Principal Product Manager, Applied ML
Yelp
Job Overview
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Job Description
Summary
We are looking for a seasoned Principal Product Manager, Applied ML to join the Applied Machine Learning Product team at Yelp. This team works horizontally with a broad set of stakeholders and has an ambitious charter to accelerate AI/ML-driven outcomes across the company. In this role, you will operate across a range of vertical problem spaces, deeply understand priorities for these areas, identify the right opportunities for the introduction of AI/ML, and drive product initiatives through the life cycle.
Given the cross-team nature of the role, you will drive outcomes through a combination of directly owned initiatives as well as collaborating and advising on active ML initiatives owned by other Product Managers. You will also have the opportunity to lead adoption of critical ML applications and technologies across the company (e.g., large language models, user personalization, intent understanding), and consequently have a deep impact on the consumer and business owner experience. A successful PM in this role is able to be strategic and clear-headed about what investments to make. You can seamlessly wear multiple hats, handle a range of contexts & problem spaces, build trust with stakeholders, and drive initiatives forward in a matrixed org structure. You are also comfortable working on 0-1 problem spaces and enjoy the process of turning ambiguous opportunities into well-defined product investments.
Past experience working on ML applications is required. That said, we are looking for candidates who are strong generalist PMs, technical, and are able to comfortably operate across a variety of problem spaces.
This opportunity is fully remote and does not require you to be located in any particular area in Canada. We welcome applicants from throughout Canada. We’d love to have you apply, even if you don’t feel you meet every single requirement in this posting. At Yelp, we’re looking for great people, not just those who simply check off all the boxes.
What You'll Do
- Understand problems being solved by leaders from Product, Engineering, and other groups within the company and identify where ML can help accelerate outcomes
- Drive product outcomes through a combination of direct initiative, ownership, and influencing and advising on the roadmap of other product teams
- Own a horizontal ML problem space (e.g., personalization), scope opportunity and identify ML capability to build; ensure adoption of these capabilities across multiple vertical teams
- Collaborate with other ML PMs on the team to shape the roadmap for their areas in alignment with your charter
What It Takes To Succeed
- Past experience with building ML applications.
- Comfortable navigating ambiguity, able to operate as a strong generalist across multiple problem spaces, and excited to turn ambiguous opportunities into product investments.
- Thrive and excel at building trust with a wide set of product partners.
- Strong foundational product skills—including product sense, execution, design thinking, problem discovery, and analytics— with the ability to apply your understanding of ML to drive impactful product outcomes.
- Strong executive communication skills. This role will involve directly communicating with C-Suite leadership. You can get into the weeds to understand complex details, then distill that information for executive audiences and help them make informed decisions.
- Comfort with both product strategy and operational execution.
- 8+ years of product management experience.
What You'll Get
Compensation range is $202,000-243,000 annually. Depending on your role and level, you may also be offered a bonus, restricted stock units, and benefits.This opportunity has the option to be fully remote in all locations across Canada.
Key skills/competency
- Machine Learning (ML) Applications
- Product Management
- AI/ML Strategy
- Cross-functional Collaboration
- Stakeholder Management
- Roadmap Development
- Executive Communication
- Product Sense
- Problem Discovery
- Operational Execution
How to Get Hired at Yelp
- Research Yelp's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for ML roles: Highlight past experience building and deploying machine learning applications and showcasing quantifiable impact.
- Showcase cross-functional leadership: Emphasize your ability to build trust with diverse stakeholders and drive outcomes in matrixed organizations.
- Prepare for strategic and executive communication: Practice distilling complex ML concepts into clear, concise insights for C-Suite leadership.
- Demonstrate product strategy and execution: Be ready to discuss your experience in 0-1 problem spaces, from ambiguous idea to successful product launch.
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