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LinkedIn

Insights Program Manager

Hybrid

San francisco, United states

Junior

Full Time

05-03-2026

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Skills

Leadership Python Go Tableau Data Analysis SQL Data Visualization Stakeholder Management Product Management Decision-making Sales Research Experimental methods Organization Marketing Analytics Data Science Spark PowerBI Mathematics NLP

Job Specifications

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 can be based in either our Sunnyvale, San Francisco, Carpinteria, Bellevue, New York, Chicago, Atlanta, Omaha, or Washington D.C. offices.

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.

LinkedIn’s Go-To-Market Enablement (GTME) Insights & Analytics team builds the measurement infrastructure and data products that help LinkedIn’s global business organization understand what’s working and why. We work across skills, customer sentiment and topic signals drawn from sales conversations, learning engagement data, and other internal enterprise data. We use AI as a core part of how that work gets done — including building and deploying analytics agents that scale insight delivery at speed.

We are looking for an Insights Program Manager to lead time-sensitive research sprints and innovation projects, design and deploy AI-powered data products that scale our output, and own the measurement framework for high-visibility enablement programs. You'll also partner with LOB analytics teams to extend analytical depth on high-priority initiatives.

Responsibilities

Special Projects & Innovation

Lead time-sensitive research sprints and high-priority analyses that inform strategic decisions across the GTME organization — including investigations into seller behavior patterns, customer topic trends, and learning engagement signals
Identify and pilot new tools and AI-powered approaches that improve how the team generates and delivers insight
Help frame emerging analytical questions for senior leadership, structuring approaches and delivering clear, decision-ready findings under tight timelines

Data Product Management & Development

Design, build, and deploy AI-powered analytics agents and automated insight pipelines that scale the team’s output across the organization — including LLM-based tooling
Translate cross-functional partner and sales user needs into product requirements; manage a backlog and roadmap and track success over time

Enablement Strategy & Measurement

Own the learning analytics framework for high-visibility enablement programs — defining success metrics, managing intake, and tracking impact across cohorts and geographies
Partner with LOB analytics business partners on high-priority initiatives, contributing analytical depth without owning the full stakeholder relationship
Communicate findings clearly to both technical and non-technical audiences in ways that support confident decision-making

Qualifications

Basic Qualifications

Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or related) or equivalent experience
3+ years of experience in analytics, data science, or a related quantitative role
3+ years of hands-on experience with SQL for querying and transforming large datasets
Experience designing, building, or deploying AI-powered workflows, analytics agents, or LLM-based tooling
Experience using Python or Spark for data analysis or automation
Experience using Tableau or PowerBI for data visualization
Experience presenting analytical findings to business stakeholders

Preferred Qualifications

Experience with causal inference or quasi-experimental methods for program impact measurement
Experience with NLP (e.g., topic modeling, sentiment analysis, entity recognition)
Experience in learning analytics, sales analytics, marketing analytics, or B2B measurement contexts
Experience managing product backlogs or roadmaps
Strong stakeholder management skills and ability to influence without authority
Comfort managing ambiguous, high-priority projects with competing demands

Suggested Skills

SQL & Python
Data Product Management
Learning Analytics

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $105,000 to $170,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may al

About the Company

Founded in 2003, LinkedIn connects the world's professionals to make them more productive and successful. With more than 1 billion members worldwide, including executives from every Fortune 500 company, LinkedIn is the world's largest professional network. The company has a diversified business model with revenue coming from Talent Solutions, Marketing Solutions, Sales Solutions and Premium Subscriptions products. Headquartered in Silicon Valley, LinkedIn has offices across the globe.. Know more