Full-Time
Senior Product Manager
AI-driven automation for secure identity verification
Senior
San Francisco, CA, USA
- 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!
- 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
Incode is a leading company in the identity verification industry, providing next-generation, privacy-centric solutions that significantly reduce risks to revenue, reputation, and customer trust. Their AI-driven automation technology, developed in-house, offers a competitive edge by enabling secure and instantaneous identity verification. The company's commitment to privacy is evident in their enterprise security capabilities and verification on the edge, allowing individuals to control their information sharing, which goes beyond the standard KYC verification.
Company Stage
Series B
Total Funding
$257.1M
Headquarters
San Francisco, California
Founded
2015