Snowflake

This role is for a Sr. Integrations Developer on the People Systems team, responsible for designing, building, and maintaining integrations between Workday and other systems, including Snowflake. The role involves partnering with stakeholders, providing production support, ensuring data accuracy and security, and leveraging AI tools to enhance development and troubleshooting. While the company is focused on the 'agentic enterprise' and encourages experimentation with AI tools, the core function of this role is traditional systems integration, not direct AI/ML model development.

Senior Solution Engineer for Snowflake's enterprise customers in Singapore, focusing on Financial Services and Telecommunications. The role involves driving adoption, designing solutions, leading POCs, and acting as a technical advisor to senior stakeholders, guiding them on using Snowflake for data, analytics, and AI strategies. This is a field-facing role requiring deep technical skills, industry context, and the ability to communicate complex technical capabilities into business value.

Seeking a Sourcing Manager to lead a talent acquisition team, design sourcing strategies, and optimize recruitment processes using AI-driven workflows. This role involves strategic business partnership, lifecycle auditing, and managing the recruitment tech stack, with a focus on attracting world-class talent for an AI-focused company.

Engineering Manager for Snowflake's Transformation & Data Lake, focusing on the interoperable metadata and transaction foundation for Lakehouse, including Iceberg tables and catalog integrations. The role involves building core platforms that enable open-format workloads and AI Data Cloud capabilities, with a specific mention of AI-enabled pipeline authoring and streamlining experiences.

Snowflake is seeking a Senior Manager for Solution Engineering to lead a team of Stockholm-based Solution Engineers. This role involves partnering with sales leadership, understanding customer needs, strategizing sales cycles, providing demonstrations, supporting POCs, and closing business. The manager will also play a hands-on role in building and running the team, acting as a player/coach.

Senior Forward Deployed Engineer embedded with customers to modernize their data and application ecosystem using Snowflake AI Data Cloud, focusing on Spark and Data Engineering workloads. Designs, builds, and implements data solutions, pipelines, and architectures, optimizing performance and enabling customers to leverage AI/ML capabilities.

Snowflake is seeking Senior Solution Engineers to join their field teams. The role involves providing technical expertise to customers, understanding their business problems, and demonstrating how Snowflake's data platform can solve them. This includes building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation. The role requires strong customer-facing and technical skills, with a deep understanding of the complete data stack and workflow. While not directly building AI models, the role is adjacent to AI, focusing on enabling customers to utilize AI and data platform capabilities.

Snowflake is seeking a Patent Analyst to manage and grow their patent portfolio within the IP Legal team. This role involves working with engineering teams to identify patentable inventions, conducting prior art searches, managing patent prosecution with outside counsel, and analyzing technical and competitive information. The position emphasizes leveraging and developing internal AI tools to streamline legal workflows and requires a strong understanding of software, cloud technologies, data warehousing, analytics, and AI.

Principal Software Engineer II to architect the core data processing engine of the Snowflake Data & AI Cloud, focusing on building distributed systems and atomic primitives for agentic workflows. This role involves designing and implementing stateful stream processing, incremental view maintenance, and distributed orchestration, enabling low-latency, high-throughput data transformations at scale for autonomous agentic loops and modern data processing.

This role is for a People Systems Analyst focused on Workday, with a requirement to leverage AI tools to improve and operationalize tasks and processes. The candidate should have experience experimenting with and building solutions using AI tools.

Solution Engineer role focused on driving AI Data Cloud adoption by understanding customer needs, demonstrating Snowflake technology, and closing deals. Requires pre-sales experience, strong understanding of AI/ML use cases, and familiarity with modern AI/LLM ecosystems like RAG and frameworks like LangChain and Hugging Face.

Account Executive for Snowflake's Enterprise sales team, focusing on net new business and customer acquisition in Latin America. The role involves prospecting, developing, and closing business, acting as a trusted advisor to clients, and achieving sales quotas. Requires experience selling technical solutions into the enterprise market, with a focus on Data Warehousing, Business Intelligence, Data Science, and/or AI/ML.

Senior Solution Engineer role 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 and its positioning against competitors, with collaboration across Product, Engineering, and Marketing. Requires extensive experience in large-scale database, data warehousing, ETL, analytics, and cloud technologies, with hands-on SQL, SQL analytics, and Python expertise.

