Currently tracking 57 active AI roles, down 43% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
Snowflake has 80 active AI-related job listings, with a significant focus on roles within the agents stage, comprising 64% of their openings. The majority of these positions are in Engineering. The company is actively hiring in the United States and Poland. Frequent technology tags include agent_orchestration, llm_observability, and model_serving, suggesting a concentration on developing and deploying AI agents. Over the last 30 days, Snowflake has posted 28 new AI roles, representing a 28% decrease compared to the previous 30-day period.
Snowflake currently has 73 active AI-related roles in our index. The most common open titles are: Senior Technical Support Engineer, Observe by Snowflake (3), Applied AI Engineer (2), Senior Data Scientist (2), Senior Security Architect, Applied Field Engineering (AFE) (2), Engineering Manager - SnowConvert AI . Most positions are in Engineering and Product.
Snowflake's active AI hiring is concentrated in: agents (60%), application (23%), serving infrastructure (8%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Snowflake is hiring AI talent in: United States (61 roles), Poland (7 roles), Switzerland (2 roles), Australia (2 roles).
Job postings at Snowflake most frequently reference: agent orchestration, llm observability, model serving, rag, evals.
In the past 30 days, Snowflake has posted 13 new AI-related roles. That is a -70% change versus the prior 30 days (43 → 13).
| Title | Stage | AI score |
|---|---|---|
| Senior Solution Engineer Senior Solution Engineer at Snowflake, focusing on selling and demonstrating Snowflake's data solutions to enterprise customers, with an emphasis on AI-native thinking and leveraging AI tools to enhance productivity and customer engagement in the sales cycle. | — | 5 |
| Senior Software Engineer - Natsec Senior Software Engineer role focused on building and maintaining scalable distributed systems for Snowflake's cloud automation platform, with a strong emphasis on security, compliance, and operational readiness in sensitive production environments. The role involves customer interaction, collaboration with product teams, and utilizing AI-driven tooling for operational tasks, requiring a TS/SCI clearance. | — | 5 |
| Corporate Counsel 2 - Product Snowflake is seeking a Corporate Counsel II to support their AI Forward Deployed Engineering, AI Governance, Data Clean Rooms, and Native Apps product surfaces. The role involves day-to-day product counseling, collaborating with PMs and engineers on feature development, risk mitigation, and compliance strategies, advising on IP, privacy, and regulatory issues, managing AI engagements, drafting legal terms, and reimagining legal work practices using AI tooling. The ideal candidate has 3+ years of legal practice in relevant areas, comfort with technical product material, strong judgment, and an experimental mindset towards AI tooling. |
| — |
| 5 |
| Senior Manager, Applied Field Engineering - AI/ML Product Specialist Seeking a Manager, Applied Field Engineering - AI/ML Product Specialist to lead a team of engineers focused on Generative AI, Machine Learning, and Advanced Analytics. Responsibilities include coaching the team through technical sales engagements, driving customer consumption of Snowflake's AI/ML capabilities, providing guidance on customer architectures, and aggregating field insights to inform product roadmap discussions. The role also involves team leadership, recruitment, and development. | Ship | 5 |
| Senior Solution Engineer Senior Solution Engineer at Snowflake, acting as a technical trusted advisor to enterprise customers. The role involves leading technical discovery, solution design, and proof-of-value engagements, translating business requirements into architectures leveraging the Snowflake Data Cloud, and delivering technical presentations. This role partners with sales, serves as the voice of the customer, and builds reusable assets. It requires experience in data engineering, analytics, AI/ML, software development, or cloud architecture, with proficiency in SQL, programming languages, cloud platforms, and modern data stack tooling. Preferred qualifications include experience with AI/ML workflows like model training, LLMs, RAG, and MLOps. | — | 5 |
| Senior Operations Manager, Field Finance This role focuses on operational initiatives and driving efficiency within Field Finance and Deal Desk functions at Snowflake, a company powering the era of the agentic enterprise. The Senior Operations Manager will manage system projects, ensure successful implementation of new systems and enhancements (including AI functionalities), and maintain a robust knowledge base. Key responsibilities include project/backlog management, cross-functional collaboration, system implementation (including Ironclad CLM, Salesforce CPQ, Docusign eSignature, and AI functionalities), documentation, SOX controls, and identifying/introducing new AI solutions to increase team productivity. The role requires strong project management skills, deep understanding of Field Finance and Deal Desk processes, and experience with relevant systems. | — | 5 |
