The Opportunity

Are you a passionate product manager who wants to build digital identity products for millions of end-users? 

As a Senior Product Manager at Incode, you will own the business strategy and vision for a multi-functional team to design, develop, test, and deploy new features and products. A successful candidate will have a solid underpinning in product management as well as knowledge of machine learning model development, software development, excellent project management skills, great communication skills, and motivation to achieve results in a fast-paced environment.

Responsibilities

• Manage products throughout their entire lifecycle.
• Own the strategy, planning and execution of fraud solutions for the best-in-class AI-driven biometrics identity verification platform.
• Lead the prioritization and development of your product’s roadmap to deliver value to our customers and the business.
• Own and write comprehensive product requirements to build the AI & ML identity products and fraud detection solutions across industries use cases which empowers the team to continuously improve our core technology including ID verification, facial recognition, etc.
• Develop hypothesis, success metrics & KPIs, run experiments, analyze data, and make improvements to core machine learning models.
• Partner closely with analytics and engineering teams, and interface with cross functional stakeholders e.g. executives, sales, product, marketing, legal, and customer success teams.
• Regularly meet and work with our B2B customers to gather feedback and refine product strategy.
• Define best practices to help build a data driven culture across the company

Requirements

• Minimum 5 years of experience in product management within the AI/ML domain, preferably computer vision and/or fraud/risk prevention domain.
• Master’s degree in business, computer science or any related field.
• Track record of working with AI/ML/Data Science and Engineering teams to define, build and maintain highly scalable, mission-critical systems.
• Full stack knowledge of building AI platform, microservice architecture, Cloud (AWS) architecture, ML infrastructure and architecture, risk and fraud modeling and controls.
• High-level understanding of machine learning concepts and general practices.
• Experience with rapid experimentation, including definition of hypothesis, success metrics, A/B Testing and data analysis.
• Proficiency in data analysis using SQL, Tableau, Redshift, and Python
• Ability to work effectively within a team and build positive relationships cross-functionally.
• Self-driven and highly motivated with a strong attention to accuracy and detail.
• Excellent troubleshooting, analytical and problem-solving abilities with a commitment to finding the root cause of issues.
• Good understanding of AI & ML ecosystem and products in the market
• Strong written and verbal communication skills to help drive strategy and influence stakeholder teams
• Experience leading a cross- functional team in an agile environment.
• Open to learn, develop, change, experiment, and have fun!