Principal Product Manager - Trust at LinkedIn

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Trust, Safety, Integrity, Fraud Prevention, Platform-level Safety, Moderation, Abuse-prevention Solutions, AI/ML Systems, Multi-year Strategies, Cross-organizational Initiatives, Policy Navigation, Technical Constraints, Product Management Craft, Content Integrity, Synthetic Media, Adversarial Machine Learning

Industry

Software Development

Description

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 will be based in Bangalore, India. 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. Serving more than 1 Billion members worldwide, the Trust team’s mission is to create safe, authentic, and transparent experiences so individuals and organizations can be productive and successful. As a Principal Product Manager for Content Abuse Prevention, you will be a visionary leader responsible for E2E execution and the long term strategy of our global detection systems and safety frameworks. You won't just manage a roadmap; you will help define and reshape the North Star for how LinkedIn protects the integrity of content across our entire ecosystem. This is a high-leverage, high-visibility role requiring the ability to navigate complex geopolitical landscapes, emerging AI threats, and large-scale infrastructure challenges. You will serve as a lead orchestrator across AI Research, Data Science, Policy, Legal, and Global Operations to ensure LinkedIn remains the most trusted professional platform in the world. The ideal candidate for this role: Has Trust, Safety, Integrity or Fraud Prevention expertise, with a track record of building platform-level safety, moderation, or abuse-prevention solutions. Has experience leading products built on AI/ML systems from the ground up. Can drive multi-year, high-impact strategies, ensuring measurable improvements to developer efficiency and defense agility Operates with autonomy and influence, leading large-scale, cross-organizational initiatives and has a track record of influencing organizational change. Excels at navigating complex cross-org dynamics, balancing business, policy, and technical constraints to ensure safety at scale. Helps us raise the bar for the Product Management craft at LinkedIn by mentoring senior PMs and fostering a culture of product excellence and member-first thinking. This is an opportunity to lead a critical area of Trust, shaping the future of content integrity, anticipating emerging abuse vectors, including synthetic media and other sophisticated attacks. Core Responsibilities include leading Vision and Strategy, driving strong execution with engineering, Data science, Design and key stakeholders, and ensuring product and operational excellence of the charter at all times. Qualifications Basic Qualifications: 10+ years of experience in product management, with at least 1+ years focused on Trust & Safety, abuse prevention, or security-related products. Technical understanding of how Trust platforms, detection pipelines, and enforcement systems operate. Experience working with large scale UGC based platforms Background in driving multi-year strategic initiatives in complex, cross-functional environments. Demonstrated experience aligning with senior engineering stakeholders in high-stakes, fast-moving product spaces Preferred Qualifications: Domain Expertise: Deep experience in Trust & Safety, Integrity, or Cybersecurity at a global scale (100M+ users). AI/ML Fluency: Advanced understanding of Large Language Models (LLMs), Generative AI, and adversarial machine learning, with the ability to partner deeply with AI Research teams. Analytical Rigor: Ability to use complex data sets to identify non-obvious patterns and drive fundamental changes in product direction. Global Perspective: Experience navigating the intersection of product features, local laws, and global cultural nuances across different time zones. Additional Information India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf 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. Workplace Type: Hybrid Career Track & Grade: IC5/10 Department: Product

Responsibilities

The role involves leading the vision and strategy for global detection systems and safety frameworks related to content abuse prevention, while driving strong execution across engineering, data science, and design teams.