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Product Manager – AI & Platforms
Role: Product Manager
Reporting to: Senior Product Manager
Location: Noida, India
Department: Product / Technology
Role Overview
Times Network is looking for a Product Manager – AI & Platforms who can work at the intersection of product thinking, AI capabilities, and technical execution.
This role goes beyond traditional product management. We are looking for someone who can translate ideas and requirements into working AI-driven prototypes, experiment with modern AI tools, and collaborate deeply with engineering teams to bring these capabilities into production products.
You will work closely with senior product and engineering leadership to build scalable digital platforms, internal tools, and AI-powered product experiences used across the Times Network ecosystem.
The ideal candidate is comfortable working in ambiguous problem spaces, understands AI product capabilities such as LLMs and APIs, and can move quickly from problem prototype product execution.
Key Responsibilities
AI Product & Prototyping Expectations
This role requires a hands-on approach to AI-enabled product development.
The candidate should be able to:
Required Skills & Experience
Preferred Experience
What We Look For
Why Join Times Network
Interested candidates can share their resume at [Confidential Information]
Interested candidates can fill in their details on this link https://lnkd.in/gyCyWuDZ
Job ID: 145187239
Skills:
Jira, Figma, Anthropic, OpenAI, chatbots, fine-tuning, LLM APIs, Hugging Face, AI agents, decision-support systems, task automation, model evaluation, context management, prompt engineering, LLM-powered applications
Skills:
AI tools, no-code tools, YouTube integrations, AI conversation design, prompt engineering, Make.com, Bubble, LLM APIs, AI workflow design, social media APIs, low-code tools, Voiceflow
Skills:
Apis, AI-assisted product development, LLM-powered tools, prompt engineering, agentic workflows, settlement systems, MCP integrations, offer engines, merchant payment interfaces, lender integrations, code-generation tools, AI-native workflows, system architectures
Skills:
Business Models, data-driven analytics
Skills:
data engineering , Distributed Computing, Apis, Microservices, MLops, Cloud Infrastructure, scalable AI systems, AI products, DevOps practices, data-driven product development, user engagement strategies, software system architecture, AI ML concepts
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