Top Tech Jobs & Startup Jobs in Bengaluru, KA

As a Senior Partner Success Manager at Truecaller, you will build a scalable and velocity-driven Partner Success stream within the Enterprise Solutions Business Unit. Your role involves working closely with Reseller Partners Management team, ensuring partner satisfaction, contract fulfillment, and ongoing education.

As a Senior Site Reliability Engineer at Truecaller, you will design, manage, and maintain infrastructure services to ensure the performance, reliability, availability, security, and evolution of the Truecaller infrastructure. Responsibilities include building tooling for provisioning and scaling, improving infrastructure components, ensuring system performance and availability, and collaborating on monitoring and capacity planning.

Exciting opportunity for a Senior Customer Success Operations Manager at Truecaller in Bangalore, India. Responsible for building a world-class product marketing charter and collaborating with internal/external stakeholders. Requires 5+ years of experience in Customer Success operations, strong collaboration skills, and operational excellence.

As a Senior Product Manager at Truecaller for Business, you will lead the product delivery and roadmap for the Verified communications solutions portfolio. You will strategize, plan, and manage product development to meet customer needs and drive business outcomes. This role requires strong experience in product management, expertise in communication solutions, technical knowledge of APIs, and exceptional analytical and communication skills.

As an Android Engineer at Truecaller, design and develop high-performance Ads SDK, collaborate with partners, work on ad tech concepts, and ensure seamless code across multiple device types. Utilize Kotlin, Coroutines, and Dependency injection to create impactful user experiences.

As a Staff Data Scientist at Truecaller in Bangalore, India, you will lead the Data team in solving complex business problems and building data-driven solutions. Your responsibilities include scaling features across different countries, enhancing natural language processing capabilities, and training and deploying machine learning models for real-world applications.