Principal Product Leader

Description

• Own the Data & Integration Product Vision – Define the product vision and roadmap for the data and integration layer that connects ALI solutions across the lifecycle.
• Align Product & Platform Teams – Coordinate priorities and ensure integration and data investments are aligned across product lines.
• Monetize Data & APIs – Partner with commercial and product teams to define usage-based and value-based models for data and API consumption.
• Enable AI & Analytics – Ensure data products and integrations are structured and accessible to power agentic AI, analytics, and automation.
• Shape the Semantic & Graph Model – Partner with architects to define and evolve semantic models and graph frameworks that contextualize and relate data across domains.
• Advocate for the Platform – Represent and communicate Hexagon’s connected data and integration strategy across internal and external forums.
• Deliver Scalable Data Services – Collaborate with engineering to ensure APIs, connectors, and pipelines are designed and delivered to meet performance, scalability, and interoperability goals.
• Modernize Integration Patterns – Drive adoption of scalable, API-first, event-driven, and cloud-native integration patterns using modern frameworks such as NiFi, Kafka, and REST.

Requirements

• Familiarity with ontology, semantic modeling, and graph technologies.
• Background in industrial domains (energy, manufacturing, infrastructure, or similar) is a plus.
• 10+ years in cloud or enterprise software, with experience leading or managing data and integration product initiatives.
• Familiarity with data pipelines, governance, and observability.
• Experience delivering SaaS or multi-tenant data and integration products.
• Strong background in hyperscaler data ecosystems (Azure preferred) and integration technologies (NiFi, Kafka, MuleSoft, REST, MQTT, OPC UA).
• Experience enabling AI, ML, or automation through contextualized data.
• Proven ability to translate technical concepts into product outcomes and align cross-functional teams.
• Knowledge of Azure Data Services, Snowflake, or Databricks.
• Experience collaborating with software engineering teams to deliver scalable platform capabilities.
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance