Data AI · Cloud data warehouse
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 |
|---|---|---|
| Senior Data Engineer 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. | — | 5 |
| Snowflake Data Engineer 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. | — |
| 5 |
| Product Manager – Storage Platform & Pricing Product Manager for Snowflake's Storage Platform & Pricing, focusing on storage management, cost optimization, and pricing strategy. The role involves driving end-to-end capabilities, ensuring alignment between customer value and platform economics, and leveraging AI/analytics tools for product discovery. It's an early-career role at the intersection of infrastructure and business strategy within the AI Data Cloud. | — | 5 |
| Product Manager – Metadata Platform Product Manager to drive execution across Snowflake Backups, Cloning, and Metadata Entities. This role is ideal for an early career PM who wants to work on deeply technical platform problems, own meaningful end to end capabilities, and directly impact how customers protect and operate on their data. | — | 5 |
| Senior Solution Engineer 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. | — | 5 |
| Solution Engineer Solution Engineer role focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing deals for Snowflake's AI-powered enterprise solutions. Requires understanding of AI/ML principles and ability to connect customer problems with Snowflake's offerings. | — | 5 |
| Solution Engineer Solution Engineer role focused on understanding customer needs, strategizing sales cycles, providing demonstrations, supporting Proof of Concepts, and closing deals for Snowflake's AI-powered enterprise solutions. Requires understanding of AI/ML principles and ability to connect customer problems with Snowflake's offerings. | — | 5 |
| Business Development Manager - Services This role is a Business Development Manager for Professional Services at Snowflake, focusing on driving sales and delivery of cloud data solutions, including AI-powered solutions, to clients. The role involves strategic planning, client engagement, project management, and meeting sales and delivery targets within the enterprise AI domain. | — | 5 |
| Account Engineer 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. | — | 5 |
| Senior Anti-Abuse Security Engineer, Product Security 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. | Agent | 5 |
| Senior Product Marketing Manager - Apps Product Marketing Manager for data and AI apps built on Snowflake, focusing on go-to-market strategy, messaging, and sales enablement for Snowflake Native Apps Framework, Streamlit, and Snowpark Container Services. The role requires a technical marketing professional to position Snowflake as a platform for building internal and customer-facing apps. | — | 5 |
| Account Executive, Enterprise Acquisition Account Executive with expertise in enterprise sales and a hunter mentality, responsible for prospecting, developing, and closing new business within a designated territory. The role involves becoming an expert on Snowflake's product, conducting discovery calls and demos, and achieving sales quotas. Requires a track record of securing new logos and experience selling technical solutions and software products into the enterprise market, with a focus on Data Warehousing, Business Intelligence, Data Science, and/or AI/ML. | — | 5 |
| Solutions Engineer Solutions Engineer role focused on understanding customer needs, demonstrating Snowflake's AI data platform capabilities, and supporting sales cycles to drive customer adoption and growth. The role requires a blend of business and technical acumen, with a focus on presenting value and translating complex problems into Snowflake use cases. | — | 5 |
| Account Executive, Commercial Acquisition This role is for an Account Executive at Snowflake, focusing on selling Snowflake's solutions to commercial clients. While the company emphasizes AI and an 'agentic enterprise' vision, the core responsibilities of this role are sales-focused, involving building customer relationships, closing new business, and understanding Snowflake's value proposition in the cloud and data analytics space. The role requires sales experience, particularly in data-related technologies, and the ability to manage a sales process and achieve performance objectives. | — | 5 |
| AI Product Sales Specialist Snowflake is seeking an accomplished AI Product Sales Specialist to drive sales execution for their AI/ML workload within the Enterprise market. This role involves developing sales strategies, executing sales plays, understanding customer AI/ML needs, and guiding strategic discussions about Snowflake's AI/ML capabilities. The specialist will work with account executives and sales engineers to manage customer engagements and track sales performance metrics. A strong background in selling technical solutions and software products, with a focus on AI/ML, is required. | — | 5 |
