Currently tracking 55 active AI roles, up 75% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$380k (avg $250k).
| Title | Stage | AI score |
|---|---|---|
| Principal Solution Engineer, Financial Services 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. | — | 5 |
| Senior Solution Engineer 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. | — |
| 5 |
| Solution Engineer 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. | — | 5 |
| Senior Solution Engineer 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. | — | 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 within the sales cycle. | — | 5 |
| Senior Solution Engineer - SLED 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. | — | 5 |
| Sales Development Representative Snowflake is seeking an Enterprise Sales Development Representative (SDR) to build high-quality pipeline and influence deal progression within their territory. This role requires a seller mindset, end-to-end ownership, and a focus on revenue impact, moving beyond traditional meeting booking to opportunity shaping. The ideal candidate is a curious, outcome-driven individual who can leverage data and insights to engage enterprise stakeholders and refine outreach strategies, with a strong understanding of Snowflake's data platform and AI ecosystems. | — | 5 |
| Solution Engineer 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. | — | 5 |
| Account Executive, Commercial Account Executive role focused on selling Snowflake's AI-powered solutions to enterprise clients. The role involves managing client relationships, driving revenue, and understanding customer needs to position Snowflake's offerings effectively within the context of digital transformation and cloud adoption. | — | 5 |
| Applied Scientist, Customer FinOps Intelligence 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. | Data | 5 |
| Senior Solution Engineer, Financial Services 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. | — | 5 |
| Senior Manager, Technical Support This role is for a Senior Manager of Technical Support at Snowflake, focusing on leading a global team in a 24/7 environment. The role emphasizes the responsible use of AI-assisted workflows and AI-driven insights to optimize operational excellence, customer experience, and team development. The manager will lead technical staff, interface with Engineering, recruit and develop talent, and use data and AI insights for decision-making. Key responsibilities include team leadership, operational excellence through AI-driven strategies, cross-functional collaboration with AI/platform teams, and championing AI-driven innovation and change management. The role requires experience leading teams using AI tools in support workflows and critically evaluating AI outputs. | — | 5 |
| Senior Solution Engineer Senior Solutions Engineer at Snowflake, focused on understanding customer needs, demonstrating Snowflake's value, and closing deals in the context of the 'agentic enterprise' era. The role involves working with sales teams, channel partners, and collaborating with Product, Engineering, and Marketing. Requires broad experience in data warehousing, ETL, analytics, data science, AI/ML, and cloud technologies, with hands-on SQL and Python expertise. | — | 5 |
| Product Workload Finance Analyst This role focuses on financial analysis for product workloads, aiming to improve understanding and decision-making for profitable business growth. The analyst will develop financial models, drive revenue and margin insights, own pricing strategy, partner with Product and Sales, and use AI tools to accelerate insight discovery and automate reporting. The role requires strong financial and analytical skills, experience in SaaS/Cloud environments, and the ability to translate complex data into actionable insights. | — | 5 |
| Product Analyst This role is for a Product Analyst at Snowflake, focusing on improving product leaders' understanding and decision-making for profitable business growth. The role involves supporting financial model development, analyzing revenue and margin insights, assisting with pricing strategy, collaborating with Product and Sales, deriving data-driven insights using SQL, leveraging AI tools for insight discovery and reporting, and helping build scalable reporting. The ideal candidate has a Bachelor's degree, 1-2 years of experience, strong analytical aptitude, and technical agility with SQL. The company is powering the 'agentic enterprise' and encourages employees to treat AI as a collaborator. | — | 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 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. | — | 5 |
| Senior Solution Engineer - Federal 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. | — | 5 |
| Senior Solution Engineer Senior Solution Engineer role at Snowflake, focusing on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing deals. The role emphasizes working with AI as a collaborator and reinventing how work gets done in the era of the agentic enterprise. | — | 5 |
