Principal Technical Product Marketing Manager — AI

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 redefining how enterprises bring data, applications, and AI together. As autonomous workflows begin taking actions on behalf of users, identity has officially become the new security perimeter. Every single interaction—whether initiated by a human, an application, a workload, or an AI agent—must be continuously authenticated, authorized, and governed. To unlock this next generation of enterprise software, Snowflake requires an identity platform that extends far beyond traditional workforce authentication to seamlessly support machine identities, fine-grained delegation, and policy-driven access at cloud scale. We are looking for a hands-on, high-impact Product Leader to define and build this foundational trust layer. Operating at a highly strategic intersection of product, engineering, partnerships, and executive-level customer engagement , you will own the core infrastructure that allows complex enterprise systems to securely interact, reason over sensitive data, and safely execute actions. AS A PRINCIPAL PRODUCT MANAGER AT SNOWFLAKE, YOU WILL : Set Portfolio Strategy: Own and define the long-term product strategy and roadmap for Snowflake’s IAM ecosystem, factoring in market-shifting competitive trends and technical evolutions. Build for AI era: Architect IAM

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 redefining how enterprises bring data, applications, and AI together. As customers build AI systems for insights, automation, and action, they need governed access to the most important business data in the enterprise: data from systems like SAP, Salesforce, Workday, ServiceNow, and other leading application platforms. Historically, integrating this data meant building pipelines, duplicating data, losing business semantics, and creating operational complexity. The next generation of enterprise AI requires a better pattern: open, governed, zero-copy interoperability across application platforms, open table formats, catalogs, semantics, and Snowflake. We are looking for a hands-on, high-conviction Principal Product Manager to lead and scale Snowflake’s Zero-Copy Integrations product stream. This person will help shape the product strategy, execution model, partner roadmap, commercial motion, and customer experience for how Snowflake interoperates with the world’s most important business application platforms. This is a highly strategic role at the intersection of product, engineering, design, partnerships, GTM, and executive-level customer engagement. You will work closely with leading application vendors and Snowflake teams to define how customers access structu

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. AI is reshaping what product security can accomplish, both as a target and as a tool. We're looking for a Principal Security Engineer to own the highest-leverage application security work at Smartsheet: leading threat modeling and product security reviews across a modern SaaS platform used by millions of customers, serving as the team's technical authority on AI security risk, and setting the technical standard for application security practice across the engineering organization. This is the most senior individual contributor role on the Application Security team. The expectation is not just depth: it is reach. You will engage product and engineering leadership directly, drive security requirements rather than advisory recommendations, and build team capability over time. If you are a security engineer who thinks upstream, builds threat models that generate concrete test scenarios and can translate technical findings into architecture decisions and business outcomes, this role is built for you. This role reports to the Manager, Application Security and can be based in our Bellevue, WA office or remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Lead Threat Modeling and Product Security Reviews: Own threat modeling and product security review as the team's primary upstream capability: build models from architecture and data-flow artifacts, derive concrete abuse cases and test scenarios, and drive security requirements into designs before they ship. Define and lead the product secu

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 Principal Software Engineer for our Anti-Abuse team. The Anti-Abuse team sits at the core of protecting Snowflake and our customers from abuse on the Snowflake Platform. We strive to see the complete picture, leading platform-wide abuse and fraud detection while designing and deploying proactive controls for Snowflake's highest-risk capabilities: Snowpark, Data Sharing, Cortex AI, and the next generation of cloud engineering challenges as Snowflake rapidly scales. In this role, you will be the lead technical architect responsible for defining and driving our technical strategy for abuse prevention, detection, and response across the entire Snowflake ecosystem. AS A PRINCIPAL SOFTWARE ENGINEER, ANTI-ABUSE AT SNOWFLAKE, YOU WILL: Define and drive the long-term technical vision for abuse and fraud detection across the Snowflake platform, serving as the chief architect for platform-wide anti-abuse strategy Partner directly with product and engineering teams building Snowflake's newest and highest-risk surfaces (Snowpark user code execution runtimes, Data Sharing and Marketplace, AI/LLM services) to design and deploy robust anti-abuse controls from day one Architect and scale high-throughput, low-latency telemetry pipelines and risk-scoring engines capable of ana

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Observability Engineering owns the breadth and depth of observability and telemetry at Smartsheet. We build and operate the shared platform every engineering team depends on to understand how their software behaves in production (metrics, logs, distributed traces, RUM, synthetics, and AI/agentic telemetry) across a global, multi-region, commercial and government footprint. We are consolidating ownership of all of it into a single correlated platform, and treating telemetry as what it actually is: one of the largest and most valuable datasets at the company. It's a broad mandate with real scope to shape, and we hold this internal platform to the same rigor, reliability, and product standards as customer-facing software. As a Principal Software Engineer (Observability & Telemetry Data) , you will set the technical direction for how Smartsheet collects, models, stores, and derives value from telemetry data. This is an architect role: you will define the telemetry data platform and the standards that govern it, carry that architecture across engineering org boundaries, partner with our Data and AI Platform teams on Databricks and MLflow integration, and act as the company's definitive technical voice on observability. You will influence roadmaps you do not own, resolve the hard design trade-offs between fidelity and cost, and raise the technical bar for every engineer instrumenting a service. This full-time position reports to the Team Lead, Observability Engineering and can be located in our Bellevue, WA off

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. Streamlit in Snowflake (SiS) is our flagship app development platform, enabling data engineers, analysts, and developers to build and deploy interactive, data-driven applications directly within Snowflake. As Principal Engineer for the Streamlit in Snowflake team, you will be the top technical voice shaping how millions of users build and deploy apps on Snowflake's data platform. This role requires a rare combination: deep hands-on engineering expertise in Python/container runtimes, a systems architect's instinct for platform design, and the organizational influence to drive cross-team programs. You will define how SiS evolves from its container-native SPCS runtime and embedding/iframe SDK, to its developer experience, performance at scale, and integration with Snowflake's broader AI and data ecosystem. AS THE PRINCIPAL ENGINEER FOR STREAMLIT IN SNOWFLAKE YOU WILL: Define and own the architectural vision for the SiS platform spanning the SPCS container runtime, the warehouse runtime, the embedding SDK, developer tooling, and the Snowsight integration layer. Drive the platform's evolution toward its next-generation capabilities building on publicly shipping features like chromeless viewer URLs and IdP integration, and shaping the architectural direction for areas still in de