| Solution Engineer Customer-facing Solution Engineer role at Snowflake, focused on helping organizations leverage modern data architecture for AI impact. Responsibilities include leading customer conversations on AI strategy, designing and demonstrating solutions using SQL and Python, supporting Proof of Concepts, translating technical concepts to business outcomes, and navigating sales cycles. Requires strong SQL, Python for analytics/ML, familiarity with AI/ML concepts (GenAI, LLMs), and excellent communication/influence skills. | — | 5 |
| Senior Manager, Technical Executive Recruiting Senior Manager, Technical Executive Recruiting to lead a team and develop proactive talent strategies for hiring senior technical leadership at Snowflake, leveraging AI tools to enhance recruiting workflows and market intelligence. | — | 5 |
| Solution Engineer Solution Engineer role at Snowflake, focusing on empowering customers with Snowflake's data platform and vision, especially in the context of the 'agentic enterprise'. The role involves technical expertise, customer-facing presentations, demos, proof-of-concepts, and consultative assistance, working closely with Sales, Product, Engineering, and Marketing. Requires strong competency in modern data stacks, ETL/ELT, data science, and SQL, with a bonus for Python. Experience in AI/ML is a plus. | — | 5 |
| Senior Solution Engineer Senior Solution Engineer role focused on understanding customer needs, demonstrating Snowflake's value, and closing deals, with an emphasis on AI-native thinking and leveraging AI tools. Requires experience in pre-sales, ML/GenAI deployment, and cloud technologies. | — | 5 |
| Collections Analyst This role is for a Collections Analyst at Snowflake who will leverage AI-powered financial tools to predict delinquency risks and automate routine communications. The primary focus is on collections and credit management within an enterprise AI context, aiming to improve processes and reduce delinquency. | — | 5 |
| Enterprise Developer, GTM Applications Seeking an Enterprise Developer for GTM Applications at Snowflake to design, develop, test, and support scalable solutions within Salesforce and related go-to-market systems. The role involves configuration and coding in Salesforce, building integrations, and responsibly using AI-assisted development tools to accelerate workflows. The candidate will collaborate with stakeholders, support the full delivery lifecycle, and adhere to development best practices. | — | 5 |
| Senior Technical Account Manager This role is for a Senior Technical Account Manager at Snowflake, focusing on post-sales technical engagements for customers using Snowflake's platform, particularly in the context of the 'agentic enterprise'. The role involves collaborating with internal teams, providing technical guidance, driving customer growth, and leveraging AI tools to create scalable solutions for the customer experience organization. While the role uses AI tools and discusses AI observability, it does not involve building or shipping AI models directly. | — | 5 |
| Senior Data Engineer - Product This role is for a Senior Data Engineer focused on building and maintaining data pipelines within Snowflake, supporting Product and Data Science teams. The role involves data modeling, ETL/ELT, performance optimization, cost optimization, and building dashboards. While the company emphasizes an 'agentic enterprise' and the role uses AI tools like Cursor, the core responsibilities are data engineering, not direct AI/ML model development or deployment. | — | 5 |
| Industry Architect – Retail & Consumer Goods This role focuses on designing and architecting AI-powered solutions and agentic workflows for the retail and consumer goods industry using Snowflake's AI Data Cloud. The Industry Architect will translate business challenges into scalable data and AI solutions, focusing on customer engagements, end-to-end architectures, and the "last mile" user experience with AI embedded in workflows. They will leverage Snowflake's platform capabilities, build prototypes, create reusable assets, and influence the product roadmap, acting as a bridge between industry needs and AI technology. | Agent | 5 |
