Technical Lead Manager - Frontend, Cortex AI

Staff Software Engineer - AI Products

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. ABOUT THE AI PRODUCTS TEAM The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily. This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses. Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications. AS A STAFF SOFTWARE ENGINEER ON AI PRODUCTS, YOU WILL * Lead the design and delivery of large, complex initiatives spanning multiple teams, turning ambiguous product and platform opportunities into durable technical solutions. * Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are shared, discovered, governed, and invoked across Snowflake surfaces and third-party agentic environments. * Define and evolve the APIs, metadata models, runtime discovery systems, and sharing protocols that make enterprise assets usable by AI agents and developer workflows. * Partner closely with product managers, designers, and platform teams to deliver high-impact customer experiences that raise the bar for AI-native collaboration on Snowflake. * Act as a technical owner for critical product areas with a strong focus on service health, quality, customer impact, reliability, and long-term maintainability. * Identify systemic issues affecting customer experience or engineering velocity and drive cross-team solutions that endure beyond a single launch or component. * Use sound engineering judgment to make trade-offs across product value, technical complexity, scalability, and strategic importance, with an eye toward Snowflake’s broader company goals. * Mentor other engineers, raise the quality bar in code and design reviews, and help develop technical expertise across the team. * Contribute hands-on across the stack as needed, from backend systems and APIs to user-facing product experiences, in service of shipping meaningful customer value. OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE * 9+ years of professional software engineering experience, including ownership of large-scale production systems. * A track record of leading large projects or very complex cross-team efforts from problem definition through architecture, execution, and rollout. * Deep expertise in at least one core area such as distributed systems, data/application sharing, or AI-powered product surfaces, along with the ability to contribute outside their primary domain when the problem demands it. * Strong backend engineering skills in one or more of Java, Go, Python, or similar languages, plus enough product or frontend fluency to help shape end-to-end user experiences. * Experience designing APIs, service architectures, and platform abstractions that scale reliably and are easy for other teams to build on. * Demonstrated ability to work effectively in ambiguity, use data and analysis to drive decisions, and build alignment across engineering and cross-functional stakeholders. * Strong product and customer instincts, including the ability to anticipate future needs and translate them into technical plans. * Excellent written and verbal communication skills, including experience authoring technical roadmaps, design docs and driving technical discussions across teams. * BS/MS in Computer Science or a related field, or equivalent practical experience. BONUS POINTS FOR * Experience with agentic workflows, MCP servers, LLM integrations, semantic search, or AI-assisted product experiences. * Familiarity with marketplace, data-sharing, application platform, or ecosystem-style products. * Experience building governance, metadata, discovery, or catalog systems for enterprise platforms. WHY JOIN THIS TEAM This is a chance to shape how Snowflake customers expose data and applications to AI systems in a secure, governed, and highly usable way. The work sits at the intersection of platform engineering, product innovation, and AI transformation, and it directly influences how the Data Cloud evolves for the next generation of customers and builders. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior Web Engineer

