Principal Product Manager – Linkedin Audience Network – Lan
| Company | |
|---|---|
| Location | San Francisco, CA, USA, Sunnyvale, CA, USA |
| Salary | $173000 – $280000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Expert or higher |
Requirements
- BS degree in a technology-related field or equivalent experience
- 9+ years of experience in a product management or equivalent role
Responsibilities
- Drive the product roadmap across core LAN experiences, including ideation, prioritization, and execution across ad formats, targeting controls, optimization, and more.
- Design LAN-specific campaign management features that give B2B advertisers unique control over offsite targeting.
- Develop and scale new ad formats tailored for offsite environments, aligned to LinkedIn’s full-funnel solutions.
- Collaborate with AI and Engineering teams to build optimization models that deliver strong offsite performance while respecting member experience and privacy.
- Work closely with our Trust teams to ensure LAN remains a brand-safe, curated, and transparent network.
- Partner closely with Business Development, who own publisher relationships, API integrations, and third-party vendor partnerships, to align on product strategy, go-to-market plan, and ecosystem health.
- Ensure the value of LAN is clearly represented across LinkedIn’s advertising performance reporting, helping advertisers understand its contribution to full-funnel performance.
- Partner with Product Marketing and Go-To-Market teams to ensure LAN’s role in driving performance is clearly articulated in both internal strategy and external positioning.
- Mentor PMs and contribute to a strong product culture across the organization.
Preferred Qualifications
- Deep understanding of DSPs and buy-side platforms, including campaign optimization, bidding strategies, auction dynamics, and ROI measurement.
- Familiarity with programmatic advertising protocols and standards such as OpenRTB, ads.txt, sellers.json, and IAB Tech Lab guidelines.
- Demonstrated ability to build and scale performance-driven ad platforms in highly cross-functional environments.
- Strong technical fluency, especially working with AI/ML teams on predictive modeling and optimization.
- Proven collaboration with Trust, Privacy, or Policy functions to ensure platform integrity and brand safety.
- Excellent communication and stakeholder management skills, with the ability to operate seamlessly across product, engineering, go-to-market, and executive audiences.
- Passion for building privacy-first advertising experiences that drive B2B performance at scale while upholding LinkedIn’s standards of trust and professionalism.