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Description

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 agents. In this role, you'll 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 you’ll 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

Amazon Luna is a cloud gaming service that makes it easy for anyone to play high-quality games on the devices they already own—including Fire TV and tablet devices, smartphones, tablets, web browsers, select smart televisions from LG and Samsung, and more--with no need to purchase new gaming consoles or equipment. Luna brings more than 50 games to Prime members at no additional cost, including GameNight, an evolving collection of more than 25 approachable, local multiplayer games designed to bring friends and family together in the living room. To play GameNight titles, simply scan a QR code on your TV and your smartphone becomes your controller. With simple and responsive touchscreen inputs and support for multiple local players, GameNight offers and easy and approachable way to play whether you’re an experienced gamer of a casual fan.

Basic Qualifications

- 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

- * Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field.

Preferred Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $133,900/year in our lowest geographic market up to $231,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.