Product Manager Technical - AI

Partner closely with engineering, applied science, data science, analytics, UX, operations, legal, compliance, and external vendor/partner teams to deliver AI-enabled products from. " Define AI product evaluation frameworks, including quality benchmarks, regression criteria, human-in-the-loop review, model performance monitoring, feedback loops, and launchreadiness.

Product Manager Technical - AI
Seattle WA
Role Overview
The Product Manager Technical (AI) leads the strategy, roadmap, and delivery of AI-enabled
products that drive business transformation, operational efficiency, and customer value. This role
partners across engineering, data science, and business teams to identify high-impact
opportunities, develop scalable AI solutions, and deliver measurable outcomes through
responsible AI innovation.
Key Responsibilities
" Own the product vision, strategy, and multi-quarter roadmap for AI-enabled capabilities
that improve customer, partner, and operational workflows. Amazon Senior PMT postings
emphasize owning product vision, strategy, roadmap, and end-to-end outcomes.
" Work backward from customer and partner pain points to define AI product opportunities,
business cases, product requirements, and measurable outcomes.
" Identify where AI/ML, generative AI, agentic workflows, or intelligent automation can reduce
friction, improve decision quality, increase speed, or scale operational processes.
" Translate ambiguous business problems into clear product requirements, acceptance
criteria, launch readiness requirements, partner integration expectations, and measurable
success metrics.
" Partner closely with engineering, applied science, data science, analytics, UX, operations,
legal, compliance, and external vendor/partner teams to deliver AI-enabled products from
concept through launch and continuous improvement.
" Define AI product evaluation frameworks, including quality benchmarks, regression criteria,
human-in-the-loop review, model performance monitoring, feedback loops, and launchreadiness
gates.
" Drive experimentation strategies such as pilots, phased launches, workflow trials, A/B
testing, and feedback mechanisms to validate product assumptions and improve product
performance over time.
" Establish instrumentation, dashboards, and inspection mechanisms to track adoption,
customer experience, partner engagement, model performance, operational health, and
business impact.
" Use data, customer insights, partner feedback, and technical constraints to make
prioritization and trade-off decisions across competing roadmap opportunities.
" Incorporate responsible AI considerations into product design and lifecycle mechanisms,
including fairness, explainability, privacy and security, safety, controllability, veracity and
robustness, governance, and transparency.
" Build scalable operating mechanisms including roadmap reviews, launch readiness
reviews, risk/dependency tracking, executive narratives, decision papers, and post-launch
business reviews.
" Influence upstream and downstream roadmaps where dependencies exist, earning trust
through clear writing, strong judgment, technical depth, and consistent delivery.
Basic Qualifications
" Bachelor s degree in Computer Science, Engineering, Information Systems, Business,
Mathematics, Economics, or a related field.
" 5+ years of product management, technical product management, technical program
management, or related experience owning technical products, platforms, or online
services.
" Experience owning product strategy, roadmap definition, and feature prioritization for
technical products or customer-facing systems.
" Experience working directly with engineering teams and contributing to technical trade-off
discussions related to architecture, APIs, data, scalability, reliability, security, or integration
design.
" Experience defining product requirements, success metrics, launch criteria, and postlaunch