LinkedIn

LinkedIn

Insights Program Manager - AI Infrastructure

San Francisco, CA, United States · Mid · Contract

Sponsorship not specified$105k-$170kDetected 116 days ago
PythonGitSQLSparkAirflowData AnalysisData EngineeringData ScienceData VisualizationLLMsRAGAgentic AIStatisticsA/B TestingContent MarketingLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). 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

  • This role will be based in San Francisco, Sunnyvale, New York City, 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.

Responsibilities

  • Leverage LinkedIn's proprietary datasets to design and deliver impactful, scalable insights that align with product and marketing strategies addressing customer pain points and value propositions.
  • Write, review, and optimize code (SQL, Python, Spark SQL) to extract, process, and analyze data.
  • Oversee and maintain automated data pipelines and multiproduct workflows using tools such as Apache Airflow, HDFS, and internal platforms.
  • Partner with cross-functional teams, including Sales, Marketing, and Data Science, to refine messaging and enhance customer value delivery anchored in data.
  • Establish strong stakeholder relationships, serving as a technical and strategic advisor for internal and external partners on program strategy
  • Identify gaps in existing tools and GTM motions, prioritize opportunities, and drive alignment on strategic initiatives.
  • Own end-to-end delivery of cross-functional programs such as campaign experimentation, actionable insights for driving product adoption, and thought leadership, balancing business goals with data and technical feasibility.
  • Measure the effectiveness of Insights driven interventions across our customer and field partner touchpoints and its impact on LinkedIn's Talent business outcomes
  • Develop compelling visualizations and narratives using Python, Tableau, or equivalent tools to communicate insights, synthesizing technical findings into clear business terms for executive and non-technical audiences to drive clarity and alignment.
  • Implement data quality checks to ensure accuracy, consistency, and integrity.

Requirements

  • Bachelor's Degree in Mathematics, Marketing, Statistics, Economics, Engineering, or a related quantitative/technical field
  • 3+ years of experience in data analysis, experimentation, or technical program management involving the design of data pipelines and insights that drive customer and product adoption.

Nice to have

  • BA/BS in Statistics, Economics, Data Science, Computer Science, or a related quantitative field.
  • Experience with RAG (retrieval augmented generation) models, or related AI or automation programs (e.g., LLM prompt design, model evaluation, or insights pipeline automation).
  • Experience tying product or marketing insights to measurable business outcomes.
  • Strong business acumen with a passion for technology, big data, and artificial intelligence.
  • Excellent problem-solving, leadership, and communication skills.
  • Proven ability to communicate with both technical and non-technical audiences to ensure alignment and engagement.
  • Suggested Skills
  • Technical Expertise

Skills

  • Join us to transform the way the world works.
  • Every day, millions of people use our products to connect, discover opportunities, and gain valuable insights.

Compensation

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

Benefits

  • Insights Strategy and Vision
  • Define and execute the long-term vision and roadmap for your programs.

Company info

  • At LinkedIn, we empower professionals worldwide to achieve more.
  • Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer.

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.
  • 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.

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.