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Product Manager, Premium Outreach - job 1 of 4

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 can be based in Mountain View, Sunnyvale, or San Francisco.

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 are seeking a creative, data-driven Product Manager to lead the Premium Outreach team. In this role, you will be responsible for helping Premium members build, nurture, and leverage their professional networks for meaningful outcomes in their careers, via InMails and across the platform. You’ll be at the forefront of designing and implementing AI-powered experiences, from personalized message generation to profile optimization, job application assistance, and more. As part of LinkedIn’s Growth organization, you’ll move fast, run experiments, and iterate relentlessly to drive value for our members and our business. The role requires a member first, data oriented product manager that enjoys high velocity development and is excited about subscription businesses and monetization.

Responsibilities

  • Define and drive product strategy: Lead the product roadmap for Premium Outreach, focusing on high quality solutions that deliver measurable impact and delight members.
     

  • Own Premium’s GenAI initiatives: Serve as the champion for leveraging generative AI to enhance user workflows, from writing messages to optimizing how a member presents themselves.
     

  • Lead cross-functional teams: Partner with design, engineering, business operations, product marketing, data science, and other stakeholders to bring end-to-end solutions to market.
     

  • Experiment rapidly: Plan and execute iterative A/B tests; analyze outcomes to refine product features and accelerate learning.
     

  • Design intuitive experiences: Blend data-driven decision making with thoughtful UX design to create seamless, valuable user journeys that help members grow their networks.
     

  • Drive collaboration and alignment: Manage partnerships and stakeholder relationships across LinkedIn, not just within your own team, ensuring product initiatives align with broader company objectives.
     

  • Set and measure objectives: Establish clear metrics and key results, using data insights to continuously optimize and validate product direction.

Qualifications

Basic Qualifications

  • BA/BS Degree in a technology-related field OR equivalent practical experience.

  • 4+ years of experience in product management.

Preferred Qualifications

  • Generative AI experience: Proven background in AI/ML product development, including model evaluation, product quality assessment, and user-centric AI features.

  • UX and design focus: Passionate about building elegant, intuitive user experiences.

  • Cross-functional leadership: History of successful collaboration across diverse teams and stakeholders in larger organizations.

  • Experimentation mindset: Experience with rapid product iteration and high-velocity A/B testing.

  • Analytical acumen: Ability to derive insights from multiple data sources and translate them into actionable roadmaps.

Suggested Skills

  • Product Management

  • Generative AI / Machine Learning

  • Data Analysis and Experimentation

  • User Experience (UX) Design

  • Cross-Functional Collaboration

LinkedIn is committed to fair and equitable compensation practices.  

The pay range for this role is $123,000 to $201,000. 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.

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Average salary estimate

$162000 / YEARLY (est.)
min
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$123000K
$201000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Product Manager, Premium Outreach, LinkedIn

Are you ready to take the lead as a Product Manager for Premium Outreach at LinkedIn in the beautiful Mountain View, CA area? We're looking for a creative, data-driven individual who is excited about the potential of AI to transform professional networking experiences. At LinkedIn, our dynamic environment encourages you to make meaningful connections while optimizing your work-life balance through a hybrid model. As a part of the Premium Outreach team, you'll steer initiatives aimed at helping our premium members nurture their networks effectively through InMails and beyond. You’ll harness the power of generative AI to enhance user workflows—think personalized messaging and profile optimization. Your primary mission will be to define and drive an impactful product strategy that resonates with our members, all while collaborating with cross-functional teams including design, engineering, and marketing. Your approach will be agile and data-centric, with a focus on conducting rapid experiments to refine product features. You’ll measure objectives to continually optimize our offerings, ensuring they align with LinkedIn’s larger goals. If you’re someone with a strong background in product management, especially with experience in AI/ML, we want to hear from you!

Frequently Asked Questions (FAQs) for Product Manager, Premium Outreach Role at LinkedIn
What are the key responsibilities of the Product Manager, Premium Outreach at LinkedIn?

As a Product Manager for Premium Outreach at LinkedIn, you'll be responsible for defining the product strategy and roadmap, focusing on solutions that delight our members. Your tasks will include overseeing the generative AI initiatives to improve user workflows, collaborating with various teams for market solutions, conducting A/B testing for rapid iteration, and measuring product objectives with data-driven insights.

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What qualifications are required for the Product Manager position at LinkedIn?

To be considered for the Product Manager, Premium Outreach role at LinkedIn, candidates should hold a BA/BS Degree in a technology-related field or have equivalent practical experience, along with over 4 years in product management. Preferred qualifications include experience in generative AI, a strong focus on user experience, and proven abilities in cross-functional leadership and rapid experimentation.

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What skills are beneficial for the Product Manager, Premium Outreach at LinkedIn?

The ideal candidate will possess strong skills in product management, experience with AI and machine learning, data analysis, and user experience design. Additionally, successful cross-functional collaboration and a mindset geared toward experimentation and rapid iteration are essential to thrive in this role at LinkedIn.

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What is the working environment like for the Product Manager role at LinkedIn?

The working environment for the Product Manager, Premium Outreach position at LinkedIn is hybrid, allowing you to work both from home and from the office on designated days. This flexible approach centers around trust and is designed to optimize connectivity and cultural alignment within the company.

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What is the pay range for the Product Manager, Premium Outreach at LinkedIn?

The salary for the Product Manager, Premium Outreach position at LinkedIn ranges from $123,000 to $201,000. Actual compensation depends on various factors such as experience, skill set, and work location, and may also include bonuses and stock options as part of the total compensation package.

Join Rise to see the full answer
Common Interview Questions for Product Manager, Premium Outreach
Can you describe your experience with generative AI in product management?

Discuss specific projects where you leveraged generative AI, focusing on the impact this technology had on user experience and the iterations made based on data insights.

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How do you prioritize features in your product roadmap?

Explain your method for balancing customer needs, business goals, and technical feasibility when deciding which features to prioritize for development in your product roadmap.

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Tell us about a challenging project you managed and how you overcame the obstacles.

Share a specific example, detailing the challenges faced, the strategies employed to overcome them, and the successful outcomes resulting from your efforts.

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How do you approach cross-functional team collaboration?

Discuss your strategies for promoting effective teamwork across departments, emphasizing clear communication, alignment on objectives, and sharing data to drive decision-making.

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What metrics do you consider most important in measuring product success?

Identify key metrics you've used in previous roles to measure product success, explaining how these metrics informed your product decisions and overall strategy.

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Describe your process for rapid iteration and A/B testing.

Outline your approach to planning and executing A/B tests, including how you analyze results and apply insights to improve product features efficiently.

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How do you ensure that user feedback is integrated into product development?

Explain your methods for gathering user feedback, including surveys, interviews, and usability tests, and how you translate those insights into actionable product updates.

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What tools or platforms do you utilize for product management?

Mention specific tools you're proficient with, like JIRA or Trello, and describe how you’ve used them to enhance project tracking and team collaboration.

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How have you handled disagreements with stakeholders regarding product direction?

Provide an example of a disagreement you've encountered and how you resolved the conflict through open communication and data-driven rationale, ensuring alignment on the product vision.

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What inspires you about the opportunity to work at LinkedIn as a Product Manager?

Share your enthusiasm for LinkedIn's mission and values, linking them to your personal and professional aspirations, and how you envision contributing to the company's success as a Product Manager.

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Our mission is to create economic opportunity for every member of the global workforce and this vision connects our more than 16,000 employees in dozens of offices across five continents. It inspires us to invest in our talent, support career grow...

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DATE POSTED
April 21, 2025

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