Engineering Manager in Bellevue

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: Bellevue, WA Engineering Manager, Cost Intelligence We are looking for an experienced Engineering Manager to lead the Cost Intelligence engineering team. In this role, you will own the technical vision and execution for the features and systems that help Snowflake customers understand, monitor, and optimize their Snowflake consumption and spend. You will lead a talented team of engineers building the data products, APIs, and platform services that power cost visibility, usage analytics, budgeting, and cost optimization insights across Snowflake's platform. You'll work closely with Product Management, Design, Data Science, and cross-functional engineering teams to ship world-class cost intelligence capabilities to Snowflake's customer base. As manager for the Cost Intelligence team, you will: Lead and grow our talented team of software engineers, fostering a culture of technical excellence, ownership, and continuous learning. Drive the roadmap for Cost Intelligence features — including cost allocation, resource budgeting, anomaly detection, and optimization recommendations — in partnership with product management. Set technical strategy for backend systems, data pipelines, and APIs that surface cost and usage insights to customers at massive scale. Own delivery end-to-end : from planning and scoping to design reviews, execution, launch, and iteration based on customer feedback. Partner cross-functionally with other engineering and cross functional teams to ensure smooth integrations and end customer success. Represent your team in broader technical discussions, contributing to Snowflake engineering-wide initiatives and best practices. We are looking for candidates with: 8+ years of software engineering experience, with 3+ years in an engineering management role leading teams building highly scalable, reliable, and low latency systems. Strong technical foundation in distributed systems, data engineering, or cloud-native backend development. Demonstrated ability to define and execute multi-quarter technical roadmaps while balancing short-term delivery and long-term platform health. Experience building cost management, budgeting, billing or FinOps tooling in a cloud environment (AWS, Azure, or GCP). Experience with anomaly detection, time-series analysis, or ML-driven cost optimization products. Excellent communication skills: able to distill complex technical problems for executive audiences and motivate engineers around a shared vision. Track record of hiring, growing, and retaining strong engineering talent. Strong hands-on skills. Can drill deep into complex system designs and implementation. BS/MS/PhD in Computer Science or related field, or equivalent experience. 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

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. Team Scope You'll lead a team of 10 engineers owning the Developer Experience for authoring data engineering workloads, reporting to the manager who oversees DEX across all geographies. Every place a data engineer writes, runs, automates, or debugs their work is something we build, shape, or contribute to: Workspaces — the primary browser-based, multi-file IDE in Snowsight. Full-stack: a React/TypeScript front end on top of our own backend platform. We are the single largest contributor to this surface in net-new feature capabilities. Cortex Code Desktop — the local, VS Code-grade development experience for building on Snowflake (CoCo). We develop DE-focused experiences inside of the Desktop editor as first-class experiences. Cortex Code CLI — the command-line developer experience for the same workflows, for engineers who live in the terminal. We develop skills that go out to customers, as well as frameworks and technologies internally to build and test the agent and skills more rapidly. Pipeline Observability UIs — the in-product monitoring surfaces for deployed pipeline objects in Snowflake The products you'll ship on those surfaces dbt Projects on Snowflake (GA) — build, run, schedule, and monitor dbt natively inside Snowflake, no external orchestrator. DCM (Database Change Management, Public Preview) — declarative, git-integrated infrastructure-as-code for Snowflake objects. Customer asks were blunt: "get rid of Terraform." DCM is the deployment backbone under both Pipeline Builder and dbt Projects. Pipeline Builder (private preview, heading to public preview) — a visual, drag-and-drop orchestration canvas that compiles to DCM and deploys as a task graph. This is our answer to Databricks' Lakeflow Designer and Airflow. One of the biggest Snowflake launches coming this summer. More to come! This is a team with a track record of shipping fast, and there's plenty more on the roadmap. What we're looking for 3-5 years of management experience A track record of leading technical teams, plus experience with modern IDEs, distributed build systems, and cloud-based dev environments. Strong Product Instincts — Able to confidently meet with customers (internal, external, product mgr hat) , understand their problems, have a deep understanding of the existing product, and use that knowledge to author roadmaps, create project plans, and suggest novel product solutions. Excellent Cross Functional Relationship Building – DEX touches all parts of Snowflake’s software stack, with deliverables from UX down to bare metal. Building relationships and managing expectations is critical to making the whole of the product greater than the sum of its parts. Hands-on Experience – Build real projects to test the product, find the hard edges, make fixes, and develop opinions. Become an advocate for your own products and how to take them to the next level. Use AI extensively to empower your decision making. Passion mentoring and being mentored – Snowflake has a strong culture for growing people. We invest in others and ourselves. Having examples where you’ve concretely impacted those around you is critical. Bonus: dbt, Airflow, Spark, or similar experience with Data Engineering frameworks/tools Why this role matters now Authoring is the front door. Everything a data engineer does on Snowflake starts on one of our surfaces — so the experience here directly drives DE adoption and consumption. Agentic authoring is our FY27 big bet. Natural-language pipeline authoring in our products is a leapfrog opportunity over the competition and we demoed a lot of this at Summit A four-year roadmap is ready to converge into one, cohesive product. Workspaces, DCM, Cortex Code, Pipeline Builder, and their underlying primitives are coming together into one coherent authoring story, and this role is stitching them together. 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

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 a talented Software Engineering Manager to lead the Snowtrail infrastructure team at Snowflake. Snowtrail is the infrastructure that enables Snowflake to deliver dedicated coverage for customer-specific workloads. Its innovative approach allows Snowflake to precisely test and measure the impact of changes on individual customers, making it essential for ensuring the platform’s reliability, correctness, and performance. Through query replay, Snowtrail helps us catch regressions early. By leveraging machine learning models to intelligently sample queries and workloads, we continuously optimize for both cost and performance. Evolving Snowtrail to incorporate new engine features while improving scalability, efficiency, and reliability is central to our continued success OUR IDEAL MANAGER WILL HAVE : Strong passion and proven track record for shipping quality software in high code velocity environments 10+ years industry experience designing and building distributed data systems. Excellent problem solving skills, and strong CS fundamentals including data structures, algorithms, and distributed systems. Fluency in SQL, Java, C++, Python or Go. Ability to collaborate well across teams, build high-performing teams and mentor junior engineers. Excellent interpersonal communication skills. Ability to work on-site at our San Mateo, CA or Bellevue, WA offices. BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING : Building at-scale telemetry pipeline or query replay pipeline Building or testing database query engine Operationalizing Machine Learning models Solid understanding of shipping end to end customer experiences across clients including browsers, apps and drivers Multi-tenant systems, with focus on reliability, performance, isolation, security and scalability. A track record of leading distributed technical teams 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