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
RudderStack is a warehouse-native customer data platform enabling companies to collect, govern, and activate real-time customer data for analytics, personalization, and AI-powered/agentic applications.
Backed by S28, Kleiner Perkins, and Insight Partners, RudderStack is trusted by leading AI-native companies such as Lovable, Hex, n8n, Vercel, and Seamless, along with multiple Fortune 100 global enterprises.
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.
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