LinkedIn

LinkedIn

Senior Manager- AI Search Analytics

Sunnyvale, CA, United States · Senior · Contract

Sponsorship not specified$138k-$225kDetected 116 days ago
GitData ScienceData VisualizationA/B TestingCommunicationCollaborationProblem Solving

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 169 green-card filings in this occupation, 99% were for a worker who already held the job.

Green-card follow-through: 88%

Of 120 labor certifications old enough to have been used, 15 expired without the employer filing the next step. Median time from filing to decision: 493 days.99% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Reported a layoff in this occupation

In a green-card filing decided 2026-06-17, this employer stated it had laid off workers in Software Developers (CA) during the preceding six months. 3 such filings on record.Describes the period before that filing, not necessarily today. Unlike WARN notices this is occupation-specific and federal.

Files H-1B transfers

233 transfer filings in the last year, covering 1907 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

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About the role

  • Join us to transform the way the world works.
  • 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.

Responsibilities

  • Define the measurement framework and success metrics for AI Search, delivering measurement recommendations to drive business decisions, enabling the Web Marketing team to assess performance and drive optimization through a consistent and trusted measurement foundation.
  • Drive alignment on KPIs, measurement standards, and reporting practices to ensure consistent performance evaluation and decision-making across teams.
  • Lead the development of new measurement approaches for AI search, including attribution, frameworks, casual measurement methodologies, referral classification, traffic quality assessment and business impact modeling where traditional analytics approaches are insufficient.
  • Partner with the Measurement Strategy team, Data Ops, Web Marketers, Martech, Data Science, and Engineering teams to evaluate emerging measurement technologies and support their integration into the broader analytics ecosystem.
  • Collaborate with cross-functional teams to develop approaches for assessing the incremental impact of new experiences and features across agentic journeys, applying advanced methodologies including incrementality testing, causal inference, MMM, and web experimentation frameworks.
  • Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

Requirements

  • BA/BS degree or equivalent work experience
  • 8+ years of experience in digital analytics, marketing science, or a related field

Nice to have

  • Experience measuring search, discovery, recommendation, conversational AI, or agentic user experiences.
  • Experience designing and interpreting incrementality tests, experimentation frameworks, causal inference methodologies, or media mix measurement models.
  • Strong analytical and storytelling skills and able to turn complex data into clear, actionable recommendations.
  • Experience with Adobe Analytics, Tableau or similar tools
  • Deep understanding of the digital and marketing measurement ecosystem, including incrementality, attribution, and media mix modeling.
  • Excellent collaboration and communication skills, with demonstrated success influencing at various levels.
  • Experience with GitHub or similar tool for version control and script collaboration
  • Experience designing and applying advanced measurement methodologies

Skills

  • Strategic Thinking
  • Problem Solving
  • Cross-functional collaboration
  • Analysis and insights
  • LinkedIn is committed to fair and equitable compensation practices.
  • This may be different in other locations due to differences in the cost of labor.
  • For more information, visit https://careers.linkedin.com/benefits
  • Equal Opportunity Statement
  • 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.
  • Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
  • Examples of reasonable accommodations include but are not limited to:

Compensation

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

Equal opportunity

  • 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.
  • 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 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.

Visa & Work Authorization

  • in, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class
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This listing is sourced directly from LinkedIn's careers page and normalized into a canonical job model.