Audience Operations Senior Manager II
Audience Operations Senior Manager II
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Job Description
This role can be based in San Francisco Sunnyvale Mountain View or NYC.
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 Audience Operations Senior Manager II you will play a critical role in driving growth for the LinkedIn business. Youll collaborate with many crossfunctional stakeholders investing time to communicate and drive positive change across the organization. You are detailoriented and have demonstrated experience with campaign optimization digital marketing change management audience segmentation and targeting navigating ambiguity driving clarity and delivering strategy. This position reports to the Director of Marketing Audience & Data Operations.
Responsibilities:
- Partner with Data Science and Marketing Technology teams to contribute to their roadmaps and the development of models and solutions
- Devise and implement processes to maximize team efficiency
- Lead change management both within and outside the team for new initiatives
- Own roadmaps and operations of large innovative programs for the organization
- Recommend and execute strategic initiatives for the Audience Operations Team
Qualifications :
Basic Qualifications:
- BA/BS Degree in mathematics engineering statistics or equivalent work experience
- 8 years of experience in marketing/analytics roles
- 5 years of experience with SQL/Hadoop/Python
Preferred Qualifications:
- Growth mindset curious selfaware and passionate about continuous improvement
- Strong attention to detail and project management skills to focus on key outcomes amidst competing priorities and tight deadlines
- Understanding of the fundamentals of GAI and LLMs and its applications for Marketing organizations and teams
- Experience with Trino
- Experience with Basic command of Unix commands/shell scripting
- Proven aptitude for assimilating new technologies and processes
- Proven ability to break down and diagnose issues then identify and rapidly deploy solutions
- Excellent communications skills; able to distill complex concepts into clear and concise language for senior and executivelevel management and various stakeholders
- Great collaboration skills to connect and problem solve with a wide set of crossfunctional teams including marketing product management design and data science teams
- Experience with adhoc and automated scripts including data integration with CRM or marketing automation platforms
- Experience with Statistical analysis reporting (eg Tableau) AI and Machine learning models is a plus
Suggested Skills:
- Project Management
- Stakeholder Management
- Crossfunctional collaboration
- Leadership
- Influencing for Impact
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $144000 to $224000. 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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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: 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 :
Fulltime
Employment Type
Full-time
