Product Manager, Feed Relevance (AI)
Product Manager, Feed Relevance (AI)
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Job Description
This role can be based in Mountain View or San Francisco CA.
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.
LinkedIns 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 havent 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 LinkedIns 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
- 3 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 $126000 to $207000. 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 Information :
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
Employment Type
Full-time
