Director, Product Management (Intelligence, Insights and Context

About Workato

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 h 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.

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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!

Workato is pioneering a category-defining product that delivers intelligence, insights, and context across the entire automation ecosystem. We're building an AI-powered analytics platform with intelligent data virtualization that eliminates traditional data warehouses, ETL pipelines, and complex integration requirements - while providing unprecedented understanding of how your automation landscape actually works. Imagine business users asking natural language questions that span data across recipes, integrations, APIs, and connected applications - and getting instant, contextual answers.

Imagine proactive AI that surfaces optimization opportunities, predicts failures, and recommends improvements across your entire automation landscape. This is the future we're building. We're seeking an exceptional Director of Product Management to lead this initiative from vision to market leadership.

Define a New Category

• Pioneer a revolutionary approach that delivers intelligence, insights, and context for enterprise automation through AI-powered analytics and data virtualization
• Build the strategic vision and narrative that will reshape how enterprises understand and optimize their automation investments
• Establish thought leadership and evangelize the category to CIOs, CDOs, and enterprise architects
• Identify and partner with visionary customers who will co-create this future

• Lead development of intelligent analytics that proactively surface insights, anomalies, predictions, and optimization opportunities across automation workflows
• Design data virtualization layers that enable real-time insights across disparate data sources without data movement or replication
• Architect comprehensive knowledge graphs that provide rich context by mapping relationships between recipes, integrations, applications, data flows, users, and business processes
• Build semantic understanding that translates business questions into federated queries across the Workato platform and connected systems
• Create natural language interfaces for conversational data exploration and analysis
• Develop predictive analytics for recipe performance, failure prediction, and capacity planning

• Build the underlying data infrastructure including semantic layers, metadata catalogs, and ontologies
• Design federated query engines that intelligently combine real-time and historical data
• Create entity resolution and data harmonization capabilities across heterogeneous sources
• Implement data lineage tracking and impact analysis for automation dependencies
• Establish data governance frameworks that ensure privacy, security, and compliance
• Develop embedding and vector search capabilities for semantic data discovery

Drive Product Execution

• Own the product roadmap from 0-to-1 through scaling, shipping MVPs that validate category potential
• Partner with Data Engineering, ML Engineering, and Platform teams to build…