Lead Product Manager - Ad Creative Intelligence
@ Yelp

Hybrid
€120,000
Hybrid
Full Time
Posted 13 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @yelp.com
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Job Details

Overview

Yelp engineering culture is driven by values emphasizing authenticity, innovation, and collaborative problem-solving. In this role, as the Lead Product Manager - Ad Creative Intelligence, you will leverage AI/ML to transform digital advertising by optimizing ad creative content, customization, and advertiser guidance.

Role and Responsibilities

  • Own product roadmap and drive vision and strategy.
  • Leverage machine learning and generative AI for creative optimization.
  • Collaborate with engineering, design, and analytics teams.
  • Monitor KPIs including CTR, CCR, and revenue.
  • Launch new ad placements and creative formats.
  • Develop AI-powered guidance tools for advertisers.

What It Takes To Succeed

Candidates should have extensive technical product management or marketing experience in ad tech. Experience in driving ML-driven initiatives, deep understanding of digital advertising, strong analytic capabilities, a collaborative mindset, and proactive risk management are essential.

What You'll Get

  • Full project responsibility from day one.
  • Competitive salary and comprehensive benefits.
  • Pension, stock purchase, and paid holidays.
  • Remote working expense reimbursements and caregiver support.
  • Private health insurance and flexible work hours.
  • Regular hackathons, learning groups, and digital events.

Key skills/competency

  • Product Management
  • AI/ML
  • AdTech
  • Digital Advertising
  • Machine Learning
  • Creative Optimization
  • Cross-Functional Leadership
  • Data Analysis
  • Strategy
  • Innovation
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How to Get Hired at Yelp

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor your experience to ML and ad-tech.
  • Research Yelp's Culture: Understand their values and innovative environment.
  • Highlight Leadership: Demonstrate cross-functional collaboration skills.
  • Prepare for Data Discussion: Be ready to discuss experiments and KPIs.

📝 Interview Preparation Advice

Technical Preparation

Review ML model deployment concepts.
Brush up on AI-driven product strategies.
Study digital ad tech platforms.
Prepare data-driven KPI analysis.

Behavioral Questions

Discuss leading cross-team projects.
Explain decision-making under pressure.
Describe conflict resolution examples.
Share experiences fostering team collaboration.

Frequently Asked Questions