| Sr. Manager, Campaign Operations, Email Audience and Enablement This role is for a Sr. Manager, Campaign Operations focusing on email, audience, and enablement within a B2B enterprise environment. The primary responsibility is to transform how the team operates by owning email operations excellence, audience segmentation, and integrating AI and automation tools to improve campaign execution. The role involves building AI-driven frameworks and playbooks, designing systems for scale, and coaching team members on craft. While AI tools are a significant focus for evaluation and integration, the core output is improved marketing campaign operations and strategy, not direct AI model development. | — | 5 |
| Senior Software Engineer - Billing Platform Senior Software Engineer on the Billing & Payments Platform team at Snowflake. This role involves building and operating distributed systems for customer resource consumption, revenue processing, invoicing, and reporting, with a specific focus on shaping the billing strategy for AI products like Cortex AI and agentic AI portfolios. The engineer will use AI as a collaborator in development and will partner cross-functionally with Product, Finance, and other teams. | — | 5 |
| Senior Manager, Solution Engineering Enablement Senior Manager, Solution Engineering Enablement to lead a team serving as the enablement business partners for the Solution Engineering organization. This role will set the strategy for translating business priorities into capability programs, coaching the team to design systems that make the field more effective, and overseeing the design and execution of activation experiences, including AI-driven learning and responsible use of AI-generated content. | — | 5 |
| Account Executive, Enterprise Acquisition Account Executive with expertise in enterprise sales, responsible for prospecting, developing, and closing new business for Snowflake's AI-powered solutions. The role involves understanding customer roadmaps, achieving sales quotas, and collaborating with cross-functional teams. | — | 5 |
| Senior Solution Engineer Senior Solution Engineer at Snowflake, focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing deals. The role requires a proactive curiosity for the AI landscape and the ability to leverage AI code generation tools. | — | 5 |
| Principal Integrations Developer, Workday HCM This role focuses on designing, building, and maintaining integrations for Workday HCM, connecting people systems and ensuring data flow. It involves partnering with stakeholders, providing production support, and ensuring data accuracy and security. A key aspect is integrating Workday with Snowflake for people data pipelines and analytics. The role also emphasizes leveraging AI tools to enhance development and troubleshooting, and requires significant experience with Workday integration technologies. | — | 5 |
| Senior Solution Engineer, SLED This role is for a Senior Solution Engineer at Snowflake, focusing on the SLED (State, Local, and Education) sector. The primary responsibility is to work with sales teams and partners to understand customer needs, provide compelling demonstrations, support Proof of Concepts, and close deals. While the role emphasizes AI as a collaborator and requires leveraging AI code generation tools, the core function is pre-sales engineering and customer problem-solving within the data warehousing and cloud technologies space, not direct AI/ML model development or deployment. | — | 5 |
| Solution Engineer Solution Engineer role focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing business for Snowflake's AI-powered enterprise solutions. The role emphasizes working with sales teams and partners, presenting technology vision, and collaborating with internal teams. Requires strong pre-sales experience, presentation skills, and expertise in databases, data warehousing, analytics, and cloud technologies, with SQL and Python skills. | — | 5 |
| Staff Product Manager - Developer Experience and Test Pyramid Staff Product Manager to lead the mission to build an industry-leading, AI-forward developer experience for the engineers at Snowflake. This role will focus on redefining how the Snowflake product is developed and tested, shaping an AI-forward and opinionated developer experience and a modern, intelligent test pyramid that balances speed, reliability, and coverage. The goal is to ensure internal tools enable engineers to move with maximum velocity while maintaining world-class quality. | ShipEval Gate | 5 |
| Senior Solution Engineer Senior Solution Engineer at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting PoCs, and closing deals. The role requires a deep understanding of Snowflake technology, competitive landscape, and the ability to connect customer business problems with Snowflake solutions. Emphasizes AI-native thinking, using AI as a collaborator, and leveraging AI code generation tools. Requires strong presentation and technical skills, with experience in databases, data warehousing, ETL, cloud technologies, SQL, and Python. | — | 5 |
