Responsibilities
- Conduct research into integration use cases, data pipelines, and connector ecosystems to propose strategic, data-driven opportunities.
- Work closely with users, engineering, and partner teams to understand pain points around data ingestion, transformation, and orchestration.
- Help define and prioritize product requirements for data connectors, sync modes, and data platform capabilities like retries, batching, or schema evolution.
- Collaborate with cross-functional teams to drive roadmap discussions for supporting popular apps, databases, cloud warehouses, and data movement patterns.
- Translate complex data movement concepts into clear PRDs and user flows, and support implementation through launch.
- Analyze usage data and customer feedback to identify areas for improvement across integration reliability, scale, and usability.
- Contribute to enablement content that helps internal teams and customers understand and adopt new integration features.
Requirements
- Currently pursuing a degree in Computer Science, Information Systems, Data Engineering, or a related technical field, or relevant B2B SaaS internship experience.
- Interest in data systems, APIs, integration tooling, or cloud data platforms (e.g., Snowflake, S3, SQL Server).
- Strong written and verbal communication skills with the ability to explain technical concepts to diverse audiences.
- Comfort with ambiguity and a passion for solving complex system-level problems involving data flows and app ecosystems.
- A proactive, ownership-driven attitude and eagerness to learn in a fast-paced environment.
Nice to Have
- Exposure to SQL, ETL/ELT patterns, or data modeling
