Product Manager, Email Content AI

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. 

Were 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 LinkedIns email retention ecosystem at a global scale.

Emails are one of LinkedIns most important and far-reaching surfaces helping millions of members achieve their JTBD on this high-impact role youll define how AI helps deliver the right content to the right member at the right time; driving engagement relevance and long-term member value. 

Youll operate as a full-stack product builder owning everything from problem definition and roadmap through execution launch and iteration. Youll work closely with engineering data science design and cross-functional partners to build AI-powered systems that improve content selection generation ranking and evaluation. Youll also partner deeply with Marketing Editorial PMM Legal and Privacy teams to ensure solutions are effective responsible and aligned with LinkedIns values.  This role plays a key part in LinkedIns 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 LinkedIns 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 $126000 to $207000.  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.

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 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 LinkedIns 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: 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: Work :

No

Employment Type :

Full-time