Applied Science Manager, Conversational AI Ads

Amazon

Palo Alto (CA)

On-site

USD 184,000 - 249,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking an Applied Science Manager to lead the Amazon Sponsored Agent (ASA) team within Sponsored Products and Brands. You will oversee a multi-disciplinary team of scientists and engineers to build and scale AI-native ad formats across conversational surfaces.

You will own the science roadmap for contextual ads, conversation understanding, and commercial insights, driving research that monetizes AI chat experiences and expands Amazon's advertising reach.

Qualifications

  • 4+ years of applied research experience.
  • 3+ years in management of scientists or ML engineers.
  • 3+ years building ML models for business applications.
  • PhD, or Master's degree and 6+ years of applied research experience.
  • Knowledge of ML, NLP, Information Retrieval and Analytics.
  • Experience programming in Java, C++, Python or related language.

Responsibilities

  • Lead the ASA team within SPB to design and scale conversational advertising.
  • Own the science roadmap for contextual ad serving, conversation understanding, and commercial insights generation.
  • Manage and grow a science team, set research direction, and influence product strategy.
  • Collaborate with engineering, product, and business teams to translate research into measurable business impact.

Skills

Applied research
People/teams management
ML models for business
ML/NLP/IR/Analytics
Programming: Java/C++/Python

Education

PhD
Master's + 6+ years applied research

Job description

Amazon is seeking an Applied Science Manager to lead the Amazon Sponsored Agent (ASA) team within Sponsored Products and Brands. You will oversee a multi-disciplinary team of scientists and engineers to build and scale AI-native ad formats across conversational surfaces.

You will own the science roadmap for contextual ads, conversation understanding, and commercial insights, driving research that monetizes AI chat experiences and expands Amazon's advertising reach.

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