Staff Product Manager (Evals)

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 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at workato.com.

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.

In this role, you will also be responsible to:

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  Define and own the evaluation framework for Workato's internal AI agent features, driving adoption across teams starting with Agent Studio

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  Build the customer-facing evaluation experience — how builders test, measure, and improve agents they create on Workato

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  Make hard calls about what evaluation complexity to expose versus abstract, balancing rigor with approachability

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  Partner closely with the Build Experience PM to ensure evaluation is integrated into the builder journey, not bolted on

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  Work with ML engineers and platform teams to ground the framework in technical reality while keeping it accessible

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  Establish metrics for what "good" looks like — both for internal agent quality and for customer evaluation adoption

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  Spend significant time with customers understanding where they struggle to assess agent performance and what mental models they bring

• 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