JOB DESCRIPTION
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.
RESPONSIBILITIES
- 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.
QUALIFICATIONS
- 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.
