---
title: 'Staff Product Manager (Evals) at Workato'
canonical: 'https://feeny.ai/job/staff-product-manager-evals-workato-palo-alto-c3s3g6x6j3br'
type: 'job'
last_seen: '2026-10-17'
---

# Staff Product Manager (Evals) at Workato

- **Company:** Workato
- **Location:** Palo Alto, CA
- **Posted:** 2026-02-02
- **Last confirmed live:** 2026-10-17
- **Apply:** https://www.workato.com/careers?gh_jid=8392595002#open-roles

## Job description

## About Workato

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](https://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](http://www.workato.com/careers) 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](https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12) named us an “enterprise startup to bet your career on”
- [Forbes’ Cloud 100](https://www.forbes.com/cloud100/#a57477b5f941) recognized us as one of the top 100 private cloud companies in the world
- [Deloitte Tech Fast 500](https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html) ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
- [Quartz](https://qz.com/work/2053446/the-best-companies-for-working-from-home/) ranked us the #1 best company for remote workers

## 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.

In this role, you will also be responsible to:

- 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

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

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

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

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

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

## 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. You understand evaluation methodology not only from reading about it, but from doing it. You have opinions about what works, what doesn't, and where current approaches fall short.

- Strong product management experience. You've shipped products, driven roadmaps, and led cross-functional teams. You know how to translate technical capabilities into user value and write specs that don't leave details to chance.

- Technical translation ability. You can take complex evaluation concepts and make them accessible to business technologists without dumbing them down. You understand the difference between hiding complexity and organizing it.

- Internal influence skills. You've driven adoption of frameworks, practices, or tools across teams. You can be a credible partner to ML engineers while advocating for what internal teams actually need.

- Greenfield comfort. You've defined products from ambiguity — scoped v1s, made bets with incomplete information, and iterated based on what you learned. You don't need an existing playbook to be effective.

- B2B product sensibility. You see enterprise conventions as problems to solve, not constraints to accept. You're drawn to products that make complex workflows feel elegant.

## Nice to Have

- Experience with agent architectures, RAG systems, or LLM application development

- Background in ML engineering, solutions architecture, or technical program management before PM

-

## Experience building developer tools or platform products

- Familiarity with evaluation frameworks (e.g., human eval pipelines, automated benchmarks, red-teaming)

(REQ ID: 2538)

## About Workato

## Company Overview
- **One-liner**: Workato is an enterprise orchestration platform that provides an Integration Platform as a Service (iPaaS) and an Enterprise Model Context Protocol (MCP) to make AI agents secure, scalable, and accurate.
- **Entity Type**: Private (Series E; total funding $525M)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2013
- **Founders**: Vijay Tella (CEO & Co-Founder)

## Core Business
- **Primary industry**: Enterprise automation, integration platform as a service (iPaaS), AI agent orchestration
- **Target customers**: B2B, Enterprise (Fortune 500 companies, SMBs), IT, operations, HR, sales, marketing, finance, and product teams
- **Mission or purpose statement**: “To help enterprises realize the true potential of agents by bringing them from the edge of your business to the core.” [workato.com](https://www.workato.com/)

## Products & Services
- **Workato Enterprise MCP**: A platform purpose-built for agentic AI, offering predictable, scalable, and secure orchestration of AI agents across enterprise systems. [workato.com](https://www.workato.com/)
- **Workato GO**: A new AI super app that allows users to search, act, and orchestrate across the enterprise. [workato.com](https://www.workato.com/) / [linkedin.com](https://www.linkedin.com/company/workato)
- **iPaaS (Integration Platform as a Service)**: The core product that connects applications, data sources, and processes, enabling end-to-end automation for functions such as HR, sales, marketing, finance, support, and product. [workato.com](https://www.workato.com/about_us)

## Market Standing
- **Valuation**: Not publicly disclosed (private company)
- **Key Metrics**: Annual Revenue ~$150M (latest estimate); Total Funding $525M (Series D & E, plus earlier rounds). [linkedin.com](https://www.linkedin.com/company/workato)
- **Notable Investors/Partners**: Battery Ventures (led Series E), Altimeter Capital, Insight Partners (led Series D), Storm Ventures, Digital Industry Singapore. [linkedin.com](https://www.linkedin.com/company/workato)
- **Growth Signals**: Trusted by more than 50% of the Fortune 500; 1,087 employees with +3.1% monthly headcount growth; active job postings increasing +22.9% month-over-month; launched Workato GO in June 2025; acquired DeepConverse in March 2025. [linkedin.com](https://www.linkedin.com/company/workato) / [workato.com](https://www.workato.com/)

## Competitive Advantages
- **#1 iPaaS** per Gartner (2026) and recognized as a leader in enterprise integration. [workato.com](https://www.workato.com/)
- **Enterprise MCP** for AI agents, providing a dedicated orchestration layer that makes agents predictable, secure, and scalable – a unique moat in the agentic AI space.
- **Deep ecosystem**: Over 50% of Fortune 500 companies use Workato, indicating strong network effects and enterprise trust.
- **Embedded integration capabilities**: Allows companies to embed Workato’s automation into their own products (embed offering).

## Strategic Focus
- **Agentic AI orchestration**: Positioning as the “trusted orchestration layer for AI agents” with the Enterprise MCP platform.
- **Expansion of AI super app (Workato GO)**: Combining search, action, and orchestration into a single interface for enterprise users.
- **International growth**: Presence in 39 countries, with offices in Palo Alto, San Francisco, Singapore, India, Netherlands, and others. Continued hiring in sales, engineering, and customer success globally.
- **Product innovation**: Investing in AI products (Chief of AI Products role), search/retrieval engineering, and Rust development for performance.

## Why Work Here
- **Culture**: Values include “Act Customer-First”, “Get S#*t Done”, “Raise Our Game”. Emphasis on balance between productivity and wellness. [workato.com/careers](https://www.workato.com/careers)
- **Flexible Working**: Flexible working arrangements, dedicated wellness and recreation time, virtual game nights, fitness sessions. [workato.com/careers](https://www.workato.com/careers)
- **Professional Development**: Training programs, budgets for upskilling, support for individual career ambitions. [workato.com/careers](https://www.workato.com/careers)
- **Benefits**: Health insurance, Employee Assistance Programme (EAP), referral bonuses, stock options. [workato.com/careers](https://www.workato.com/careers)
- **Engineering Culture**: Strong technical roles (Senior Rust Developer, Senior Software Engineer in Search/Retrieval, AI product roles). Average employer rating 4.0/5.0 (423 reviews) with culture rated 3.8, compensation 3.8, career growth 3.6. [linkedin.com](https://www.linkedin.com/company/workato)
- **Global Presence**: Offices in Palo Alto (HQ), San Francisco, Singapore, India, Netherlands, and more – hybrid/remote options available. [workato.com/about_us](https://www.workato.com/about_us)

## Sources
1. [workato.com - About Us](https://www.workato.com/about_us)
2. [workato.com - Careers](https://www.workato.com/careers)
3. [workato.com - Homepage](https://www.workato.com/)
4. [linkedin.com - Company Page](https://www.linkedin.com/company/workato)
5. [job-boards.greenhouse.io - Workato Jobs](https://job-boards.greenhouse.io/workato/jobs/8188971002)

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