
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’s mission is to mobilize the world’s data as the AI Data Cloud. Our AI & Developer products including CoCo for builders,
CoWork for knowledge workers and well our developer tools like Notebooks, Streamlit, and App Runtime are how we put that mission
into the daily workflows of developers and data teams.
We're looking for a senior Developer Relations leader to own how builders discover, adopt, and succeed with Snowflake's AI and
Developer portfolio, and to build and lead a team of Developer Advocates doing that work. You'll set the developer point of view
for an ambiguous, fast-moving product area, manage and grow a team of DAs, and stay technical enough to set the quality bar
yourself.
Own the developer strategy for AI & Developer tools
adoption path.
Set the technical and quality bar
that withstand customer, field, and launch scrutiny.
Drive launches and reusable adoption systems
dependencies, and follow-on adoption work.
discoverability across human channels, docs, search, AI assistants, community, and partners so wins compound instead of
resetting each launch.
Close the loop between developers and product
product feedback.
Represent Snowflake in the ecosystem
Lead and grow the team
Engineering, Marketing, Community and various field teams.
DevRel ladder.
with a track record of driving measurable developer adoption.
and grow advocates.
and internal partners.
tools/agents, function calling), and hands-on experience building with LLM APIs or agent frameworks (e.g., Snowflake Cortex,
OpenAI, Anthropic, OSS models).
data and engineering teams.
executive audiences.
and turning ambiguous work into executable plans.
doing.
strategic developer communities.
Our Human Resources Department may use artificial intelligence to support its administrative processes.
This role is available and may represent a new position.
This role is exempt from Ontario’s job posting requirements.
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. 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. AS A SENIOR PRODUCT MANAGER AT SNOWFLAKE, YOU WILL: * Build and champion a product roadmap for a differentiated Interactive Analytics experience that wins customers and workloads in one of the most competitive segments of the data analytics industry * Partner closely with customers to make them successful — understanding their workloads at a technical level, solving their hardest problems, and turning them into vocal advocates * Shape Snowflake's positioning and go-to-market — collaborating with sales, marketing, and developer relations to drive awareness, adoption, and revenue growth * Partner with a large engineering team to translate customer pain and competitive intelligence into technically sound, compelling product decisions. * Define how Snowflake Interactive Analytics powers the emerging world of AI agents and agentic workloads, positioning it as the native low-latency data tier for the next generation of AI applications * Use AI tools daily to prototype, spec, and analyze — moving at a pace that gives Snowflake a compounding advantage OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE: * 4+ years of product management experience on database and/or analytics products * Deep technical fluency in database engines — enough to sit with a principal engineer or a demanding customer DBA, understand their workload in detail, identify root causes, and propose meaningful solutions * Hands-on experience with high-concurrency low-latency data products — ideally in BI or streaming analytics (ClickHouse, Apache Pinot, Materialize, Rockset, SingleStore, or similar); OLTP experience is also valued * Strong product instincts and a proven track record of holding a high bar on technical products * Demonstrated ability to influence without authority — you can make the case for bold product changes to skeptical principal engineers, cross-functional partners, and senior executives * Comfort with ambiguity and zero-to-one conditions — the path isn't defined, and that's what makes it interesting to you * Ability and bias to use AI tools to accelerate your work — from prototyping and analysis to spec writing and customer research 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. ABOUT THE ROLE We're hiring someone to build the playbook for how we drive practitioner adoption of new capabilities, and bring new practitioners into the platform. You'll pick a segment (data engineers, ML engineers, analytics engineers), pair it with a use case, and figure out what it takes to get practitioners from awareness to activation. That means developing real knowledge of your audience: what they care about, where they spend time, what resonates, and what falls flat. Then working cross functionally to assemble the right assets, sequence them into an exciting journey that leads to adoption, and getting your campaign in front of the right people across owned, paid, in-product, and partner channels. What you're building is a closed loop. Each campaign is instrumented so you can see what actually worked. Did practitioners activate? Did usage stick? How quickly did they find value? Each round of learning makes the next one sharper. The insights you generate don't stay with you; they feed back to marketing, product and account teams to drive broader adoption across organizations. If you want to own the full arc from choosing the audience to designing the playbook to shipping the campaign to building the feedback loops that make it all compound over time, this is that role. WHAT YOU'LL DO * Own campaigns to drive practitioner use case adoption from audience selection through execution and measurement. For example, showing data engineers how to multiply data modeling impact with an AI-powered coding assistant, or helping ML engineers discover on-platform model serving. * Develop deep knowledge of your target practitioner segments: what they care about, where they spend time, what resonates, and what falls flat. * Assemble campaign assets from across the organization (docs, guides, workshop content, videos, references) and sequence them into a journey that takes practitioners from curious to committed * Execute the campaign strategy across owned, paid, earned, in-product, and partner channels, working with and coordinating across other functions as needed. * Measure campaign impact through adoption outcomes. Did the audience activate? Did usage stick? How quickly did practitioners find value? * Build audience intelligence that informs the next campaign and gets shared with PMM, DevRel, and account teams. * Share adoption insights with account teams to help drive broader organizational adoption. ABOUT YOU * 5+ years in developer marketing, growth marketing, technical product marketing, or developer relations — ideally somewhere you marketed to data practitioners or developer tool users * You start with the audience, not the channel. "Who is this for and what do they care about?" comes before "let's do a webinar" * You've shipped multi-channel campaigns end-to-end — strategy through execution, not just decks * You think in funnels, cohorts, and adoption curves. You care about whether people found value, not just whether they clicked. Comfort with SQL or BI tools is a real plus * You get things done through people you don't manage. You'll partner with PMM, EPD, DevRel, Community, and Integrated Marketing daily * You're technically fluent — you can follow an API tutorial, read a SQL query, and understand why a data engineer cares about a particular workflow, even if you're not writing production code yourself * You use AI tools in your own work and you understand how AI is changing what developers do — because that's what you'll be helping them discover BONUS POINTS * You've marketed to data engineers, analytics engineers, or ML engineers specifically * You've been in DevRel or a growth PM role and want to be closer to measurable practitioner impact * You've connected marketing efforts to real adoption outcomes — not just form fills or pipeline attribution * You know the data and AI ecosystem: dbt, Airflow, Spark, Jupyter, notebooks, or similar * You've been the person who had to prove a campaign changed user behavior, not just generated activity 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