| Solution Engineer Customer-facing Solution Engineer at Snowflake who partners with Sales to guide customers from raw data to AI impact, architecting solutions, delivering demos, and influencing buying decisions. Leverages AI tools for personalization and preparation. | — | 5 |
| Senior Accountant This role is for a Senior Accountant at Snowflake, a company focused on the 'agentic enterprise'. While the company emphasizes AI, this specific role is not directly building AI models. It focuses on core accounting operations, including lease accounting, M&A, and driving automation and efficiencies using AI-enabled solutions and data analytics. The role requires strong technical accounting expertise, process transformation, and collaboration with various teams to enhance reporting accuracy and operational efficiency within a cloud software environment. | — | 5 |
| Lead Forward Deployed Engineer - Migration Lead Forward Deployed Engineer responsible for leading customer data and application modernization using Snowflake's AI Data Cloud, designing and implementing data solutions, and enabling customers to leverage AI/ML capabilities. | — | 5 |
| Business Development Lead for Snowflake for Startups Business Development Lead for Snowflake for Startups, focused on targeting and winning workloads from top AI startups. This role acts as a coordination overlay across Sales, Marketing, and Solutions Engineering to identify, nurture, and drive growth for AI-native startups using Snowflake. Responsibilities include networking, categorizing startups, driving engagement with Tier 1 and Tier 2 startups, facilitating executive introductions, supporting GTM and PLG motions, and measuring growth through OKRs. | — | 5 |
| Senior Software Engineer - Observe by Snowflake, OpenTelemetry Senior Software Engineer to drive Snowflake's open-source strategy within the OpenTelemetry ecosystem, focusing on telemetry collection and instrumentation for emerging domains like LLM/AI observability and Browser RUM. The role involves designing and implementing OTel Collector components and SDK libraries, contributing to the OpenTelemetry community, and architecting the Observe Agent. | — | 5 |
| Senior Software Engineer - Observe by Snowflake, Streaming Data Products Senior Software Engineer for Snowflake's Observe team, focusing on the streaming data product surface. This role involves owning the data modeling, APIs, schemas, and abstractions for unifying telemetry data (logs, metrics, traces, events) in a data lakehouse. The goal is to enable high-performance querying and correlation of semi-structured data at petabyte scale, supporting both simple and complex data pipelines. The role requires deep expertise in databases, stream processing, and API design, with a focus on architectural direction and technical leadership. | — | 5 |
| Global Account Manager, Telco This role is for a Global Account Manager at Snowflake, focused on driving growth and strategic partnerships with AT&T. The GAM will position Snowflake as the Data and AI Platform of choice to support AT&T's modernization, AI initiatives, and data-driven innovation. Responsibilities include revenue ownership, strategic account leadership, executive engagement, and cross-functional team orchestration. | — | 5 |
| Director of Engineering - Application, Cloud and Offensive Security Director of Engineering for Application, Cloud, and Offensive Security at Snowflake, focusing on securing the AI Data Cloud platform and its AI products against evolving threats in an AI-accelerated landscape. This role involves defining security strategy, building high-performing teams, leading offensive security programs, and embedding security into AI products and cloud architecture. | — | 5 |
| Partner Development Director, Accenture This role is a Partner Development Director focused on driving growth and strengthening collaboration with Accenture, a Global System Integrator (GSI) partner, to bring Snowflake's AI Data Cloud solutions to customers. The role involves building joint business plans, GTM strategies, supporting field teams, and leveraging AI tools for productivity. It is a quota-carrying position. | — | 5 |
| Product Finance Analyst Product Finance Analyst at Snowflake, focusing on cloud and AI unit economics. The role involves managing cloud spend, analyzing AI cost drivers (token economics, inference costs), identifying cost-saving opportunities, building internal tooling for spend management, and partnering with Engineering and Product teams. The analyst is expected to be an early adopter of AI in their own workflows and understand the economics of AI workloads across different cloud providers. | — | 5 |
| Senior Solution Engineer, Majors Acquisition 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. | — | 5 |
| Principal Engineer, Identity Data Security and Trust 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. | — | 5 |
