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Company Description LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Job Description
This role is based in San Francisco or Sunnyvale
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.
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 world’s workforce in ways no other company can. We’re much more than a digital resume – we transform lives through innovative products and technology.
LinkedIn ranks as a highly trusted social network platform in the world. We are looking for a world-class Senior Product Manager to join our Product Management team to drive the success and market share of our LinkedIn Marketing Solutions (LMS) business by expanding our leading position in trust in the online advertising industry. This role will have full ownership and focus on leading the Advertiser Trust products space. This includes products such as AI-empowered brand safety, audience verification, etc. through LinkedIn proprietary data and technologies and 3rd party partner integrations. As part of this role, you will lead a 100-person engineering and cross-functional team to design, create, and launch products. Your primary focus will be to maintain the highest quality standards for Advertiser and Member Ad Trust on LinkedIn, enhance the LinkedIn member experience, and deliver exceptional value to our customers. This will involve close collaboration with our teams in the US and Bangalore.
Responsibilities:
- Manage the entirety of the essential business function “Advertiser Trust” with full product ownership, discretionary decision-making, and day-to-day authority by creating a compelling vision and strategy, aligning cross-functional team members and executives, and delivering the results for the LMS business.
- Fulfill management duties for product ideation, roadmapping, development, go-to-market, roadmap, and quality control across the entire Advertiser Trust product space, which forms the critical foundation for LinkedIn’s online advertising business (over $3B revenue per year).
- Define and manage product metrics, business goals, timelines, and key results to guide, prioritize, grow, and measure the success of the strategy, product initiatives, and releases for the LMS business.
- Lead a 100-person cross-functional team including engineering, AI, data science, product marketing, product design, operation, legal, trust & safety, and business development teams to ensure the success of the product development, deliveries, and launches in accordance with the strategies and goals that you establish.
Qualifications
Basic Qualifications:
- BS/BA Degree in a technology/engineering-related field OR equivalent experience
- 7+ years of experience in product management or equivalent role
- 4+ years of experience in mobile, social, advertising technology & ecosystem and how Advertiser Trust could drive advertiser experience, ROI, and member experience both in a B2B and global professional online community context (e.g. LinkedIn)
- 2+ years of experience in Ads Trust products, technologies, and industry, including brand safety, invalid traffic detection & prevention, viewability, audience verification, ad quality, ad transparency, and ad control, etc. in a B2B and global professional online community context (e.g. LinkedIn)
Preferred Qualifications:
- Sufficient technical literacy to both understand the underpinnings of products to make key decisions as well as effectively communicate with engineers and data scientists.
- Strong understanding of the Programmatic Advertising ecosystem. (Exchanges, SSP, DSP, DMP, Ad-servers, Ad networks, cross-device and cross-channel targeting & attribution & lift testing, cookies, identity, and privacy, etc.)
- Excellent communication and stakeholder management skills at the senior leadership level with the ability to interact with and understand technical subjects and their relevance to the LinkedIn business.
- Exceptional ability to manage and lead across highly skilled engineers, data scientists, designers and cross-functional teams. Comfortable with working with geographically distributed teams.
- Experience with a demonstrated product leadership and technical skills to lead software engineering teams and cross functional teams to plan, design, develop, and launch Big Data, AI & Machine Learning product initiatives.
Suggested Skills
- B2B Advertising
- Applied AI & ML
- Strong Communication
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $141,000 to $230,000. 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
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: https://lnkd.in/equalemploymentopportunity2017. Please reference the following information for more information: https://legal.linkedin.com/content/dam/legal/LinkedIn_EEO_Statement_2020.pdf. Please reference the following information for more information: https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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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 [email protected] 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
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- 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 LinkedIn’s 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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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.com/candidate-portal.
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.