Product Manager, Ads Agent

San Jose, US
Posted 1 month ago

About this role

Team Overview:

The team builds the [REDACTED] AI Ad Agent by leveraging AI capabilities to help advertisers run ads with greater ease, confidence, and effectiveness — reducing cognitive, decision, and execution costs across the advertising journey, and eventually driving better platform outcomes

Responsibilities:

  • Lead product strategy and development for [REDACTED] AI Ad Agent, building capabilities across ad creation & optimization, issue diagnosis, and marketing decision guidance
  • Design AI-powered product experiences that integrate data, models, and advertising workflows
  • Deeply understand advertiser pain points across the advertising journey and translate them into AI-driven solutions
  • Collaborate closely with engineering, ML, data science, and operations teams to launch and iterate AI Agent capabilities
  • Define evaluation frameworks and success metrics to continuously improve advertiser value and business impact

Minimum Qualifications:

  • 3+ years of product or related experience; experience in advertising products, search/recommendation systems, AI products, or AI evaluation is a plus. We are not limited to traditional product backgrounds and welcome candidates with hands-on experience in building AI products or conducting AI experiments.
  • Strong interest in AI product paradigms and agent-based systems, with an AI-native mindset and the ability to leverage AI technologies to rapidly prototype, build, and iterate product solutions.
  • Good understanding of advertising workflows, advertiser needs, or marketing decision-making

Preferred Qualifications:

  • Strong analytical and problem-structuring skills with the ability to drive complex cross-functional projects
  • Excellent communication and collaboration skills across engineering, ML, and business teams

Recommended Skills for this Position

AI UX Design
Human-AI Interaction Design
UX Strategy
Cross-Functional Collaboration
Rapid Prototyping
Iterative Design
Design Metrics and KPIs
Data-Driven Design
User-Centered Design
Customer Experience (CX) Design
Stakeholder Communication and Influence

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