Sales Engineer, MotherDuck
$120-220k
OTE
+ Stock options
3 days a week in office
Data analytics platform
Open for applications
Data analytics platform
21-100 employees
Open for applications
$120-220k
OTE
+ Stock options
3 days a week in office
21-100 employees
Company mission
To radically transform the data analyst user experience.
Role
Who you are
- We believe in simplifying data without dumbing it down—and we’re looking for an experienced 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 pre-sales 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
- 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
- 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 love talking to customers, whiteboarding solutions, and quacking confidently in front of both technical and non-technical audiences
- Strong grasp of data warehouse architecture, performance optimization, and data modeling
- [nice to have] Experience with DuckDB and/or MotherDuck (or at least a strong curiosity to learn and dive deep)
- [nice to have] Experience working with large-scale enterprise customers or in a fast-paced startup environment
- [nice to have] You know the ins and outs of ETL/ELT, columnar formats, and distributed query engines
What the job involves
- At MotherDuck, we’re building a delightful, cloud-native analytics platform powered by DuckDB
- 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
Our take
In the increasingly complex landscape of data analytics, the challenges faced in managing and extracting meaningful insights from large datasets are on the rise. Conventional approaches, often involving distributed architectures and petabyte-scale data solutions, can be cumbersome, expensive, and less user-friendly for the majority of users who do not operate at such a large scale.
MotherDuck, recognizing this issue, has emerged as a solution provider with its serverless, user-friendly data analytics platform. Leveraging the power of the open-source database DuckDB, MotherDuck aims to simplify the scale-up approach to SQL analytics, offering a faster, more cost-effective alternative for the 95% of analysts who do not require petabyte-scale data solutions.
Having secured funding in 2023, the company is now well-positioned to further enhance its platform and expand its user base. As MotherDuck continues to collaborate closely with the DuckDB team and integrate user feedback for enhancements, the company is also poised to play a pivotal role in the evolution of serverless data analytics.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Sep 2023
$52.5m
SERIES B
Nov 2022
$35m
SERIES A
Total funding: $100m
Company benefits
- Unlimited Paid Time Off
- 401k plan
- Regular offsites in hub or exotic locations
- 100% paid medical, dental, and vision for employees (plus 80% paid medical, dental, and vision for dependents)
Company HQ
Central Business District, Seattle, WA
Leadership
Jordan Tigani
(Co-Founder & CEO)Previously the CPO at SingleStore. Prior to that, they were a Product Leader, Engineering Leader, and Founding Engineer on Google BigQuery.
Ryan Boyd
(Co-Founder)Currently a Partner at HyperGrowth as well as an Advisor at SparrowLabs. With a background in Coding, Leadership, and Management working at Google, Flux, and Databricks.
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