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 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. To learn more, visit www.workato.com

Why join us?

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

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.

What You'll Do

^{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

^{Build Intelligence, Insights & Context Capabilities}

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

Design the Context and Data Foundation

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 production-grade systems
Work with Security and Compliance teams to ensure robust access controls and governance
Collaborate with Product Marketing, Sales, and Customer Success to achieve product-market fit
Define success metrics including insight accuracy, query performance, user adoption, and business value
Drive continuous innovation through experimentation and customer feedback

What You Bring

Must-Have:

12+ years product management experience in enterprise software (analytics, BI, data platforms, or observability)
Proven track record building 0-to-1 products or creating new market categories
Deep understanding of data virtualization concepts: federated queries, semantic layers, data fabrics, virtual data warehouses
Strong knowledge of knowledge graphs, graph databases (Neo4j, Neptune), ontologies, and semantic technologies
Experience with AI/ML-powered analytics, predictive modeling, or augmented analytics products
Understanding of modern data architectures including data lakes, warehouses, and semantic layers
Technical depth to discuss data modeling, query optimization, embeddings, and RAG architectures
Exceptional ability to define bold visions and execute in ambiguous environments
Outstanding communication skills—can inspire teams and influence C-level executives

Nice-to-Have:

Experience in integration, iPaaS, automation, or workflow orchestration products
Background in data engineering, analytics engineering, or BI platforms
Hands-on knowledge of LLMs for analytics, natural language to SQL/queries, semantic search
Familiarity with vector databases (Pinecone, Weaviate) and embedding models
Experience with dbt, Looker, Tableau, or other modern analytics tools
Understanding of observability, AIOps, or IT operations analytics
Track record of thought leadership through speaking, writing, or industry influence
MBA or advanced degree in relevant field

Why This Role is Special

Traditional enterprise analytics requires extracting data into warehouses, building complex pipelines, and maintaining separate BI tools. We're pioneering a fundamentally different approach that delivers three things enterprises desperately need:

Intelligence - AI that learns, predicts, and proactively surfaces what matters
Insights - Real-time analytics without data movement or complex setup
Context - Deep understanding of relationships, dependencies, and business impact through knowledge graphs

For automation and integration platforms specifically, this unlocks unprecedented visibility into recipe performance, data flows, usage patterns, and optimization opportunities - all through natural conversation and proactive intelligence.

This isn't incremental innovation - it's category creation that will reshape how enterprises understand and optimize their automation investments.
You'll have:

Once-in-a-career opportunity to define a new analytics category and lead it to market
High autonomy and ownership of a strategic initiative with executive visibility
Cutting-edge AI-powered analytics technology solving real enterprise challenges at scale
Competitive compensation with significant equity in a fast-growing company
World-class team and collaborative, innovation-driven culture

(REQ ID: 2542)

Director, Product Management (Intelligence, Insights and Context)