Staff Product Manager (Evals)

Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit 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