Platform Product Manager

About the client : An AI-powered Growth and Personalization Platform that is reinventing how companies retain, and monetize their customers. About the Role : As a Platform Product Manager at you will take ownership of building and evolving the technical foundations of our platform. This role requires a deep understanding of distributed systems, API design, and large-scale data infrastructure, as well as the ability to translate customer and business needs into scalable platform features. Collaborating closely with engineering, data science, UX teams, and customer-facing teams We're looking for a highly technical product leader who thrives on solving complex problems, drives cross-functional collaboration, and ensures that our platform meets the demands of scalability, performance, and reliability. Responsibilities : - Own and define the roadmap for core platform components, including APIs, distributed systems, and data infrastructure. - Collaborate with engineering to design and deliver scalable, high-performance systems that support customer-facing applications and internal tools. - Work closely with data science teams to ensure the platform can efficiently handle ML models, AI agents, and data processing pipelines. - Partner with customer teams and customer-facing teams to translate enterprise requirements into technical specifications and platform capabilities. - Define and monitor KPIs for platform performance, reliability, and scalability. - Drive technical trade-off decisions, ensuring that short-term deliverables align with long-term platform goals. - Stay informed about industry trends in platform architecture, cloud technologies, and AI/ML to guide innovation Qualifications : - 4 years of experience in product management with a strong focus on technical products, platforms, or infrastructure. - Solid understanding of distributed systems, API design, and scalable data infrastructure. - Experience working with cloud platforms (e.g., AWS, GCP, Azure) and managing large-scale datasets. - Familiarity with AI/ML systems, including model deployment and performance monitoring. - Strong analytical skills and a data-driven approach to decision-making. - Proven ability to work effectively with engineering teams and contribute to technical discussions. - Excellent communication and collaboration skills, with the ability to distill complex concepts for diverse audiences, including customer teams. - A proactive, ownership-driven mindset with a focus on delivering impactful results in a fast-paced environment. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 1/12/2025