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Staff Product Manager (Enterprise & AI Governance)

Workato · Palo Alto, California

Location
Palo Alto, California
Level
Staff
Posted
3 June

About this role

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.

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 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 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
  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
  • Quartz ranked us the #1 best company for remote workers

Responsibilities

Drive the future of enterprise automation governance at Workato, the leading Enterprise Orchestration platform. As Staff Product Manager for Enterprise & AI Governance, you'll deliver next-generation governance capabilities that enable Fortune 500 companies to scale AI-powered integrations securely across global operations while meeting the strictest regulatory and enterprise architecture requirements.

  • Enterprise Governance & AI Control
    • Own the roadmap for centralized governance across Workato's enterprise platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. Design automated compliance frameworks that scale from hundreds to thousands of integrations while maintaining enterprise-grade security.
  • Access Control & Identity Management
    • Define and deliver advanced RBAC systems and least-privilege access controls that work seamlessly across multi-cloud, hybrid environments. Partner with engineering to build policy-as-code capabilities and real-time access governance.
    • Compliance Automation
      • Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations like the EU AI Act. Create self-service governance workflows that reduce manual compliance overhead by 70%.
      • Success Metrics

        • Accelerate enterprise adoption: Enable 40% faster enterprise-wide Workato deployment through centralized governance and automated compliance workflows.

        • Reduce administrative burden: Decrease governance overhead by 70% through intelligent automation and policy-driven access management.

        • Drive customer success: Enable 80% of enterprise customers to deploy governance frameworks within the first 30 days.

        • Lead AI governance: Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails.

        Requirements

        Qualifications / Experience / Technical Skills

        Essential Experience

        • 7+ years product management experience in enterprise B2B SaaS platforms, with 4+ years in governance, security, or identity management.

        • Deep understanding of enterprise access control models (RBAC, ABAC), identity protocols (SAML, OAuth 2.0, OIDC), and policy management frameworks.

        • Knowledge of enterprise IT governance frameworks (ITIL, COBIT, NIST) and regulatory requirements (SOC 2, GDPR, HIPAA, SOX).

        • Experience with policy-as-code implementation and enterprise integration patterns.

        • SQL proficiency for governance analytics and compliance reporting.

        AI & Modern Governance

        • Understanding of AI governance principles including model bias detection, algorithmic transparency, and automated policy enforcement.

        • Knowledge of agentic AI systems and autonomous workflow governance challenges.

        • Familiarity with emerging AI regulations and their impact on enterprise software platforms.

        Leadership & Execution

        • Track record of shipping governance features that scaled to thousands of enterprise users.

        • Experience collaborating with security teams, compliance officers, and IT administrators across global organizations.

        • Strong analytical skills with experience defining and tracking governance KPIs and compliance metrics.

        (REQ ID: 2248)

        As published by Workato. Applications are handled on their site.

        Skills this posting mentions

        Software as a ServiceCOBITIdentity Management

        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. We connect to every app, system, and process your business runs on, with no data migration, no rip-and-replace, 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 14,000+ enterprise systems into one governed execution layer. AI has solved reasoning. The next frontier is execution, with Workato.

        All 55 openings at Workato

        One click, then it is written

        Apply to Workato with a resume written for this role.

        Queue Staff Product Manager (Enterprise & AI Governance) and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Workato’s form for you.

        1. 01Drop your resume

          A PDF or a LinkedIn URL. About a minute, once.

        2. 02I rank the openings

          Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

        3. 03Each one is written up

          Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

        • 25 sent a week, free
        • No card
        • Nothing sent until you say so

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        Paste your career in once. Every application after that is written for you.

        Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

        1. 01Drop your resume

          A PDF or a LinkedIn URL. About a minute, once.

        2. 02I rank the openings

          Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

        3. 03Each one is written up

          Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

        • New matches ranked and written before you are up.
        • Every bullet stays inside what your history supports. Nothing invented.
        • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

        Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.

        Listed from the job board Workato publishes. Refolk is not the employer and does not handle their hiring. Applications go to Workato directly.

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