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Senior Performance Marketing Strategist

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 will be based in San Francisco, Sunnyvale/Mountain View,  New York, or Chicago.

 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 for this role is hybrid, meaning it will be performed both from home and at a LinkedIn office on select days, as determined by the team's business needs. 

The Channel Strategy and Operations (CSO) team at LinkedIn is a central function within LinkedIn’s marketing department, working horizontally across all lines of business globally. We sit within the larger Growth, Performance, and Operations (GPO) org, and are responsible for LinkedIn’s extensive global Paid Media budget. The team is responsible for developing strategies, content, and partnerships that enable us to drive both short and long-term value for the business.

The Performance Marketing Strategist will be an integral member of the Innovation Labs team inside CSO. This scope is centered around a performance marketer skillset that can leverage signals to guide how we deliver the right ad to the right audience, on the right platform, at the right time, leveraging connected data across both B2B and B2C business lines and business models. Core to this role is understanding and defining how signals translate into automation into audiences. You will partner across LinkedIn’s business units to drive strategy for our data pipelines and conversion APIs (CAPIs). A key focus will be guiding the design of our bidding automation strategy and driving continuous optimization of operational processes. This role will work closely across global business units, marketing partners, and agencies as part of the broader integrated media approach. This position brings thought leadership and innovation to our media buying strategy, helping elevate performance and impact.


Responsibilities:

  • Define a strategy for LinkedIn’s marketing data signal pipelines. Example: Leading the strategy for value-based bidding across our search ecosystem, including the data signals and pipelines needed across conversions, LTV to drive outcomes
  • Advancing buying and decisioning on LinkedIn’s platform by building a strategy to manage frequency and overlap on 3P platforms 
  • Build a framework for how to execute buying via an audience-first approach
  • Drive test framework for optimization points across the purchase funnel to drive optimal KPI return
  • Partner closely with our MarTech Tracking Technology Team to effectively deploy CAPI and other data signals. This person will explain and understand which signals we should use for which parts of the marketing journey, including which data signals to pass back to LinkedIn 
  • Understanding of AI and how AI marketing products like PMAX, AI Max, and Advantage+ operate, and come with a POV on how to deploy these tools to improve marketing efficiency and performance
  • Managing search advancement efforts, including coordination across SEO/SEM in the future state. Lead the development of best-in-class paid search strategies across business units (B2B, B2C, and App Marketing) to support brand and performance-based goals (ROI/CPL/CPA/CPI) 
  • Proactively drive measurement and automation projects with performance insights and data science partners while building a testing and optimization-driven culture across teams
  • Set best practices, create playbooks, monitor industry trends, share thought leadership, and foster learning across teams
  • Drive creativity and innovation by adopting new ad products, onboarding 3rd party vendors, and partnering with internal engineers to build automation tools 
  • Oversee paid test planning and execution while also providing input on resourcing across our agency and internal staffing relationships
  • Optimize test workflow processes for campaign planning, creative, audience targeting, and implementation
  • Build and deploy a test graduation framework to ensure learnings scale to business-as-usual programs

Qualifications

Basic Qualifications:

  • BA/BS degree in Digital Marketing, Business, Economics or related field, or equivalent experience. 
  • 7+ years of paid media marketing experience 

Preferred Qualifications:

  • Hands-on experience leading strategy for value-based bidding, Conversion APIs (CAPIs), pixels/tags 
  • Deep understanding of conversion signal execution with an emphasis on paid search
  • Experience managing 8-figure multi-million dollar budget campaigns across Google, Bing, and other search engines
  • Able to maintain strategic focus, solving for the enterprise while being able to prioritize among many competing demands 
  • Advanced understanding of performance marketing-based analytics, attribution, metrics, and testing frameworks
  • Experience collaborating effectively with internal and external partners, peers, agencies, and vendors to drive great work
  • Comfortable working in an experimental and extremely fast-paced environment within a complex, matrixed organization
  • Strong and clear communication and presentation skills to audiences at all levels, including executive leadership (able to clearly articulate complex dependencies, solutions,s and digital marketing strategies).
     

Suggested Skills:

 

  • Performance Marketing
  • Testing & Experimentation Frameworks
  • Innovation & Curiosity
  • Lifetime value (LTV) / incremental LTV
  • Value‑based bidding (VBB)

 

LinkedIn is committed to fair and equitable compensation practices.   

 The pay range for this role is $125,000 to $195,000. 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 

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.

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.

Pay Transparency Policy Statement ​

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

Global 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: https://legal.linkedin.com/candidate-portal.

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Average salary estimate

$160000 / YEARLY (est.)
min
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$125000K
$195000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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Our mission is to create economic opportunity for every member of the global workforce and this vision connects our more than 16,000 employees in dozens of offices across five continents. It inspires us to invest in our talent, support career grow...

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Full-time, hybrid
DATE POSTED
November 1, 2025
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