| Anti-Abuse Senior Software Engineer, Product Security 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. | Agent | 5 |
| Account Executive, Commercial Acquisition Snowflake is seeking a Commercial Account Executive to join their sales team. The role involves selling Snowflake's solutions to digital native and startup prospects, building customer relationships, and driving new business opportunities. While the company is focused on AI and the 'agentic enterprise', this specific role is in sales and does not involve building or shipping AI models. | — | 5 |
| Software Engineer - Notebooks Software Engineer for Snowflake Notebooks, a development interface for Python and SQL. The role involves driving initiatives across product areas and tech stack (NodeJS, Java, JavaScript/React), collaborating with cross-functional teams, and delivering features requiring coordination with ML, Container Services, billing, and cloud infrastructure. The ideal candidate has 2+ years of software development experience, understanding of modern web applications, and knowledge of data development tools, data infrastructure, or ML is a plus. The role focuses on building for scale and high performance within an agentic enterprise context. | — | 5 |
| Senior Solutions Engineer, Media & Entertainment Seeking a Senior Solutions Engineer for the Media & Entertainment sector to work with sales teams and partners to understand customer needs, strategize sales cycles, provide demonstrations, support Proof of Concepts, and close business. The role involves presenting Snowflake technology and vision, working hands-on with customers, understanding competitive landscapes, and collaborating with internal teams. Requires strong presentation skills, broad experience in data warehousing, AI/ML, cloud technologies, SQL, and Python, and the ability to connect business problems with solutions. | — | 5 |
| Senior Product Designer Senior Product Designer at Snowflake, focusing on the 'agentic enterprise' and the future of working with data. The role involves driving product vision, owning execution, and collaborating with engineering and product partners to deliver high-quality, customer-loved products. The team is described as AI-forward, emphasizing speed, iteration, and the integration of AI into product development. | — | 5 |
| Account Executive, Commercial Acquisition This role is for a Commercial Account Executive at Snowflake, focusing on selling Snowflake's solutions to digital native and startup prospects. The role emphasizes building customer relationships, understanding customer needs, and demonstrating how Snowflake's platform can solve business and technical problems, particularly in the context of the 'agentic enterprise' and cloud adoption. While the company is focused on AI, this specific role is in sales and does not involve building or shipping AI models. | — | 5 |
| Partner Marketing Lead, AI Snowflake is seeking a Senior Partner Marketing Manager, AI to define and execute partner marketing strategies that amplify their AI initiatives, drive partner adoption, and extend Snowflake’s reach in the market. This role involves working across marketing, alliances, and sales to bring partner-powered AI initiatives to life, focusing on defining and leading the partner marketing strategy for AI, driving partner activation and go-to-market execution, leading cross-functional alignment, building content and enablement, operating with speed and focus, and measuring impact. | — | 5 |
| Senior Solution Engineer Senior Solution Engineer at Snowflake, partnering with Sales, Product, Engineering, and Marketing to drive customer success by translating complex business challenges into scalable data platform solutions. Responsibilities include technical discovery, solution architecture, compelling demonstrations, proof-of-concepts, and guiding customers through adoption. The role requires deep technical expertise, commercial acumen, and customer engagement skills, acting as a trusted technical advisor and influencing the product roadmap with field feedback. The company emphasizes an AI-native approach, treating AI as a collaborator to reinvent work and accelerate impact. | — | 5 |
| Senior Partner Marketing Manager, Public Sector This role is for a Senior Partner Marketing Manager focused on the Public Sector. The primary responsibility is to develop and execute go-to-market strategies with System Integrator and Cloud Provider partners to drive pipeline generation and revenue growth. The role involves creating joint value propositions, managing co-marketing programs, and collaborating with internal and external teams. While the role mentions AI agents and AI-driven workflows, its core function is marketing and partner management, not direct AI/ML development. | — | 5 |
| Senior Director, Compensation Senior Director of Compensation to lead and evolve global compensation programs in a high-growth, fast-paced technology environment, partnering with executives and Finance to design scalable, data-driven compensation programs. This role will leverage AI and advanced analytics to enhance compensation decision-making, including market pricing, pay recommendations, and workforce planning, while ensuring accuracy, explainability, and bias-free insights. | — | 5 |
