Salary
💰 $146,250 - $170,625 per year
Tech Stack
AirflowApacheASP.NETAWSEntity FrameworkHadoopInformaticaJavaJavaScriptKubernetesMS SQL Server.NETNode.jsPandasPythonRubyScalaSparkSQL
About the role
- Define and champion the long-term vision, strategy, and roadmap for the risk product platform, aligning with company and product objectives.
- Own the end-to-end product lifecycle of the orchestration platform of shared platform services, including fraud detection and risk mitigation solutions, income verification services and other third-party decisioning services.
- Drive development of API-based services (advanced income verification, fraud detection), ensuring robustness, scalability, and reusability across product portfolio.
- Lead strategic direction and development of the Policy Optimizer product, leveraging ML and AI to enhance decision-making and platform performance.
- Lead, mentor, and grow a small team of Product Managers specializing in Data and Fraud.
- Partner with engineering, architecture, data science, risk, legal, compliance, and other product teams to define requirements, prioritize initiatives, and ensure successful delivery.
- Manage key relationships with external vendors and third-party service providers.
- Utilize data, market research, and competitive analysis to inform product decisions and measure success of platform initiatives.
- Communicate platform strategy, roadmap, and value proposition to executive leadership and cross-functional teams.
- Reports to SVP of Product.
Requirements
- 7+ years of progressive experience in Product Management, with at least 3+ years focused on SaaS platform products, APIs, and the development of common platform services.
- Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus.
- Demonstrated skills leveraging LLMs to accelerate and scale product management skill sets.
- Strong technical and team leadership, with 3+ years of experience managing and developing a team of Product Managers.
- Excellent communication, interpersonal, and presentation skills, with the ability to influence stakeholders at all levels.
- Industry knowledge in financial services, fraud detection, KYC/AML and managing an orchestrated platform of in-house and third party service providers; preferably with credit, lending, or other financial products.
- Demonstrated experience with machine learning-based products, particularly in leveraging data science to optimize business processes or product features.
- Proven track record of defining and launching successful, scalable platform products and leading complete product cycles from ideation to implementation.
- Strong technical understanding with the ability to engage in technical discussions with engineering teams, particularly concerning API design, service-oriented architectures, and ML/AI model integration.
- Demonstrated ability to balance strategic thinking with hands-on execution.
- Strong analytical and problem-solving skills, with a focus on data-driven decision-making, working closely with or in a hands-on manner with data science and analytics teams.