Description Amazon Fulfillment Tech (AFT) is a critical pillar within Amazon, responsible for developing the foundational technologies, platforms, and capabilities that power the company's vast and complex operations. As the innovation engine behind Amazon's internal systems and solutions, AFT plays a pivotal role in driving operational excellence, efficiency, and the continuous evolution of Amazon's business. AFT teams work on a diverse array of mission-critical projects, from building the core infrastructure and software systems that underpin Amazon's global logistics network, to developing advanced AI and machine learning models that optimize every aspect of our operations. This includes foundational work in areas like large language models, computer vision, optimization, and predictive analytics - all of which are instrumental in enhancing productivity, safety, and the overall customer experience across Amazon. As a Principal PMT in Amazon Fulfillment Tech, you will be part of the AFT Science team. In this influential role, you will shape the strategy, roadmap, and delivery of a cutting-edge large language model (LLM) tailored to support the unique operational needs of Amazon's Fulfillment Centers and related internal teams. This model will serve as the backbone for a wide range of generative AI-powered applications and initiatives within our Fulfillment Center operations. By defining a product strategy that enables broad generalization, you will also ensure that teams across AFT and more broadly across Amazon are able to easily build innovative, AI-driven solutions that drive operational excellence, productivity, and the continuous improvement of our fulfillment capabilities. By raising the bar for operational excellence across the entire network, your work will have a direct and significant impact on the efficiency, agility, and customer experience of Amazon's global logistics operations. To be successful in this role, you will leverage your experience in launching generative AI solutions to craft a transformative product strategy for fulfillment operations. You'll assess the current landscape, define a compelling vision, and identify high-impact use cases across Amazon's fulfillment ecosystem. Your ability to determine core model capabilities, develop a phased implementation roadmap, and establish clear success metrics will be crucial. You'll create a comprehensive adoption strategy, fostering cross-team collaboration to maximize the model's potential. Your expertise in translating generative AI capabilities into business solutions will drive innovation, setting ambitious benchmarks for operational improvements. Ultimately, you'll be a key driver in revolutionizing Amazon's fulfillment operations through the power of Generative AI. Key job responsibilities * Lead the product strategy and roadmap for a new generative AI-based model, aligning it with the broader objectives and initiatives within AFT and across Amazon. * Define the product requirements and feature sets to maximize the model's utility in optimizing workflows, automating decision-making, and enhancing productivity across key functional areas such as Inbound, Outbound, Associate Experience, Safety, and supporting processes. * Partner closely with the AFT AI/ML science and engineering teams to ensure the model is continuously enhanced with state-of-the-art generative AI capabilities. * Advocate for the model's adoption and evangelization within the target internal customer base, driving engagement and maximizing the value delivered. * Monitor model performance, user feedback, and market/competitive trends to inform iterative product improvements and future development. * Collaborate cross-functionally with stakeholders in areas like Operations, IT, and Product Management to align the model with broader operational and technological strategies. * Effectively communicate the strategic importance and business impact of the product across organizations and leadership levels. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team The AFT Science team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch. Basic Qualifications - 8+ years of product or program management, product marketing, business development or technology experience - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Bachelor's degree - Exceptional communication and stakeholder management skills, with the ability to bridge technical and business domains. Preferred Qualifications - Demonstrated understanding of Large Language Models (LLMs), including their architecture, training methodologies, and current limitations 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 $161,900/year in our lowest geographic market up to $279,900/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.