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About the Role
The Strategic Negotiation team secures infrastructure for Google's future, including underwater cables and data center space. As a Strategic Negotiator, you will combine deep market knowledge with tech industry savvy to negotiate cost-effective solutions supporting Google's infrastructure growth. You will work with project teams on negotiating deals, managing vendor and partner relationships, and presenting deal recommendations to Tech leadership. Your successful negotiations can save Google millions in operating costs and impact the entire business. You will be on the front lines of securing the physical infrastructure that powers Google’s global products, including Google Search, Google Cloud, and AI innovation. You will have experience in data center real estate, commercial negotiations, and financial modeling, as well as the ability to drive goal transactions from market analysis to agreement execution. You will support the execution of key transactions that secure the physical infrastructure for Google's global products and AI initiatives. You will use financial modeling and investigative skills to assist the team in negotiations for data center capacity, including colocation leases and development partnerships. You will play a crucial part in the global strategy, helping ensure timely capacity delivery and achieve cost-efficiency goals.
Responsibilities
- Support the execution of critical real estate leases and agreements (e.g., colocation, power, fiber) by assisting in the agreement, redlining, and management of contractual and business terms.
- Ensure alignment by coordinating closely with internal Legal, Finance, and Technical teams to meet project timelines.
- Conduct market research and financial analysis (including NPV, ROI, and TCO modeling) to forecast pricing, analyze the market landscape, and assess new markets.
- Prepare investment summaries and draft financial business cases for review by executive leadership.
- Maintain tracking systems for the development pipeline and provide regular reports on portfolio performance metrics and market trends.
Requirements
- Bachelor's degree in Real Estate, Finance, Engineering, Business, or equivalent practical experience.
- 6 years of experience negotiating and structuring agreements or leading business development.
- 6 years of experience in commercial or industrial real estate, sourcing, or infrastructure acquisition.
- Experience with corporate finance concepts (e.g., NPV, ROI) and performing financial modeling.
- Understanding of data center concepts, power, or cooling technology.
- Familiarity with basic agreement terms and redlining documents.
- Ability to synthesize information clearly and communicate effectively in a changing, global environment.
Skills
- Negotiating
- Structuring agreements
- Business development
- Commercial real estate
- Industrial real estate
- Sourcing
- Infrastructure acquisition
- Corporate finance
- Financial modeling
- Data center concepts
- Power technology
- Cooling technology
- Agreement terms
- Redlining documents
- Information synthesis
- Effective communication
Experience Level
- 6 years of experience
Education Level
- Bachelor's degree
Salary/Compensations
- US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits
Benefits
- 15% bonus target
- Equity
- Benefits
About the Company
- The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
- We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.