Staff Product Manager (Enterprise & AI Governance)

Workato•Palo Alto, CA

About The Position

Workato is hiring a Staff Product Manager to lead Enterprise & AI Governance for its enterprise orchestration platform. The role owns the roadmap for centralized governance across the platform, including agentic AI governance, autonomous workflow controls, and intelligent policy enforcement. The position focuses on helping large enterprises scale AI-powered integrations securely across global operations while meeting regulatory and enterprise architecture requirements. The role also defines advanced access control and identity management capabilities, including role-based access control and least-privilege access across multi-cloud and hybrid environments. Working with engineering, the product manager will build policy-as-code capabilities and real-time access governance. The role includes developing compliance automation for frameworks and regulations such as SOC 2, GDPR, HIPAA, SOX, and the EU AI Act, as well as self-service workflows to reduce manual compliance work. The stated success measures include enabling enterprise-wide deployments 40% faster, decreasing governance overhead by 70%, enabling 80% of enterprise customers to deploy governance frameworks within their first 30 days, and advancing agentic AI governance with guardrails for autonomous workflows.

Requirements

7+ years of product management experience in enterprise B2B SaaS platforms, including 4+ years in governance, security, or identity management.
Deep understanding of enterprise access control models, including RBAC and ABAC; identity protocols, including SAML, OAuth 2.0, and OIDC; and policy management frameworks.
Knowledge of enterprise IT governance frameworks such as ITIL, COBIT, and NIST, and regulatory requirements including SOC 2, GDPR, HIPAA, and SOX.
Experience with policy-as-code implementation and enterprise integration patterns.
SQL proficiency for governance analytics and compliance reporting.
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.
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 and experience defining and tracking governance KPIs and compliance metrics.

Responsibilities

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 across hundreds to thousands of integrations while maintaining enterprise-grade security.
Define and deliver advanced RBAC systems and least-privilege access controls for multi-cloud and hybrid environments.
Partner with engineering to build policy-as-code capabilities and real-time access governance.
Build compliance automation tools supporting SOC 2, GDPR, HIPAA, SOX, and emerging AI regulations such as the EU AI Act.
Create self-service governance workflows to reduce manual compliance overhead.
Enable faster enterprise-wide Workato deployments through centralized governance and automated compliance workflows.
Help enterprise customers deploy governance frameworks within their first 30 days.
Pioneer agentic AI governance for integration platforms, supporting autonomous workflows with built-in guardrails.
Define and track governance KPIs and compliance metrics.