Applied Science Manager Selling Partner Communities SPC

The Selling Partner Communities (SPC) teams north star vision is to ensure every selling partner (SP) is satisfied with their experience selling in the Amazon store. We look holistically at the seller experience through the voice of the seller both in conversations they have directly with Amazon and each other to identify opportunities to improve the SP experience.

As the Applied Science Manager you will own and drive the science teams charter working backwards from seller problems and product strategy to develop a longterm science vision and plan. You will guide your team in creating and deploying sophisticated algorithms and models that drive measurable improvements in seller experience and business metrics. This includes enhancing our Seller Forums Seller News Strategic Seller Communications Amazon Seller Social Media presence and our flagship Accelerate conference.

A successful candidate is also passionate about driving innovation and shaping the future of seller communities with the ability to operate like a startup within Amazon moving quickly experimenting rapidly and adapting to changing business needs. You should be comfortable spearheading the development of innovative ML LLM and generative AIdriven solutions and be a trusted partner who can energize our crossfunctional team of scientists engineers product and business leaders to persevere through challenges and achieve impactful results on behalf of our selling partners.

Key job responsibilities
Lead Science Vision and Roadmap Own and drive team charter working backwards from customer problems and product strategy to develop a longterm science vision and plan team tenets and contribute to organizational working backwards documents (e.g. press release FAQs).

of Science Roadmap Develop mechanisms that enable team to collaborate on research deliver independently and integrate with e2e process and upstream and downstream technology and business dependencies. Insist on a high bar for deliveries with monitoring and audit mechanisms for your teams solutions.

Lead Science Brand Work with Product and Tech leaders to expose and accelerate science innovation internally and to other organizations.

Hire develop and nurture scientists Grow and develop scientists both direct reports and others in organization in not just hard science and technical skills and competencies but also leadership principles and collaborations with other scientists and project team members to grow their ability to increase scope impact and influence at Amazon.


3 years of scientists or machine learning engineers management experience
3 years of building machine learning models or developing algorithms for business application experience
Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Knowledge of ML NLP Information Retrieval and Analytics
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 communicating with users other technical teams and management to collect requirements describe software product features and technical designs

Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.