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Product Manager, Premium Outreach - job 4 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
max
$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

Join LinkedIn as a Product Manager for Premium Outreach in the vibrant Mountain View area! In this role, you will play a pivotal part in helping our Premium members leverage their networks effectively, driving impactful outcomes in their professional journeys. You’ll work on cutting-edge AI-powered features, ranging from personalized messaging to profile enhancements, directly impacting user engagement and satisfaction. At LinkedIn, we foster a culture built on trust, care, and innovation, and we look forward to your contributions to our dynamic Growth organization. If you have a knack for data-driven decision-making and a passion for subscription businesses, this could be your perfect fit. You'll enjoy a flexible work environment while collaborating with cross-functional teams to deliver intuitive user experiences. With responsibilities that include defining product strategy and leading rapid experimentation, every day will bring new challenges and opportunities to learn. We believe in providing our employees with transformational opportunities for growth and career advancement as we work together to redefine how the world works. Come and be part of our mission to create powerful professional connections and help people succeed. If this sounds exciting to you, let’s explore this journey together!

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

As a Product Manager for Premium Outreach at LinkedIn, your primary responsibilities include defining and driving product strategy, leading the roadmap for Premium Outreach, owning generative AI initiatives, and collaborating with various teams to bring compelling user experiences to life. You will also be responsible for executing rapid A/B tests to drive product improvement and ensuring initiatives align with broader company objectives.

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What qualifications do I need to become a Product Manager for Premium Outreach at LinkedIn?

To qualify for the Product Manager role focused on Premium Outreach at LinkedIn, you should have a BA/BS degree in a technology-related field or equivalent practical experience, along with at least 4 years of experience in product management. A strong background in generative AI and UX design is preferred, as well as having demonstrated experience in cross-functional leadership and rapid product iteration.

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How does LinkedIn support the professional development of Product Managers?

LinkedIn is dedicated to the growth of its employees, including Product Managers. You will find numerous transformative opportunities for professional development, including training programs, mentorship, and a culture that encourages curiosity and innovation. You'll have the chance to work on exciting projects within a supportive framework that values collaboration and personal growth.

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What type of experience is beneficial for a Product Manager in the AI field at LinkedIn?

A Product Manager in the AI field at LinkedIn, especially in the context of Premium Outreach, should have substantial experience in AI/ML product development. This includes model evaluation, user-centric AI feature development, and being able to link AI initiatives to user workflows effectively. Analytical skills to glean insights from various data sources are critical to inform product direction and decisions.

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What is the working culture like for Product Managers at LinkedIn?

The working culture for Product Managers at LinkedIn is centered around trust, collaboration, and innovation. You’ll be working in a hybrid setup that allows for flexibility, encouraging a balance between in-office and remote work. LinkedIn is committed to creating an inclusive and supportive environment where every team member can thrive and contribute to impactful solutions.

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Common Interview Questions for Product Manager, Premium Outreach
Can you describe your experience with AI and how it relates to product management?

When addressing questions about your experience with AI, it's important to highlight any projects that involved AI or machine learning. Discuss specific examples where you implemented AI features, how you evaluated their success, and how you leveraged data to make informed product decisions. Show your understanding of AI's potential impact on user experience.

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How do you prioritize features on your product roadmap?

When asked about prioritization, convey your approach of using metrics, user feedback, and potential impact as guiding factors. Discuss tools or frameworks you use, like RICE or MoSCoW, to make data-driven decisions. Highlight how collaboration with cross-functional teams can enhance prioritization for the product roadmap.

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What experience do you have with rapid product iteration?

For questions on rapid product iteration, share specific instances where you facilitated A/B testing or iterative development cycles. Focus on how you analyzed user feedback and data insights to adapt the product effectively. Showing your willingness to embrace failure as part of the learning process can also resonate well.

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How do you ensure that your product decisions align with broader company objectives?

When discussing alignment with broader objectives, emphasize the importance of understanding the company's strategic goals. Talk about how you engage with stakeholders across departments to ensure that the product vision is consistent and how you use data to measure the impact of your initiatives on company goals.

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Can you give an example of a successful cross-functional collaboration?

In response to questions about cross-functional collaboration, provide a detailed example where you worked effectively with teams like engineering, marketing, or data science. Highlight the challenges faced, your approach to teamwork, and how the final outcome provided value to users and the business.

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How do you handle conflicting stakeholder priorities?

To answer questions about managing conflicting priorities, emphasize your communication and negotiation skills. Share how you prioritize user needs and overall product vision, while also working to find compromises that satisfy all stakeholders involved. Illustrate your effectiveness in mediating conflicts to achieve a coherent product direction.

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What tools or methodologies do you use for product management?

When discussing tools and methodologies for product management, mention your experience with frameworks like Agile or Scrum, and tools like Jira, Trello, or Asana. Explain how these tools help you manage tasks, track progress, and facilitate communication among team members, enhancing productivity and transparency.

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How do you gather user feedback and integrate it into your product development process?

For questions about user feedback, discuss your strategies for collecting feedback, such as surveys, user interviews, or analytics. Emphasize the importance of translating this feedback into actionable insights that inform product development cycles and enhance user experience.

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What do you consider when designing user journeys?

When questions about designing user journeys arise, reflect on the necessity of user-centric design. Key considerations include understanding user personas, mapping out pain points, and creating seamless paths that enhance engagement. Illustrate how you blend UX design with data insights to build intuitive journey flows.

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How do you measure success in a product management role?

In addressing how to measure success, explain the importance of defining clear metrics and key performance indicators (KPIs) at the outset of a project. Discuss how you use both qualitative and quantitative data to assess user satisfaction and product performance, ensuring that you continuously optimize to meet user needs.

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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 18, 2025

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