| Account Executive, Majors Acquisition Account Executive role focused on acquiring new enterprise customers for Snowflake's AI-powered platform, requiring a strong sales background and understanding of technical solutions in Data Warehousing, BI, Data Science, and AI/ML. | — | 5 |
| Solution Engineer - Data Engineering Specialist - Bilingual (Spanish) Snowflake is seeking a Solution Engineer specializing in Data Engineering, who is bilingual in Spanish. This role involves providing technical leadership in designing and architecting the Snowflake Cloud Data Platform for enterprise clients. Responsibilities include working with sales teams, demonstrating Snowflake's capabilities in data ingestion and transformation, supporting Proof of Concepts, and collaborating with Product Management and Engineering. The ideal candidate has extensive experience in data architecture, pre-sales environments, and a strong understanding of various data technologies and cloud platforms. | — | 5 |
| Sr. Integrations Developer, Workday HCM 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. | — | 5 |
| Senior Solution Engineer 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. | — | 5 |
| Account Executive, Enterprise Growth Account Executive with expertise in enterprise sales, focusing on selling Snowflake's solutions, including those related to AI/ML, to new and existing customers. The role involves prospecting, developing, and closing business, achieving sales quotas, and collaborating with cross-functional teams. | — | 5 |
| Director of Engineering, Snowflake Apps Director of Engineering for Snowflake Apps, focusing on scaling application products like Streamlit and Native Apps, with an emphasis on AI-powered interfaces and agentic authoring/lifecycle management within an enterprise AI context. | — | 5 |
| Sourcing Manager 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. | — | 5 |
| Senior Product Design Manager, Observe by Snowflake The Senior UX Manager will lead UX strategy for Snowflake's AI-powered observability platform, Observe by Snowflake. This role involves defining UX for AI SRE, APM, Metrics, Log/Trace Explorers, and the Observability Context Graph, and managing a design team. The focus is on creating AI-native design patterns and anticipating how AI agents will reshape user workflows in observability. | — | 5 |
| Engineering Manager - Transformation & Data Lake 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. | — | 5 |
| Senior Manager, Solution Engineering 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. | — | 5 |
| Senior Forward Deployed Engineer -Spark 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. | Data | 5 |
| Senior Solution Engineer 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. | — | 5 |
| Patent Analyst 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. | — | 5 |
| Practice Manager This Practice Manager role at Snowflake focuses on driving the Services Delivery business and ensuring successful project outcomes for enterprise clients, particularly in Japan. The role involves leading sales and delivery efforts, collaborating with account teams, managing client relationships, and driving operational excellence within the Services Delivery organization. A key aspect is leveraging AI tools to improve efficiency and redefine how work gets done in the context of Snowflake's 'agentic enterprise' vision. | Ship | 5 |
| Principal Software Engineer II - Next-Gen Data Transformations 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. | ServeAgent | 5 |
| People Systems Analyst 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. | — | 5 |
| Solution Engineer 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. | — | 5 |
| Staff Product Manager - Pipelines & Orchestration Staff Product Manager for Snowflake's next-generation pipelines and orchestration platform, focusing on evolving Snowflake Tasks into a full end-to-end orchestration system for data engineering, ML, and AI workloads. The role involves defining product vision, driving the roadmap, and delivering a unified orchestration experience, combining greenfield platform building with scaling an established product. | — | 5 |
| Account Executive, Latin America 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. | — | 5 |
| Senior Solution Engineer, Enterprise Acquisition - Sydney 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. | — | 5 |
| Senior Solution Engineer 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 partners, supporting proofs of concept, and collaborating with internal teams. Requires strong technical and presentation skills, experience with data warehousing and cloud technologies, and a proactive curiosity for the AI landscape, including leveraging AI code generation tools. | — | 5 |
| Senior Solution Engineer 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. | — | 5 |