The company provides global identity verification via enterprise-grade APIs and a SaaS solution. Their product suite is the first and only cross-border identity engine of its kind. It uses complex machine learning algorithms across the five consumer attributes of email, phone, name, physical address, and IP to derive unique data links and features from billions of real-time transactions within our customer network and the globally sourced data of our graph.
As a Technical Product Manager, you will be responsible for leading and working with a talented team of software engineers, data scientists, sales, account managers and product marketing to deliver the best data driven identity verification products in the market.
The successful candidate will be a key leader in defining, scoping, prioritizing and executing features spanning multiple stakeholders. This position has extremely high visibility and potential, and requires project management, base level technical knowledge, and organizational skills.
In the Technical Product Manager role you will:
- Help to create and maintain your team’s roadmap and milestones. Work with your team to estimate, implement, and build features while ensuring that you’re working on the highest priority things you can be
- Leverage internal data science skills and expertise to build and innovate products
- Based on customer interactions and with a focus on constant improvement identify ways to streamline delivery of data to customers, develop new products and features that will continue to drive the adoption of Ekata products
- Manage development projects that support your products and how our customers interact with them, which will include tracking projects toward specific milestones, solving or elevating technical issues, and providing constant communication both within the project team and to other stakeholders
- Analyze and triage incoming feature requests and bug reports
- Explore, analyze, and understand our data deeply, and constantly look for ways to improve its quality and its value to the company
- Work closely with data and services team stakeholders to clearly define the priorities for your team based on the overall needs of the business