Who you are

• 12+ years of experience in Product Management, Platform Engineering, or Data Platform leadership roles
• Proven experience managing enterprise-scale internal platforms
• Experience working with large-scale data platforms, distributed systems, or developer platforms
• Strong understanding of modern platform ecosystems including:
• Cloud platforms (Google Cloud preferred)
• Data platforms and analytics architectures
• API and microservices ecosystems
• Streaming platforms (Kafka, Pub/Sub)
• Observability and reliability engineering
• CI/CD and platform automation
• Modern data warehouse architectures
• GenAI & AI Platform Awareness
• Experience defining or working with AI-powered platform capabilities, including:
• Generative AI and Large Language Model ecosystems
• AI-powered developer productivity tools
• Retrieval-Augmented Generation (RAG) architectures
• AI-driven observability and operational automation
• Intelligent platform assistants and developer copilots
• Ability to identify opportunities where AI can significantly improve platform usability, reliability, and operational efficiency
• Product Leadership
• Strong experience managing engineering backlogs and platform roadmaps
• Ability to translate complex technical capabilities into clear product value and adoption strategies
• Experience driving cross-team alignment across engineering, platform, and governance teams
• Leadership Skills
• Strong communication and storytelling skills
• Ability to influence engineering teams and senior leadership
• Comfortable operating at both strategic and execution levels
• Nice to Have
• Experience implementing Platform-as-a-Product operating models
• Exposure to Data Governance and metadata platforms
• Experience with AI-driven platform automation
• Experience working with enterprise-scale analytics platforms

What the job involves

• We are seeking a Senior Principal Product Manager to lead the product strategy and roadmap for our Enterprise Data & Analytics Platform
• This role will drive a Platform-as-a-Product mindset, delivering scalable, secure, and self-service capabilities for data engineering, analytics, APIs, streaming systems, and AI/GenAI workloads across the enterprise
• You will own the platform product vision, roadmap, and engineering backlog, working closely with Platform Engineering, SRE, Governance, and Data teams to evolve the platform into a highly reliable, intelligent, and developer-centric internal platform
• A key responsibility of this role is to drive AI-native platform capabilities, embedding Generative AI, automation, and intelligent platform operations into the next generation of the enterprise platform
• Define and drive the product vision and long-term roadmap for the Enterprise Data & Analytics Platform
• Lead the adoption of a Platform-as-a-Product operating model, ensuring platform capabilities are delivered as scalable internal products with clear value for engineering teams
• Shape the platform evolution across key domains including:
• Data ingestion and transformation frameworks
• API and integration platforms
• Streaming and real-time data platforms
• Platform governance and data governance enablement
• Platform observability and reliability
• Developer self-service and platform automation
• AI and GenAI platform capabilities
• Continuously evaluate emerging technologies and introduce innovations that enhance platform scalability, intelligence, and developer productivity
• Platform Backlog Ownership
• Own and manage the platform engineering backlog across multiple platform domains, including:
• Platform Engineering
• Platform Governance
• Platform Control Tower / Observability
• Site Reliability Engineering (SRE)
• Production Support enablement
• GenAI platform capabilities
• Translate strategic initiatives into clear epics, features, and prioritized engineering deliverables
• Partner with engineering leadership to balance innovation, reliability, and operational excellence while ensuring continuous platform improvement
• GenAI-Enabled Platform Innovation
• Drive the adoption of Generative AI capabilities within the enterprise platform, enabling intelligent automation and developer productivity
• Define product capabilities for AI-powered platform services, including:
• AI-assisted platform operations for troubleshooting incidents and diagnosing pipeline failures
• GenAI-powered developer assistants for building data pipelines, APIs, and platform integrations
• Automated code generation and optimization for data transformations and platform configurations
• AI-powered data discovery and metadata intelligence
• GenAI-driven documentation and knowledge assistants for platform users
• Automated platform diagnostics and root cause analysis
• AI-driven operational insights for SRE and production support teams
• Work with engineering teams to embed LLM-powered automation and intelligent workflows into the platform ecosystem
• Platform Control Tower & Operational Intelligence
• Lead the development of a Platform Control Tower providing enterprise visibility into platform health and operations
• The Control Tower will enable:
• Real-time monitoring of platform services
• Data pipeline health and reliability metrics
• API and streaming service observability
• Platform adoption and usage insights
• Governance compliance visibility
• AI-powered anomaly detection and operational insights
• Ensure the platform operates with intelligent observability and proactive operational insights
• Platform Governance Enablement
• Collaborate with Enterprise Data Governance teams to embed governance capabilities directly into the platform
• Drive product capabilities that support:
• Metadata and data catalog integration
• Data lineage and observability
• Data quality monitoring
• Data classification and access controls
• Policy-driven governance automation
• Ensure governance capabilities are delivered in a scalable, automated, and developer-friendly way
• Reliability & SRE Alignment
• Partner closely with Site Reliability Engineering teams to ensure platform reliability and operational excellence
• Align platform roadmap priorities with:
• Observability improvements
• Incident reduction strategies
• Platform resilience and disaster recovery
• Capacity planning and performance optimization
• Support the adoption of AI-driven reliability engineering practices to proactively identify operational risks
• Developer Experience & Self-Service
• Continuously improve the developer experience across the platform
• Drive development of:
• Self-service platform capabilities
• Standardized platform templates and frameworks
• Automated developer workflows
• Simplified onboarding and platform documentation
• AI-powered developer assistants and platform copilots
• The goal is to accelerate developer productivity while ensuring platform consistency and governance
• You will shape the future of the Enterprise Data & Analytics Platform, enabling teams across the organization to build and operate data-driven and AI-powered products at scale
• Your work will directly influence:
• Enterprise platform reliability and developer productivity
• Data platform adoption across engineering teams
• Governance automation and data quality improvements
• The next generation of AI-native platform capabilities