Insights Program Manager AI Infrastructure

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. 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.

At LinkedIn we empower professionals worldwide to achieve more. Every day millions of people use our products to connect discover opportunities and gain valuable insights. As an Insights Program Manager youll play a key role in helping LinkedIn and our customers make smarter data-driven decisions by transforming complex data into actionable insights that drive business outcomes across our Talent Solutions organization.

This role sits at the unique intersection of LinkedIn product expertise proprietary data and go-to-market strategy. Youll combine technical program management analytical problem-solving and cross-functional leadership to develop scalable insights programs and solutions that influence decisions across product marketing sales and operations.

As an Insights Program Manager youll own the development and delivery of high-quality reliable insights translating LinkedIns rich datasets into strategic recommendations that create measurable impact. Youll also help advance automation and AI-driven capabilities leveraging tools such as Large Language Models prompt engineering and scalable data solutions to improve how insights are generated and delivered ultimately enhancing the value LinkedIn provides to customers.

Responsibilities 

• Data-Driven Insights Development 
  • Leverage LinkedIns 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. 
  • Integrate GenAI and LLM-based solutions (e.g. prompt engineering summarization and categorization) into insights pipelines for improved efficiency and scalability. 
• Collaboration and Alignment 
  • Partner with cross-functional teams including Sales Marketing and Data Science to refine messaging and enhance customer value delivery anchored in data. 
  • Act as a strategic advisor to stakeholders guiding the adoption of actionable AI-enabled insights and ensuring program alignment with go-to-market priorities. 
  • Establish strong stakeholder relationships serving as a technical and strategic advisor for internal and external partners on program strategy 
• Insights Strategy and Vision 
  • Define and execute the long-term vision and roadmap for your programs. 
  • 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 LinkedIns Talent business outcomes 
• Visualization and Communication 
  • 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. 
  • Contribute to storytelling and content strategy for high-visibility initiatives ensuring consistency with LinkedIns data narrative. 
• Data Quality and Governance 
  • Implement data quality checks to ensure accuracy consistency and integrity. 
  • Drive standardization and best practices for insights pipeline governance including version control (GitHub) and documentation. 
  • Champion responsible AI and data privacy practices in insights development.

Qualifications :

Basic Qualifications 

• Bachelors 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. 
• 3 years of experience with SQL with experience in optimizing queries for performance (Trino Spark SQL preferred) 
• 2 years of experience using Python (or equivalent scripting languages) to automate workflows run experimentation (e.g. A/B testing for campaigns) generate outputs for downstream applications (such as email and AI agents) or build scalable data processes. 

Preferred Qualifications 

• 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. 
• Proven ability to manage complex multi-stakeholder programs and influence without authority. 
• 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
• Program Management
• Business Alignment
• Collaboration
• Trust and Integrity

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $105000 to $170000.

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 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.

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No

Employment Type :

Full-time