Product Manager Network Growth AI
Product Manager Network Growth AI
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1 Vacancy
Job Description
This hybrid role can be based in Sunnyvale 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.
As a Product Manager on the Network Growth AI team you will be pivotal in driving strategy and for products that enhance LinkedIns core value: connecting professionals to economic opportunities. You will collaborate with crossfunctional teams to develop and implement strategies to help users grow and leverage their professional network. Expertise in AI UX design and user empathy along with strong analytical skills are essential.
Responsibilities
- Develop and lead AI product strategy to grow and enhance member connections.
- Collaborate crossfunctionally to create a comprehensive AI roadmap.
- Align product strategy with measurable objectives and member experiences.
- Prioritize new features and model improvements based on datadriven insights.
- Analyze competitive environment customer needs and product metrics to drive engagement.
- Communicate effectively with users and stakeholders.
- Make datadriven decisions to solve customer challenges using multiple data sources.
Qualifications :
Basic Qualifications
- BS/BA Degree in a technology related field OR equivalent experience
- 2 years of experience in product management or equivalent role
Preferred Qualifications
- 4 years of product management experience
- MS degree in a technologyrelated field
- Exceptional communication with both technical and nontechnical stakeholders.
- Strong systems thinking and logical reasoning.
- Innovative mindset with a willingness to challenge the status quo.
- Proven ability to develop cohesive user experiences.
- Expertise in AI and UX design.
- Prior experience with ranking and recommendation systems in social networks
- Experience shipping Machine Learning products and working with LLMs Proficiency in data analysis and experimental design.
- Excellent systems thinking and strategic reasoning.
- Strong collaboration and communication abilities.
- Eagerness to push boundaries and drive progress
Suggested Skills
- AI
- Ranking / Recommendation Systems
- Large Language Models (LLM)
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $123000 $201000. 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/benefits.
Additional Information :
Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: EEO Statement2020 Signed.pdf.
Please reference the following information for more information: https://www.eeoc/sites/default/files/202306/22088EEOCKnowYourRights6.12ScreenRdr.pdf and
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 disabilityrelated 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 nondisability 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 nondiscrimination provisions described at this link: https://lnkd/paytransparency.
Global 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: https://legal.linkedin/candidateportal.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
