Staff Engineer: Ambient AI & Developer Platform

Amazon

San Francisco, Northern (CA, KY)

Hybrid

USD 193,000 - 262,000

Full time

3 days ago
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Job summary

Amazon’s Bee team seeks experienced full-stack engineers to own ambient AI platforms across wearables, apps, APIs and enterprise deployments. You’ll lead end-to-end ownership, collaborate with PMs, designers and hardware engineers, and shape how users interact with always-on intelligence.

You’ll focus on performance, privacy, and developer experience, scale from individual users to enterprises, and move fast with startup-like autonomy within Amazon's resources.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with at least one software programming language experience.
  • 5+ years of leading design or architecture of new and existing systems.
  • Experience as a mentor, tech lead or leading an engineering team

Responsibilities

  • Developer Experience: build the API, SDKs, docs and observability to empower developers and enable production-ready apps.
  • Accessibility & Impact: create access programs and tooling to make ambient intelligence usable for memory-challenged and accessibility-first users.
  • Enterprise AI Products: develop tools for enterprise teams to adopt ambient AI across workflows and improve adoption.
  • Growth: drive user acquisition, engagement, retention and monetization through data-driven strategies and technical implementations.
  • A day in the life: collaborate with product, design and hardware engineers; own outcomes; ship quickly with startup-like autonomy.

Skills

5+ years non-internship software dev
Mentor / tech lead
Team leadership

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon’s Bee team seeks experienced full-stack engineers to own ambient AI platforms across wearables, apps, APIs and enterprise deployments. You’ll lead end-to-end ownership, collaborate with PMs, designers and hardware engineers, and shape how users interact with always-on intelligence.

You’ll focus on performance, privacy, and developer experience, scale from individual users to enterprises, and move fast with startup-like autonomy within Amazon's resources.

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