Senior Tech Product Manager, Amazon

• Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
• 5+ years of technical product or program management experience
• 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Bachelor's degree or equivalent in a related field
• Experience owning feature delivery and tradeoffs of a product
• Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying

Desirable

• At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies
• The organization comprises two specialized teams: Strategic Customer Engagements (SCE), which guide ** transformative deals with industry leaders, and Private Pricing Programs & Experiences (3PX), which scales and optimizes pricing solutions across our diverse customer base
• Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with state-of-the-art technologies and global clients
• The Global Deal Strategy and Programs (GDSP) organization is responsible for the AWS Private Pricing Program, designed to offer AWS Customers access to commercial benefits in exchange for multi-year spend commitments
• Private Pricing offers AWS customers the opportunity to accelerate their cloud transformation journeys through multi-year relationships with AWS, delivering maximal value to customers in terms of pricing, access to services, and opportunities to innovate
• For Amazon, Private Pricing drives more extensive, deeper, and longer-lasting relationships with customers
• Today, Private Pricing largely serves AWS’s enterprise customers seeking to make cloud commitments in exchange for pricing value, and exclusively serves customers brought in via AWS or partner sellers
• Private Pricing is poised to grow both revenue and margin by expanding access to Private Pricing and by expanding the value proposition of AWS for Private Pricing customers
• The GDSP team is seeking an individual that has the ability to communicate effectively across multiple technical and non-technical business units, as well as across geographies
• Successful members of this team collaborate effectively to solve data problems, implement new reporting solutions, and deliver successfully against high operational standards
• The ideal candidate will be a highly motivated individual that seeks to “tell the story” of the data with little direction or supervision
• Lead sales executive discussions to share insights, challenge status quo, and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing
• Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services
• Develop a deep understanding of sales metrics, reporting tools, and data structures in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools
• Develop relationships and processes with sales, finance, sales operations, and other functional teams to identify and address reporting issues
• Manage and develop analytical tools or reports that through the automation existing inspection mechanisms such as business reviews, annual planning, and forecasting processes
• Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking
• Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems
• Create new mechanisms and business processes that simplifies, standardizes and enables operational excellence