Job Description

This role will be based in Mountain View, San Francisco, New York, or Bellevue. 

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.

LinkedIn’s vision is to create economic opportunity for every member of the global workforce. The pandemic has impacted every professional around the world in one way or another, which in turn has vastly accelerated engagement on our platform to a degree we haven’t seen before. We actively turn this engagement into opportunity, as it supercharges our hiring, marketing, selling, and learning marketplaces globally and reduces barriers to economic success. As a result, we are entering yet another explosive period of growth.       

This growth means we can further the meaningful impact we have on the lives of our 770M+ members. This includes helping someone find jobs/talent, build/nurture their network, give/get help, sell/buy, learn/teach, and so much more. We are helping people to start a business, grow their business, save their business, build their brand, be a mentor/advisor, or simply share information/knowledge to give back to the broader community.                                                                             

In order for us to capitalize on this period of growth and use it to create opportunity for others, we are looking for an AI Product Manager to work on the core ranking of the Feed. This includes how updates in the Feed are optimized for engaging conversations as well as how the Feed helps support other parts of the LinkedIn ecosystem.

The Feed AI team selects posts from your network and ranks them alongside ads and recommendations to create the Feed experience on LinkedIn’s home. The Feed is the place where you can have productive and professional conversations with people that you know about interests you care about.

Responsibilities

• Partner with PMs, data scientists, Al, applications, and-infrastructure engineers to lay out a comprehensive Al roadmap.
• Align product strategy and member experience with model objectives through measurable metrics.
• Prioritize and help to define new features and model improvements
• Understand and lead analyses of the competitive environment, customers and product metrics to determine the right set of features to drive engagement and usage on Linkedln
• Drive global product requirements definition, product planning and product design (including writing PRDs) of new features and enhancements
• Clearly communicate product and platform benefits to our users and internal stakeholders
• Make data-driven decisions on how best to solve customer challenges by pulling and analyzing data from multiple sources, including experiments

Qualifications

Basic Qualifications

• 2+ years of experience in product management or equivalent role
• BS/BA Degree in a technology-related field OR equivalent experience

Preferred Qualifications

• MS degree in a technology-related field
• 4+ years of experience in product management with AI/ML
• Prior experience with ranking and recommendation / personalization for large feeds
• Strong analytical skills and comfort making data-driven decisions
• Experience in Machine Learning and working with Generative AI
• Ability to collaborate and lead across multiple partner teams with strong systems thinking
• Ability to deep dive into technical details of ML systems with engineers, and metrics with the Data Science team
• Experience dealing with multi-sided marketplace

Suggested Skills

• Applied AI/ML
• Generative AI
• Feed Ranking

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $123,000 to $201,000.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.  

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.