Senior Technical Program Manager, AI Acceleration, Luna Prime Gaming Gen AI

We are seeking a hands-on Senior Technical Program Manager to drive our Agentic AI Acceleration Program. You will be a critical early member as we enhance productivity of our internal team through the adoption of best practices and tools as well as the creation of this role youll orchestrate the development and implementation of AI-powered solutions that will unlock both revenue generating and efficiency opportunities. You will collaborate closely with domain leads (Marketing Product Engineering etc.) and cross-functional teams (Legal Finance etc.) to identify the most impactful opportunities for both assist and agent use cases. You will focus on use cases that enhance productivity across teams leveraging AI to improve workflows automate tasks and create efficiencies for Amazon employees. Equally important you will structure and define a change management program to measure and scale results.

The ideal candidates is a passionate advocate for technological innovation who can influence cultural transformation leading programs that not only implement new tools but fundamentally shift how teams approach software development. Your role will include helping to define product roadmaps creating playbooks and setting clear guidelines for responsible AI usage. This is an exciting opportunity to work in a dynamic environment where youll shape the future of gaming with AI.


Key job responsibilities
* Program Management: Lead end-to-end project management for key strategic initiatives across Gen AI-powered internal productivity tools and agents.
* Stakeholder Coordination: Coordinate with external vendors cross-functional partners (Product Engineering Legal Marketing PR and more) and other AI programs to drive delivery as well as shared learnings
* Technical Integration: Oversee technical integration of Gen AI features into internal workflows ensuring compatibility and optimal performance.
* Launch Strategy: Develop and execute launch strategies including marketing collaboration user feedback loops and post-launch support.
* Best Practices: Partner with teams across other Amazon businesses to adopt best practices and create playbooks.
* Use Case Identification: Identify and prioritize internal productivity use cases where Gen AI can add value such as automating repetitive tasks or enhancing data analysis.
* Agent Creation: Lead the creation of AI agents for internal use from concept to deployment focusing on enhancing operational efficiency and employee productivity.
* Training and Evangelization: Develop training programs and provide support to internal teams to ensure effective adoption and utilization of AI-powered tools.
* Performance Monitoring: Establish metrics and dashboards to monitor the performance and impact of AI agents on productivity metrics.

About the team
We are leveraging the power of the cloud to enable customers to experience the rich and immersive world of gaming on all of their existing devices. It represents an exciting and truly new product and business with a high degree of innovation and an opportunity to reach a large volume of passionate customers. The Gen AI & Strategic Initiatives team is a new cross-functional team pioneering AI-powered features that elevate gameplay and drive engagement in exciting new ways. This team works at the intersection of cloud gaming AI and interactive entertainment building experiences that will change how games are discovered developed and played by millions.

- 7 years of working directly with engineering teams experience
- 5 years of technical product or program management experience
- 5 years of technical program management working directly with software engineering teams experience
- 3 years of software development experience
- Experience managing programs across cross functional teams building processes and coordinating release schedules
- Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations
- Strong technical fluency in Generative AI including a deep understanding of large language models (LLMs) AI model behavior and trade-offs (e.g. model size latency cost and output quality).
- Experience in analyzing complex large-scale data sets and making decisions based on data.
- Passion for staying current with the latest developments in AI technologies and applying those insights to real-world product challenges
- * Bachelors degree (or foreign degree equivalent) in Computer Science Engineering Information Systems Analytics Mathematics Physics Applied Sciences or a related field.

- Experience running change management programs
- Experience with foundational AI models and tuning techniques including working with AWS AI services such as SageMaker Bedrock and others.
- Prior engineering experience with skills in Python programming and SQL

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $133900/year in our lowest geographic market up to $231400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.