Rima Kanguri
About Rima Kanguri
Rima Kanguri serves as the VP of Engineering at Credit Karma, where she focuses on enhancing product engineering through team building and organizational design. With extensive experience in fintech and consumer tech, she has held various engineering leadership roles at Credit Karma and Actuate over the past two decades.
Current Role at Credit Karma
Rima Kanguri currently serves as the Vice President of Engineering at Credit Karma, a position she has held since 2024. In this role, she focuses on building high-performing teams and enhancing organization design to improve product engineering at scale. Her leadership is instrumental in driving engineering initiatives that align with the company's objectives.
Previous Experience at Credit Karma
Prior to her current role, Rima Kanguri held multiple positions at Credit Karma, including Senior Director of Engineering from 2022 to 2024 and Director II of Engineering from 2020 to 2022. During her tenure, she contributed to shipping several new products and features that reached all 100 million members of Credit Karma, showcasing her capability in managing large-scale engineering projects.
Experience at Actuate
Rima Kanguri worked at Actuate in various capacities from 2000 to 2014. She began as a Software Engineer and progressed to Senior Software Engineer, Software Development Manager, and ultimately Director of Software Development. Her experience at Actuate provided her with a solid foundation in software engineering and development management.
Education and Expertise
Rima Kanguri earned a Bachelor of Engineering in Computer Science from Karnatak University. Her educational background supports her extensive experience in both fintech and consumer tech sectors, as well as business intelligence enterprise products. She emphasizes data-driven decision-making and fosters an experimentation culture within engineering teams.
Focus on Team Building and Culture
Rima Kanguri places a strong emphasis on creating high-performing teams and cultivating an experimentation culture within engineering departments. She advocates for learning fast and utilizing data to solve member problems and enhance user engagement, reflecting her commitment to continuous improvement in engineering practices.