This role is a Customer Solutions Manager at AWS, responsible for leading cloud transformational programs and driving AI adoption for customers. The role involves understanding customer business objectives, translating them into executable plans, and collaborating with various AWS teams and partners to ensure successful implementation and adoption of AWS services, including AI solutions. The manager will also contribute to shaping the Customer Solutions Management function by leveraging generative AI.

This role is for a Startup Account Manager at AWS, focusing on driving growth and revenue within well-funded, high-potential startups. The position requires strong sales acumen, knowledge of the startup ecosystem, and familiarity with AI/ML. Responsibilities include achieving sales quotas, crafting partnerships, accelerating service adoption, and building strategic relationships with key accounts and influencers. The role involves close collaboration with internal teams and business development to execute go-to-market strategies.

This role focuses on driving customer success and adoption of Amazon Q, a generative AI service. The strategist will architect and implement solutions, lead transformation programs, and work with customers and internal teams to realize business value. While it involves generative AI services, the core craft is customer-facing product strategy and implementation, not direct AI/ML model building.

Director of Sales Operations for AWS Japan, focusing on driving long-term business growth through data analysis, forecasting, and optimizing business processes. The role involves supporting Generative AI initiatives to unlock data-driven insights and customer innovation, but the core function is sales operations and strategy, not direct AI/ML model development.

Product Manager Technical role focused on AI-native product development for Amazon's JP Store. The role involves owning the end-to-end customer experience for AI-powered marketing automation, using generative AI to create personalized content and experiences that drive product discovery and conversion across various channels. Responsibilities include defining customer journeys, designing experiments, driving data-driven product development, and collaborating with engineering and design teams on AI-powered features.

This role is a Data Solutions Lead within Amazon's AGI-DS team, focusing on ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, providing expert consultation on data collection, managing customer relationships, and driving business value through technical advisory. Responsibilities include translating research goals into data collection requirements, managing workflows, ensuring data quality, and influencing technical documentation. The role requires strong customer communication, ML data operations experience, and an understanding of data annotation and ML workflows.

This role is a Data Solutions Lead within Amazon's AGI-DS organization, focusing on providing expert consultation for ML/Generative AI data collection. The lead will act as a trusted advisor to scientists, managing customer relationships, driving business value through technical advisory, and ensuring customer satisfaction by creating and managing workflows for data collection. Key responsibilities include translating complex research goals into data collection requirements, documenting solutions, coordinating across teams, building relationships with customer scientists, consulting on ML workflow capabilities, and monitoring/optimizing data collection metrics. The role also involves guiding customers on workflow feasibility and best practices, defining technical requirements with implementation teams, and evaluating annotation scenarios for scalability.

This role is for a Senior Engagement Manager focused on Prototyping and AI Customer Engineering (PACE) within AWS. The primary responsibility is to help customers innovate using emerging cloud technologies, particularly Generative AI services, by collaborating with account teams, partners, and customers to identify opportunities, craft a vision, and oversee the delivery of prototypes. The role involves understanding customer business priorities, articulating value propositions, and driving strategic outcomes through cloud-based solutions. While the role interacts with AI services and prototypes, the core function is customer engagement, program management, and driving adoption of AWS services, rather than direct AI/ML model development or research.

This role is a Data Solutions Lead Manager responsible for managing a Data Collection team focused on ML/Generative AI data collection. The role involves managing team performance, developing expertise in AI data collection and related products, leading global improvement initiatives, coordinating with global teams, monitoring and optimizing collection health metrics, and driving customer service utilization through technical value and customer experience. The manager will also act as an escalation point for difficult data collection cases and collaborate with product/technology teams to build long-term solutions.

This role focuses on advising AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. It involves creating and managing workstreams for data collection requirements, coordinating delivery, and monitoring collection health metrics. The role requires a strong understanding of data annotation and ML workflows, with a focus on customer success and technical consultation.

Senior GenAI / Agentic AI Sales Manager for AWS Global Sales, focusing on driving revenue and customer adoption of Generative AI and Agentic AI technologies. The role involves technical sales, solution advisory, and customer engagement to translate AI capabilities into business value.

Senior Product Manager for JP Books at Amazon, focusing on selection strategy and science for Kindle and Print Retail. The role involves defining strategic frameworks, developing a selection science roadmap, identifying and capturing opportunities, and partnering with cross-functional teams. Key responsibilities include building the selection strategy roadmap, defining analytics and metrics, driving automation through AI/ML, establishing benchmarking and research capabilities, and reporting to senior leadership. The role emphasizes balancing customer experience, publisher partnerships, and business growth, with opportunities to innovate using AI/ML.

Senior Sales Trainer & Coach for AWS, responsible for delivering executive foundation training, deal coaching, and Generative AI enablement. Develops and executes global sales training curriculum strategy, requiring program development expertise, cross-functional collaboration, and project management.

This role is for an Engagement Manager at Amazon Web Services (AWS) Professional Services. The primary focus is on managing and coordinating projects to help customers achieve their business goals. The role involves strategic planning, understanding customer needs, managing stakeholders, and ensuring project success. While the company is involved in AI, this specific role is a customer-facing project management position, not directly building or researching AI models.