Software Development Manager, Devices Pricing and Promotions

2 weeks ago

Denver, Colorado, United States Amazon Services LLC Full time
Demand Science Optimization (DSO) organization builds supply chain software systems in the realm of Machine Learning (ML/AI/LLM) and economic modeling to address specific device-related challenges within inventory management functions: demand forecasting, pricing, and allocation. Our goal is to achieve a high level of automation, enabling a hands-off approach to assess tradeoffs such as pricing and promotion strategies, prediction and optimization services, and economic valuation. This approach aims to expedite the operational and financial leverage of Devices and Services, enhance customer satisfaction, and direct our team's expertise towards strategic decisions that have lasting implications. With a diverse product portfolio including popular devices like Alexa, Kindle, Ereader, Ring, Blink, and more, DSO faces intricate challenges.

Our software solutions wield considerable influence, as our predictive algorithms guide the allocation of billions of dollars across a multitude of distribution points globally. Our products materially impact Amazon's devices businesses by forecasting demand for all Amazon Devices using Machine Learning (ML) and big data.

BASIC QUALIFICATIONS

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

PREFERRED QUALIFICATIONS

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

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