Product Strategy and Operations Principal, Cloud AI

vibehackers

Sunnyvale (CA)

Hybrid

USD 176,000 - 256,000

Full time

14 days+

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Benefits offered by this job

Equity
Bonus target (20%)
Comprehensive benefits

Job summary

Vibehackers seeks a Product Strategy and Operations Principal for Cloud AI to lead the transition from legacy cloud data operations to agentic, AI-native systems. You will own the Intelligent Data Platform roadmap, partnering with VP-level leaders to translate AI infrastructure needs into business roadmaps and GTM plans.

Reporting to senior executives, you will drive cross-functional programs, mentor junior staff, and deliver strategic analyses to accelerate Cloud AI adoption and operational

Qualifications

  • Minimum: Bachelor’s degree or equivalent practical experience.
  • Experience in management consulting, product management, strategy, or analytics in tech.
  • Experience with data analysis and cross-functional programs.
  • Go-to-market strategy experience and executive decision support.
  • Advanced SQL, Python, BigQuery preferred.

Responsibilities

  • Lead pivot from legacy cloud ops to AI-native data architectures.
  • Architect agentic platforms codifying domain knowledge for non-technical users.
  • Own Intelligent Data Platform roadmap and GTM strategies.
  • Support VP-level decisions with timely analyses and presentations.
  • Manage cross-functional programs and mentor juniors.
  • Drive complex projects to successful outcomes.

Skills

Strategic planning
Product strategy
Operations
Cross-functional leadership
Program management
Project management
Data analysis
Go-to-market strategy
Stakeholder management
People management
Presentation
Business strategy
Roadmapping
Strategic analysis

Education

Bachelor’s degree or equivalent practical experience

Tools

SQL
Python
BigQuery

Job description

Product Strategy and Operations Principal, Cloud AI

Explicitly references vibe coding platforms and agentic systems—building AI-native workflows that codify domain knowledge into agents for non-technical stakeholders.

About the Role

Lead Product Strategy and Operations for Google Cloud AI, driving the shift from legacy cloud data operations to agentic, AI-native systems and defining the Intelligent Data Platform roadmap. Partner with VP-level leaders to translate AI infrastructure needs into actionable business roadmaps, GTM strategies, and operational execution to enable step-change improvements.

Job Description
Role

Principal, Product Strategy and Operations for Cloud AI responsible for leading the transition from legacy cloud AI structures to agentic ecosystems and owning the Intelligent Data Platform roadmap. The role bridges generative AI development and commercial execution and partners with VP-level leaders to translate complex AI infrastructure needs into business roadmaps and GTM strategies.

Key Responsibilities
  • Lead strategic pivot from legacy cloud operations to an AI-native posture, identifying high-impact AI-ification opportunities that deliver order-of-magnitude improvements.
  • Architect the move toward platforms where domain knowledge is codified into agentic systems, enabling non-technical stakeholders to interact with hyperscale data through intent.
  • Drive consolidation from fragmented data silos to a unified data engineering platform and own roadmap priorities.
  • Perform strategic analysis to inform Cloud AI strategy (partner/ISV impact, product opportunity sizing, customer cohort analysis).
  • Work directly with VP leaders to support decision making through timely analysis, alignment, and presentations; manage cross-functional programs and stakeholders.
  • Independently drive complex projects and guide junior team members to successful outcomes.
Requirements & Qualifications
  • Minimum: 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 supporting executive-level decision making.
  • Preferred: advanced SQL, Python, and BigQuery experience.
  • Preferred: understanding of enterprise software business models and ability to deconstruct legacy operations to architect agentic AI replacements.
  • Strong skills in problem identification, project design, independent execution, and mentoring/junior team guidance.
  • Ability to ramp up quickly across topics from accounting/business recognition to AI/ML applications.
Compensation & Benefits (excerpt)
  • US base range: $176,000 - $256,000 (USD).
  • 20% bonus target, equity, and additional benefits.
What Success Looks Like
  • Delivering a roadmap and operating model that moves the organization from reactive data posture to proactive, intent-driven data architectures.
  • Enabling non-technical stakeholders to access and act on hyperscale data via agentic, intent-driven systems.
  • Driving strategic initiatives that materially accelerate Cloud AI product adoption and operational throughput.
SQL Python BigQuery Google Cloud Generative AI Agentic AI
Skills

Strategic Planning Product Strategy Operations Cross-functional Leadership Program Management Project Management Data Analysis Go-to-Market Strategy Stakeholder Management People Management Presentation Business Strategy Roadmapping Strategic Analysis

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