The Solutions Engineer will collaborate with customers after implementation, guiding them in building data solutions and ensuring success with RudderStack's platform. Responsibilities include technical consulting, troubleshooting, documentation, and advocating for customer needs.
About RudderStack
At RudderStack, we are redefining enterprise-scale data collection and routing. We are building a customer data platform (CDP) on the customer's own data warehouse. Our open-source, developer-first approach is the first of its kind. We understand the outsized impact customer data has on businesses, and we understand the challenges and pain points. We are looking to solve the customer data management problem in enterprises, once and for all, in a secure, compliant and cost-effective way.
We’re backed by Insight Partners, Kleiner Perkins and S28 and have raised a total of $82 million in funding. Our customers include Crate + Barrel, Acorns, PrizePicks, and Cars.com. We process critical customer data for some top companies around the world, and are looking for ambitious individuals to join our team and help shape the future of our product.
About the role
- As a Post-Sales Solutions Engineer at RudderStack, you will bridge the gap between technical product capabilities and customer success. You will work closely with the Customer Success, Product, and Engineering teams to remove technical barriers, guide customers in building and scaling their data pipelines, and drive adoption of advanced use cases. You will act as a trusted advisor to customers, helping them architect solutions that leverage RudderStack effectively.
- This role is ideal for a technically skilled individual who enjoys working closely with customers and translating business needs into scalable data solutions.
What you'll do
- Partner with customers post-implementation to ensure smooth onboarding, adoption, and success with RudderStack’s platform.
- Act as a Data Consultant by leading technical discussions and solution design sessions to align customer data architecture with business goals.
- Troubleshoot and resolve complex integration or data pipeline issues in collaboration with Product and Engineering.
- Provide best-practice guidance on data collection, transformation, and routing across warehouses and destinations.
- Create technical documentation, playbooks, and training materials to accelerate customer enablement.
- Act as a customer advocate by sharing feedback and feature requests with internal teams.
- Measure and improve key outcomes such as time to value, feature adoption, and customer satisfaction.
Qualifications
- 3 - 5 years of experience in solutions engineering, customer success engineering, or similar technical customer-facing roles.
- Solid understanding of data pipelines, ETL/rELT processes, APIs, and modern data warehouses (e.g. Snowflake, BigQuery, Redshift).
- Proficiency in SQL and familiarity with at least one scripting language (Python or JavaScript preferred).
- Strong problem-solving and troubleshooting skills, with the ability to explain complex concepts clearly to varied audiences.
- Excellent communication and collaboration skills; comfortable working with both technical and business stakeholders.
- Self-motivated, adaptable, and eager to learn in a fast-paced, remote-first environment.
The compensation range for this position is $115,000–$150,000. The total compensation package also includes stock options and a comprehensive benefits package. Actual compensation will depend on your location, skills, experience, and qualifications.
Top Skills
APIs
BigQuery
Elt
ETL
JavaScript
Python
Redshift
Snowflake
SQL
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