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You will drive the roadmap for enterprise and AI governance, designing automated compliance frameworks and policy enforcement tools. You will also define advanced access control systems and lead the implementation of governance features for agentic AI and autonomous workflows.
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:
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.
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.
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