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. WHO WE ARE Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. WHO YOU ARE As a Senior Web Platform Engineer, you are a hands-on, full-stack individual contributor and a driving force behind Snowflake's global corporate website — a high-traffic, public-facing platform built on Adobe Experience Manager (AEM) Cloud with server-side rendered React. You move fluidly between frontend and backend, bringing deep expertise across React, TypeScript, Java, and AEM's content platform, and you thrive at building fast, accessible, and scalable web experiences that drive engagement and conversion. You're joining a team that is actively redefining what a website — and a web team — looks like in an AI-native world. We don't just use AI coding assistants. We're building and deploying autonomous AI agents across our entire workflow: agents that build pages, agents that run QA, agents that manage translations, agents that generate structured data and optimize content at scale. And we go further than most — we're actively integrating Snowflake's own AI products directly into the website, creating a bi-directional relationship between the platform and the product. If the idea of working alongside AI teammates, shipping AI-powered web experiences, and using the product you're helping market excites you as much as it excites us, this is the role. You operate with a product mindset, balancing technical excellence with business impact, and you're energized by the challenge of modernizing a large-scale platform while simultaneously pioneering new ways of working with AI. On a small, high-impact team, you wear many hats — writing code one hour and leading a cross-functional meeting the next. You are comfortable mentoring vendor and global engineering partners and influencing outcomes through technical leadership and collaboration. This role reports to the Senior Manager, Web Engineering and sits within the Global Web team as part of the Brand Marketing organization. WHAT YOU’LL DO * Ship features, fix bugs, and improve the platform daily across the full stack — React components, server-side rendering, Sling Models, OSGi services, servlets, and content APIs. This is a hands-on coding role first, with technical leadership layered on top. * Contribute to the team's AI agent ecosystem: help design, build, test, and improve autonomous agents that handle page creation, QA validation, content translation, structured data generation, and other workflows that traditionally required manual engineering effort. * Build frontend experiences and backend services for AI-powered features, including chatbot interfaces, automated translation, personalized content delivery, and intelligent search — leveraging Snowflake's own AI products. * Drive ongoing platform modernization — caching strategies, performance optimization, and architectural improvements that keep the site fast, scalable, and future-proof. * Take projects from scoping through delivery, collaborating cross-functionally with teams like SEO, Developer Relations, Product Marketing and more. * Uphold and champion coding standards, accessibility requirements (WCAG AA), and testing practices across internal and vendor teams. * Build and maintain integrations with external services, including analytics platforms, CDN layers (Cloudflare, Fastly), third-party APIs, and Snowflake's own AI products. * Collaborate with vendor and global engineering partners, providing technical direction and code reviews to ensure quality and consistency. WHAT YOU’LL HAVE * Proactive self-starter with a strong sense of ownership and initiative. * Full-stack expertise spanning React/TypeScript on the frontend and Java/AEM on the backend, with hands-on experience delivering across both layers. * Hands-on experience with Adobe Experience Manager (AEM) — Sling Models, OSGi services, HTL, and content APIs. * Demonstrated success driving measurable performance improvements on large-scale, public-facing websites. * Strong understanding of web performance fundamentals — Core Web Vitals, rendering pipelines, caching architectures, query optimization, and async processing. * Genuine enthusiasm for AI-augmented development — not just using AI tools, but actively shaping how AI agents participate in engineering, QA, content, and operational workflows. * Strong cross-functional collaboration and communication skills, with the ability to lead meetings, align stakeholders, and drive decisions across design, engineering, marketing, and operations teams. * Experience championing technical standards and mentoring other engineers, including vendor and global teams. * A pragmatic, outcome-focused mindset with strong attention to detail and code quality. * Experience working in fast-paced environments with competing priorities and high expectations. * Quick to understand complex enterprise platforms and multi-layer delivery architectures. PREFERRED SKILLS AND EDUCATION * Minimum of 5–7 years of experience in full-stack or frontend/backend web engineering, ideally supporting large-scale, public-facing B2B or enterprise websites. * Deep AEM Cloud experience and familiarity with modern AEM development patterns. * Experience with server-side rendering frameworks and client-side hydration patterns. * Experience designing caching strategies (in-memory, CDN, application-level) and optimizing backend performance for high-traffic environments. * Experience working with AI/LLM-powered tools, agents, or workflows in an engineering context — whether building AI features, integrating LLM APIs, designing agent systems, or using AI-assisted development tools to meaningfully accelerate delivery. * Familiarity with CDN and edge platforms (Cloudflare Workers, Fastly, Dispatcher) and content delivery optimization. * Familiarity with web analytics platforms (Adobe Analytics, Heap) and experimentation tools (Adobe Target, Optimizely). * Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. * Experience working within Agile or iterative delivery environments. LET’S DO THIS! The Snowflake web team is a tight-knit, dynamic group responsible for shaping the future of the Snowflake brand — and we're rewriting the playbook on how web teams operate in an AI-first world. We're scaling our team to help enable and accelerate our growth, and we're looking for engineers who see AI not as a buzzword but as a fundamental shift in how great websites get built. If you want to work on a team that ships production AI agents alongside production web experiences, and you want to play a part in creating a global iconic brand, we want to hear from Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Senior Manager, Product Data Science

Snowflake

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We’re looking for a Senior Manager to lead our App Experience & Marketplace Data Science team in the Product organization. You will lead a team covering app experience (UI, growth platform, analyst/admin/data engineer tools and experience) and data marketplace areas. * Well designed high value apps are essential to make it simple for our customers to complete billions of SQL queries, deploy python, and use powerful AI tools every day * Data marketplace makes it easy with a click of a button to get access to a wide range of 3rd party data instead of having to contact a sales representative at a data vendor and setup and maintain a complex API. All the projects above allow the data scientist to work on very large datasets, and a variety of diverse interesting projects that span the domains of data engineering, analytics, statistics, and machine learning. In this role, you will both lead a team, and be hands-on as a tech lead in this area. The manager will interact frequently with senior management, product managers, and engineering managers. The ability to effectively communicate complex technical ideas to a wide audience is crucial. IN THIS ROLE YOU WILL: * Serve as the tech lead/manager of a Data Science team in the Product organization, leveraging AI tools and functions (e.g., Cortex AI functions, Agents, CoCo) to accelerate product development and data-driven decision-making. * Mentor team members in core DS disciplines and on the effective and governed use of generative AI tools, including establishing AI best practices and guardrails. * Drive the team's focus toward AI-native deliverables, such as building out Agentic services, semantic views, and conducting AI evaluation for new product features, strategically shifting away from automatable work. * Be hands-on by serving as the primary data scientist on projects, specifically focusing on validating the accuracy and output quality of AI-powered analysis and developing POCs for new AI-driven product features. * Partner with technical and business stakeholders to not only come up with solutions to stated problems, but encourage and enable the team to develop bottoms up ideas. * Maximize the impact of the team, by making sure the data scientists have the best and correct context, and ensuring their skill sets are properly matched to the project. * Grow the team, when appropriate. Convince job candidates on why Snowflake, and the product data science team is an awesome place to work QUALIFICATIONS: * Masters or PhD in Math/Statistics, Engineering, Computer Science, Science or related quantitative field * 10+ years experience as a Data Scientist * 5+ years of experience in building, managing, and leading a high-performing data science team * Experience in using data science to optimize the user experience. * Expert in SQL and Python. * Demonstrated experience with internal AI tools to build scalable data pipelines and drive analytical workflows. * Advanced knowledge/experience in machine learning and Large Language Models (LLMs), including the ability to critically evaluate and validate AI/ML outputs (e.g., using AI evaluation methods and understanding the limitations of AI Functions). * Ability to communicate and influence complex ideas to cross-functional stakeholders. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com