CA-Menlo Park•Publicerad: 18 apr.•Sista ansökan: 17 aug.
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
CA-Menlo Park•Publicerad: 18 juni•Sista ansökan: 17 aug.
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.
The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise
customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed
Product Manager to lead the product vision and execution for our AI Solutions and Services.
In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for
understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative
solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our
forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are
obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role
for you.
AS A SENIOR APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:
* Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will
architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development,
launch, and the analysis of metrics to ensure a successful impact.
* Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data
scientists, and solution architects. You will drive execution, partner with design, marketing, and sales to bring products to
market, and act as the evangelist for your product vision.
* Be the Voice of the Customer: Act as the critical bridge between customer objectives and our technical capabilities. You will
engage deeply with users and executives to gather insights, validate hypotheses, and ensure the solutions you build solve their
most pressing, high-value problems.
* Commercialize Innovation: Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable,
repeatable products. You will own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features.
* Shape Business Strategy: Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define
product strategy and execute on high-stakes business goals.
OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:
* A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
* 7+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud
services.
* Deep technical fluency to confidently lead architectural discussions with senior engineers and have hands-on experience with
data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows).
* Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap.
* Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges.
* Exceptional executive presence and communication skills. You can command a room of C-level stakeholders and inspire a team
around a shared vision.
* A "get it done" attitude with a passion for building exceptional products.
BONUS POINTS (NICE TO HAVES):
* Experience building and launching products for developers or data scientists.
* Familiarity with the Snowflake platform and Data Cloud ecosystem.
* Management consulting experience.
* Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving
focus.
* Experience in a role that directly supported a professional services or forward-deployed engineering team.
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
CA-Menlo Park•Publicerad: 1 maj•Sista ansökan: 17 aug.
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 Horizon Catalog is the context and governance layer of the Snowflake AI Data Cloud. AI is fundamentally transforming how
enterprises monitor and trust their data: instead of manually configuring thresholds and triaging failures, AI-powered anomaly
detection fires on freshness and volume deviations automatically, agentic root cause analysis traces quality failures back to
their upstream source in minutes, and intelligent lineage surfaces the blast radius of any schema change before it reaches a
dashboard. Snowflake's native Data Observability capabilities — Data Metric Functions, graphical column-level lineage, anomaly
detection, and AI-powered root cause analysis — are the foundation of this next-generation trust layer.
We are seeking a Senior Product Manager to own the Data Observability product area, spanning Data Quality, End-to-end Lineage, and
Root Cause Analysis. You will define the strategy for how Snowflake competes and wins against best-in-class observability
platforms, drive the AI-first transformation of how enterprises detect and resolve data quality failures, and lead a
high-performing cross-functional team to deliver capabilities that make enterprise data pipelines self-healing and self-explaining
at scale.
AS A SENIOR PRODUCT MANAGER – DATA OBSERVABILITY AT SNOWFLAKE, YOU WILL:
* Own the AI-First Product Vision and Strategy: Define how AI transforms Data Observability at Snowflake — from manual threshold
configuration to autonomous anomaly detection, from reactive debugging to agentic root cause analysis, and from static lineage
graphs to intelligent pipeline health maps. Architect and own the end-to-end product lifecycle from discovery through launch
and adoption.
* Build AI-Powered Observability Capabilities: Drive product development for AI and agentic features across anomaly detection,
lineage-powered root cause analysis, and intelligent data quality monitoring. Partner with Snowflake Cortex AI and Snowflake
Intelligence teams to integrate AI capabilities natively into the observability surface.
* Lead from the Front: Serve as the cross-functional leader for a dedicated pod of engineers and designers. Drive execution,
partner with design, marketing, and go-to-market to bring capabilities to market, and act as the internal and external
evangelist for your product area.
* Be the Voice of the Customer: Engage deeply with enterprise data engineers, data platform leads, and executive stakeholders to
gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing pipeline reliability and
data quality problems.
* Shape Competitive Strategy: Develop a sharp point of view on how Snowflake wins against best-in-class data observability and
catalog competitors — and translate that view into a differentiated roadmap that compounds Snowflake's native platform and AI
advantage.
* Drive Adoption at Scale: Collaborate with customer success and go-to-market teams to convert shipped capabilities into
measurable adoption. Own outcomes, not just output.
OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:
* A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
* 5+ years of product management experience, with a proven track record of shipping successful enterprise data infrastructure,
data quality, pipeline monitoring, or observability products.
* Deep familiarity with AI/ML concepts and agentic workflows; hands-on experience building or shipping AI-powered or AI-augmented
data products is essential.
* Strong understanding of data quality and observability concepts — freshness, volume anomalies, schema drift, lineage, and root
cause analysis — and how AI is reshaping each of these problem spaces.
* Demonstrated ability to develop product strategy and translate it into a concrete, actionable roadmap with measurable outcomes.
* Strong customer empathy and experience engaging directly with enterprise data leaders to understand their most pressing
pipeline reliability and governance challenges.
* Exceptional communication skills with the ability to align cross-functional teams, influence engineering direction, and present
roadmap strategy to executive leadership.
* Fluency using AI tools as a core part of daily product work — not as a productivity add-on, but as an essential operating mode.
BONUS POINTS:
* Prior experience at or deep knowledge of leading data observability and data catalog platforms.
* Familiarity with lineage standards and frameworks (OpenLineage, dbt lineage, Apache Atlas).
* Experience operating in a high-growth, competitive market where you displaced an incumbent.
* Exposure to agentic or AI-powered workflows for automated root cause analysis, intelligent alerting, or data remediation.
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