| Account Executive, Enterprise Acquisition Account Executive with expertise in enterprise sales, focusing on prospecting, developing, and closing new business for Snowflake's AI-powered data platform. The role requires understanding customer roadmaps, driving solution adoption, and achieving sales quotas, while collaborating with cross-functional teams. | — | 5 |
| Senior Professional Services Sales Solutions Architect This role is for a Senior Professional Services Sales Solutions Architect at Snowflake, focusing on selling and delivering professional services for Snowflake's data platform, particularly in the context of the 'agentic enterprise'. The role involves presenting Snowflake's technology and vision, acting as a trusted advisor, scoping proposals, collaborating with sales teams, conducting workshops, and demonstrating the value of Snowflake solutions. While the company is powering the 'era of the agentic enterprise' and the role mentions AI/ML experience as a plus, the core function is sales and professional services delivery, not direct AI/ML model development or research. | — | 5 |
| Staff Product Manager, Unistore (Hybrid Tables) Staff Product Manager for Snowflake's Unistore (Hybrid Tables) product, focusing on the convergence of OLTP and analytical workloads. The role involves defining product strategy, roadmap, and go-to-market execution, with a significant emphasis on enabling AI-driven workflows and serving as the low-latency transactional backbone for agentic enterprise applications. Requires deep database systems experience and strong product management skills. | — | 5 |
| Senior Software Engineer, Identity & Access Management 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. | — | 5 |
| Sr. Sales Ops Analyst, Observability This role is for a Sr. Sales Operations Analyst at Snowflake, focusing on the Observe by Snowflake platform. The role involves managing revenue-related data, streamlining cross-functional processes, analyzing usage data, and providing insights to leadership. While the company and product are AI-focused, the core responsibilities of this role are in sales operations and data analysis, not direct AI/ML model development or deployment. | — | 5 |
| Senior People Project Manager This role is for a Senior People Project Manager at Snowflake, focusing on delivering HR systems and technology initiatives, including AI-powered People tools. The role involves managing projects from concept to implementation, partnering with technical stakeholders, and championing the adoption of AI within the People function. The ideal candidate will have experience in HR systems implementation, project management methodologies, and a curiosity for AI's transformative potential in HR. | — | 5 |
| Senior Manager, Product Management - Developer Experience Senior Manager, Product Management for Developer Experience at Snowflake. This role focuses on improving internal developer tools and products to enhance engineer productivity and accelerate innovation. The candidate will manage a team of PMs, define product vision for developer experience, and work closely with engineering and data science. A key aspect is leading transformations that leverage AI to boost engineering impact and time-to-market. | — | 5 |
| Senior Practice Manager This role is for a Senior Practice Manager at Snowflake, focusing on leading professional services engagements for cloud data solutions and AI-powered solutions. The role involves strategizing with clients and sales teams, managing project delivery, and driving revenue growth. While the company is focused on the 'agentic enterprise' and AI-powered solutions, this specific role is in professional services and product management, not direct AI/ML model development. | — | 5 |
| Cloud Partner Solutions Engineer (AWS / Azure / Google Cloud) 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. | Agent | 5 |
| Engineering Manager – Snowtrail 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. | ServeData | 5 |
| Senior Solution Engineer Customer-facing Solution Engineer who partners with Sales to guide customers from raw data to real AI impact, architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions. Leverages AI tools to personalize demos, accelerate preparation, and enhance delivery. | — | 5 |
| Solution Engineer Customer-facing Solution Engineer role at Snowflake, focused on helping organizations leverage AI through modern data architecture. The role involves partnering with Sales to guide customers from data to AI impact, architecting solutions, delivering demos, and influencing buying decisions. It requires strong technical depth, executive presence, and a passion for innovation, with an emphasis on using AI tools to enhance sales processes. | — | 5 |
| Senior Frontend Software Engineer - Notebooks 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. | — | 5 |