Manager 2, Trust Operations

As part of LinkedIn’s Trust team, the Payments Review Manager will lead a critical operations program responsible for protecting LinkedIn’s revenue, members, and platform integrity by identifying, investigating, and mitigating payment abuse at scale.

In this role, you will own end-to-end operational delivery across global payment review workflows, ensuring high accuracy, compliance, and consistency while operating in a fast-moving, risk-driven environment. You will lead and develop a high-performing team, drive operational excellence against strict SLAs and quality benchmarks, and partner closely with Product, Engineering, Legal, Compliance, and Policy teams to manage risk, respond to emerging threats, and scale durable solutions.

You will combine deep operational judgment with data-driven decision-making to improve review quality, strengthen controls, reduce manual effort through automation, and ensure compliance with regulatory and internal requirements (e.g., KYC, payments regulations, audit readiness). This role requires strong people leadership, sound risk intuition, and the ability to translate complex payment abuse trends into actionable operational and strategic outcomes.

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.

Key Responsibilities:

• Lead, coach, and develop a team of payments review and fraud specialists, setting clear goals aligned to the team’s vision, mission, and operating strategy.

• Provide ongoing mentorship, performance feedback, and motivation, enabling high-quality decision-making, accountability, and consistent execution.

• Foster a positive, high-performance culture focused on operational excellence, ownership, and continuous improvement.

• Own end-to-end delivery of payments review operations, ensuring accurate, timely, and consistent execution against SLAs, quality standards, and risk thresholds.

• Lead investigation and resolution of complex payment fraud cases and high-risk escalations across LinkedIn product offerings.

• Define and execute a clear operational vision and multi-year strategy for payments review, translating business priorities and risk signals into scalable operating models, roadmaps, and measurable outcomes. 

• Partner closely with Product, Engineering, Legal, Compliance, Finance, and Policy teams to influence roadmap decisions and drive durable fraud mitigation solutions.

• Stay current on payment fraud trends, regulatory expectations, and industry best practices, incorporating learnings into team strategy and execution.

Basic Qualifications:

• 7+ years of experience in payment fraud detection, prevention, or risk operations, preferably within payments, fintech, e-commerce, or social media platforms, including 3+ years of people management experience leading operational or risk-focused teams.

• 5+ years of experience with SQL and data analysis techniques and tools. Experience with using several different business process modeling and documentation tools.

• 5+ years of experience in payment fraud services, including investigations, escalations, chargebacks, disputes, and fraud mitigation strategies, with an understanding of payments ecosystems and associated risk controls.

Preferred Qualifications:

• Familiarity with card network rules, card scheme regulations, and broader payment compliance requirements.

• Experience building and scaling teams, including making informed in-house versus outsourcing decisions.

• Experience supporting or managing risk programs across multiple regions within a global operating model.

• Familiarity with project management methodologies and tools to plan, execute, and deliver cross-functional initiatives effectively.

Suggested Skills:

• Comfort operating in high-ambiguity, high-complexity, and highly cross-functional environments

• Data-driven decision-making with advanced SQL proficiency

• Deep understanding of payment ecosystems, chargebacks, and dispute resolution

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