Senior AI/ML Architect, Applied Field Engineering

Senior Security Architect, Applied Field Engineering (AFE)

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. OVERVIEW 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. KEY RESPONSIBILITIES FIELD ENGINEERING & SECURITY ARCHITECTURE * Security Architecture Foundation: Drive strategic engagements focused on the Security Architecture, ensuring robust foundations across Identity, Data, and Infrastructure for applications built on Snowflake. * AI Security & Trust Foundations: Support customer strategy for secure AI adoption, leveraging Snowflake Cortex to bring state-of-the-art LLMs directly to customer data within a secure environment. * Architect trusted Agentic AI frameworks where Cortex Agents operate within governed boundaries, autonomously orchestrating tasks while inheriting Snowflake's native security perimeter. * Deploy Cortex Guard and AI Observability to filter harmful content and provide transparent, explainable AI interactions through rigorous monitoring and tracing. * Ensure AI governance by enforcing Role-Based Access Control (RBAC) and data masking across all AI-driven insights and automated actions. * Modern Security Operations (SecOps): Deliver workshops and hands-on engagements to transition customers from legacy infrastructure to advanced SIEM Augmentation, Log Ingestion (Otel/Logs into Snowflake), and Cybersecurity Data Lake. * Governance & Identity: Build repeatable reference architectures and frameworks for Identity (IAM), Data Governance, Row-Level Security, and Encryption to accelerate well-architected deployments. * Resilience & Compliance: Guide customers through end-to-end journeys for BC/DR (Business Continuity/Disaster Recovery), including multi-region deployment patterns and measurable recovery outcomes. * Tooling and Content: Drive the creation of relevant technical content and tooling to showcase security best practices, accelerate new use case deployments, and adoption of new platform functionality. * Voice of the Field: Influence product roadmaps by serving as the Voice of the Field to Snowflake's product and engineering teams, translating customer needs into actionable feedback. CORE EXPERIENCE * 5+ years of industry experience in Data, Security, Networking, Infrastructure or AI Engineering * Communication Skills: Strong technical communications skills with the ability to deliver compelling demos, whiteboard sessions, and presentations to both technical and business stakeholders. * Customer-facing Skills: The ability to act as a trusted advisor and establish credibility with senior leadership and enterprise architects. RELEVANT SECURITY SKILL SETS * Generative AI Security: Deep understanding of LLM security risks (e.g., prompt injection, data leakage) and mitigation strategies using tools like Cortex Guard. * Agentic AI Governance: Expertise in governing Autonomous Agents, ensuring "Human-in-the-loop" controls and auditability for agent-driven actions. * Data Privacy for AI: Mastery of techniques like Differential Privacy, Data Masking, and Secure Sandboxing to protect sensitive training and inference data. * Platform Observability: Proficiency in observability techniques including logging, monitoring, and distributed tracing on a platform level. * Identity and Access Management (IAM): Expertise in modern authentication/authorization protocols (OAuth 2.0, OpenID Connect) and implementing robust Role-Based Access Control (RBAC) models across cloud and on-premises environments. * Secure Networking: Hands-on expertise in securing cloud and hybrid network architectures, including micro-segmentation, zero-trust principles, and secure deployment of services like Apache NiFi. * Programming: Hands-on expertise with SQL, Python, and APIs. * Container and Kubernetes Security: Proficiency in securing the container lifecycle, from build (image scanning) to runtime (Pod Security Standards, network policies, service mesh), and managing secrets within Kubernetes. * Governance, Risk, and Compliance (GRC): Strong background in aligning security programs with regulatory frameworks (e.g., SOC 2, HIPAA, GDPR) and managing security risk through continuous monitoring and auditing. COMPLIANCE & STANDARDS (NICE TO HAVE) * AI Regulatory Knowledge: Understanding of emerging AI regulations (e.g., EU AI Act) and their impact on enterprise data strategy. * Trust Certifications: Familiarity with how Snowflake’s AI Trust Center maps to SOC2, HIPAA, and HITRUST requirements for AI/ML 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. 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

Industry Architect – Retail & Consumer Goods

