Senior Manager, Product Operations – Business Platform

Senior Manager, Product Operations – Business Platform

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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.

Job Description

This role will be based in San Francisco, Sunnyvale, New York, or Omaha depending on the candidate’s approved location for hire. The team and stakeholders will be primarily across the United States, as well as in Bangalore, India. The work location is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by business needs.

We are looking for a Senior Manager, Product Operations – Business Platform to scale, lead, and inspire a team of Business Platform Product Operations Managers. The team represents the voice of customers / members and customer support & success teams. Our Business Platform R&D team builds products across checkout, billing and payments, user and license management, help centers, live chat and Support AI Agents, and customer support and success tools. The role requires deep insights, user empathy, and influence to ensure a high quality product experience.

Responsibilities

Recruit, lead, and inspire a high‑performing team of Product Operations Managers through 1 : 1 mentorship

Develop and maintain a strong team culture of accountability, collaboration, trust, and results while leading the team through ambiguity and reprioritizations

Develop team vision, set team and individual OKRs and priorities, and develop / track metrics to measure progress and success across a broad scope of cross‑line business products

Lead organization‑wide, cross‑functional projects and initiatives with the team

Represent the Business Platform Product Operations team with cross‑functional stakeholders and in key leadership forums

Maintain strong domain knowledge and organization of the broad cross‑line business product areas in the team’s purview

Evolve and grow how the team measures, analyzes, and communicates user friction, and how the team strategically influences Product & Engineering

Occasional travel to other LinkedIn office locations

Basic Qualifications

BA / BS degree in economics, management, science, business, applied math, statistics, finance, analytics, or a related field or equivalent experience

6+ years of experience in Product Operations Management, Product Management, Customer Experience / Operations, or Management Consulting

4+ years of leading teams of direct reports with a range of skills, professional backgrounds, and tenure

Preferred Qualifications

Experience working at a technology and / or social media company in checkout, billing and payments, user and license management, help centers, live chat and Support AI Agents, and customer support and success tools

MBA degree or Master’s degree

Thrives in ambiguous environments and can operate independently while inspiring and organizing the team through the same

Strong verbal and written communication skills at the team level and the executive level, and with both Product / Engineering and Operations audiences

Experience adopting AI to make the team more effective and efficient

Strong results orientation and direct experience as an individual contributor utilizing data to identify critical trends, develop data narratives, and influence Product to prioritize recommendations

Experience in a role focused on improving member or customer experience (Voice of Customer / Member), especially through product or feature changes

Experience driving cross‑functional projects with multiple stakeholders

Experience gathering business insights and identifying trends from data, including combinations of data from multiple sources

Intermediate to advanced knowledge of data tools such as SQL, Tableau, CRM (Dynamics), Python, or advanced internal data visualization tools

Strong analytical and problem‑solving experience

Strong relationship and interpersonal skills

Experience building trust with and influencing cross‑functional teams

Suggested Skills

Coaching

Product Quality

Troubleshooting

SQL

Compensation

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $150,000 to $243,000. Actual compensation packages are based on several factors that are unique to each candidate, including skill set, depth of experience, certifications, and specific work location. The total compensation package may also include annual performance bonus, stock, benefits, and other incentive compensation plans. For more information, visit

LinkedIn Benefits .

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. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, contact accommodations@linkedin.com and describe the specific accommodation requested for a disability‑related limitation. A request for an accommodation will be responded to within three business days. Notes : 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.

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 .

Global Data Privacy Notice for Job Candidates

For transparency around how LinkedIn handles personal data of employees and job applicants, please follow

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