Amazon Sr Manager Applied Science Customer Engagement Technology 

United States, Washington, Seattle 

416759918

As a Senior Manager - Applied Science, you will be accelerating the evolution of science and data strategy within Amazon Customer Service. You will be a key influencer and science thought leader who can translate complex business requirements and customer needs into innovative applied AI and technology solutions. Your expertise will be crucial in shaping strategy and addressing complex science problems while driving forward-thinking approaches. You'll evaluate and prioritize initiatives to ensure we're focusing on the most impactful problems for our customers. As a "hands-on" science leader, you will own defining the strategic science vision, have a long-term roadmap, establish the right science team structure, and lead your teams as they deliver production level models that execute on that vision.Key job responsibilities
• Manage and grow the science team with a broad range of domain expertise (e.g., GenAI, NLP), Computer Vision (CV), Ontology, Language Translation, Deep Learning)
• Define science strategy and roadmap, and drive effective execution, including working closely with cross-functional teams (e.g., software engineers, data engineers, product management)
• Lead teams performing strategically important scientific analyses to identify technology gaps and business opportunities
• Research and develop accurate and scalable methods to solve our hardest science problems
• Deliver production-level science models, and be able to quickly approach large ambiguous problems, turn high-level business requirements into models/algorithms, identify the right solution approach, and contribute to software development for production systems
• Champion scientific and operational excellence best practices within your team and influence the broader organizationA day in the life
Benefits Summary:1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 10+ years of applied science experience in deploying AI/Machine Learning solutions to customer facing products
- 3+ years hands-on experience leading multiple ML teams
- PhD in Computer Science, Statistics or related field (or requisite relevant experience)