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 ROLE As an Industry Architect for Retail & Consumer Goods, you sit at the intersection of industry strategy, data, AI, and modern enterprise architecture. You will help leading retailers, brands, marketplaces, grocers, restaurants, and consumer goods companies reimagine how they operate, decide, and engage on top of Snowflake’s AI Data Cloud. Your mission is to turn high-value retail and consumer goods challenges into scalable data and AI solutions: from merchandising, supply chain, and store operations to loyalty, retail media, marketing, customer care, finance, and product content. This role goes beyond commerce alone. You will help shape how customers use Snowflake to power analytics, applications, agentic workflows, and AI-driven decisioning across the full retail value chain. You will pair deep industry understanding with modern data and AI architecture, partnering with field teams, product, marketing, and customers to shape how Snowflake shows up in Retail & Consumer Goods. You will alsohelp convert emerging Snowflake capabilities into repeatable architectures, demos, assets, and points of view that scale globally. This includes learning and leveraging the broader Snowflake product horizon - especially Snowflake Horizon, Cortex, Snowflake Intelligence, semantic layers, multimodal capabilities, and application patterns - and translating them into retail-relevant solutions where trust, governance, discoverability, and interoperability are core to business value. Snowflake is actively seeking a Retail & Consumer Goods Industry Architect to join our Field CTO organization. WHAT YOU’LL DO * Lead strategic customer engagements Partner with CIOs, CDOs, CTOs, enterprise architects, digital leaders, merchandising leaders, supply chain teams, marketing and loyalty leaders, store operations leaders, and data/AI teams on high-impact initiatives tied to business value. * Translate retail and CPG challenges into end-to-end architectures Turn real industry problems into clear solution patterns and roadmaps, including: * demand sensing and replenishment * inventory and fulfillment optimization * store and field operations * loyalty and customer intelligence * retail media and monetization * pricing, promotion, and assortment * customer care and service workflows * product, catalog, and content intelligence * revenue growth and commercial planning * Design agentic and AI-powered business workflows Help customers move beyond dashboards and isolated models toward named agents, copilots, and decision-support experiences embedded in real workflows across digital and physical channels. * Architect the “last mile” experience Design how business users actually experience Snowflake, including: * conversational and natural-language interfaces * embedded AI experiences in partner or customer-facing apps * governed analytics and semantic layers * multimodal workflows that combine structured and unstructured data * operational experiences for business, analyst, and technical personas * Learn and leverage Snowflake’s broader platform capabilities Continuously translate Snowflake Horizon, Cortex, Snowflake Intelligence, semantic layers, apps, clean rooms, marketplace, and interoperability capabilities into retail and CPG architectures. In this industry, those capabilities are core because product, inventory, pricing, loyalty, retail media, customer, and partner data must be discoverable, governed, and usable across internal teams, external ecosystems, and AI-driven workflows. * Build compelling prototypes and demonstrations Create hands-on reference implementations that bring the story to life using Snowflake capabilities such as Cortex, Snowflake Intelligence, Cortex Search, Cortex Analyst, semantic models/views, Streamlit, and related ecosystem integrations. * Create reusable, field-ready assets Package your work into repeatable assets the field can use: * reference architectures and blueprints * workshop kits and persona journeys * demo flows and value stories * industry playbooks and partner patterns * solution points of view and technical narratives * Shape Snowflake’s Retail & Consumer Goods point of view Work with Industry GTM, product marketing, product management, sales, and solution engineering to sharpen Snowflake’s perspective on modern retail and consumer goods architecture, especially as AI becomes embedded into core business workflows. * Be the voice of the customer Surface industry trends, design gaps, and product requirements to help influence Snowflake’s roadmap and improve how our platform supports retail and CPG workloads. * Build ecosystem and partner leverage Collaborate with GSIs, regional SIs, ISVs, data providers, and marketplace participants to define joint solution offerings and accelerate customer value. * Enable others and scale your impact Share your expertise through enablement, customer workshops, blogs, webinars, conferences, and internal best practices so the organization can scale beyond one-off engagements. WHO YOU ARE * Retail and Consumer Goods fluent You have deep understanding of the retail and/or consumer goods landscape and can speak credibly across multiple domains, not just commerce. You understand the operating model, data landscape, and value drivers behind functions such as merchandising, supply chain, store operations, loyalty, retail media, customer care, and finance. * Architect