
Snowflake · CA-Menlo Park
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...
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.
Snowflake is building the world's best AI data platform — and Interactive Analytics is one of our foundational bets in that
vision. We aim to deliver the fastest analytical query engine in the world and make it delightfully easy to use, seamlessly
integrated into the Snowflake data platform.
Designed for high-concurrency, low-latency query workloads, Interactive Analytics powers the AI agents, BI dashboards, and
real-time data applications that the world's most demanding data organizations depend on.
As the Product Manager for Interactive Analytics, you will set the bar for what "fast" means for Snowflake and for the data
analytics industry — and then you'll build it. This role sits at the intersection of deep database technology and high-stakes
product strategy, in a market where the customers are vocal, competition is real, and the opportunity is enormous.
one of the most competitive segments of the data analytics industry
hardest problems, and turning them into vocal advocates
awareness, adoption, and revenue growth
compelling product decisions.
native low-latency data tier for the next generation of AI applications
their workload in detail, identify root causes, and propose meaningful solutions
Pinot, Materialize, Rockset, SingleStore, or similar); OLTP experience is also valued
engineers, cross-functional partners, and senior executives
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
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
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 are hiring a Senior Product Manager for our CoWork team. Snowflake CoWork is how enterprises interact with their data through AI — instead of writing queries or navigating dashboards, business users ask questions in plain language and get answers, visualizations, and insights. We believe the most important battle in AI right now is the context layer, and Snowflake is positioned to win it. This is a hands-on, 0→1 building role on a small, high-velocity team: you'll own how people actually reach and use CoWork — in Slack, Microsoft Teams, and on mobile — surfaces that are largely unbuilt today. There's no playbook for what "CoWork in Slack" should be; figuring that out and driving it forward with engineering is the job. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: * Build new product surfaces from scratch — define and ship what CoWork should be in Slack, Teams, and on mobile/iOS. These are blank-page problems where you bring the thinking, strategy, and execution to invent experiences no one has built yet. * Go deep technically — reason through how each surface ties into the complex matrix of user roles, privileges, data access, and agents. Partner closely with engineering and get into the architecture, not from the sidelines. * Drive execution in ambiguity — operate without a defined playbook, hold together the many moving parts of an early-stage product, make calls, and push things forward. * Expand enterprise adoption — help take CoWork from a small cohort of power users inside the world's biggest companies to the rest of their organizations, using these new surfaces as the avenue. * Partner cross-functionally — work shoulder-to-shoulder with engineering, design, and product leadership to ship integrated experiences and influence the roadmap. * Engage directly with customers — understand how real business users work and translate that understanding into product, building genuine credibility with the people you're building for. OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE: * 5+ years of product management experience, or equivalent experience in engineering, data, or a related technical field * A track record of building with AI, not just consuming it — has taken a real problem and shipped a system to solve it (personal projects count as much as professional ones, e.g. a system that triages bugs and maps them to conversation volume, or a workflow that preps for meetings by running notes against a model) * Technical depth — can reason about systems, APIs, and agents and hold their own in architecture discussions * An entrepreneurial mindset and comfort with ambiguity — structures messy problems and has a strong bias to action * Strong product sense — knows what makes software good, when to cut scope, and how to drive decisions * A fast-learning orientation — has ramped quickly on unfamiliar domains and turned that into real output * A Bachelor's degree in Computer Science, a technical/analytical field, or equivalent practical experience BONUS POINTS FOR THE FOLLOWING: * An engineering or deeply technical background — you can read and reason about code and systems * Side projects or independently built tools that solve real problems with AI * Experience building agentic or LLM-powered products * A trusted referral from someone we know and respect WHY JOIN OUR COWORK TEAM AT SNOWFLAKE? CoWork brings Snowflake to every employee in an organization — not just data teams. You'll join a small, high-velocity team at the frontier of how enterprises put AI to work, owning surfaces that don't exist yet and shaping what they become. We index on raw talent and learning velocity over years of experience or a specific résumé — direct experience in our exact problem space is not required. If you thrive on blank-page problems and want to define a category rather than optimize an existing one, this is the seat. How do you want to make your impact? 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
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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. ABOUT THE ROLE As a Senior Product Manager at Observe by Snowflake you will lead a cross-functional team to define and execute the product roadmap across core product areas -- Logs, Metrics, Traces, Data Management, AI and more. You will set strategy grounded in deep customer empathy, drive prioritization across competing enterprise demands, and shape a product processing thousands of TB/day of telemetry. This is a high visibility role where you will interact with internal and external stakeholders regularly and have the ability to shape the product’s direction RESPONSIBILITIES * Define and own the product roadmap for one or more areas; set strategy, prioritize ruthlessly, and deliver against adoption, migration, and cost-efficiency goals * Lead enterprise customer discovery to translate observability pain points into product requirements and drive product adoption * Partner with engineering, GTM, and Snowflake platform teams to execute quarterly plans and align on integration opportunities (Cortex AI, Iceberg, Snowflake Intelligence) * Represent product in high stakes situations to customers, partners, and leadership through crisp PRDs, specs, and strategy presentations * Drive 0-to-1 & 1-to-N Initiatives: Identify emerging patterns and turn them into scalable, GA-ready product offerings. REQUIREMENTS * 6+ years of PM experience, with 3+ years on infrastructure, developer tools, or observability platforms * Deep familiarity with observability concepts (logs, metrics, traces, APM, alerts) and cloud-native architectures * Technical fluency in distributed systems, streaming ingest, and open standards (OpenTelemetry, Iceberg) * Proven track record shipping in competitive enterprise markets and displacing incumbents * Strong communicator who can align cross-functional teams and navigate the complexity of an acquisition integration * Familiarity with AI/ML and agentic workflows; can demonstrate use of AI tools in their day-to-day BONUS POINTS * Experience with or strong opinions on AI SRE, AIOps, or agentic observability workflows * Exposure to modern data ingestion, storage and retrieval systems including Kafka, SQL, NoSQL, and data warehousing technologies. * Familiarity with the OpenTelemetry ecosystem and open-source community dynamics 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