Senior Solution Engineer role at Snowflake, focused on understanding customer needs, demonstrating Snowflake's value, and closing deals. The role emphasizes working with sales teams and partners, providing technical expertise, and collaborating with internal teams. It requires a strong understanding of data warehousing, cloud technologies, SQL, and Python, with a proactive curiosity for AI and leveraging AI tools.

This Solutions Architect role focuses on helping customers leverage Snowflake's data platform, which is increasingly powering the 'agentic enterprise'. The role involves post-sales customer engagement, guiding them through data journeys, solution design, and integration with broader data architectures. While AI is mentioned as a context for the 'agentic enterprise', the core responsibilities revolve around data platform implementation, data warehousing, and data engineering, rather than direct AI/ML model development.

Senior Solution Engineer for Snowflake UK, focusing on understanding customer needs, strategizing solutions, and demonstrating Snowflake's value throughout the sales cycle. The role involves working with sales teams, channel partners, and customers to solve complex data challenges and drive adoption of Snowflake's platform, particularly in the context of the 'agentic enterprise'. While not directly building AI models, the role is expected to be AI-native, use AI as a collaborator, and help customers evaluate and implement AI-related solutions on Snowflake.

This role is for a Senior Software Engineer on the Customer Experience Engineering Team at Snowflake. The team focuses on building intelligent data applications to provide insights into diagnostic data and technical content relevant to customer issues. The engineer will lead projects, collaborate with cross-functional teams, deliver features, contribute to product vision, and mentor junior members. The role requires strong software engineering experience, modern application design knowledge, expertise in programming languages like Python or Java, and experience with best practices. While the company emphasizes AI and an 'agentic enterprise' vision, this specific role is focused on building features within the Snowflake product to reduce customer friction and extract intelligence from data, rather than directly building or researching AI models.

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.

Snowflake is seeking a Regional VP, Partner Solution Engineering (APJ) to lead a team of technical experts focused on empowering their partner ecosystem. This role involves driving technical strategy and go-to-market execution across various partner tiers (GSIs, CSPs, DCPs, Strategic Alliances) to ensure Snowflake's Data Cloud remains the foundation for digital transformation. The VP will lead Partner Solution Engineers, collaborate with internal teams (Sales, Pre-Sales, Marketing, Services) and external partners, and play a hands-on role in building the team and owning P&L responsibilities. Responsibilities include driving customer/partner engagements, building reference architectures, providing thought leadership in AI Data Cloud, acting as an escalation point, driving product roadmaps, and managing operational excellence. The role requires 15+ years of industry experience in pre-sales/customer-facing roles with 4+ years of management experience, broad knowledge of data warehousing/BI technologies, cloud architectures, and experience architecting solutions with various vendor technologies including AI/ML platforms.

This is an Account Engineer Intern role focused on accelerating customer adoption of the Snowflake AI Data Cloud. The intern will support customers in achieving rapid implementation and quick value, developing solutions, and contributing to customer success. The role involves understanding customer problems, communicating technical concepts, and leveraging AI-powered development tools. While the company is heavily invested in AI, the intern's role is customer-facing and solution-oriented, not directly building AI models.

Engineering Manager for Observe Product Backend at Snowflake, leading a team to build core observability features (log analytics, metrics, APM, tracing) on their AI-powered data platform. The role involves defining features, driving execution, mentoring engineers, and ensuring end-to-end product delivery in a fast-paced, enterprise SaaS environment.

Snowflake is seeking Senior Solution Engineers to join their Global field teams. This role involves working with customers to understand and utilize their data platform, focusing on AI-native thinking and treating AI as a collaborator. The Solution Architect will partner with Sales, Product, Engineering, and Marketing to provide technical expertise, accelerate customer journeys, and uncover new use cases. Responsibilities include presenting Snowflake's technology, conducting demos and proofs-of-concept, collaborating with internal teams, and running training sessions. The role requires a strong background in modern data stacks, SQL, Python, and customer-facing solution engineering, with a preference for experience in healthcare or life sciences.

Solutions Consultant role focused on deploying Snowflake's cloud products and services, assisting customers with modernization projects, and migrating them to Snowpark/Snowflake. The role involves acting as a customer expert, providing requirements for internal tooling, and guiding customers on data engineering pipelines. Experience in AI/ML, data warehousing, and cloud projects is beneficial, as is the ability to architect Spark and Scala environments and develop best practices for distributed computing and machine learning frameworks.