at heart, storyteller by nature You can simplify complex ideas into clear business and technical narratives, create future-state architectures, and guide both executives and practitioners toward a practical path forward. * Hands-on with data and AI You have strong architecture experience across modern data platforms, cloud, analytics, AI/ML, and application patterns. You are comfortable working with SQL and Python and can guide or build prototypes when needed. * Fluent in modern AI patterns You understand how to apply LLMs, RAG, semantic models, search, agentic orchestration, multimodal data, and governed AI patterns to real business problems in Retail & Consumer Goods. You also understand the emerging interoperability and protocol landscape - including MCP for tool connectivity, A2A for agent-to-agent coordination, and commerce/payment protocols such as Google’s Universal Commerce Protocol (UCP), Agentic Commerce Protocol (ACP), and AP2 - and can explain Snowflake’s role as the governed data, context, and decision layer behind those flows. * Customer-facing and outcomes-oriented You are comfortable engaging senior executives and technical teams, facilitating workshops, whiteboarding future-state architectures, and tying technology decisions back to business outcomes. * Collaborative by default You have a track record of partnering effectively across sales, solution engineering, product, partners, and marketing, and you are energized by building assets and motions that others can reuse. PREFERRED BACKGROUND * 10+ years of experience building, consulting on, or implementing technology for Retail & Consumer Goods organizations or business units * Strong understanding of Retail & Consumer Goods data domains, systems, and processes * Experience designing enterprise data, analytics, AI, and application architectures * Familiarity with structured and unstructured data patterns, semantic layers, and text-to-SQL or search-driven experiences * Experience building or guiding data and AI applications such as Streamlit apps, internal tools, copilots, agent experiences, or workflow applications * Understanding of ecosystem tools and partners commonly found in retail and consumer goods environments * Experience with public cloud technologies such as AWS, Azure, or GCP * Strong presentation and communication skills across technical and executive audiences * Ability to quickly establish credibility with senior leadership * Bachelor’s degree required; advanced degree in computer science, engineering, mathematics, business, or related field preferred * Ability and willingness to travel to customer sites, industry events, and related meetings as needed WHAT GOOD LOOKS LIKE IN THIS ROLE * You help customers connect retail business priorities to concrete Snowflake architectures and use cases * You lead strategic engagements where industry expertise changes the outcome * You create assets, workshops, and demos that the field can reuse at scale * You elevate the conversation from data platform to industry transformation * You turn emerging Snowflake capabilities into repeatable, customer-relevant value * You influence both the field and product direction through strong customer-backed points of view OUR COMMITMENT 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. Protecting customer information and maintaining trust is central to this role. 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 20, 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

Business Development Lead - Snowflake for Startups

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. ROLE OVERVIEW The Startup Business Development Lead will be a pivotal member of a small, agile, and global team. This role acts as a coordination overlay across Sales, Marketing, Product, AI Partnerships, Ventures, and Solutions Engineering teams, with the primary goal of targeting and winning workloads from top AI-native startups. The successful candidate will be a strategic thinker with a passion for the AI/ML ecosystem, dedicated to identifying and nurturing high-potential startups and ensuring their growth with Snowflake. This is a business role that requires intimate understanding of evolving AI technologies. Keys to success include proactive founder engagement, disciplined prioritization, cross-functional execution, and a commitment to measurable business outcomes. KEY RESPONSIBILITIES 1. Build relationships with high-priority AI-native startups * Leverage existing networks and cultivate new relationships to secure introductions to founders of high-potential AI-native startups. * Engage founders through direct outreach, partner referrals, industry events, conferences, and targeted networking opportunities. * Create meaningful founder engagement by connecting startup needs with relevant Snowflake product, go-to-market, and customer opportunities. * Leverage technical knowledge of AI to win trust and build collaboration hypotheses. 