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Signifyd
Signifyd
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Role Overview

As a Staff Product Manager for our Risk Platform, you will spearhead the development of a cutting-edge platform aimed at detecting and mitigating risks in e-commerce transactions. You will work with data science teams to enable both internal and external risk operations teams to identify risk, manage rules and thresholds effectively, ensuring a scalable and adaptable product that aligns with dynamic market needs. We have an amalgamation of different tools and processes we have built with this purpose over the years, and we need now to build out a unified market ready whole product for the most efficient risk teams in the market.

Key Responsibilities

  • Lead the vision, strategy, and roadmap for the Risk Platform, ensuring alignment with business objectives and customer needs.
  • Collaborate with Engineering, Data Science, Customer Success and Risk Intelligence teams to define and prioritize high-impact features that enhance platform capabilities.
  • Engage with key stakeholders to gather insights and feedback, translating complex needs into clear, actionable requirements and product specifications.
  • Oversee the end-to-end lifecycle of product features from ideation through launch, ensuring successful implementation and adoption.
  • Establish and monitor key performance indicators (KPIs) to measure platform effectiveness and drive continuous improvement.
  • Act as a product evangelist, represent Signifyd at internally and externally

Required Skills and Qualifications

  • 7+ years of product management experience, with a strong background in developing platforms or products in high-tech, e-commerce, or similar environments.
  • Proven ability to lead cross-functional teams and projects, demonstrating exceptional collaboration and leadership skills.
  • Deep understanding of risk management, fraud prevention, and e-commerce ecosystems.
  • Strong analytical skills and experience with data-driven decision making.
  • Excellent communication and presentation skills, capable of conveying complex ideas to diverse audiences.

Desirable Attributes

  • Experience with rule-based systems or decision engines.
  • Familiarity with AI and machine learning applications in risk assessment.
  • 3+ years of experience directly in the Risk space
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