AI Product Manager

ConverzAI; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

ConverzAI is seeking an experienced AI Product Manager who has built AI-powered products from the ground up. You will own the end-to-end product lifecycle, identify customer problems, define strategy, and collaborate with AI/ML teams to launch and scale solutions.

Responsibilities include owning roadmaps, setting vision and KPIs, working with engineers, data scientists, UX designers, and stakeholders, and driving discovery through research and data-driven insights to deliver scalable AI

Qualifications

• 4+ years of Product Management experience with ownership of AI-powered products.

Responsibilities

• Own the product roadmap for AI-powered products from ideation through launch and iteration.
• Define product vision, strategy, and success metrics aligned with business objectives.
• Collaborate closely with AI/ML Engineers, Data Scientists, Software Engineers, UX Designers, and business stakeholders to deliver scalable AI solutions.
• Translate customer problems into AI-driven product opportunities and define detailed product requirements.
• Drive product discovery through customer interviews, market research, competitive analysis, and data-driven insights.
• Prioritise features using customer impact, business value, and technical feasibility.
• Work with engineering teams throughout development, testing, release, and post-launch optimisation.
• Define product KPIs and continuously improve product performance through experimentation and user feedback.
• Stay current with advancements in Generative AI, LLMs, AI agents, RAG, automation, and emerging AI technologies.

Skills

Product management

AI product development

Stakeholder management

Data-driven decision making

Agile

Job description

We are looking for an experienced AI Product Manager who has successfully built AI-powered products or features from the ground up. This role is ideal for someone who has been deeply involved in the end-to-end product lifecycle, from identifying customer problems and defining product strategy to working closely with engineering and AI/ML teams to launch and scale AI-driven solutions.

Responsibilities:

• Own the product roadmap for AI-powered products and features from ideation through launch and iteration.
• Define product vision, strategy, and success metrics aligned with business objectives.
• Collaborate closely with AI/ML Engineers, Data Scientists, Software Engineers, UX Designers, and business stakeholders to deliver scalable AI solutions.
• Translate customer problems into AI-driven product opportunities and define detailed product requirements.
• Drive product discovery through customer interviews, market research, competitive analysis, and data-driven insights.
• Prioritise features using customer impact, business value, and technical feasibility.
• Work with engineering teams throughout development, testing, release, and post-launch optimisation.
• Define product KPIs and continuously improve product performance through experimentation and user feedback.
• Stay current with advancements in Generative AI, LLMs, AI agents, RAG, automation, and emerging AI technologies.

Requirements:

• 4+ years of Product Management experience with significant ownership of AI-powered products.
• Proven experience building AI products or AI features from scratch and taking them to production.
• Strong understanding of the AI product development lifecycle, including experimentation, deployment, evaluation, and continuous improvement.
• Experience working closely with AI/ML engineering teams and understanding model capabilities, limitations, and trade-offs.
• Hands-on experience defining product requirements, writing PRDs, prioritising roadmaps, and managing agile product development.
• Strong analytical and problem-solving skills with a data-driven mindset.
• Excellent stakeholder management and communication skills.

Good to Have:

• Experience with Generative AI, LLMs, AI Agents, RAG (Retrieval-Augmented Generation), NLP, conversational AI, recommendation systems, or intelligent automation.
• Experience delivering AI products for US-based customers or global enterprises.
• Experience in SaaS, HRTech, Enterprise Software, or B2B AI platforms.
• Familiarity with AI evaluation metrics, model performance, and experimentation frameworks.
• Technical understanding of APIs, cloud platforms, and modern AI architecture.