Principal Product Managemnt, Agentic AI, Last Mile L&D Product & Science

Amazon

Bellevue, WA

Full Time

Senior

162k-280k

9 days ago

Job Description

About the Role

The Learning & Development Product & Science team in Amazon Logistics (AMZL) builds state-of-the-art Artificial Intelligence (AI) solutions for enhancing leadership and associate development within the organization. We develop technology and mechanisms to map the learner journeys, answer real-time questions through chat assistants, and drive the right interventions at the right time. This role involves leading the development and strategy of agentic AI systems in Learning & Development (L&D), defining, building, and scaling intelligent, autonomous learning experiences that drive personalized skill development at scale. The position blends AI/ML product strategy, enterprise learning innovation, and technical program execution, working closely with Applied Scientists, Learning Designers, Data Engineers, and Business Leaders to design AI agents that proactively identify, recommend, and manage employee learning journeys.

Key Responsibilities

Own product vision and roadmap for agentic AI solutions in L&D, aligning with enterprise talent development goals.
Define and prioritize use cases where autonomous agents can drive measurable outcomes such as skills development, learning completion, and performance enablement.
Partner with AI/ML, platform, and L&D teams to translate business problems into technical solutions, including LLM fine-tuning and RLHF for personalized coaching agents.
Develop and evolve data strategies, including skill ontologies, employee learning graphs, and career progression models, to inform intelligent agent behaviors.
Define success metrics, feedback loops, and experimentation plans to measure the effectiveness of AI-powered learning interventions.
Drive integration of agentic AI with internal platforms such as LMS, talent systems, and workflow tools like Asana and Slack.
Ensure compliance with enterprise AI governance, ethics, and data privacy policies.
Present strategy, progress, and insights to senior executives and cross-functional stakeholders.

Requirements

10+ years of end-to-end product delivery experience.
Experience working directly with engineers on product enhancements.
Masters in Science, Statistics, and/or Engineering.
Experience with GenAI platforms (e.g., OpenAI, Anthropic, Cohere) and vector databases.
Experience as a strong leader who can prioritize well, communicate clearly, and influence cross-functional teams.
Experience leading engineering discussions around technology decisions and strategy related to a product.
Experience with LLMs, agent frameworks (e.g., LangChain), and personalization models.
Proven experience in enterprise software or L&D platforms (LMS, talent marketplaces, skilling ecosystems).
Familiarity with employee development frameworks such as talent mobility, career pathing, and skills taxonomies.

Nice to Have

Experience with edtech, HR tech, or enterprise L&D transformation.

Qualifications

Bachelor's degree required.
10+ years of relevant technical product or program management experience.
Masters degree in Science, Statistics, or Engineering.

Benefits & Perks

Competitive salary ranging from $161,900 to $279,900 depending on geographic location and experience.
Total compensation package including potential equity, sign-on payments, and other benefits.
Medical, financial, and other employee benefits.
Workplace accommodations and adjustments available for applicants with disabilities.

Working at Amazon

Amazon is an equal opportunity employer that values an inclusive culture empowering employees to deliver the best results for customers. The company emphasizes diversity, equity, and inclusion, and provides accommodations for applicants with disabilities during the hiring process.

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