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
