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.

• Exposure to SQL, ETL/ELT patterns, or data modeling is a plus (but not mandatory).

To stand out in our hiring process, please take the time to respond to the Job Application Questions below with concise yet informative answers. All submissions are personally reviewed by the Hiring Team, not evaluated by AI.

(REQ ID: 2714)