| Marketing Operations Manager – Campaign Automation 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. | — | 5 |
| Principal Software Engineer II, Horizon Catalog 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. | Agent | 5 |
| Solutions Architect 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. | — | 5 |
| Senior Solution Engineer This role is for a Senior Solution Engineer at Snowflake, focused on understanding customer needs, demonstrating Snowflake's value, and closing deals. While the company is powering the era of the agentic enterprise and encourages AI-native thinking, the core responsibilities of this role are sales-focused, involving customer interaction, demonstrations, and supporting sales cycles, rather than directly building or shipping AI models or systems. | — | 5 |
| Senior Data Scientist - Product Senior Full-stack Data Scientist at Snowflake to work on AI/ML tools and experimental features, shaping product roadmaps, building data models and production pipelines, and developing analytics/ML/causal inference frameworks. The role involves adopting new Snowflake features, disseminating insights, and influencing product decisions. | Agent | 5 |
| Solution Engineer Snowflake is seeking experienced Senior Sales Engineers to join their team in Tokyo, Japan. The role involves collaborating with sales teams and partners to understand customer needs, plan sales cycles, deliver compelling demonstrations, support Proofs of Concepts (PoCs), and drive deal closures. The Solutions Engineer will present Snowflake's technology and vision to executives and IT professionals, demonstrate value through demos and PoCs, understand the competitive landscape, and collaborate with product management, engineering, and marketing to improve products and marketing efforts. The ideal candidate has 5-6+ years of industry experience, 2+ years of customer-facing experience, strong presentation skills, broad experience in databases, data warehousing, ETL, analytics, and cloud technologies, hands-on SQL knowledge, and the ability to connect customer business challenges with Snowflake solutions. Fluency in both Japanese and English is required. | — | 5 |
| Senior Solution Engineer Snowflake is seeking experienced Senior Solution Engineers to join their Agentic Enterprise initiative. This role involves collaborating with sales teams and partners to understand customer needs, plan sales cycles, deliver value-based demonstrations, support Proofs of Concepts (PoCs), and drive deal closures. The engineer will present Snowflake's technology and vision to executives and technical stakeholders, demonstrate value through demos and PoCs, understand the competitive landscape, and work with product, engineering, and marketing teams to improve products and marketing efforts. The role requires strong presentation skills, broad experience in data warehousing, ETL, analytics, and cloud technologies, SQL proficiency, and the ability to connect customer business challenges with Snowflake solutions. Fluency in both Japanese and English is required. | — | 5 |
| Manager, Finance Transformation This role is for a Manager, Finance Transformation at Snowflake. The primary focus is on developing and delivering accounting and technology solutions within the CFO & CAO organization, particularly in record-to-report processes. The role involves managing projects, identifying optimization areas, and executing on new initiatives including AI, automation, and compliance. A key aspect is understanding the role of data in supporting AI initiatives during process re-engineering and ensuring SOX compliance. | — | 1 |
| Senior Penetration Testing Engineer 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. | — | 1 |
| Partner Solution Engineer - GCC 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. | — | 1 |
| Cloud DevOps Engineer 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. | — | 1 |
| Software Engineer Intern (Security) - Fall 2026 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. | — | 0 |
| Software Engineer Intern (Infrastructure Automation) - Fall 2026 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. | — | 0 |
| Software Engineer Intern (Database Engineering) - Fall 2026 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. | — | 0 |
| Software Engineer Intern (Core Engineering) - Fall 2026 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. | — | 0 |
| Senior Support Engineer 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. | — | 0 |
| District Manager This role is for a District Manager at Snowflake, focusing on leading a sales team in the era of the 'agentic enterprise'. While the company emphasizes AI and its role in transforming work, the core responsibilities of this position are centered around sales management, team leadership, strategic planning, and achieving sales quotas. The role requires experience in enterprise SaaS sales and managing sales teams, with a focus on driving business growth and customer success within a sales context. The company's AI focus is contextual to how the sales function will operate and evolve, rather than the direct building or deployment of AI models. | — | 0 |
