Product Strategy and Operations Principal, Cloud AI

Responsibilities

• Lead the strategic pivot from legacy cloud operations to an AI-native posture, identifying high-impact AI-ification opportunities that drive 10x rather than 10% growth/efficiency gain.
• Architect the transition toward vibe coding platforms where human domain knowledge is codified into agentic systems, allowing non-technical stakeholders to interact with hyperscale data through natural intent.
• Lead the transition from fragmented data silos to a unified data engineering platform.
• Lead strategic analysis that informs Cloud’s AI strategy such as identifying impacts of accelerating growth through ISV and SI partners, analyzing opportunity size for products, or identifying of business acceleration through customer cohort analysis.
• Work directly with VP leaders to support day-to-day decision making through timely analysis, excellent people management skills to drive alignment, and effective presentation skills.
• - Lead the strategic pivot from legacy cloud operations to an AI-native posture, identifying high-impact AI-ification opportunities that drive 10x rather than 10% growth/efficiency gain. - Architect the transition toward vibe coding platforms where human domain knowledge is codified into agentic systems, allowing non-technical stakeholders to interact with hyperscale data through natural intent. - Lead the transition from fragmented data silos to a unified data engineering platform. - Lead strategic analysis that informs Cloud’s AI strategy such as identifying impacts of accelerating growth through ISV and SI partners, analyzing opportunity size for products, or identifying of business acceleration through customer cohort analysis. - Work directly with VP leaders to support day-to-day decision making through timely analysis, excellent people management skills to drive alignment, and effective presentation skills.

Minimum qualifications:

Preferred qualifications:

Qualifications

• Minimum qualifications: - Bachelor's degree or equivalent practical experience. - 11 years of experience in management consulting, product management and strategy, or analytics in a technology company. - Experience working with and analyzing data, and managing multiple cross-functional programs or projects. - Experience building go-to-market strategies. Preferred qualifications: - Experience with advanced SQL, Python, and BigQuery. - Understanding of enterprise software business models. - Ability to deconstruct complex, legacy operations and architect an Agentic AI replacement that achieves a step-function improvement in throughput or time-to-insight - Ability to identify problems, design projects to address, execute with little guidance, and guide the work of more junior team members. - Ability to independently drive complex projects with multiple executive stakeholders to successful completion. - Ability to ramp up quickly on a wide range of topics from accounting business recognition to AI/ML applications.