Director, Product Management (AI Adoption & Enterprise)

About the role

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business.

Responsibilities

• Define and drive the roadmap, vision, and execution for Workato’s AI-first platform experience.
• Own the end-to-end experience layer that accelerates AI workload growth across the platform — from onboarding and personal workspaces to discovery, modern builder UX, sharing and reuse systems, and marketplace ecosystem expansion.
• Redesign the platform experience so that AI is not a feature — but the primary interface to building, discovering, and operating workflows and agents.
• Strategically increase AI adoption across the customer base by transforming the platform experience.
• Design frictionless personal workspaces that enable builders to experiment safely without administrative bottlenecks.
• Develop AI-driven onboarding flows that convert user intent into working AI-powered workflows within minutes.
• Establish clear and secure pathways for promoting assets from sandbox environments into governed production workspaces.
• Design dynamic discovery systems that surface relevant AI capabilities based on user behavior, role, and enterprise context.
• Create internal automation galleries and visibility systems that encourage exploration and cross-team AI adoption.
• Reduce duplication by enabling structured reuse of AI-powered workflows and standardized patterns.
• Define a next-generation builder experience that embeds AI directly into the workflow creation surface.
• Enhance debugging, replay, and static analysis tooling to improve developer confidence in AI-generated logic.
• Modernize the UX to support agent-based systems, parallel execution, modular design, and AI collaboration.
• Ensure the builder experience feels programmable, intelligent, and fast while maintaining usability for diverse personas.
• Design forkable workflows with lineage tracking, reusable subflows, version-controlled modules, and structured component libraries.
• Enable cross-workspace sharing mechanisms that promote safe and scalable reuse of AI-enabled workflows.
• Introduce governance-aware reuse frameworks that balance speed with enterprise control.
• Drive measurable increases in reuse rates and cross-team collaboration.
• Expand the marketplace to include AI blueprints, agent skills, reusable automation packs, and extensibility frameworks.
• Define contribution models, SDK strategies, and governance controls that enable ecosystem growth while maintaining enterprise standards.
• Develop rating, certification, and versioning systems that build trust and quality in marketplace contributions.
• Drive marketplace adoption metrics tied directly to AI workload growth and ecosystem engagement.
• Collaborate closely with Engineering, Design, AI research, Solutions Consulting, Customer Success, Marketing, and Sales to deliver and position AI-first experiences.
• Partner with go-to-market teams to shift perception toward AI-native enterprise capabilities.
• Ensure cohesive integration of AI experience strategy across adjacent product areas.
• Recruit, mentor, and scale a high-performing product management team focused on AI adoption and platform experience transformation.
• Foster a culture of experimentation, craftsmanship, accountability, and data-driven decision-making.
• Encourage bold innovation while maintaining operational rigor and disciplined execution.

Requirements

• 12+ years of Product Management experience, with a strong focus on developer platforms, AI-driven systems, enterprise SaaS, or programmable workflow products.
• Minimum 10 years in a senior product leadership role, managing and mentoring high-performing PM teams.
• Proven experience driving adoption and growth through UX transformation and platform experience redesign.
• Deep understanding of APIs, SDK ecosystems, CI/CD pipelines, version control systems, and workflow-as-code paradigms.
• Experience delivering AI-powered product capabilities, including generative interfaces, conversational UX, LLM integrations, or agent-based systems.
• Strong familiarity with enterprise governance, identity models, access control frameworks, and scalable architecture principles.
• Demonstrated ability to balance rapid innovation with enterprise-grade reliability and compliance.
• Track record of shipping high-impact platform capabilities that measurably increased adoption and customer engagement.
• Excellent prioritization skills, balancing strategic transformation with near-term delivery commitments.
• Experience shaping product narratives in emerging AI-driven enterprise categories is a plus.