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
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. That’s 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
We are looking for an exceptional intern to join our Partner and Customer Experience Team. In this role, you will contribute to ongoing technical projects that involve gathering and analyzing partner and customer feedback and implementing related initiatives. Your primary responsibility will be to build agentic AI projects and automated listening posts to gather partner and customer feedback, along with reporting to summarize the results. These efforts will enhance our partners' and customers' journeys and improve our customers' outcomes.
In this role, you will also be responsible to:
Agentic AI-Powered Reporting: Building and operating agentic AI workflows that automatically analyze customer and partner feedback at scale, surfacing themes, sentiment, and signals, and generating structured reports and summaries for team and stakeholder consumption.
Building Automation: Update current Workato recipes and build new Workato recipes to automatically facilitate listening posts at set points in our customer and partner journeys.
Feedback Analysis: Collaborating with the team to analyze qualitative and quantitative feedback from various channels such as surveys, reviews, and social media to extract valuable insights and trends.
Feature Enhancement: Assist in identifying areas for improvement based on analyzing customer feedback and contributing ideas for new features or enhancements that address customer needs.
Project Support: Supporting ongoing experience team projects by creating enablement and listening posts, as well as assisting in the development and implementation of reporting and analytical models.
Communication and Reporting: Effectively communicate findings and insights to cross-functional teams and assist in preparing reports and presentations to stakeholders.
Continuous Learning: Actively staying updated on industry trends and advancements in agentic AI, text analytics, and customer experience management practices, and applying this knowledge to enhance our tools, processes and methodologies.
Available for collaboration during standard US hours of operation.
Build Workflow Automation: Using Workato, design and implement basic automated workflows that allow us to conduct listening posts at set points in our customers' and partners' journeys.
Agent Building: Design and deploy AI agents that can autonomously execute multi-step tasks, including feedback collection, analysis, and reporting workflows.
AI Prompting: Ability to craft effective prompts for large language models to extract insights, generate summaries, classify feedback, and produce structured outputs reliably.
MCP Server Building: Experience or strong interest in building Model Context Protocol (MCP) servers to connect AI models to internal tools, data sources, and business systems.
Agentic, Automation, and Integration Troubleshooting: Ability to diagnose and resolve issues across agentic AI workflows, Workato recipes, and third-party integrations — with a methodical approach to root cause analysis.
Problem-Solving Skills: Ability to troubleshoot issues and use resources to explore new approaches. Capable of debugging automation and integration issues efficiently, with a strong problem-solving mindset and attention to detail.
Agile Methodologies: Experience working in Agile development environments, participating in sprint planning, and delivering automation and integration solutions iteratively.
Documentation and Testing: Proficiency in documenting processes, creating test cases, and conducting thorough testing to ensure the reliability and scalability of solutions.
Monitoring and Performance Optimization: Ability to monitor automated workflows, identify performance bottlenecks, and optimize integration processes for efficiency and scalability.
Customer-oriented mindset: Must possess a customer-centric perspective and the ability to understand and empathize with our customers’ and partners’ journeys.
Meticulous attention to detail: to ensure the accuracy of workflows, extracted data, and the quality of its insights.
Communication and Collaboration: Excellent communication skills that enable effective collaboration with cross-functional teams.
Resourceful: Able to work independently and efficiently to solve problems, suggest new ideas, and meet deadlines.
Thoughtful team player: a quick learner, and have a “self-starter” attitude with a growth mindset.
#LI-NJ1
(REQ ID: 2813)
Skills Required
- Build automated workflows using Workato to conduct listening posts at set customer and partner journey points.
- Design and deploy AI agents to autonomously execute multi-step feedback collection, analysis, and reporting tasks.
- Craft effective prompts for large language models to extract insights, generate summaries, classify feedback, and produce structured outputs.
- Experience or strong interest in building Model Context Protocol (MCP) servers to connect AI models to internal tools and data sources.
- Diagnose and resolve issues across agentic AI workflows, Workato recipes, and third-party integrations with root cause analysis.
- Troubleshoot automation and integration problems; debug workflows and integrations efficiently.
- Experience working in Agile environments, participating in sprint planning and iterative delivery.
- Document processes, create test cases, and conduct testing to ensure reliability and scalability of solutions.
- Monitor automated workflows, identify performance bottlenecks, and optimize integration processes for efficiency and scalability.
- Available for collaboration during standard US hours of operation.
What We Do
The leader in enterprise automation, Workato helps organizations work faster and smarter without compromising security and governance. Built for Business and IT users, Workato is trusted by over 7,000 of the world's top brands like Gitlab, Toast, Broadcom, Intuit, Autodesk, and HubSpot. Leaders use Workato to automate key processes like Order to Cash, Speed to Lead, HR Onboarding and Offboarding and more.
Why Work With Us
Here at Workato, we are a team moved by innovation — a passion to create the best possible way and the drive to continue to make it better. We also believe in the power of our team, knowing that we only succeed if we all succeed together. Our team uses seven operating principles to help us make better decisions, work as a team, and have fun.
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