Amazon Sr Product Manager - Technical 

United States, Washington, Seattle 

667276717

Key job responsibilities
As a Sr. Product Manager - Technical, you are the end-to-end owner of your product's vision, strategy, and execution. You will define the product roadmap and bring your vision to life by leading a cross-functional team of engineers, designers, program managers, and other product owners. You will drive day-to-day product development from design through to release. Your product requirements are concise, with clear, measurable success criteria. You are an effective negotiator, make smart trade-offs without sacrificing quality, and drive appropriate schedules. You use data to influence our business strategy and technical priorities, and escalate when necessary without damaging relationships. You independently represent your products and the product team and are comfortable communicating with senior executives as well as with business and technical stakeholders.A day in the life
As a Sr. Product Manager - Technical, you will be expected to:
* Dive deep with your customers to identify and understand their pain points.
* Use your technical judgment and understanding to test assumptions.
* Think big to build durable products that anticipate future pain points.
* Deliver products on time with the right feature set and high quality.
* Evangelize your products and drive adoption.
* Contribute to organizational product and roadmap planning.
* Help others grow professionally.

- Bachelor's degree
- 5+ years of end to end product delivery experience
- Experience owning/driving roadmap strategy and definition
- Experience with feature delivery and tradeoffs of a product
- Experience performing statistical analysis of data using SQL, Excel and other tools

- MBA
- Experience in an operational environment developing, fast-prototyping, piloting and launching analytic products
- Experience in building and driving adoption of new tools
- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight
- Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- Experience with technologies like Hadoop, Rules based systems and Machine learning