AdTech Product Lead: Advertiser Experience & AI Solutions

Amazon Web Services (AWS)

New York (NY)

Sur place

USD 198 000 - 268 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Sign-on payments
RSUs
Health insurance
Life insurance options
EAP
Mental health support
Flexible spending accounts
Adoption and surrogacy reimbursement
401(k) matching
Paid time off
Parental leave

Résumé du poste

Amazon Web Services (AWS) is seeking a Principal Product Manager Technical to lead advertiser experiences for Sponsored Products and Brands’ off-Amazon offerings. You will advocate for advertisers, collaborate with cross-functional teams, translate insights into requirements, and drive roadmap decisions with Science and Engineering.

The role emphasizes an AdTech background, hypothesis development, experimental evaluation, and use of AI tools for research and prototyping, with a strong focus on

Qualifications

  • 2+ years of end-to-end product delivery experience.
  • 8+ years of technical product or program management experience.
  • Bachelor's degree.
  • experience with feature delivery.
  • roadmap strategy.
  • engineering leadership.
  • technical product management.

Responsabilités

  • Advocating for advertisers.
  • Partnering with cross-functional teams to understand needs.
  • Translating insights into product requirements.
  • Collaborating with Science and Engineering on roadmap and tradeoffs.
  • Delivering solutions with urgency.

Connaissances

AdTech experience
Advertiser-facing products
Data-driven decisions
AI tools for research
Hypothesis development

Formation

Bachelor's degree

Description du poste

Amazon Web Services (AWS) is seeking a Principal Product Manager Technical to lead advertiser experiences for Sponsored Products and Brands’ off-Amazon offerings. You will advocate for advertisers, collaborate with cross-functional teams, translate insights into requirements, and drive roadmap decisions with Science and Engineering.

The role emphasizes an AdTech background, hypothesis development, experimental evaluation, and use of AI tools for research and prototyping, with a strong focus on

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