Audience Targeting Manager Jobs

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.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid or remote work options, meaning you can 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, or this role can be performed remotely in most locations in the country of employment.

There has never been a more important time for our platform to empower every member of the global workforce; wherever they are. Join the impact for professionals around the world: we’re looking for an exemplary Audience Targeting Manager who will unlock Marketing-led growth by targeting the right audiences with the right message and offer, at the right time.

As Audience Targeting Manager, you will play a critical role in driving growth for the Premium subscription business. You’ll influence multiple steps of the LinkedIn Premium member lifecycle through marketing channel touchpoints. You’ll collaborate with cross-functional stakeholders to ensure a consistent customer journey, and set up complex experiments to measure causal impact to key business metrics. You are detail oriented, and have demonstrated experience navigating ambiguity, driving clarity, and influencing strategy.

Responsibilities:

• Execute audience targeting logic for acquisition and lifecycle campaigns using SQL, Spark and LinkedIn native tools and technologies
• Author and maintain logic for audience targeting variables and automate ETL pipelines in various languages such as SQLand Spark.
• Set up A/B tests to measure incremental impact of marketing programs
• Improve campaign KPIs by collaborating on and applying targeting optimization techniques
• Partner with growth marketing, engineering, analytics, and data science teams to achieve and surpass business goals. Contribute to marketing’s growth strategy and quarterly prioritization decisions.
• Design system-first processes to scale and automate targeting and A/B experimentation, including defining and leading implementation of enhancements to our internal marketing targeting stack.  

Qualifications

Basic Qualifications:

• BA/BS Degree or equivalent experience
• 2+ years of experience with SQL
• 3+ years of experience targeting audiences for marketing use cases, both ad-hoc and automated; including data integration with CRM or marketing automation platforms 

Preferred Qualifications:

• Experience with Statistical analysis, Reporting (eg: Tableau) and Machine learning models is a plus
• Fluency in various database languages such as SQL, Spark and Python
• Growth mindset, curious, self-aware, and passionate about continuous improvement
• Proven ability to break down and diagnose issues, then identify and rapidly deploy solutions
• Great collaboration skills to connect and problem solve with a wide set of cross-functional teams, including marketing, product management, design, and data science teams
• Strong attention to detail, and project management skills to focus on key outcomes amidst competing priorities and tight deadlines
• Experience with Basic command of Unix commands / shell scripting
• Excellent communications skills; able to distill complex concepts into clear and concise language for senior-level management and various stakeholders
• Experience with Presto
• Proven aptitude for assimilating new technologies and processes

Suggested Skills:

• Project Management
• SQL
• Cross-functional collaboration

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $93,000 to $145,000. 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.

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.

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 [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
• 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 LinkedIn's 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.

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As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

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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.