You'll work at the intersection of AI product development and learning science, partnering directly with software engineering teams to embed a common teaching methodology into the tools they build. This role owns the product strategy for AI-powered training capabilities - not as a standalone learning platform, but as integrated features within the developer tools that Amazon's worldwide logistics workforce uses daily. Your primary customers are the software teams building these tools. You'll define how coaching, guided practice, and contextual instruction get architected into their platforms - requiring you to understand their codebases, APIs, and system constraints well enough to write technical requirements they can build from. You'll drive alignment across disparate engineering teams to deliver a cohesive learning experience that feels unified to the end user despite living across multiple tool surfaces. The successful candidate brings 10+ years of product management experience, with at least 5 of those years shipping developer-facing products - tools, platforms, SDKs, or APIs where your key stakeholders were engineers. You've written technical specs, participated in architecture discussions, and made integration tradeoffs across teams with different tech stacks. You understand how LLM-powered features get built, deployed, and measured in production. While the mission is learning, the daily work is technical product leadership: unblocking engineering dependencies, negotiating platform extensibility patterns, and driving convergence across teams that don't share a codebase. You'll translate learning science into buildable, scalable product requirements that engineering teams respect and ship against. Key job responsibilities - Define and own the product roadmap for embedding AI-powered learning capabilities into logistics tools - prioritizing based on engineering feasibility, user impact, and cross-platform dependencies - Serve as the primary product interface between 5+ tool builder teams with independent codebases, driving convergence toward a unified teaching methodology without requiring shared infrastructure - Negotiate platform extensibility patterns and API contracts that allow individual tool teams to implement learning features consistently while preserving their development velocity - Partner with Science and Engineering teams to define how LLM-powered coaching, contextual guidance, and adaptive learning features get built, tested, and deployed into production - Own the experimentation framework - define hypotheses, design A/B tests, and interpret results to determine which AI-driven interventions measurably improve learning outcomes - Define KPIs that measure both learning effectiveness (skill acquisition, time-to-proficiency, error reduction) and product health (adoption, engagement, feature utilization) - Align Operations, L&D, and Engineering leadership on quarterly priorities - translating technical constraints into business language and business needs into engineering requirements - Write product narratives (PRFAQs, BRDs, technical specs) that withstand scrutiny from both senior business leaders and principal engineers 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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! BASIC QUALIFICATIONS - 10+ years of product or program management, product marketing, business development or technology experience - 10+ years of blending product and program management skills to execute strategic initiatives about process creation, standardization, and improvement experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with end to end product delivery - Experience with feature delivery and tradeoffs of a product - Experience as a product manager or owner PREFERRED QUALIFICATIONS - Experience owning technology products The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Bellevue - 161,900.00 - 219,000.00 USD annually