| Senior Corporate Counsel - Commercial Senior Corporate Counsel specializing in commercial agreements for a cloud data services company that is powering the era of the agentic enterprise. The role involves partnering with business teams, negotiating technology agreements, managing legal risks, and improving contract processes, with an emphasis on supporting sales, services, marketing, IT, and finance. | — | 0 |
| Staff Escalation Manager 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. | — | 0 |
| Industry Lead, Hospitality, Americas This role is for an Industry Lead in Hospitality for the Americas at Snowflake. The primary focus is on driving industry-specific growth, developing regionalized collateral, and validating customer data strategies within the hospitality sector. While the role mentions AI and data-driven approaches, it is not a core AI/ML role but rather a product/sales-focused role leveraging existing data platforms and industry expertise. | — | 0 |
| Lead Practice Manager, Financial Services This role is for a Lead Practice Manager in Financial Services at Snowflake, focusing on driving business transformation through cloud data solutions. The role involves leading professional services engagements, collaborating with clients and sales teams, managing projects, and achieving bookings and utilization targets. While the company mentions AI and agentic enterprise, the core responsibilities of this specific role are focused on sales execution, project delivery, and client management within the financial services domain, rather than direct AI/ML model development or deployment. | — | 0 |
| Staff Software Engineer - Production Engineering Staff Software Engineer on the Production Engineering Team at Snowflake, focusing on reliability, SLOs, incident response, and scaling distributed systems to support the company's growth and the era of the agentic enterprise. | — | 0 |
| Global Account Manager This role is for a Global Account Manager at Snowflake, a company powering the era of the agentic enterprise. The role focuses on achieving sales quotas, developing sales strategies, and acting as a trusted advisor to customers by understanding their IT roadmaps and driving the Snowflake solution. It involves prospecting, managing sales processes, ensuring customer satisfaction, and closing complex deals. The ideal candidate has extensive experience in field sales, particularly in data or cloud technology, with a focus on strategic and complex customers, and experience managing cross-functional teams and closing seven-figure deals. | — | 0 |
| Account Executive, Majors Acquisition Account Executive for Snowflake's Majors Acquisition team, focused on selling Snowflake's solutions to enterprise clients, particularly in the context of the 'agentic enterprise' era. The role involves prospecting, developing, and closing new business, achieving sales quotas, and collaborating with internal teams. Requires extensive sales experience, technical solution selling, and a deep understanding of enterprise sales strategies, with a preference for experience in Data Warehousing, BI, Data Science, or AI/ML. | — | 0 |
| Sr. Partner Sales Manager, Brazil This role is for a Sr. Partner Sales Manager in Brazil, focused on driving and nurturing an ecosystem of System Integrators (SIs), Cloud Service Providers (CSPs), and specialized technology partners to strengthen Snowflake's network and drive joint customer growth. The role requires building multi-layered ecosystems, developing integrated Go-To-Market (GTM) programs, and establishing executive relationships. Success depends on driving compelling ecosystem strategies, multi-partner GTM motions, and strategic alliances, with a strong emphasis on communication and partner network orchestration. The role is quota carrying and involves practice development, capacity building, and results-oriented ecosystem management, with collaboration across internal teams and deal support. Experience in partner management, strategic alliances, or business development in the Brazilian technology market, with a track record of success and established relationships with Brazilian SI and Cloud Partners, is required. Knowledge of Cloud environments and the Brazilian regulatory landscape is preferred. | — | 0 |
| Software Engineer - Production Engineering Software Engineer for Production Engineering at Snowflake, focusing on reliability tools and processes for large distributed systems. The role involves improving service lifecycles, scaling systems through automation, incident response, debugging, and collaborating on SLOs. While the company emphasizes an 'agentic enterprise' and AI as a collaborator, this specific role is in Production Engineering, not directly building AI models or systems. | — | 0 |
