Staff Product Manager (Enterprise & AI Governance)

Job Description

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.

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

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%.

• 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.

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.