This role is for a Senior Solution Engineer at Snowflake, focusing on helping customers understand and utilize Snowflake's data platform, particularly in the context of the 'agentic enterprise'. The role involves working closely with sales, product, and engineering teams to provide technical expertise, build demos, execute proof-of-concepts, and offer consultative assistance on architecture and implementation. While the company is powering the 'era of the agentic enterprise' and encourages AI-native thinking, this specific role is customer-facing and sales-oriented, not directly building or researching AI models.

Snowflake is seeking a Senior Director of Engineering and Product Recruiting to lead technical growth, scale the organization, and shape a team of recruiters. The role involves partnering with leadership, managing end-to-end talent strategy for R&D, and ensuring operational excellence with an AI-native mindset. This is a strategic leadership position focused on attracting and retaining top AI/ML talent in a high-growth environment.

This role is for an IT Auditor at Snowflake, focusing on SOX compliance, cloud infrastructure audits, automated assurance using tools like Python and AI coding tools, product security audits, and compliance reviews. The role involves assessing IT control deficiencies, acting as a consultant for product teams on compliant-by-design systems, and participating in risk assessments. While the company is powering the 'agentic enterprise' and encourages AI adoption, the core function of this role is IT auditing and compliance, not direct AI/ML model development.

This role focuses on re-engineering the Marketo Engage platform into an AI-augmented marketing automation system, emphasizing platform engineering, agentic workflow design, and scalable campaign infrastructure. The goal is to build self-sustaining, automated systems that eliminate manual processes.

Snowflake is seeking a Technical SEO Manager to transform their search operations. This role involves architecting and scaling technical SEO operations from the ground up, shipping fixes, building custom tooling with Python and SQL on Snowflake products, and optimizing for AI (LLM) Discovery. The ideal candidate has strong technical SEO knowledge, web engineering experience, and a proven track record in performance optimization and log file analysis, with active experimentation in how LLMs and AI search agents interact with content.

Snowflake is seeking AI-native thinkers to join their Sales Engineering team to help customers leverage Snowflake's platform for the agentic enterprise. The role involves providing technical expertise, building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation, working closely with Sales, Product, Engineering, and Marketing.

Staff Software Engineer for Snowflake's Identity & Access Management team, focusing on building AI security capabilities for agentic enterprise workflows. The role involves designing and implementing authentication and authorization features, leading cross-team projects, and ensuring secure data sharing and access control within Snowflake's Data Cloud.

Engineering Manager to lead a team building distributed systems for Snowflake's Feature Store, focusing on real-time and online serving infrastructure for enterprise ML workloads. The role involves leading a team, driving system design, shaping architecture for streaming pipelines, and ensuring reliable, low-latency feature access for AI applications.

Snowflake is seeking a Senior Data Engineer to join their Product and Data Science team. The role involves designing, building, and maintaining scalable data pipelines using Snowflake and cloud technologies, with a focus on cost optimization, performance, and data quality. The engineer will also build dashboards, implement data governance, and collaborate with data scientists and product teams. While the role mentions using AI tools like Cursor and working in an 'agentic enterprise' context, the core responsibilities are centered around traditional data engineering tasks.

Snowflake is seeking a Data Engineer to join their Product and Data Science team. The role involves designing, building, and maintaining scalable data pipelines using Snowflake and cloud technologies, with a focus on cost optimization, performance, and data quality. The engineer will also build dashboards, implement data governance, and collaborate with data scientists and product teams, utilizing modern AI tools like Cursor to accelerate development.

Solution Engineer specializing in AI/ML for Snowflake's Manufacturing sector. This role involves providing technical guidance on AI/ML, working with executives on data architecture, supporting sales cycles with demonstrations and Proof of Concepts, and leveraging Snowflake's platform capabilities for data ingestion, transformation, and lakehouse workloads. Requires strong Snowflake, data engineering, and AI/ML technology experience, with excellent presentation skills for both technical and business audiences.

Account Engineer role focused on accelerating customer adoption and value realization on the Snowflake AI Data Cloud by leveraging AI-powered tools and coding agents. This role acts as a technical partner to customers, driving initial utilization, providing architectural guidance, and serving as a feedback loop to product teams.

This role focuses on protecting Snowflake and its customers from abuse, misuse, and fraud by designing, building, and operating systems at the intersection of security engineering, data analytics, and machine learning. The engineer will develop prevention controls, detections, and automation to mitigate abuse activity, with a focus on agentic enterprise applications.

