Role overview

Customer Engineer

Requirements and responsibilities

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What you will do

  • 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.
  • [nice to have] Experience with DuckDB and/or MotherDuck (or at least a strong curiosity to learn and dive deep).

What people should be saying if you’re doing ducking awesome

  • "They can land any POC like a pro... our prospects leave every demo 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 skeptical prospect into a lifelong fan... and did it with a smile."
  • "They've automated half their own prep work with AI and still somehow seem to do more than anyone else on the team."

What we provide

  • Feather-ruffling compensation – competitive salary and stock options so you have a stake in our flock’s success.
  • Top-notch healthcare coverage – 100% paid medical, dental, and vision for employees, plus 85% coverage for dependents (because we care about your whole nest).
  • Flexible PTO – take the time you need to recharge, explore, or just have a lazy day by the pond.
  • 401k plan – because even ducks need to plan for the future.
  • Flexible work environment - spend most of the week in the office collaborating with the flock, and work from wherever you're most productive the rest of the time. Specifics are role dependent and as agreed upon with your manager.
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Browse stack
FocusCustomer EngineeringRole area
Seniority signalOpen levelCandidate level
StackPython, REST, SnowflakePrimary skills
Location2 accepted countriesEligibility

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