Insights Program Manager - AI Infrastructure

Job Description 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, you'll 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. You'll 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, you'll own the development and delivery of high-quality, reliable insights, translating LinkedIn's rich datasets into strategic recommendations that create measurable impact. You'll 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 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. 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 LinkedIn’s 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 LinkedIn’s 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 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. 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 $105,000 to $170,000. 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 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: 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 Global Data Privacy Notice and Compliance Posters for Job Candidates 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: #J-18808-Ljbffr jobr.pro