This role focuses on modernizing marketing campaign operations by replacing manual processes with scalable, agentic, and automated workflows. The manager will own email operations, experiment with agentic marketing approaches, build reusable frameworks, and partner with stakeholders to translate campaign goals into automated execution models. The role requires a builder mindset with curiosity for automation and AI, hands-on experience with marketing automation systems, and practical coding skills in HTML/CSS and scripting languages.

Principal Software Engineer II to lead technical strategy and execution for Snowflake's Horizon Catalog, the Universal AI Catalog. This role involves setting technical vision, driving product influence, leading high-complexity initiatives, and mentoring engineers. The focus is on building AI-native capabilities for the agentic enterprise, including leveraging semantic metadata for AI experiences like RAG and enabling third-party agents.

Solutions Architect role at Snowflake focused on helping customers build and leverage data platforms, including understanding AI/ML concepts, in a post-sales capacity. The role involves advisory services, technical guidance, and troubleshooting for enterprise clients, aiming to maximize value from their Snowflake investment.

This role is for a Senior Penetration Testing Engineer at Snowflake. The primary focus is on finding and exploiting vulnerabilities in various cloud environments, systems, and applications, including those related to AI Agents and Systems. The role involves setting test scopes, developing new attack methods, and collaborating with security and engineering teams to manage product releases and communicate findings. While the company is exploring AI and mentions 'agentic enterprise' and 'agentic driven security', the core function of this role is penetration testing, not direct AI/ML model development or deployment.

This role is for a Partner Solution Engineer focused on driving adoption of Snowflake's platform, particularly its AI capabilities, through partners. The engineer will collaborate with partners to develop solutions, create assets and demos, build POCs, and pitch Snowflake solutions. They will also provide technical enablement, share best practices, and support sales cycles. While AI/ML use cases are mentioned as a plus, the core function is partner enablement and solution engineering for the broader Snowflake platform, not direct AI/ML model development or deployment.

This role focuses on automating and scaling enterprise collaboration platforms (Okta, Google Workspace, Slack, PagerDuty) using DevOps best practices and scripting languages. While the company mentions an "AI-first automation strategy" and "AI-native thinkers," the core responsibilities and required skills are centered around traditional DevOps, identity and access management, and SaaS integrations, not direct AI/ML model development or deployment.

Snowflake is seeking Software Engineer Interns for Fall 2026 to work on security within their agentic enterprise platform. The role emphasizes AI-native thinking and using AI as a collaborator, but the core responsibilities are in security engineering for a cloud data platform. The internship offers exposure to enterprise-grade software, security, cryptography, and large-scale data processing.

This is an internship role focused on infrastructure automation within Snowflake, which is powering the era of the agentic enterprise. The role emphasizes AI-native thinking and using AI as a collaborator, but the core responsibilities are in software engineering, infrastructure, and automation, not direct AI/ML model development.

Snowflake is seeking Software Engineer Interns for Fall 2026 to work on database engineering. The role involves contributing to enterprise-grade software and services, gaining exposure to database internals, large-scale data processing, and cloud infrastructure. The internship offers opportunities to learn about cutting-edge database technology and research, with potential work focus areas in Database Query Engine, FoundationDB, and Hybrid Transactional & Analytical Processing.

This is an internship role for Software Engineers at Snowflake, focusing on Core Engineering. While the company emphasizes an 'agentic enterprise' and AI-native thinking, the core responsibilities and coursework are in traditional software engineering, data structures, algorithms, and systems programming, with exposure to cloud infrastructure and database technologies. The role is not directly building AI models or agents but rather contributing to the underlying platform and systems that may support AI initiatives.

This role is for a Senior Support Engineer at Snowflake, focusing on providing IT infrastructure support, managing tickets, developing procedures, and preparing hardware. While the company emphasizes an 'agentic enterprise' and AI as a collaborator, the core responsibilities of this role are traditional IT support functions, not direct AI/ML development or deployment.

Snowflake is seeking a Staff Escalation Manager to join their Support team. The role involves coordinating efforts to resolve complex customer issues, collaborating with internal teams like Engineering and Sales, and serving as a mentor to junior staff. The ideal candidate will have experience in managing enterprise customer relationships and cloud environments, with a focus on providing outstanding service and support to critical customers.