| Software Engineer - Platform Infrastructure Engineering Software Engineer for Platform Infrastructure Engineering at Snowflake, focusing on building and operating highly scalable, resilient, and performant infrastructure for the Data Cloud Platform. The role involves simplifying large-scale infrastructure, improving reliability, enabling global operations, managing complex infrastructure changes, and maintaining high SLOs. It requires strong software engineering fundamentals, cloud computing experience, and proficiency in areas like container platforms, automation, networking, and infrastructure as code. | — | 0 |
| Senior Corporate Counsel 1 - Commercial This role is for a Senior Corporate Counsel specializing in commercial transactions for a SaaS company. The candidate will partner with sales teams, negotiate agreements, provide legal advice, manage risk, and support process improvements, including the use of AI tools. Experience with regulated customers and generative AI offerings is a plus. | — | 0 |
| Major Account Executive (FSI) Major Account Executive for Snowflake in the Financial Services sector in Germany. The role focuses on building and expanding strategic relationships with large clients, owning account strategy, orchestrating Snowflake solutions, and driving revenue growth. Responsibilities include prospecting, developing opportunities, closing complex business, managing forecasts, and ensuring customer satisfaction. Requires extensive field sales experience, particularly in data or cloud technology, with a focus on strategic and complex customers, and experience closing large deals within the Financial Services industry. | — | 0 |
| Executive Assistant, Product Snowflake is looking for an Executive Assistant to support Product Management leadership. The role involves managing calendars, travel, expenses, organizing events, and coordinating with customers and partners. The ideal candidate will have strong organizational, communication, and project management skills, with a proactive and adaptable approach to supporting a fast-paced team. | — | 0 |
| GLOBAL ACCOUNT MANAGER (Manufacturing) This role is for a Global Account Manager at Snowflake, focusing on building and expanding relationships with large enterprise customers in the manufacturing sector. The role involves developing account strategies, orchestrating internal and partner resources, driving revenue growth, and ensuring customer satisfaction. While the company emphasizes an 'agentic enterprise' and 'AI-native thinkers', the core responsibilities are sales and account management, not direct AI/ML development or research. | — | 0 |
| GLOBAL ACCOUNT MANAGER (FSI) This role is for a Global Account Manager focused on the Financial Services and Insurance (FSI) sector. The primary responsibility is to build, deepen, and expand strategic relationships with large enterprise customers, owning the overall account strategy, orchestrating Snowflake and partner ecosystems, and driving revenue growth. The role involves prospecting, developing opportunities, closing complex business, negotiating with C-level executives, managing internal stakeholders, and ensuring customer satisfaction. While the company emphasizes an 'AI-native' culture and the 'AI Data Cloud', this specific role is a sales function that does not directly build or ship AI models or systems. | — | 0 |
| Senior Account Executive, SLED This role is for a Senior Account Executive focused on the Public Sector (SLED) at Snowflake. The core responsibilities involve developing strategic relationships, identifying and closing new business opportunities, acting as a trusted advisor to customers, and driving thought leadership. The role requires extensive sales experience, a deep understanding of public sector procurement, and the ability to manage complex sales processes. While the company emphasizes an AI-native approach and using AI as a collaborator, this specific role is in sales and does not involve building or shipping AI models or systems. | — | 0 |
| Software Engineer Snowflake is looking for Software Engineers to develop in-house connectors for their data platform, focusing on exposing APIs and frameworks for other developers to create their own connectors. The role involves designing and developing data integration and processing applications, extending a connector platform, optimizing performance, and collaborating with PMs and customers to translate business requirements into solutions. The ideal candidate has 3+ years of experience in Java, building large-scale distributed cloud systems, and SQL. | — | 0 |
| Senior Software Engineer Senior Software Engineer at Snowflake focused on developing in-house connectors to external systems and data warehouses, exposing APIs, blueprints, and frameworks for other developers to create their own connectors. The role involves designing and developing data integration and processing applications, extending a connector platform, optimizing performance, and collaborating with various teams and customers. | — | 0 |