Principle Product Manager -- Ads Marketplace Relevance and Optimization
Principle Product Manager -- Ads Marketplace Relevance and Optimization
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Job Description
This role is based in San Francisco or Sunnyvale or New York
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 was built to help professionals achieve more in their careers and every day millions of people use our products to make connections discover opportunities and gain insights. Our global reach means we get to make a direct impact on the worlds workforce in ways no other company can. Were much more than a digital resume we transform lives through innovative products and technology. At LinkedIn we strive to help our employees find passion and purpose. Join us in changing the way the world works.
We are looking for an adtech Product Manager to join our Product Management team to drive the success of our LinkedIn Marketing Solutions (LMS) business. This role is at the core of optimizing LinkedIns advertising marketplace for relevance and efficiency. You will drive the evolution of our ad delivery system--in a way that maximizes value for advertisers members and LinkedIn. Your work will directly impact marketplace economics by fostering trust improving transparency and ensuring optimal value delivery through intelligent relevance and allocation strategies.
In this role you would be a key member of the LMS product team which is responsible for delivering products and solutions that put the member experience first & foremost and deliver incredible value to our advertisers. This role will collaborate closely with engineering data sciences and other cross-functional teams to build a suite of products and features using leading edge machine learning and big data technologies that help our customers succeed in their marketing objectives. This role will lead the conception and development of cutting edge technologies and market differentiating customer features that will drive the next step of our evolution as a B2B marketplace.
Responsibilities:
Work with Product Engineering Business Development AI and Marketing to create and articulate a compelling vision strategy and roadmap for your assigned product areas. Get alignment from stakeholder teams and executives to translate strategy into actionable product milestones that deliver incremental value to our customers.
Synthesize market needs from interactions with customers partners sales and marketing teams into product requirements and roadmap
Define product metrics objectives and key results to help guide prioritize and measure the success of the strategy product initiatives and releases for the LMS business.
Work cross-functionally with engineering data sciences marketing legal and business development teams to build release promote and successfully grow features from launch to maturity.
Make recommendations about whether to build buy or partner for key capabilities required to deliver products to the market.
Analyze external ad tech landscape and emerging technologies. Leverage insights to identify opportunities and inform the development of cutting-edge differentiated solutions for our relevance and optimization challenges.
Qualifications :
Basic Qualifications:
BS degree in a technology-related field or equivalent experience.
9 years of experience in a product management or equivalent role
Preferred Qualifications:
MS or higher degree in a technology-related field
Excellent written and verbal communication skills with an ability to synthesize and simplify complex technical subjects for technical non-technical partner and executive audiences alike
Exceptional ability to lead cross-functional teams. Experience working with a set of highly skilled engineers data scientists and designers.
Able to thrive in a fast paced environment. Strong analytical skills and ability to execute complex product launches.
Passionate for building data driven products and experience in leveraging ML to increase impact of B2C or B2B products.
Experience building data platform or data-heavy machine learning products at scale
Experience B2B advertising mobile social or video problem spaces
Suggested Skills
Machine Learning Algorithms for Relevance and Optimizations
Scaled Marketplace Dynamics
Auction Design and Economics
Dynamic Pricing
Ads relevance and quality
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $185000 to $2990000. 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.
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- Documents in alternate formats or read aloud to you
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- 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.
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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
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No
Employment Type :
Full-time
Employment Type
Full-time
