Sr. Manager, Applied Science, Prime Video Personalization & Discovery
About The Position
As the Sr. Manager, Applied Science in the Prime Video Personalization and Discovery organization, you will be responsible for optimizing the complete customer experience, across the touch points throughout customers’ discovery journey. This includes building AI and optimization solutions, working with the business, product, engineering teams to deliver the optimal balance of customer delight and business outcomes. Responsibilities include direct management of senior engineers and scientists, setting vision and long-range technical strategy, product definition, roadmap planning, driving cross-functional execution, developing and maintaining experimentation and production services, owning ML and engineering excellence quality bar, and customer and stakeholder communication. Additionally, as our organization is growing, hiring top-notch engineers and scientists will be a key focus.
Requirements
- M.S. in Computer Science, Machine Learning, or a related field.
- 10+ years experience in recommendation, search, natural language processing, machine learning, or a related field.
- Expertise in large language models applications or demonstrated ability to develop this expertise quickly.
- Proven track record of leading and managing science and engineering teams in building complex, real-time systems involving AI, ML, NLP with successful delivery to customers.
- Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
- Ability to take a project from requirements gathering and design to actual product launch.
- Excellent written and verbal technical communication with an ability to present complex technical information in a clear and concise manner to a variety of audience.
- Exceptional customer relationship skills including the ability to discover the true requirements underlying feature requests, recommend alternative technical and business approaches, and lead science efforts to meet timelines with optimal solutions.
Nice To Haves
- Ph.D. in Computer Science, Machine Learning, or a related field.
- Work with academic partners to support our in-house talent with direct access to research and mentoring.
- Demonstrated track record of peer-reviewed scientific publications that advance state-of-the art for applied science.
Responsibilities
- Optimizing the complete customer experience across discovery journey touch points.
- Building AI and optimization solutions.
- Working with business, product, and engineering teams to balance customer delight and business outcomes.
- Direct management of senior engineers and scientists.
- Setting vision and long-range technical strategy.
- Product definition and roadmap planning.
- Driving cross-functional execution.
- Developing and maintaining experimentation and production services.
- Owning ML and engineering excellence quality bar.
- Customer and stakeholder communication.
- Hiring top-notch engineers and scientists.
Benefits
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
- sign-on payments
- restricted stock units (RSUs)
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What This Job Offers
Job Type
Full-time
Career Level
Manager
