About the role
About MotherDuck Don’t let the quirky name fool you: At MotherDuck , we’re on a mission to make data warehousing fun, frictionless, and ducking awesome for developers and data practitioners building blazing fast internal and customer-facing analytics experiences. We're building a cloud-hosted version of DuckDB, working hand-in-hand with the creators of the fastest-growing and fastest-improving query engine on the planet. Unlike other databases, MotherDuck was architected to unify local development with cloud operations to bridge the gap between software and data engineering workflows. Our team is a mix of thoughtful, passionate, and empathetic data industry veterans. What you will do At MotherDuck, we're building a delightful, cloud-native analytics platform powered by DuckDB. We believe in simplifying data without dumbing it down... and we're looking for a Senior Sales Engineer who can help our customers see how magical (and fast!) data can be. This role is perfect for someone who's waddled through the world of data engineering and is now ready to ruffle some feathers in a customer facing role. You'll be the technical tailwind for our sales team, showing prospects how MotherDuck can help them fly through their data challenges with ease. This is a hybrid role that can be based out of our New York City or Seattle office. Key
responsibilities include Partner with Account Executives to lead the technical side of sales, from discovery through to technical win. Design elegant data architectures using DuckDB, MotherDuck, and the modern data stack... always with simplicity and performance in mind. Create and deliver tailored demos and proof-of-concepts that really get customers flapping with excitement. Translate business needs into scalable, cost-effective, and delightful technical solutions. Work cross-functionally with Product and Engineering to bring customer feedback to the nest and shape the roadmap. Be a trusted technical advisor, helping customers navigate their journey with MotherDuck from pilot to production. Build and deploy AI-powered automations that scale your own impact... think less manual prep, more time wowing customers. What you bring 5+ years of experience as a data engineer, analytics engineer, or similar, with hands-on skills in SQL, Python, and cloud-native data tooling. 2+ years in a pre-sales or solutions engineering role, ideally in the data or analytics space. Proven, hands-on experience with OLAP workloads... you've designed and optimized for analytical query patterns You've built with or alongside AI systems in a real way... not just using AI tools to go a bit faster, but actually automating workflows, building agents, and multiplying your own output through smart systems. You've worked with tools like BigQuery, Snowflake, dbt, Airflow, and you're always curious about what's hatching in the modern data stack. You’ve worked with Claude Code, Codex, Cursor, or other agent harnesses to empower yourself and others. You love talking to customers, whiteboarding solutions, and quacking confidently in front of both technical and non-technical audiences. Deep familiarity with data warehouse architecture, performance optimization, and data modeling. Experience working in a fast-paced startup environment. [
