About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration Workato helps businesses globally streamline operations by connecting data processes applications and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time driving efficiency and agility.

Trusted by a community of 400000 global customers Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world. Learn how Workato helps businesses of all sizes achieve more at .

Why join us

Ultimately Workato believes in fostering a flexible trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley please submit an application. We look forward to getting to know you!

Also feel free to check out why:

• Business Insider named us an enterprise startup to bet your career on

• Forbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world

• Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area and 96th in North America

• Quartz ranked us the #1 best company for remote workers

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)