Senior Product Manager (AI & ML)
IncodeAbout the role
We are a leading digital identity company that believes in a future where customers can perform any transaction without friction. We enable banks, fintech, retailers, marketplaces, healthcare systems, government agencies, and many others to provide more secure and delightful experiences to their customers.
Through our flagship suite, Incode Omni, we offer an end-to-end omnichannel identity platform that helps businesses address all of their identity needs, from digital onboarding and know-your-customer (KYC) to omnichannel authentication and more.
We’re in the process of rapidly scaling our global but close-knit team and we’re looking for leaders who are curious, driven and excited by ownership!
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 software development, excellent project management skills, great communication skills, and motivation to achieve results in a fast-paced environment.
Responsibilities
- Own the strategy, planning and execution for the best-in-class AI driven 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 platform 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.
- 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!
#LI-Remote
Benefits & Perks- Meaningful equity
- Competitive salary
- Travel – yearly sprints
- Benefit allowance for health insurance, life insurance or pension contribution
- Open vacation policy
- Flexible working hours
- Working as part of a global business with a diverse team
- Opportunity to grow from the ground up with a well funded early-stage start-up
- Working closely with passionate and supportive team members
- Customer centric and impactful products
- Working as part of a bright, passionate, and diverse team
- Simplicity
- Quality
- Bias for action
- Integrity
- Empathy
- Courage
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