Design Technologist Jobs

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. This position requires a hybrid work schedule with 3 days per week attendance at our Menlo Park office . 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 looking for an experienced to join our Brand Design team. In this role, you will lead our creative producers and traffic manager while serving as “mission control” for all workstreams flowing into the department. As a champion for the design team, you will review and prioritize requests, manage timelines, allocate resources, oversee agency onboarding 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. We're hiring Software Engineers for our Data Platform team to build and evolve Snowflake's real-time stream processing and data transformation platform. If you've built or researched high-throughput streaming systems or scalable transformation engines - in industry or graduate work - we want to talk. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: Design and implement low-latency stream processing and in-flight data transformation systems at global scale Own correctness and performance of streaming execution (watermarks, exactly-once delivery, out-of-order handling) Build transformation primitives and operators that run reliably at cloud-scale throughput Contribute to architectural decisions for our next-generation streaming and transformation platform Write production-quality systems code and collaborate across product and engineering teams OUR IDEAL CANDIDATE WILL HAVE: BS/MS/PhD in Computer Science or related field — graduate research in streaming, distributed systems, or query/transformation engines is a strong differentiator Deep distributed systems fundamentals: fault tolerance, consistency, state management Hands-on or experience with stream processing or transformation systems (Flink, Kafka Streams, Spark Structured Streaming, or similar) Proficiency i

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. 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

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 Research Scientist, Physical AI for our AI Research team . You will build the next-generation training and learning platform for physical AI: models that perceive, reason about, and act within structured environments . This is a greenfield (0 to 1) effort at the intersection of representation learning, world models, and policy optimization. You will help define its technical direction from day one. AS A STAFF RESEARCH SCIENTIST YOU WILL: Design and build scalable training infrastructure for representation models (e.g., contrastive and self-supervised approaches like CLIP/SigLIP, DINO/MAE, and joint-embedding predictive architectures) Develop latent world models that learn environment dynamics through imagined rollouts, enabling model-based reasoning and planning (Dreamer-style, I-JEPA/V-JEPA families) Architect and implement action/policy model pipelines, including vision-language-action models and diffusion-based policy learning Build generative simulator frameworks that produce controllable, physically plausible future states (video world models in the spirit of Cosmos/Genie/Sora) Develop multimodal generative model capabilities that fuse visual, language, and structured inputs for downstream reasoning and decision-making Lead cross-team technical 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. Senior Software Engineer — Cortex Training The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional G

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. Build the future of the AI Data Cloud. Join the Snowflake team. As a Senior Business Systems Analyst you will be supporting the Finance IT Systems and be responsible for liaison between the Finance business stakeholders and developers. You must have the ability to translate business needs into Functional specifications, design and develop solutions, configure finance systems, test and deploy them into production. You have a passion for working cross functionally and building solutions to support business processes and data flows and strength in solving platform issues with expert troubleshooting skills. This role will work closely with multiple departments and other business partners, as well as Executives in Finance, Security, IT and HR. What you will be doing Independently contribute to following areas - Support finance systems for Period close activities of Finance operations Automate Accounting Process using cutting edge technology Core Accounting, External reporting Transformation Projects Core Accounting, External reporting Operational changes FP&A business requests Identify Accounting/Finance process gaps and provide suggestions AI evangelist - Able to use best of class AI tools to quickly create wireframes, FSDs, use cases, test automations & other innovatio

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 Solution Engineer dedicated to one of Snowflake's most strategically important financial services customers. This is a named-account role: your entire focus will be a single global financial institution across capital markets, banking, insurance, or asset management. You will own the full technical relationship, drive use case expansion across business units, and act as the go-to trusted advisor to CTO, CDO, and engineering leadership within the account. This is a senior-level, high-visibility role with global scope and direct exposure to Snowflake's leadership. AS A SENIOR SOLUTION ENGINEER AT SNOWFLAKE, YOU WILL: Own the end-to-end technical relationship for a single strategic Global Account in financial services, from discovery and technical qualification through proof of concept, technical close, and ongoing expansion Build and deliver compelling demonstrations, solution architectures, and executive presentations that connect Snowflake's platform capabilities to the specific data and AI priorities of financial services buyers Design and lead proof of concept engagements covering risk analytics, regulatory data platforms, real-time fraud detection, customer intelligence, and AI/ML workloads in FSI environments Act as a subject matter expert on fina

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. AS A SENIOR SOFTWARE ENGINEER YOU WILL: Drive high-impact initiatives that span our product areas and full tech stack, including golang and Python on the backend and TypeScript/React on the frontend. Own and deliver features across the notebook service, container runtimes, and UI — designing and shipping medium-to-large projects independently, from ambiguous problem statements through production and post-launch. Advance core platform initiatives such as runtime management and patching, environment reproducibility and replication, security and compliance, and observability for notebooks. Extend the product to operate reliably in regulated and air-gapped environments, where security, compliance, and operational rigor are paramount. Promote strong collaboration within a cross-functional team and partner closely with embedded product managers and designers, as well as platform organizations across Snowflake Be a strong contributor to the product vision and drive team planning. Build for scale, reliability, and high performance, and participate in the on-call rotation to keep a Tier-1 production service healthy. Mentor, coach, and empower more junior team members, and raise the engineering bar through high-quality design and code review. OUR IDEAL CANDIDATE WILL HAVE: 7+ years o

