Principal Product Manager - Applied ML
@ Yelp

Hybrid
$243,000
Hybrid
Full Time
Posted 14 hours ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXX******* @yelp.com
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Job Details

Overview

We are looking for a seasoned Principal Product Manager to join the Applied Machine Learning Product team at Yelp. This team works horizontally with stakeholders to accelerate AI/ML-driven outcomes across the company.

Role Responsibilities

In this role, you will:

  • Understand problems from Product, Engineering, and other teams and identify ML possibilities.
  • Drive outcomes through direct initiatives and advising other product managers.
  • Own a horizontal ML problem space, scope opportunities, and ensure cross-team adoption.
  • Collaborate with ML PMs to shape a cohesive roadmap.

What It Takes To Succeed

The ideal candidate will have:

  • Past experience building ML applications and comfort in ambiguous problem spaces.
  • Strong generalist product management skills including execution, design thinking, problem discovery, and analytics.
  • Ability to communicate with C-Suite leadership and work in a matrixed organization.
  • 8+ years of product management experience.

Compensation & Benefits

Compensation ranges from $202,000 to $243,000 annually, with the possibility of bonuses, restricted stock units, and benefits. This opportunity is fully remote across Canada.

Our Culture & Diversity

At Yelp, diversity is celebrated and we welcome candidates regardless of background. We are committed to equal opportunity and providing reasonable accommodations.

Key skills/competency

Principal Product Manager - Applied ML, ML applications, product management, AI/ML, stakeholder collaboration, roadmap planning, design thinking, strategic communication, ambiguity handling, executive communication

How to Get Hired at Yelp

🎯 Tips for Getting Hired

  • Customize your resume: Highlight ML and product management skills.
  • Showcase your achievements: Detail impactful ML projects.
  • Research Yelp: Study their culture, mission, and news.
  • Prepare for interviews: Practice strategic and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review ML algorithms and architecture basics.
Familiarize with LLM and user personalization tech.
Study data analytics and model evaluation methods.
Refresh product lifecycle and agile methodology.

Behavioral Questions

Describe handling ambiguous project challenges.
Explain cross-functional collaboration experience.
Demonstrate executive-level communication stories.
Share experiences managing multiple priorities.

Frequently Asked Questions