Design Technologist in Germany

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. Smartsheet seeks a highly motivated and results-oriented Commercial Account Executive to drive significant revenue growth within a designated geographic region within the Commercial segment (0-500 employees). You will be responsible for expanding existing customer relationships across the entire portfolio of accounts within your assigned geography. You will develop and execute strategic account plans, drive cross-selling and upselling opportunities, and ensure swift customer adoption of Smartsheet solutions. This role requires a strong understanding of local market dynamics, the ability to build and maintain strong customer relationships, and a proven track record of success in achieving sales targets within a defined geographic territory. You will work on a hybrid basis from Munich, Germany and will be reporting to a Regional Director, DACH Sales. You Will: Build and manage a sales pipeline to meet and exceed software and services sales quotas within your book of business. Manage and close complex sales cycles, including needs analysis, solution design, and contract negotiation, utilizing solution selling and the MEDDICC framework. Develop and execute strategic account plans for a defined set of key accounts in the Commercial segment (0-500 employees). Run high-quality discovery, aligning with customers on business drivers and strategic objectives to create an evaluation plan that has clear timelines and drives urgency. Develop and maintain strong relationships with local channel partners to identify and pursue new oppo

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 Principal Engineer on the Data Platform team, you will be a technical anchor — setting direction, solving the hardest engineering problems, and elevating the entire team. You will work at the intersection of systems design, long-term architecture, and real-world engineering execution. In this specific role, you will lead the evolution of our declarative data pipelines, focusing on streaming ingestion and transformations. What You'll Do Drive the technical strategy and architecture for key Data Platform initiatives, focusing heavily on real-time data movement and incremental processing. Lead design reviews and set engineering standards across teams. Identify and resolve high-impact technical challenges and systemic bottlenecks to reduce latency and improve the efficiency of dynamic tables at cloud scale. Mentor and grow senior engineers; raise the engineering bar. Partner closely with product and infrastructure leadership on roadmap and direction. Continuous hands-on technical deliverables in the most critical areas. What We're Looking For 14+ years of software engineering experience with deep expertise in distributed systems. Demonstrated track record of defining and delivering platform-scale technical initiatives. Expert-level knowledge of streaming and/or batch data

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 hiring a Senior Software Engineer for our Data Platform team - the team that owns the core streaming execution and database internals powering Snowflake's platform. You'll work deep in the stack: stream processing runtimes, query execution engines, storage layers, and the distributed systems primitive that everything else is built on. AS A SOFTWARE ENGINEER, DATA PLATFORM AT SNOWFLAKE, YOU WILL: Design and implement high-throughput stream processing systems with strong correctness guarantees - exactly-once semantics, out-of-order event handling, low-latency execution Work on database internals - query execution, operator design, storage engine components, or transaction processing at cloud scale Own features and systems end-to-end: design, implementation, testing, deployment, and production observability Drive architectural decisions that shape the long-term evolution of Snowflake's streaming and core platform layers Mentor engineers through design reviews, code reviews, and technical guidance Partner across product, infrastructure, and research teams to deliver high-impact, foundational capabilities OUR IDEAL CANDIDATE WILL HAVE: 5+ years of software engineering experience in distributed systems, query engines, streaming infrastructure, or database in

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 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. Our Solution Engineering organization is seeking a Senior Data Platform Architect (Specialist) to join our Applied Field Engineering team who can provide technical leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences. IN THIS ROLE YOU WILL GET TO: Ap

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 the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon. We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines. If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational. What You Will Do Product Vision: Own the product direction, strategy, and roadmap for Snowflake’s streaming capabilities. Execution: Translate complex customer problems into clear product bets and successfully shipped features. Engineering Partnership: Collaborate closely with engineering on system design, trade-offs, and execution. User Focus: Spend time with users to understand what is broken, what is missing, and what matters most. Design & GTM: Partner with desig