Director of Business Planning and Pricing, Compute, Networking, GDC and AI Accelerators
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 15 years of product strategy or commercialization leadership experience.
- Experience in venture capital/private equity management consulting in a quantitative function, or tech product finance.
Preferred qualifications:
- MBA or graduate degree in a management, scientific, technical or engineering field.
- Experience with tech IP/Cloud business models, economics, monetization, discounting, customer and partner segmentation and related economics, discounting strategy and frameworks.
- Familiarity with Cloud/IT infrastructure technology.
- Expertise with Value based drivers and competitive pricing within the Cloud/IT space.
- Proven track record of working with and challenging the thinking of product/sales organizations on initiatives related to product/solutions monetization and commercialization.
About the job
As the Director of Business Planning and Pricing Principal for Infrastructure Products, you will lead the team that drives innovation through Google Cloud’s business generation strategy, business models and pricing, incentive frameworks, and channel models for our AI, developer, and Geo/Maps product portfolios. You will directly shape the business and commercial strategies for Google’s most important cutting edge technologies in AI and Machine Learning, including Generative AI initiatives. You will be designing and overseeing the packaging, pricing architecture, and value analysis and pricing for new and existing products and services within the vast Google Cloud Infrastructure products portfolio. You will design policies and structures in partnership with product managers and engineering leaders, GTM leads, and influence cross-functional stakeholders at all levels to ensure successful commercialization and business generation of product innovations.
In summary, you will drive critical initiatives that will transform the way we monetize our cutting edge AI and ML technologies through end-to-end strategic design, commercialization and implementation, while balancing speed of execution with implementation constraints based on the right phased approach.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $262000 - $364000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Lead a team of business planning principals to define and drive the strategic direction for infrastructure products’ business models and business generation, identifying critical opportunities, risks, and cross-organizational initiatives (across Cloud and Alphabet) to ensure market leadership and disruption.
- Oversee the end-to-end product business generation, commercialization and Go-to-Market strategy for new AI products and cross-Cloud offerings, serving as an executive point of contact and leading high-impact, company-wide programs to successful execution. Ensure effectively communication and landing of the initiatives at executive leadership level.
- Lead the design and implementation of innovative packaging, pricing architecture, business generation principles, and policies for all Generative AI initiatives, ensuring consistency across customer segments and channel structures.
- Utilize deep competitive, customer, and quantitative performance insights to inform, iterate, and ensure continuous refinement of the pricing framework, policies, and business generation strategies.
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