Sr. Staff Technical Program Manager, LinkedIn Premium

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

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.

LinkedIn Premium operates as a line of business with end‑to‑end accountability for the premium member value — from leaning in on the free experience that seeds demand to the paid outcomes that drive revenue. UAM (Unified Acquisition & Management) is the acquisition backbone for this LOB, owning the full online subscription lifecycle (discovery, signup, retention, cancellation) and orchestrating extreme cross‑functional coordination to balance free value creation with clear, defensible paid value.

UAM is structurally different and runs five engineering tracks, shares 15+ backend services, and continuously aligns with Marketing, Strategic Finance, Flagship, LBP, and external partners to synchronize funnels, pricing, attribution, and product signals. As revenue targets rise, Premium needs a dedicated platform TPM embedded in UAM to enforce operational rigor, drive cross‑org execution, and scale AI‑powered process automation beyond what Engineering Managers and Directors can absorb alongside their core responsibilities.

Responsibilities:

• Lead AI‑ and automation‑driven reporting: health dashboards, and metric surfacing; optimize workflows to improve engineering productivity and decision quality.
• Platform scope, not feature scope: coordinate multi‑SKU Premium programs; sequence shared infrastructure (subs‑mt, chameleon‑mt, Commerce/LBP, voyager‑api); manage partner/Commerce dependencies to protect delivery capacity.
• Hands‑on technical depth across the UAM stack: read/author PRs, inspect service integrations, query data, instrument metrics and alerts, and partner with Staff+ engineers to validate design and automation choices.
• Executive representation: represent Premium/UAM in leadership and cross‑org forums; synthesize complex platform trade‑offs into crisp decision options; influence up and across with clear, data‑backed narratives.

Qualifications

Basic Qualifications:

• 8+ years of technical program management experience.
• 3+ years of technical program management experience in either infrastructure or platform organizations.
• B.S./B.A. in a technical field, or equivalent practical experience.

Preferred Qualifications:

• Experience managing programs across multiple engineering teams with shared services and infrastructure dependencies
• Demonstrated ability to work with AI/automation tools to improve engineering processes and operational visibility
• Experience in subscription, commerce, or marketplace platform environments
• Track record of driving operational rigor in fast-moving engineering orgs — structured cadences, data-driven reviews, measurable process improvements
• Strong cross-functional coordination skills — able to work effectively with Marketing, Finance, Product, and external partners
• Experience with quarterly planning at scale across multiple teams
• Experience with subscription business metrics (bookings, retention, survival rate, renewal rate)
• Familiarity with LinkedIn or similar large-scale consumer platform engineering
• Experience building automated dashboards and reports using AI/LLM tools

Suggested Skills:

• Technical Program Management
• Cross-functional team leadership
• Strategic Roadmaps
• Infrastructure
• ML/AI

Additional Information

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $166,000 to $271,000. 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.

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.

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• Documents in alternate formats or read aloud to you
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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.

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Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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