About The Position

As a Product Manager in Trust and Safety, you will help shape product innovation, deliver customer value, and lead products through the end-to-end product life cycle. You will act as the voice of the customer, develop profitable products, guide successful launches, gather feedback, and help ensure high-quality client experiences. The role focuses on human and agentic identity and defining and delivering Trust and Safety capabilities to establish, verify, and protect identity across products and experiences. You will partner with Data Science, Data Engineering, and Software Engineering to design and build detection and risk systems, translating complex risk signals and technical constraints into clear product requirements and measurable outcomes. You will also work with internal stakeholders and external clients to implement practical, scalable solutions in real-world workflows that reduce risk while maintaining strong client experiences.

Requirements

  • At least 5 years of experience or equivalent expertise in product management or a relevant domain area.
  • Advanced knowledge of the product development life cycle, design, and data analytics.
  • Proven ability to lead product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management.

Nice To Haves

  • Demonstrated prior experience working in a highly matrixed, complex organization.

Responsibilities

  • Develop product strategy and vision that deliver value to customers.
  • Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
  • Own, maintain, and develop a product backlog that supports the strategic roadmap and value proposition.
  • Build the framework for and track key product success metrics, including cost, features and functionality, risk posture, and reliability.
  • Lead product life cycle activities, including discovery, ideation, strategic development, requirements definition, and value management.
  • Partner with Data Science, Data Engineering, and Software Engineering to design and build detection and risk systems.
  • Translate complex risk signals and technical constraints into clear product requirements and measurable outcomes.
  • Collaborate with internal stakeholders and external clients to implement scalable solutions in real-world workflows.
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