Staff Network Engineer in 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 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. Staff Network Engineer Location: MPK/Bellevue/Dublin Snowflake's Enterprise Technology Network Services team is looking for a Senior Network Engineer to lead the design, operation, and optimization of our Zero Trust and secure-access platform. This role is Zscaler-centric — you will own the health, performance, and roadmap of our ZIA/ZPA deployment — while working across a modern, multi-cloud network stack that supports a global workforce of 10,000+ users. You'll be the escalation point for the most complex connectivity issues and a driver of automation and observability across the environment. What You'll Do Own and operate the Zscaler platform (ZIA, ZPA, ZDX, ZCC) end-to-end, including policy frameworks, app-segmentation models, PAC/traffic-forwarding standards, App Connector topology, and NSS/log-streaming design. Troubleshoot secure-access incidents like tunnel flapping, broker/connector health, SSL inspection edge cases, DNS/DTLS failures, and lead root-cause analysis for systemic issues. Manage Palo Alto firewalls, Panorama and GlobalProtect VPN, while planning migration toward Zscaler solutions. Support Aruba (Central) Wireless, Ekahau and Cisco Catalyst switches globally. Design, install, and configure network devices and ISP circuits at new offices. Build automatio

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 looking for a talented and passionate Staff Software Engineer for our Snowpark Container Service , part of our Snowflake Compute Platform - to build our elastic, high-scale, high-performance, cloud native compute platform to enable bringing Compute to Data effortless and simple. Snowpark Container Services is a fully managed container offering that helps our customers easily deploy, manage, and scale containerized applications without having to move data out of Snowflake. As a fully managed service, it comes with Snowflake security, configuration, and operational best practices built in. You will be part of this highly productive, fast moving, and growing team that is critical to realizing Snowflake’s Data Cloud Mission. AS A STAFF SOFTWARE ENGINEER, YOU WILL: Design and develop features, understand customer requirements and meet business goals. Lead a team of engineers, including mentoring and guiding them, and build technical direction and strategy for large and critical parts of the product surface area. Manage all aspects of the Project, including Design, Coding, Reviews, Testing, Observability, Tooling and On-Call support. Build highly reliable and fault-tolerant software to meet the needs of the largest customers. Ensure operational readiness and maintainabilit

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 Cortex team is building the future of AI for enterprise data. This role focuses on the Search infrastructure that powers our flagship products like CoWork, Cortex Code & Cortex Agents fast, reliable, scalable and secure at the enterprise level. You will be building high-performance retrieval engines (leveraging vector search, hybrid search, and semantic indexing) that power Snowflake Cortex. This involves optimizing how billions of rows of data are indexed and retrieved in milliseconds. What you will do in this role: Architect Agentic Runtimes: Build and scale the orchestration engines that execute complex agentic workflows, ensuring low-latency tool execution and robust state management. Scale Context Engineering Infra: Design high-performance systems for RAG (Retrieval-Augmented Generation), including vector database integration, scalable and efficient search indexing, query processing, and result ranking, semantic caching, and automated metadata extraction. Build the "Evals Engine": Develop the automated infrastructure required to run massive-scale golden set simulations, error analysis pipelines, and "hillclimbing" experiments. Productionize AI Workflows: Collaborate with the modeling team to take raw LLM capabilities and turn them into hardened, multi-tenant mi

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 are an AI-first analytics team. We don't use AI to augment traditional BI workflows — we've replaced them. The Finance Analytics team builds the intelligence layer that Strategic Finance runs on: AI agents that encode repeatable finance processes, Streamlit apps that surface real-time insight, semantic models that let any analyst query complex data in plain English, and workflow automations that collapse hours of manual work into a single prompt. Our primary development environment is CoCo (Cortex Code), Snowflake's AI coding assistant, and SnowWork , the AI IDE we ship work in. Every deliverable on this team is built AI-first: you design the workflow, you write the prompt, you validate the output. If you are still building dashboards by hand, refreshing Excel files manually, or treating AI as a spell-checker for your code — this role will ask you to operate differently. This is a high-breadth seat. One week you're building a new AI agent for quarterly revenue analysis; the next you're designing a sensitivity analysis tool for an earnings war room. You are equally comfortable in an AI-IDE, a Python file, and a stakeholder summary for a senior finance leader. What you'll work on AI agent and workflow development (primary focus) Design and build skills and a

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 Cortex CoWork team is defining the future of AI for enterprise data. Our mission is to transform how the world’s largest enterprises interact with their data through flagship products like Snowflake (CoWork) Intelligence . As a Principal AI Engineer , you will be a technical North Star for our AI initiatives. You won't just execute on a roadmap; you will help define it. You will tackle the most complex, "frontier" problems in agentic reasoning, NL-to-SQL, and enterprise-scale RAG, ensuring our AI products are not only innovative but fundamentally reliable and scalable for the Fortune 500. What you will do in this role: Technical Strategy & Architecture: Define the long-term technical vision for Snowflake Intelligence. Lead the architectural design of multi-agent systems, complex tool-use frameworks, and self-correcting NL-to-SQL engines. Drive Industry-Leading Reliability: Move beyond simple evals to build world-class, automated "hill-climbing" infrastructure. You will establish the methodology for how Snowflake measures and guarantees LLM performance across diverse customer schemas. Cross-Functional Influence: Partner with Product and Engineering leadership to align AI capabilities with business goals. You will bridge the gap between Research (modeling) and Product

