Product Strategy and Operations Principal, Cloud AI
Explicitly references vibe coding and Agentic AI—architecting agentic systems to codify domain knowledge for non-technical stakeholders.
About the Role
Lead Product Strategy and Operations for Cloud AI at Google, driving the transition from legacy cloud data operations to agentic, AI-native systems. Own the Intelligent Data Platform roadmap, translate AI infrastructure needs into business and GTM strategies, and partner with senior leaders to execute high-impact cross-functional programs.
Job Description
Role
As Principal of Product Strategy and Operations for Cloud AI, you will lead the evolution from legacy cloud AI structures to Agentic ecosystems, owning the Intelligent Data Platform roadmap and bridging high-level statistical modeling with global operational scale. You will partner with VP-level leadership to translate AI infrastructure needs into actionable business roadmaps and go-to-market strategies.
Key Responsibilities
- Lead strategic pivot from legacy cloud operations to an AI-native posture, identifying high-impact AI opportunities that drive step-function improvements in throughput or time-to-insight.
- Architect the transition toward agentic and “vibe coding” platforms that codify human domain knowledge into systems for non-technical stakeholders.
- Drive consolidation from fragmented data silos to a unified data engineering platform and own the Intelligent Data Platform roadmap.
- Conduct strategic analyses informing Cloud AI strategy, including partner-led growth (ISV/SI), opportunity sizing, and customer cohort analyses.
- Work directly with VP leaders to support decision making through timely analysis, alignment, and effective presentations.
- Independently lead complex cross-functional programs and guide more junior team members.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Minimum 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 and driving complex projects with executive stakeholders.
- Preferred: advanced SQL, Python, and BigQuery experience; understanding of enterprise software business models; ability to design and architect Agentic AI replacements for legacy operations.
Compensation
- US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits
Notes
- Role sits at the intersection of generative AI development and commercial execution and emphasizes both strategic analysis and operational scaling.