Job Description
As a Benchmarking Program Manager, you will have the exciting opportunity to create and evangelize new benchmarking studies, which help customers understand KPI-related benefits they can achieve on AWS. This requires building processes, content, and messaging for internal customer-facing teams and external audiences. You will work cross-functionally to understand requirements, and approaches of a diverse group of internal and external users. This will include developing plans to scale the impact of benchmark studies and assessing innovative ways to apply benchmark insights to help customers with value-based business cases for cloud adoption.
Key job responsibilities
- Work with cross-functional internal stakeholders to design studies and communicate market realities regarding the economics of running IT applications and infrastructures in the cloud when compared to a traditional data center environment.
- Develop and conduct new benchmarking studies to help customers understand the financial and operational benefits of the cloud.
- Own the entire benchmarking study process and relationship with external vendors. Including creating RFPs, and evaluating, selecting and managing vendors.
- Develop and execute go to market and scaling mechanisms for new studies
- Design and manage program impact tracking metrics for management reporting.
About the team
The AWS Cloud Economics Scale team builds tools, IP, and methodology to help customers identify and quantify value creation opportunities at each stage of their journey to the cloud. We engage directly and collaboratively with customers and internal AWS teams to deliver cloud value expertise. The Cloud Economics Scale team helps answer the question: "What value can I expect to achieve by using AWS?"
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Skills
- Amazon Web Services (AWS)unmatched
- Benchmarkingunmatched
- Bid Analysisunmatched
- Business Caseunmatched
- Cloud Computingunmatched
- Cross-Functionalunmatched
- Customer Relationsunmatched
- Customer Support/Serviceunmatched
- Customer/Client Researchunmatched
- Economicsunmatched
- Financial Operationsunmatched
- IP (Internet Protocol)unmatched
- Management Reportingunmatched
- Metricsunmatched
- Network Operations Centerunmatched
- Performance Metricsunmatched
- Project/Program Managementunmatched
- Proposal Writingunmatched
- Vendor/Supplier Managementunmatched
- Vendor/Supplier Relationsunmatched
- Vendor/Supplier Selectionunmatched
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