Snowflake

Senior Product Manager for Applied AI at Snowflake, focusing on bringing generative AI and ML to enterprise customers within the Data Cloud. The role involves owning the end-to-end product lifecycle for AI solutions and services, defining roadmaps, and working with engineering to deliver innovative, easy-to-use AI capabilities. Key responsibilities include cross-functional leadership, customer engagement, commercializing innovation, and shaping business strategy at the intersection of customers, engineering, and GTM.

Software Engineer role focused on building AI-driven migration products for Snowflake. The role involves developing foundations for AI agents that perform code conversion, data migration, and validation, aiming to accelerate application migration to Snowflake. It emphasizes strong software engineering in Python, experience with agentic AI applications (especially code gen), and contributions to agentic frameworks.

This role focuses on enabling partners to build and deploy AI-native applications and ML models on the Snowflake Data Cloud. The Solution Engineer will provide technical expertise, training, and architectural guidance to partners, helping them leverage Snowflake's platform for SaaS native app development, data optimization, and Gen AI solutions. Key responsibilities include running training sessions, developing technical strategies, and assisting partners with deploying ML models and building Gen AI applications within Snowflake.

Software Engineering Intern role at Snowflake, contributing to an AI-focused R&D team building AI-powered products like Snowflake Intelligence. The role involves designing, implementing, and maintaining AI systems, ML pipelines, and optimizing model serving and inference infrastructure.

Senior/Staff Software Engineer on the ML Platform team at Snowflake, focusing on building the next-generation platform for enterprise AI and LLM workloads. The role involves defining roadmaps, designing and executing on ML serving infrastructure, and ensuring operational excellence for customer-facing ML services, with a strong emphasis on LLM inference and serving fine-tuned models.

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.

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.

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.

Product Manager for Snowflake's FinOps and Billing team, focusing on Native FinOps and cost governance. The role involves defining strategy, partnering with engineering, finance, and value engineering, and engaging with the ecosystem to transform cost governance into a competitive differentiator. The ideal candidate will have experience in product management, technical fluency, analytical rigor, and comfort with modern AI and design tools for prototyping.

This role is for an Account Executive in the Media & Entertainment sector, focusing on selling Snowflake's data cloud solutions. While the company emphasizes an 'agentic enterprise' and encourages employees to treat AI as a collaborator, the core function of this role is sales, not building or directly deploying AI/ML models. The role involves understanding customer needs, demonstrating product value, and driving digital transformation using Snowflake's platform, which may include AI-powered features.

Solutions Consultant at Snowflake, responsible for technical deployments of Snowflake to customers, working directly with customers and system integrators. The role involves providing technical expertise, building demos, executing proof-of-concepts, and offering consultative assistance on architecture and implementation. Requires a broad range of skills including data architecture, ETL, security, performance analysis, and analytics, with a focus on SQL and large-scale database technology. Experience with Generative AI, LLMs, and Vector Databases is a bonus.

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.

Senior Solution Engineer for Snowflake's Nordic market, 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 technology, including AI-related capabilities.

Snowflake is seeking a Solution Engineer for the Norwegian market to help customers solve complex data problems using Snowflake's platform, focusing on AI-native solutions and acting as a technical advisor throughout the sales cycle.

This role is for an AI Specialist in the UK region within the Applied Field Engineering team. The primary focus is on technical sales, acting as a trusted advisor to customers, and influencing the design and implementation of AI/ML solutions. The role involves delivering technical presentations, workshops, and demonstrations, and collaborating with product, sales, and marketing teams. Essential technical requirements include experience with Generative AI (LLMs, vector dbs, embeddings, agents), the standard Python ML stack, and coding AI/ML prototypes. Desirable skills include Snowflake experience, Data Engineering, ML Ops, and DevOps/CI/CD.

Snowflake is seeking a Partner Solution Engineer for their SAP Go To Market initiatives. This role involves acting as a technical advisor to customers and partners, educating them on Snowflake's AI Data Cloud capabilities, creating assets and demos, building POCs, and running technical enablement programs. The goal is to drive Snowflake consumption and help partners develop solutions on the platform.

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.

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.

This role is for a Senior Solution Engineer in the Insurance sector in the UK. The primary focus is on understanding customer needs, strategizing solutions using Snowflake technology, and guiding customers through the evaluation and implementation process. While the role emphasizes AI as a collaborator and encourages testing AI capabilities, the core function is solution engineering and sales support, not direct AI/ML model development or deployment.

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

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

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

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

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

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

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

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.

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.

This role is for a Partner Development Manager focused on building and scaling relationships with Systems Integrators and Consulting partners to drive Snowflake's growth in the Japanese market. The role involves cross-functional collaboration to generate joint pipeline, co-sell motions, and enable partners to build Snowflake practices, with a strong emphasis on AI and data ecosystems.

Snowflake is seeking an Account Executive to drive new client acquisition within enterprise businesses, focusing on selling Snowflake's solutions in the context of the 'agentic enterprise' era. The role involves prospecting, developing, and closing business, managing the sales process, and acting as a trusted advisor to clients by understanding their IT roadmaps. While the company emphasizes AI's role in the future of work, this specific role is focused on sales and client acquisition, not direct AI/ML model development or deployment.

This role is a post-sales Technical Account Manager focused on helping enterprise customers derive sustained operational value from Snowflake's Observe product, which is an observability platform. The TAM will partner with customer SRE, DevOps, and platform teams to integrate Observe into workflows, optimize telemetry, and improve reliability, performance, and cost efficiency. The role requires strong experience in observability, distributed systems, and cloud-native architectures, acting as a trusted technical advisor.

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.

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

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

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.

Senior Product Manager for Observe by Snowflake, an AI-powered observability platform. This role focuses on owning the enterprise product roadmap, driving enterprise discovery, defining platform capabilities, shaping integrations (including Cortex AI and Snowflake Intelligence), partnering with GTM teams, and leading 0-to-1 initiatives for large enterprise customers. The ideal candidate has extensive product management experience in enterprise SaaS, observability, and infrastructure, with a strong understanding of enterprise requirements like security and compliance, and demonstrated use of AI tools.

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

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

This role is a Sales Solution Architect focused on AI/ML workloads at Snowflake. The primary responsibility is to lead the pre-sales motion, understanding customer business problems, designing solutions leveraging Snowflake, and guiding customers from concept to deployment. It involves technical expertise, POC development, and collaboration with various internal teams and external partners.

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.

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.

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.

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.

Senior Field Marketing Manager for Snowflake's EMEA go-to-market, owning field marketing strategy for Scandinavia. Focuses on pipeline generation, brand presence, and customer engagement in an enterprise buyer landscape increasingly shaped by AI. Responsibilities include event management, integrated marketing campaigns, account-based marketing, and aligning marketing investment to revenue priorities. Requires 8+ years of experience, strong strategic planning, and proficiency in marketing automation tools. Experience with AI/GenAI tools for marketing acceleration is preferred.

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

This role focuses on building AI-powered conversational analytics experiences for legal teams using Snowflake Cortex. The responsibilities include owning the data layer, logic, and quality of these AI experiences, translating stakeholder needs into working products, delivering actionable insights, and maintaining rigor through testing and validation. The role also involves contributing to access and security design for sensitive legal data.

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.

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.