2. Prioritize the startup landscape and maintain market intelligence * Develop and maintain a categorized list of high-priority startups, including Tier 1 and Tier 2 companies, based on strategic importance, growth potential, funding, technology trends and alignment with Snowflake. * Continuously monitor venture funding activity, startup formation, product trends, and AI/ML ecosystem shifts to refine prioritization. * Partner with Sales, Marketing, Product, AI Partnerships, Venture, and Solutions Engineering to maintain a unified approach to startup outreach and engagement. 3. Drive growth, adoption, and partnerships on Snowflake * Allocate time strategically, with approximately 80% of efforts focused on Tier 1 startups and 20% focused on other high-potential opportunities. * Facilitate introductions between Tier 1 startup founders and Snowflake Executive Leadership Team members, meaning senior Snowflake leaders who can help deepen strategic relationships. * Provide go-to-market support by helping startups understand how Snowflake enterprise customers may evaluate, adopt, and expand startup solutions. * Support Product-Led Growth, meaning self-serve product adoption and expansion, by promoting Cortex AI products to startups not currently built on Snowflake and creating a path for them to move additional data and workloads onto Snowflake. * Collaborate with Sales and Solutions Engineering teams to help them sell Cortex AI products effectively and understand the consumption patterns, buying motions, and adoption needs of startups. 4. Build demand generation and ecosystem visibility * Identify and recommend high-leverage events, sponsorships, and ecosystem programs that enhance Snowflake visibility and generate quality startup leads. * Contribute to workshops, founder programming, PR initiatives, and other content that helps AI startups understand Snowflake offerings and adoption paths. * Design or support scaled events that create meaningful engagement among startups, venture firms, Snowflake customers, and internal Snowflake stakeholders. 5. Measure outcomes and report progress * Use measurement insights to refine startup prioritization, engagement strategy, and cross-functional operating cadence. * Track, and report progress against objectives including priority startup acquisitions, Snowflake commitment contracts, startup influenced consumption via connected apps on Snowflake etc. * Provide regular reports to management on startup engagement progress, outcomes, successes, challenges, and areas for improvement. * Work with Finance and Sales Operations to ensure accurate tracking of startup adoption, usage, commitments, and engagement metrics. QUALIFICATIONS * 8+ years of experience in business development, partnerships, startup ecosystem development, venture capital, corporate venture, GTM, cloud technology, AI/ML, or a related field. * Proven experience supporting high-growth startups at different stages of growth, with preference for candidates who have startup operating experience or have worked closely with founders. * Strong understanding of the AI technology stack, AI startup ecosystem, venture funding trends, cloud and data platform adoption patterns, and key product trends shaping AI-native companies. * Established network across startup founders, venture capital firms, accelerator ecosystems, enterprise technology leaders, and partner organizations. * Ability to translate Snowflake capabilities into startup-relevant value propositions, including product adoption, customer access, GTM support, and workload growth. * Strong executive presence, communication, presentation, and interpersonal skills, with the ability to engage founders, venture partners, senior executives, sales teams, and technical stakeholders. * Founder empathy and strong judgment in balancing startup needs with Snowflake business priorities, customer expectations, and internal capacity. * Comfort with ambiguity and willingness to operate strategically and tactically in a fast-paced, evolving environment. * Data-oriented operating style, including the ability to define metrics, track outcomes, identify patterns, and communicate progress clearly. WHAT SUCCESS LOOKS LIKE IN 12 MONTHS * Built credible, responsive relationships with top venture capital firms and ecosystem partners who help connect with high-priority AI-native startups. * Created meaningful engagements with top-tier AI startup founders and established repeatable paths for moving priority startups toward Snowflake adoption and growth. * Led or supported scaled events and ecosystem programs that drive quality customer engagements, founder participation, and actionable follow-up. * Demonstrated innovative ideas for creating campaigns, events or business development programs that address evolving technology trends or unmet startup needs. * Created a trusted operating rhythm with Sales, Marketing, Product, AI Partnerships, Venture, Solutions Engineering, Finance, and Sales Operations. Reports to Head, Snowflake Startups Additional Details: Hybrid Role: In office 3x per week in Menlo Park, CA 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