Customer Engineer

About Mother Duck

Don’t let the quirky name fool you:
At Mother Duck 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, Mother Duck 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.

At Mother Duck, 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 Mother Duck 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.

• Partner with Account Executives to lead the technical side of sales, from discovery through to technical win.
• Design elegant data architectures using DuckDB, Mother Duck, 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 excited.
• 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 Mother Duck from pilot to production.
• Build and deploy AI‑powered automations that scale your own impact – less manual prep, more time wowing customers.

• 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, having designed and optimised for analytical query patterns.
• 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 output through smart systems.
• Worked with tools such as Big Query, Snowflake, dbt, Airflow, and always curious about what’s hatching in the modern data stack.
• Used Claude Code, Codex, Cursor, or other agent harnesses to empower yourself and others.
• Loves talking to customers, whiteboarding solutions, and quacking confidently in front of both technical and non‑technical audiences.
• Deep familiarity with data warehouse architecture, performance optimisation, and data modelling.
• Experience working in a fast‑paced startup environment.
• [nice to have] Experience with DuckDB and/or Mother Duck, or at least strong curiosity to learn and dive deep.

• They can land any POC like a pro, leaving prospects flapping their wings in excitement.
• They just get the modern data stack and know how to explain it without a 30‑slide deck.
• They made complex data pipelines feel like a walk in the park, with breadcrumbs.
• They’re the go‑to for any technical deep dive. Calm under pressure, sharp as a beak.
• Our customers ask for them by name. Total ducking rockstar.
• They always bring clarity, confidence, and a splash of charm to every sales call.
• They turned our most sceptical prospect into a lifelong fan, and did it with a smile.
• They’ve automated half their own prep work with AI and still somehow do more than anyone else on the team.

• Competitive salary and stock options.
• 100% paid medical, dental, and vision for employees, plus 85% coverage for dependents.
• Flexi…