Intern, Product Management (Data Orchestration)

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

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  Conduct research into integration use cases, data pipelines, and connector ecosystems to propose strategic, data-driven opportunities.

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  Work closely with users, engineering, and partner teams to understand pain points around data ingestion, transformation, and orchestration.

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  Help define and prioritize product requirements for data connectors, sync modes, and data platform capabilities like retries, batching, or schema evolution.

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  Collaborate with cross-functional teams to drive roadmap discussions for supporting popular apps, databases, cloud warehouses, and data movement patterns.

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  Translate complex data movement concepts into clear PRDs and user flows, and support implementation through launch.

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  Analyze usage data and customer feedback to identify areas for improvement across integration reliability, scale, and usability.

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  Contribute to enablement content that helps internal teams and customers understand and adopt new integration features.

• 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).