Description
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’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.
- Cortex Code Desktop , the local, VS Code-grade development experience for building on Snowflake (CoCo).
- Cortex Code CLI , the command-line developer experience for the same workflows, for engineers who live in the terminal.
- 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.
- 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.
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, 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.
- Hands-on Experience – Build real projects to test the product, find the hard edges, make fixes, and develop opinions.
- Passion mentoring and being mentored – Snowflake has a strong culture for growing people.
- 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.
- A four-year roadmap is ready to converge into one, cohesive product.