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
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. This role can be based in either our San Francisco, Sunnyvale, Bellevue, Chicago, or New York offices.
The
Senior Manager, Data & AI Products will lead a high-performing team of data professionals while remaining hands-on in the technical delivery of next-generation GTM data and AI products for
LinkedIn Marketing Solutions.
In this role, you will drive the complete technical lifecycle, from initial prototyping to the deployment of scalable, automated systems. Success requires a unique blend of expertise in data science, analytics, and agentic AI, coupled with a strong product sense and the communication skills needed to influence cross-functional stakeholders. Your core mission is to architect and build the automated data solutions, agentic workflows, and AI models that will fundamentally transform GTM operations and drive measurable business ROI.
Responsibilities:
- Drive the design and end-to-end deployment of scalable data products, AI/ML models (e.g., customer health, propensity, and forecasting), and GenAI-powered agentic workflows, remaining hands-on in technical delivery.
- Define the technical roadmap and architecture for the GTM Data Products pillar, making key decisions on frameworks, tools, and MLOps practices.
- Mentor and develop a team of data scientists, analytics engineers and analysts, setting a high bar for technical rigor, code quality, and engineering best practices.
- Partner with GTM Operations & Sales leadership to identify key business opportunities, and recommend technical solutions to maximize ROI.
- Collaborate with Technology Teams, Product, Engineering, and Data Science partners to operationalize and scale solutions ensuring reliability and business impact.
- Translate highly complex technical concepts and model outputs into clear, concise, and actionable narratives for senior GTM and Operations leadership.
- Act as the subject matter expert in applying modern AI, LLMs, and ML techniques (e.g., RAG, Classification Models, Regression Models, etc.) to solve concrete GTM business problems and drive measurable business ROI in partnership with central Data Science and Engineering teams.
- Design and lead experimentation frameworks (e.g., A/B Testing) to measure the business impact of AI products, models, and workflows.
Qualifications
Basic Qualifications:
- 10+ years of experience in data science, data product management, analytics engineering or similar role.
- 3+ years of experience as a people manager.
- Experience in advertising/media and/or go-to-market.
- Experience in Python for data manipulation (e.g. Pandas, NumPy), analytics, and ML (e.g., Scikit-learn, TensorFlow, PyTorch).
- Experience architecting, building, and deploying machine learning models and/or automated data solutions into a production environment.
- Experience in SQL with large-scale data warehouses (e.g., Presto, Trino, Spark SQL) and using and developing reports, metrics, and dashboards.
- Experience with modern data stack and automation tools (e.g., Airflow, Databricks, dbt).
- BA/BS/MS degree in a quantitative field (e.g., Computer Science, Statistics, Operations Research, Engineering) OR equivalent practical work experience.
Preferred Requirements:
- Experience with sales planning and/or customer segmentation.
- A passion for AI coupled with a strong perspective on how to strategically apply machine learning to drive business value.
- Experience with MLOps principles and tools (e.g., MLflow, Kubeflow, SageMaker, Vertex AI) for model versioning, deployment, and monitoring.
- Experience with GenAI technologies and frameworks (e.g., LangChain, LlamaIndex, LLM APIs).
- Understanding of GTM financial and operational metrics (e.g., pipeline, ACV, margin, LTV, CAC, Customer Health).
- A self-directed, intellectually curious mindset with a proven ability to lead ambiguous, complex technical projects from 0 to 1.
- Proven ability to influence a technical roadmap and lead projects in a fast-moving environment.
Suggested Skills:
- Python
- SQL
- Data Science
- Machine Learning
- Building and Deploying Models
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $162,000 to $265,000. 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 https://careers.linkedin.com/benefits.
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 at accommodations@linkedin.com 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. 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 this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
