Senior Audience Operations Manager

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

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. 

This role can be based in San Francisco, Mountain View, Omaha, Chicago or NYC.

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 Senior Audience Operations Manager who will unlock Marketing-led growth by targeting the right audiences with the right message and offer, at the right time.  

As Senior Audience Operations Manager, you will play a critical role in driving growth for the LinkedIn business. You’ll influence multiple steps of the 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.  This position reports to the Group Manager, Audience Operations. 

Responsibilities: 

• 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.
• Partner with internal teams to recommend, devise and implement processes to maximize efficiency. 
• 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.   
• Author and maintain logic for audience targeting variables and automate ETL pipelines in various languages such as SQL and Spark. 
• Execute audience targeting logic for acquisition and lifecycle campaigns using SQL, Spark and LinkedIn native tools and technologies 
• Set up A/B tests to measure incremental impact of marketing programs
• Improve campaign KPIs by collaborating on and applying targeting optimization techniques

Qualifications

Basic Qualifications: 

• Bachelor’s degree in Math, Computer Science, Economics, Analytics, Business, Engineering or other quantitative fields, OR equivalent experience 
• 5+ years of experience with SQL
• 4+ years of experience in marketing operations, analytics or insights

 Preferred Qualifications: 

• Experience with customer segmentation and campaign optimization for marketing use cases
• Growth mindset, curious, self-aware, and passionate about continuous improvement
• Strong attention to detail, and project management skills to focus on key outcomes amidst competing priorities and tight deadlines
• Experience with Trino and Git
• Experience with Basic command of Unix commands / shell scripting 
• Fluency in various database languages such as SQL, Spark and Python 
• 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-level management 
• Great collaboration skills to connect and problem solve with cross-functional teams, including marketing, product management, design, and data science teams
• Experience with Statistical analysis including knowledge of A/B testing and Reporting (eg: Tableau, PowerBI) 

Suggested Skills: 

• Project Management 
• Cross-functional collaboration
• Strategic Thinking
• Problem Solving

LinkedIn is committed to fair and equitable compensation practices.    

The pay range for this role is $121,000 to $188,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certi