Amazon
Principal Product Management - Tech, Amazon Kids
$180K–$243K
Seattle, WA · Principal · Full-time · Posted Oct 5, 2026
- Experience
- 7+ years in specified fields; 3+ years hands-on building and shipping AI/ML-powered products.
- Education
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience (preferred).
About the job
Leads product strategy and end-to-end development of AI-powered services that help families manage and personalize children’s digital experiences across Amazon devices.
What you'll do
- Set vision and strategy for Parental Controls, Personalization, and Parent's Assistant services; own their technical roadmap.
- Lead generative AI product development from ideation and architecture through launch and iteration, including model selection, prompt engineering, and evaluation.
- Translate family needs into safe, trustworthy products; align cross-functional teams and define success metrics and experimentation.
What they ask for
- 7+ years of product or program management, product marketing, business development, or technology experience.
- 3+ years of hands-on experience building and shipping AI/ML-powered products, with emphasis on generative AI.
- Experience delivering products end to end, owning roadmap strategy, and contributing to engineering technology decisions.
- Experience with personalization systems, customer-facing products at scale, and complex projects in a matrix environment; ability to write technical specifications and define system architecture.
Nice to have
- Experience building products in family, kids, or trust & safety; familiarity with responsible AI, content moderation, and child safety.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
Pay
179,900.00 - 243,400.00 USD annually (base salary)
Tools
AI/ML, generative AI, LLMs, foundation models, conversational AI, personalization systems, recommendation engines
AI focus
Build and ship generative AI-powered family services, including technical design, architecture, model selection, prompt engineering, evaluation, and responsible, safe customer experiences.
Model-written summary · the original posting is authoritative