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 Staff Software Engineer, Product Security for our Security Foundations team. Product security sits at the center of the trust customers place in the Snowflake platform, and this role owns the hard technical problems that keep that trust intact. You will drive security architecture and secure-by-design practices across engineering teams, shaping how new products are built rather than reviewing them after the fact. AS A STAFF SOFTWARE ENGINEER, PRODUCT SECURITY AT SNOWFLAKE, YOU WILL: Set the technical direction for product security across multiple engineering teams, influencing architecture decisions before code is written Design and build security-critical services, frameworks, and controls that other engineering teams adopt as defaults Lead threat modeling and security design reviews for the platform's most complex and high-risk systems Partner with product and engineering leaders to embed secure-by-design principles into the development lifecycle Investigate and drive resolution of the highest-severity security issues, then eliminate the underlying class of problem, not just the instance Mentor senior and mid-level engineers, raising the security engineering bar across the organization Own initiatives end to end, from problem framing and scoping through de

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. Staff Data Scientist, Finance About the Team The Finance Data Science team builds the forecasting and decision systems that power Snowflake's financial planning, operating cadence, and long-term strategy. Our work informs executive decision-making, product and go-to-market priorities, resource allocation, pricing, and cross-functional decisions across Finance, Product, Sales, and Data Science. We are expanding a driver-based revenue modeling platform that translates product and workload activity into trusted financial outcomes. The program began with one product category and will scale a common modeling and publishing framework across Snowflake's product categories. The models are highly visible, refreshed frequently, and designed for self-service scenario planning and business reviews. The Role We are hiring a Staff Data Scientist to lead the next phase of Snowflake's driver-based revenue modeling program. This role is not just about building models. It is about creating reliable, explainable, production-grade decision systems that connect upstream business and product levers to revenue outcomes. You will own high-impact, open-ended problems spanning driver identification, revenue decomposition, leading indicators, cohort and use-case modeling, scenario analysis, and multi

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. Our Data Analytics and AI org (DAA) is actively seeking a Staff Analyst, GTM Analytics to contribute to building our framework to identify opportunities for new logo acquisition and core customer expansion. Examples of deliverables include agentic campaign activation platform, architecting intelligent data foundations, and diving into core org metrics such as ROI and funnel leakage. This is a hybrid (3 days in office) role in Menlo Park IN THIS ROLE YOU WILL: Be a Strategic Partner to Leadership: Partner with Marketing executives to align analytics initiatives with global business objectives — active GTM alignment, technical roadmap strategy, shaping investment decisions, and proactively surfacing insights that move the business, not just inform it. Turn Data into Business Outcomes: Go beyond reporting to influence pipeline generation, conversion optimization, and campaign ROI — presenting complex analytical findings to the team with clarity and impact. You measure success by decisions changed, not dashboards shipped. Master the Analytical Foundation: Maintain deep fluency in the data models, metrics, and pipelines (SQL, dbt, Snowflake) that power GTM reporting. Partner closely with Analytics Engineering and Data Engineering teams to ensure insights are accurately surfaced

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 a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking a highly talented and experienced Staff Software Engineer to join the Unistore team in our Database Engineering org . The Unistore team is building a unified hybrid data platform that dissolves the boundaries between operational and analytical workloads. Our core product, Hybrid Tables, enables enterprises to manage both transactional and analytical data in a single place. By eliminating the need to move data between separate operational databases and analytical warehouses, we simplify architectures, reduce ETL complexity, and unlock high-performance, real-time application serving—all while maintaining Snowflake's industry-leading scale, performance, and ACID compliance. Joining this team means architecting the performance, scalability, and service infrastructure that will empower the world's largest enterprises to seamlessly govern their transactional and analytical data in one place. If you are passionate about building industry-leading tech

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 a high-growth, cloud-native data platform company committed to empowering enterprises to achieve their full potential. With a culture built on impact, innovation, and collaboration, we offer an environment where you can build large-scale systems, move fast, and take your technology career to the next level. We are seeking an outstanding Staff Software Engineer with a passion for large scale databases and distributed systems to help us take the FDB platform to the next level. A massive new market opportunity is being created at the intersection of Cloud and Data, and the Snowflake Data Cloud is leading the way, all powered by the database engine we are building from the ground up. Key to Snowflake’s Database Engine is our large scale distributed transactional Key-Value store - called FDB - which powers all of Snowflake’s products and services and is rapidly evolving to meet Snowflake’s future needs. FDB runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. The elastic infrastructure FDB runs on is being built from the ground up and is envisioned to be a cloud agnostic, fully automated manageability platform that provides: Autoscaling and auto-balancing of clusters based on utilization, traffic and workloads Auto-provis

