Product Manager

You will own the product strategy and roadmap for capabilities that transform how users—business associates, analysts, and developers—interact with data, insights, and enterprise systems.
This is a unique opportunity to shape how AI unlocks productivity, agility, and decision-making across a global enterprise.

What Success Looks Like

• User Adoption: Measurable growth in unique active users across business and developer personas.
• Accuracy & Trust: ≥ 80% accuracy on benchmarked AI responses, with high user satisfaction scores.
• Productivity Impact: Demonstrable improvements in developer and analyst productivity through AI-driven automation and insights.
• Scalability: New teams/domains onboarded with reduced friction and improved metadata quality.

Why Join Us

• Lead the product vision for AI-first user experiences in one of the world’s largest enterprises.
• Drive adoption of tools that enable both business users and developers to get faster, better insights.
• Shape the future of AI governance, trust, and knowledge enablement at scale.
• Join a collaborative, high-visibility team with the resources to deliver industry-defining impact.
  

• Define and drive product vision, strategy, and execution for AI-driven user enablement, spanning natural language insights, analytics experiences, developer productivity tools, and enterprise chatbots.
• Partner with engineering, data science, and platform teams to deliver scalable and secure solutions across cloud and enterprise ecosystems.
• Lead user discovery and research across multiple personas (business associates, plant engineers, analysts, developers) to ensure solutions address real pain points.
• Translate user needs into epics, PRDs, and evaluation benchmarks; prioritize features and enhancements using impact-driven frameworks.
• Build and maintain success metrics around adoption, accuracy, usability, and performance to guide continuous improvement.
• Advocate for governance, metadata quality, and knowledge management to ensure AI-driven tools produce accurate and trusted results.
• Communicate product strategy and progress to senior leadership and stakeholders, influencing adoption and organizational alignment.

• 8–10 years of Product Management experience, ideally with data, analytics, AI/ML, or developer tools.
• Proven success in AI/ML-enabled products, with strong understanding of large language models (LLMs), NLP, and conversational interfaces.
• Strong grasp of cloud technologies, enterprise data platforms, and modern analytics ecosystems.
• Demonstrated ability to work across cross-functional teams (engineering, ML, UX, business stakeholders) to drive end-to-end delivery.
• Excellent skills in user research, stakeholder engagement, and storytelling with data.
• Experience setting KPIs and evaluation frameworks for AI/analytics products.
• Strong written and verbal communication skills; able to engage both executive and technical audiences.

Preferred

• Master's degree in a relevant technical field. (Preferred, not necessary)
• Extensive experience with Google Cloud Platform (GCP) services for compute, storage, messaging, and data solutions (e.g., Cloud Run, Pub/Sub, Cloud Storage, and various data processing services).
• Strong understanding and experience with data-centric architectures, including data ingestion, transformation, storage, and consumption patterns, with an emphasis on data quality and integrity.
• Familiarity with distributed systems, microservices architectures, and event-driven patterns in a cloud environment.
• Experience with building and managing data pipelines, data integration, or enterprise system integration projects.
• Knowledge of monitoring, logging, and alerting best practices for production systems on GCP.