Workato

Staff Product Manager (Evals)

Palo Alto, California · Staff+

Sponsorship not specifiedDetected 1 day ago

Machine LearningLLMsRAGAgentic AIProduct ManagementCommunication

About the role

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?

Externally, you'll build the evaluation experience that helps business technologists understand why their agents succeed or fail - and what to do about it.
You've built test suites, designed evaluation criteria, and debugged agent failures in the trenches.
Define and own the evaluation framework for Workato's internal AI agent features, driving adoption across teams starting with Agent Studio
Build the customer-facing evaluation experience - how builders test, measure, and improve agents they create on Workato
Partner closely with the Build Experience PM to ensure evaluation is integrated into the builder journey, not bolted on

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
Bachelor's degree or equivalent experience
You have opinions about what works, what doesn't, and where current approaches fall short.
You can take complex evaluation concepts and make them accessible to business technologists without dumbing them down.
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.

Experience with agent architectures, RAG systems, or LLM application development
Background in ML engineering, solutions architecture, or technical program management before PM
Familiarity with evaluation frameworks (e.g., human eval pipelines, automated benchmarks, red-teaming)

About Workato
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.
If this sounds right up your alley, please submit an application.
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

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

This listing is sourced directly from Workato's careers page and normalized into a canonical job model.