for Snowflake's AI-powered observability platform, Observe by Snowflake. The role involves providing expert technical support, troubleshooting complex issues, partnering with engineering on performance, and helping to design and build AI skills to enhance support productivity. Requires strong technical expertise in SaaS, DevOps, observability, scripting, cloud platforms, and Kubernetes, with a focus on customer success and process improvement.

This role is for a Senior Solution Engineer in the Healthcare & Life Science domain at Snowflake. The primary focus is on working with sales teams and partners to understand customer needs, provide compelling demonstrations, support proofs of concept, and close deals. While the role requires experience in building and deploying ML/GenAI solutions, its core function is pre-sales and customer-facing technical support, not direct AI model development or deployment as a primary deliverable.

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 Data Analytics Engineer for Snowflake's internal data platform, focusing on powering analytics for Finance, Sales, and HR. The role involves shaping platform architecture, leading data initiatives, ensuring data governance, and driving adoption of AI-assisted data workflows using LLM-powered tools and Cortex Agents. Requires deep expertise in Snowflake, dbt, and AI development tools.

Senior Data Analytics Engineer for Snowflake's internal data platform, focusing on powering analytics and driving adoption of AI-assisted data workflows. The role involves shaping data platform architecture, leading cross-functional initiatives, implementing governance, and setting technical standards, with a strong emphasis on integrating LLM-powered tools and agent frameworks.

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.

This role is for a Principal Solution Engineer in Financial Services at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires experience in pre-sales, presenting technology, and a strong understanding of ML/GenAI solutions, with an emphasis on leveraging AI tools to accelerate productivity and connect customer business problems with Snowflake's solutions. While the role uses AI tools and requires experience in building AI solutions, its primary function is sales enablement and customer engagement, not direct AI model development or research.

Senior Solution Engineer role focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting PoCs, and closing business for Snowflake's data solutions. The role requires a strong technical and business background, with an emphasis on AI landscape curiosity and leveraging AI code generation tools.

Seeking a Senior Solution Engineer to work with sales teams and channel partners to understand customer needs, strategize sales cycles, provide demonstrations, support Proof of Concepts, and close business. The role requires a deep understanding of Snowflake technology, competitive landscape, and the ability to connect customer business problems with Snowflake solutions. The candidate should have a proactive curiosity for the AI landscape and leverage AI code generation tools.

Senior Solution Engineer role at Snowflake, focused on understanding customer needs, demonstrating Snowflake's value, and closing deals. The role involves working with sales teams and channel partners, providing technical expertise, and supporting proof of concepts. It emphasizes a proactive curiosity for the AI landscape and leveraging AI tools for productivity.

Senior Solution Engineer for Snowflake, focusing on the 'agentic enterprise' era. This role involves understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The ideal candidate will have a strong technical background, experience in pre-sales, and a proactive curiosity for the AI landscape, including leveraging AI code generation tools.

Solution Engineer role focused on helping customers understand and utilize Snowflake's data and AI platform. Responsibilities include providing technical expertise, building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation, working closely with sales, product, and engineering teams.

This role involves building analytical models and benchmarking frameworks using platform usage signals to understand customer efficiency and identify opportunities for optimization. It requires expertise in data engineering, unsupervised ML for constructing peer groups, and statistical rigor to handle complex datasets. The goal is to translate raw signals into data-driven insights for customer advisory assets and field teams.

Senior Solution Engineer for Financial Services at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role involves working with sales teams and channel partners, presenting Snowflake technology, and collaborating with internal teams. Requires experience in pre-sales, presenting to technical and executive audiences, and building/deploying ML and generative AI solutions in the cloud. Must have a proactive curiosity for the AI landscape and leverage AI code generation tools.

Senior Solution Engineer at Snowflake, focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business. The role requires a deep understanding of Snowflake technology, competitive landscape, and the ability to connect customer business problems with Snowflake's solutions. A proactive curiosity for the AI landscape and leveraging AI code generation tools are expected.

This role is for a Senior Solution Engineer focused on Federal clients. The primary responsibility is to work with the sales team and channel partners to understand customer needs, strategize sales cycles, provide demonstrations, support Proof of Concepts, and close business. While the role involves understanding and discussing AI technologies with customers and leveraging AI code generation tools, its core function is sales enablement and customer solutioning, not direct AI/ML model development or deployment.

This role focuses on building and operating systems to protect the Snowflake platform from abuse, misuse, and fraud, leveraging security engineering, data analytics, and machine learning. The engineer will design and deploy anti-abuse controls, research new services, and assess risks within applications and features.