Technical Product and Delivery Manager

6 hours ago


Bangalore, India Chimera Technologies Private Limited Full time

We are seeking a Technical Product Manager (TPM) with a technical foundation, a strategic thinker and with business mindset to lead end-to-end product delivery across multiple work-streams. This role requires hands-on leadership qualities, the ability to collaborate closely with client’s leadership, business stakeholders and project teams. The candidate should be able to drive the product vision, roadmap, and execution while ensuring on-time, high-quality delivery and customer satisfaction.   You will lead a cross-functional team of software developers, GenAI, Data engineers, Data Scientists, UX Designers, Technical writers, SQA, analysts and designers, serving as the bridge between business goals, customer needs, and technical execution.  Own the end-to-end delivery lifecycle — from requirement definition and design to implementation, release, and performance tracking.  Strong expertise in project planning, estimation, resource management, and end-to-end Scrum execution.  Assign KRAs, monitor and evaluate team members job performance.  Collaborate closely with engineering, design, QA, and data teams to deliver high-impact releases within timelines.  Proactively identify risks, bottlenecks, and opportunities for improvement across delivery and product processes.  BE Computer Science, or related technical discipline (MBA or equivalent business qualification is a plus).  ~8–12 years of overall experience, with at least 5 years in product management or product managers roles.  ~ Proven experience in managing large, cross-functional teams (20+ members) and end-to-end product delivery.  ~ Strong understanding of software development processes, agile methodologies, and technology stacks.  ~ Excellent stakeholder and client management skills; Experience working in enterprise software solutions, analytics platforms, AI & ML environment preferred.    Hands-on understanding of modern technologies (GenAI, APIs, cloud, data pipelines, AI/ML, etc.). 



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