About Workato 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.

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 .

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!

Responsibilities

We're looking for a Staff Product Manager to own evaluations for AI agents at Workato — both the internal framework that helps our teams ship better AI features, and the customer-facing tools that let builders assess and improve the agents they create. This is a role with a dual mandate. Internally, you'll establish how Workato evaluates agent quality, starting with Agent Studio and expanding to other teams shipping AI capabilities.

Externally, you'll build the evaluation experience that helps business technologists understand why their agents succeed or fail — and what to do about it. The right person for this role has actually written evals. You've built test suites, designed evaluation criteria, and debugged agent failures in the trenches.

You know the gap between "eval theory" and "eval reality," and you can translate that practitioner knowledge into products that work for both technical teams and non-technical builders.

Requirements

Qualifications

/ Experience 7+ years in Product Management Hands-on experience writing evaluations for AI/ML systems (agents, LLMs, or similar) Track record of shipping technical products to both internal and external users Experience driving adoption of frameworks or practices across engineering teams Strong written and verbal communication skills Bachelor's degree or equivalent experience Practitioner depth in evaluations. You've written evals yourself — built test suites, designed rubrics, debugged why agents underperformed.

Staff Product Manager (Evals)