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 AI BI: a new way for anyone in a company to ask questions and get accurate, auditable answers from their data, whether as visualizations or plain-language insights. We are looking for a senior+ level full-stack engineer to help build this experience end to end. This is not about recreating every long-tail feature from legacy BI tools. We are building something lightweight, composable, and understandable by AI. The goal is to help business users, analysts, and data teams move from question to answer faster, while creating a product that is robust, scalable, and delightful to use. You should be excited to work across the stack, move quickly, and make strong product and engineering tradeoffs. The ideal candidate has experience building durable systems at enterprise scale, but is also comfortable operating with startup speed and ambiguity. In this role, you will Build core product capabilities for AI-native dashboards and analytics experiences using JavaScript (React), Go, Java. Drive projects end to end across frontend, backend, architecture, and product details. Partner closely with product, design, and sister teams to deliver cohesive user experiences. Make thoughtful tradeoffs between speed, quality, and long-term maintainability. Help shape technical

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 AI Products team The AI Products team is part of the broader Marketplace & Collaboration organization and is focused on bringing AI products on top of Snowflake’s data and application platform to help customers discover, share, monetize, and act on data assets & applications more easily. This team is building the connective tissue of the agentic enterprise: the infrastructure and product surfaces that allow Snowflake customers to seamlessly share datasets, semantic views, and applications, and make them discoverable and executable through Cortex Code, CoWork, and other agentic harnesses. Our strategy is centered on evolving Snowflake Marketplace for the AI era, including packaging data and intelligence into ready-to-use agentic experiences, and enabling governed access patterns that let AI systems safely operate on enterprise data and applications. As a Staff Software Engineer on AI Products, you will Lead the design and delivery of large, complex initiatives spanning multiple teams, turning ambiguous product and platform opportunities into durable technical solutions. Shape the architecture for how datasets, applications, semantic assets, and agentic capabilities are shared, discovered, governed, and invoked across Snowflake surfaces and third-party agent

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. Staff Software Engineer - Container Platform (Menlo Park) About the Role We build the foundational container platform that runs Snowflake's production, AI/ML, and CI workloads across AWS, Azure, and GCP, including a rapidly growing AI/ML footprint. Hundreds of large Kubernetes clusters under management and growing. The work is to make that fleet reliable, automated, and invisible to the thousands of engineers building on top of it. This is a staff-level role on a senior, high-performing platform team. You'll own hard problems end to end, drive technical direction across teams, and build the automation and platform abstractions that make operating at this scale sustainable. There is significant unsolved work ahead: improving the developer experience for thousands of internal engineers and continuing to scale the platform to meet Snowflake's growth. What You'll Do Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling. Identify and drive cross-team technical improvements across the platform, from architecture through adoption. Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality. Act as a technical anchor for the team, dev

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. Our Data Analytics and AI org (DAA) is actively seeking a Staff Data Scientist, GTM to provide technical leadership for Snowflake’s next generation of AI & Machine Learning powered GTM decision systems. You will contribute to high-impact work across sales and marketing: propensity models across the GTM funnel, measuring the causal effect of GTM investments and interventions, and recommending actions for accounts, leads, opportunities, and customers. This role goes beyond developing models. You will define how decision systems are designed, evaluated, productionized, and integrated into the workflows of sellers, marketers, and business leaders. You will establish reusable technical standards, guide investment across use cases, and ensure that sophisticated methods translate into measurable business impact. What You’ll Do • Set the technical direction for a portfolio of AI & Machine Learning GTM decision systems spanning Sales and Marketing. • Develop pipeline forecasting methods that model stage progression, conversion, deal timing • Build account, lead, opportunity, and customer models that identify propensity, risk, potential, and likely next outcomes. • Develop recommendation and next-best-action systems that determine where GTM teams should focus, which action to

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. Location Type: 3 Days in Menlo Park Office About the role We are an AI-first analytics team. We don't use AI to augment traditional BI workflows — we've replaced them. The Analytics team builds the intelligence layer that the Tax function under the CFO office runs on: AI agents that encode repeatable tax processes, Streamlit apps that surface real-time insight, semantic models that let any analyst query complex data in plain English, and workflow automations that collapse hours of manual work into a single prompt. Our primary development environment is CoCo (Cortex Code), Snowflake's AI coding assistant, and SnowWork , the AI IDE we ship work in. You will partner closely with Tax leadership to transform their function using AI. Every deliverable on this team is built AI-first: you design the workflow, you write the prompt, you validate the output. If you are still building dashboards by hand, refreshing Excel files manually, or treating AI as a spell-checker for your code — this role will ask you to operate differently. This is a high-breadth seat focused on unifying fragmented tax data, identifying high-risk areas, and automating compliance reporting to allow the Tax team to focus on decision-making and exception handling. One week you're building a new AI agent for tax ri