Senior Solutions Engineer - Data & ML
Union.ai$104,100 - $200,600/year
Full Time
Senior (5 to 8 years)
$120,000 – $220,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Analytics, TechnologyIndustries
Requirements
- 5+ years of experience as a data engineer, analytics engineer, or similar role
- Strong SQL skills
- Proficiency in Python
- Experience with cloud-native data tooling
- 2+ years in a pre-sales or solutions engineering role, ideally in the data or analytics space
- Experience with tools like BigQuery, Snowflake, dbt, Airflow
- Ability to translate business needs into technical solutions, present technical concepts to both technical and non-technical audiences
Responsibilities
- 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, prioritizing simplicity and performance
- Create and deliver tailored demos and proof-of-concepts that excite prospects
- Translate business needs into scalable, cost-effective, and delightful technical solutions
- Work cross-functionally with Product and Engineering to incorporate customer feedback and shape the roadmap
- Serve as a trusted technical advisor, helping customers navigate their journey with MotherDuck
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for the Sales Engineer position?
The salary range is $120K - $220K.
Is this role remote or hybrid, and where is it located?
This is a hybrid role requiring presence in either San Francisco or Seattle.
What technical skills are required for this Sales Engineer role?
Required skills include strong SQL skills, proficiency in Python, experience with cloud-native data tooling, and familiarity with tools like BigQuery, Snowflake, dbt, and Airflow.
What is the company culture like at MotherDuck?
MotherDuck is a team of data industry veterans from companies like Google, Amazon, Meta, and Snowflake, focused on transforming the data analyst experience with a novel cloud architecture built on DuckDB.
What experience makes a strong candidate for this Sales Engineer role?
Strong candidates have 5+ years as a data engineer or similar, plus 2+ years in pre-sales or solutions engineering, ideally in data/analytics, along with excellent communication skills to present to diverse audiences.
MotherDuck
Database management and data exploration tool
About MotherDuck
MotherDuck provides a data exploration tool aimed at improving database management for businesses and organizations. This tool allows users to efficiently manage and analyze large datasets, making it suitable for a wide range of clients, from small businesses to large corporations. The product is designed to be user-friendly, addressing the high demand for reliable database management solutions in a competitive market. Unlike many competitors, MotherDuck's team consists of experienced database experts with backgrounds in web UI, cloud platforms, and data technologies, which enhances the product's effectiveness. The company operates on a subscription model, ensuring a steady revenue stream that supports ongoing product improvements. The goal of MotherDuck is to deliver a powerful yet accessible tool that simplifies data exploration and management for its users.
Seattle, WashingtonHeadquarters
2022Year Founded
$97.3MTotal Funding
SERIES_BCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
11-50Employees
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
Stock Options
Company Equity
Hybrid Work Options
Risks
Competition from AWS and Google Cloud threatens MotherDuck's market share.
EU data protection laws may increase compliance costs for the new European headquarters.
Dependency on DuckDB's open-source platform poses risks if vulnerabilities arise.
Differentiation
MotherDuck combines DuckDB's speed with cloud scalability for a unique analytics platform.
The company offers a serverless, user-friendly tool for both small and large datasets.
MotherDuck's founding team includes experts from Snowflake, Facebook, and Elastic.
Upsides
Integration with Zenlytic expands MotherDuck's appeal to self-serve business intelligence users.
European headquarters in the Netherlands enhances market presence and service in Europe.
$52.5 million Series B funding supports development and expansion, showing investor confidence.
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