
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.
Enterprises are modernizing data platforms at an exponential rate to meet demands for innovation, specifically with the rise of
Generative and Agentic AI. As the leading AI and BI platform, Snowflake requires a secure-by-design foundation to drive business
value. The Security Applied Field Engineering (AFE) organization is at the forefront of this effort, ensuring that security is a
strategic accelerator rather than a bottleneck.
As a Senior Security Architect on the Applied Field Engineering team, you will drive strategic customer engagements and build the
prescriptive frameworks required for the modern era. You will transition customers from legacy, siloed security tools to a unified
Security Data Architecture. You will partner closely with Sales, GTM, Engineering, and Marketing to help customers transform their
business within the Snowflake AI Data Cloud while maintaining a world-class security posture.
across Identity, Data, and Infrastructure for applications built on Snowflake.
state-of-the-art LLMs directly to customer data within a secure environment.
tasks while inheriting Snowflake's native security perimeter.
through rigorous monitoring and tracing.
automated actions.
infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake.
Security, and Encryption to accelerate well-architected deployments.
including multi-region deployment patterns and measurable recovery outcomes.
accelerate new use case deployments, and adoption of new platform functionality.
teams, translating customer needs into actionable feedback.
and presentations to both technical and business stakeholders.
architects.
strategies using tools like Cortex Guard.
agent-driven actions.
training and inference data.
platform level.
and implementing robust Role-Based Access Control (RBAC) models across cloud and on-premises environments.
zero-trust principles, and secure deployment of services like Apache NiFi.
Security Standards, network policies, service mesh), and managing secrets within Kubernetes.
2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing.
strategy.
workloads.
Industry Certifications: CISSP
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.
The application window is expected to be open until June 17, 2026. This opportunity will remain posted based on business needs,
which may be before or after the specified date.
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. 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
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 At Snowflake, we are powering the era of the agentic enterprise. 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 platform for Data Engineering, Analytics, AI and Apps and Collaboration. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud. snowflake.com WHO YOU ARE We are seeking a senior Brand AI Architect to help formalize and scale how AI powers brand management and execution in the world of AI. The ideal candidate is a technically deep builder with a strong foundation in design and brand systems — someone who can ship AI-powered tools and automation one day, and run an enablement session for the marketing team the next. You'll work across multiple brand teams and surfaces acting as both the architect who builds the systems and the partner who makes sure they're adopted, governed, and sustained. This role sits at the intersection of engineering, brand execution, and systems thinking. Join our creative and enthusiastic team, where your work will directly shape how one of the most visible brands in technology leverages AI at scale. This role will report into the Director of Brand Strategy and AI Innovation. WHAT YOU’LL DO Build and Ship AI-Powered Tools and Workflows * Build and own a growing library of internal AI tools — custom web apps, Streamlit interfaces, prompt-powered utilities, and automated workflows — that brand teams use in daily production * Design and implement automation pipelines that connect creative tools, content systems, and AI APIs, reducing manual overhead and building in the consistency that brand work requires at scale * Integrate AI capabilities directly into creative production workflows, including generative asset creation tools, design application features, and content workflows using LLMs * Own the full lifecycle of everything you ship — from initial scope and build through deployment, iteration, and ongoing maintenance Enable Adoption Across Brand Teams * Serve as the shared AI implementation resource across brand marketing functions and surfaces — this is a core pillar of the role, not a side responsibility * Educate and enable internal teams on the AI tools and systems you're building — running onboarding sessions, writing accessible documentation, and being the go-to resource for practical AI adoption * Build enablement resources — playbooks, templates, prompt libraries, training — so brand teams can confidently use AI tools without breaking brand standards * Partner directly with each team to understand their specific needs, then build solutions that are reusable across the broader brand org Define and Maintain Governance Standards * Define and evolve the standards that make AI tooling sustainable: prompt libraries, model selection criteria, output evaluation frameworks, and usage guardrails that protect brand integrity * Be the first line of defense on brand consistency in AI-generated outputs across all touchpoints * Surface insights to leadership: what's working, what's not, where the next gaps are Stay Ahead of the Landscape * Evaluate new AI platforms, models, and tools — rapidly prototyping with the ones that have genuine application for brand and creative work * Bring a strong, informed point of view on where AI adds real value versus where it introduces risk or noise WHAT YOU’LL BRING * 8–10 years of combined experience in systems thinking, creative technology, software development, AI engineering, or an adjacent field — with meaningful time spent building tools for creative, brand, or marketing teams * 3–5 years of hands-on AI experience, including production-proven work with LLM APIs (OpenAI, Anthropic, Google, etc.) and advanced prompt engineering. You've built workflows and tools powered by these, not just explored them * Demonstrated experience building automation pipelines using tools or custom scripting that connect APIs, creative platforms, and data systems in real working environments * Solid design foundations — understanding of brand systems, the intent behind creative decisions, and the tools that support brand capabilities * A systems thinker's instinct: you design for the workflow, not just the task. You understand upstream and downstream effects, and you build solutions people can maintain * Strong communication skills across creative and technical audiences. You can explain model tradeoffs to a designer and articulate brand constraints to a developer * The ability to operate autonomously: scope ambiguous problems, make pragmatic calls, and prioritize across multiple teams and workstreams * Knowledgeable and comfortable working within the Snowflake ecosystem and tools PREFERRED SKILLS AND EDUCATION * Bachelor's degree or equivalent experience in Design, Computer Science, Human-Computer Interaction, or a related field * Record of building tools that teams adopt and sustain — not just prototypes, but things that stick * Experience working within or directly alongside creative organizations (agency or in-house brand team) with firsthand understanding of how brand and creative production operates * Familiarity with graphic design, web, motion graphics, or video production workflows * Experience implementing AI governance, responsible AI frameworks, or brand compliance systems LET’S DO THIS! The Snowflake Brand Marketing team is a tight-knit, dynamic group responsible for shaping the future of the Snowflake brand — and we're rewriting the playbook on how brand teams operate in an AI-first world. We're scaling our team to help enable and accelerate our growth, and we're looking for builders who see AI not as a buzzword but as a fundamental shift in how great brands get built. If you want to work on a team that ships AI-powered tools alongside world-class creative, and you want to play a part in creating a global iconic brand, we want to hear from you. How will you make an 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. We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation. AS A SENIOR TECHNICAL ARCHITECT AT SNOWFLAKE, YOU WILL: Customer Leadership and Advisory * Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations * Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives * Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies * Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues Technical Architecture and Delivery * Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment * Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management * Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery * Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams Cross-Functional Influence * Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction * Mentor and provide technical direction to junior architects and consultants within engagements * Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization OUR IDEAL SENIOR TECHNICAL ARCHITECT WILL HAVE: * BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience * 8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role * Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms * Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance * Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers * Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance * Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership * Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale * Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics BONUS POINTS FOR THE FOLLOWING: * Hands-on experience with generative AI and large language model (LLM) use cases in production * Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise * Background in the services organization of a technology product company * AWS, Google Cloud, or Microsoft Azure Advanced certification(s) * Snowflake SnowPro Advanced Certification(s) * Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment) * Experience as a technical lead on multi-team or multi-vendor delivery programs WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE? Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today. At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms. If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it. How do you want to make your impact? 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