Description Do you want to help define the future of AWS AI Chips (AWS Inferentia/Trainium) Go to Market (GTM)? You will be part of the core worldwide AWS AI Chips Business and GTM team, driving our most strategic customer and industry partnership engagement programs. Our customers build and deploy GenAI applications on our Chips across many industry segments. You will collaborate with Neuron engineering, Business and product leaders to ensure we meet and exceed our customer expectations. This work includes managing relationship with leading ML frameworks and library providers, and working with cross teams in AWS to accelerate customer adoption of AWS Inferentia and Trainium based instances. At Annapurna, our TPM role is focused on working amongst multiple teams to deliver functionality that those teams are responsible for. The TPM is the “glue” that holds teams together and maintains a bird’s eye view over what those teams are delivering and how those deliverables fit together. This involves two aspects, both equally important: The “Technical” part of “TPM” requires identifying dependencies and technical risks that affect the various teams represented. The “Program Manager” part of “TPM” involves scheduling, creating milestones, and reporting status. As part of your project and program ownership, you focus on the larger business and technology picture (i.e., customer experience, processes, opportunities, and/or problems to be solved). You deeply understand the business and technical requirements of the solutions being built and drive the right outcomes. You take the time to understand the needs of engineers (who have to build what, maintain, and extend features for the life of the project). You help your customers and the engineering teams make appropriate trade-offs by considering the larger picture (e.g., business goals, user experience, dependency impacts, efficiency, availability). You partner with technical managers to secure resources, scope technical efforts, set project priorities, milestones, and drive delivery. You determine if success metrics are in place, and if not work to define them. As part of this role, you will work directly with external technology providers, customers, and partners. To be successful, you have a solid understanding of the design approaches and industry technologies utilized. You make connections (to people and/or technologies) and make sure the right people are part of the conversation. For example, you are able to recognize when a proposed design is too complex or risky (and arrange additional reviews by senior engineers). You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers and 3rd party model providers. Key job responsibilities Lead internal/external cross-team technical projects to accelerate adoption of AWS AI Chips Manage complex customer and partner deliveries Drive scale with external partners Provide technical direction with limited assistance Communicate project status to the executive team About the team The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and business development. Along with the AI Chips Inferentia and Trainium, Annapurna Labs has delivered advancements in Networking with AWS Nitro, Amazon’s first ARM based instances with AWS Graviton and first FGPA instances in the cloud. Basic Qualifications - * 5+ years of TPM within a large engineering org, or relevant technical partnership management - * 3+ proven experience in driving the delivery of large technology programs or products. - * 3+ years of software engineering experience - * Design knowledge and expertise to drive technical decisions and anticipate technical risks - * Experience managing programs across cross functional teams, building mechanisms of scale - * Working knowledge of one or more ML Frameworks (e.g., PyTorch, JAX) and ML methods including GenAI foundation models, computer vision models, multimodal techniques - * Bachelor's degree or equivalent Preferred Qualifications - * Experience developing strategies that influence leadership decisions at the organizational level - * Experience with cloud computing and or related fields. - * Experience interfacing with GenAI/ML customers and partners, with deep understanding of GenAI market landscape, ecosystem, and ability to articulate technology and value proposition - * Experience driving partnerships and developing strategic joint programs with AI/ML model providers - * Deep hands-on understanding of deep learning and other ML algorithms with hands-on experience running POCs to demonstrate capabilities to prospects Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. 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.