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 Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — s pecifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries. AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL: Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains Engage across teams — including with domain experts and applied engineering — to ground research in pra

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 seeking an Enablement Business Partner to serve as the Chief Activation Officer for our Solution Engineering team. Embedded within key leadership teams, you will accelerate field capability tied to business outcomes, owning the full spectrum of how SEs learn, from structured programs to in-the-moment performance support. You translate business problems into capability solutions, designing systems that make the field more capable when and where it matters most. IN THIS ROLE YOU WILL GET TO: Act as the strategic enablement partner for SE leadership, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Curate and quality-gate enablement content: validate AI outputs for accuracy and audience fit, maintain a source of truth for your domains (theater and product), and feed evidence-based quality signals back to PM and PMM Diagnose field needs through signals (Gong, Salesforce, theater-level data analysis, leadership conversations, steer co themes, PM roadmap changes, etc), then classify and prioritize gaps with data Design activation experiences, picking the right modality (hands-on or self-serve lab, AI skill, peer learning, coaching nudge), and measuring behavior change, not just comp

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 seeking a Field Enablement Business Partner to serve as the Chief Activation Officer for both our Account Executive and Customer Experience organizations. Embedded within key field leadership teams, you operate as a strategic partner who diagnoses capability gaps tied to business outcomes, translates complex technical and product knowledge into compelling learning experiences, and designs programs that make the field more capable, whether that means closing a deal or architecting a technical solution. This role sits at the intersection of technical depth and sales craft. You build hands-on labs and technical content that SEs can use the next day, and you design methodology-grounded sales training that sharpens AEs' sales skills. You are the connector between Product, Marketing, Field Engineering, and Field Sales, and the person who makes sure capability actually changes. In this role, you will Act as a strategic enablement business partner for Sales, Services Delivery, and Sales Engineering leadership alike, diagnosing skill gaps tied to business outcomes, prescribing targeted interventions, and measuring whether capability actually changed Own programs end-to-end , spanning ideation, content creation, delivery, measurement, and iteration. This includes program

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. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse using Apache Iceberg — at dramatically lower cost. OpenTelemetry is the foundation of how customers send data to Observe, and we are making significant investment in upstream OTel contributions to ensure Observe is the best destination for OTel-instrumented environments. As a Senior Software Engineer on the OpenTelemetry team, you'll play a key role in driving Observe's open-source strategy within the OpenTelemetry ecosystem. You'll work on some of the most exciting challenges in telemetry collection and instrumentation — expanding coverage into emerging domains like LLM/AI observability and Browser RUM — while collaborating closely with the OTel community to shape the standards that the industry builds on. AS A SENIOR SOFTWARE ENGINEER - OBSERVE BY SNOWFLAKE, OPENTELEMETRY, YOU WILL: Pioneer new instrumentation capabilities in the OpenTelemetry community, defining and building next-generation telemetry collection for emerging domains including LLM/AI inference, Browser RUM, and mobile. Design and implement OTel Collector components (receivers, processors, exporte

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 teams develops in-house connectors to connect with external systems and data warehouses. We are working to connect Snowflake with Fortune 500 companies - in the cloud. In this area you will be working on exposing API, blueprints and frameworks for other developers to create their own connectors. YOUR RESPONSIBILITIES Design and develop data integration and processing applications. These applications replicate data from various data sources (including relational databases, saas, data streams) into Snowflake, following CDC patterns. Develop and extend a robust connector platform to standardise and accelerate the development of connectors, either developed by Snowflake or by third parties. Typical example includes developing a scheduling service ensuring timely execution of tasks and optimal resource allocation. Optimize performance of the ingestion, meet with customers & troubleshoot issues and secure data transfer from external systems. Collaborate with teams across the organization and roles. Create design documents and present them to architects and other stakeholders, including company founders. Lead and mentor a group of engineers Coordinate synchronous and asynchronous communication to ensure goals are met. Collaborate with PMs and customers to understand busine

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 about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level. We are hiring a Principal Software Engineer for our AI team. Our team delivers an AI Functions product that is the key Cortex Platform feature used by Snowflake customers. We're delivering scalable, governed, managed, powerful and flexible transformation primitives that allow customers to build AI ETL pipelines on all data. We focus on solving the hard research and engineering problems required to make high quality multi-cloud service work. If you enjoy designing and building the AI services that run reliably at scale, this is the team for you. AS PRINCIPAL SOFTWARE ENGINEER IN AI & ML YOU WILL: Build customer facing AI Functions portfolio of products Design and implement highly scalable distributed platforms within the global Snowflake platform. Participate in decision-making processes on technical or business issues. Collaborate with engineers across teams to help deliver cross-functional initiatives. Ensure operational readiness of the services and meet the commitments to our customers regardi