Product Manager, Email Content AI at LinkedIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jun, 26

Salary

207000.0

Posted On

25 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Vision, Strategy, Roadmap, AI, Personalization, Content Selection, Content Generation, Experimentation Frameworks, Data Analysis, User Stories, MVP Scoping, KPI Optimization, Go-To-Market Planning, Stakeholder Communication, Technical Investment Prioritization, OKR Development

Industry

Software Development

Description

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 will be based in Mountain View or San Francisco, CA. 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. We’re looking for an experienced Product Manager to lead Email Content AI at LinkedIn. This role will own the vision, strategy, and execution for how AI powers the content, personalization, and effectiveness of LinkedIn’s email retention ecosystem at a global scale. Emails are one of LinkedIn’s most important and far-reaching surfaces, helping millions of members achieve their JTBD on LinkedIn. In this high-impact role, you’ll define how AI helps deliver the right content to the right member at the right time; driving engagement, relevance, and long-term member value. You’ll operate as a full-stack product builder, owning everything from problem definition and roadmap through execution, launch, and iteration. You’ll work closely with engineering, data science, design, and cross-functional partners to build AI-powered systems that improve content selection, generation, ranking, and evaluation. You’ll also partner deeply with Marketing, Editorial, PMM, Legal, and Privacy teams to ensure solutions are effective, responsible, and aligned with LinkedIn’s values. This role plays a key part in LinkedIn’s Daily Active User growth and in its mission to create economic opportunity for every professional around the world; by helping members get more value from every email we send. Searching for your dream job? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. Responsibilities Own the product vision, strategy, and roadmap for AI-powered email content across LinkedIn’s global email ecosystem. Partner with engineering, data science, and design to define and ship scalable AI solutions, including personalization, content selection, generation, and experimentation frameworks. Build a deep understanding of member needs, lifecycle moments, and engagement signals through qualitative research, experimentation, and data analysis. Define clear problem statements, user stories, MVP scopes, and success metrics; measure and optimize impact against core business KPIs. Serve as the primary POC and subject matter expert for Email Content AI, collaborating across PM, PMM, Editorial, Marketing, Legal, Privacy, and Comms teams. Lead go-to-market planning for new AI-driven capabilities, ensuring clarity, alignment, and strong internal adoption. Communicate and evangelize product vision, strategy, and progress to stakeholders ranging from senior leadership to execution teams. Identify and prioritize technical investments required to support high-quality, responsible, and scalable AI systems. Develop and track OKRs for key initiatives, ensuring alignment with broader Growth and company objectives. Stay informed on advances in AI/ML, personalization, and content systems, translating emerging capabilities into practical product opportunities. Qualifications Basic Qualifications BS/BA Degree in a technology related field OR equivalent experience 2+ years of experience in product management or equivalent role Preferred Qualifications 3+ years of experience in product management or equivalent role Experience building or shipping AI/ML-powered products, particularly in personalization, content systems, or recommendation surfaces. Strong understanding of experimentation, metrics, and data-driven decision making at scale. Experience working with highly cross-functional teams across engineering, data science, design, and business stakeholders. Ability to translate complex technical concepts into clear product direction for technical and non-technical audiences. Experience operating in high-visibility, high-impact product areas. Familiarity with consumer engagement, lifecycle communication, or growth surfaces is a plus. MBA or advanced degree is a plus. Suggested Skills Consumer Product Experience Product Growth AI Ranking / Relevance LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $126,000 to $207,000. 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 [email protected] 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. Workplace Type: Hybrid Career Track & Grade: IC3/8 Department: Product

Responsibilities

The Product Manager will own the product vision, strategy, and roadmap for AI-powered email content across LinkedIn’s global email ecosystem, partnering with engineering and data science to ship scalable AI solutions. This involves defining problem statements, success metrics, and leading go-to-market planning for new AI-driven capabilities.