Associate Product Manager (CarTrade Tech Mumbai)

OLX India; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

CarTrade Tech in Mumbai is seeking an Associate Product Manager who can blend strong product thinking with hands-on work in AI/GenAI-powered features.

You will identify customer problems, define strategy, and work with Engineering, Design, Data, and Business teams to ship scalable digital products, measure impact, and iterate toward better AI-driven experiences.

Qualifications

• 1+ years of product management experience, preferably with AI/GenAI exposure.
• Experience building or launching AI/ML/GenAI-enabled products or features.
• Familiarity with agile development processes and collaboration with cross-functional teams.
• Strong analytical skills using data and customer insights for decision-making.

Responsibilities

• Own end-to-end product lifecycle from discovery to launch and optimization.
• Develop and manage the product roadmap based on impact and feasibility.
• Identify opportunities where AI/GenAI can improve customer experience or efficiency.
• Translate problems into PRDs, user stories and product requirements.
• Collaborate with Engineering, Design, Data and Business teams to ship quality products.
• Work with AI/Engineering teams to implement LLMs, generative AI, and intelligent search when appropriate.
• Conduct customer research and competitive benchmarking to understand needs.
• Define KPIs and use data to evaluate adoption and impact.

Skills

Product management

AI/GenAI experience

Agile environment

Analytical skills

Stakeholder management

Education

MBA (preferred)

Job description

CarTrade Tech is looking for an Associate Product Manager who can combine strong product thinking with hands-on experience in building or implementing AI / GenAI-powered products and features.

The role will focus on identifying customer and business problems, defining product strategy, and working closely with Engineering, Design, Data and Business teams to build scalable digital products. The ideal candidate should have experience taking products from problem discovery and ideation through execution, launch and continuous improvement, with meaningful exposure to AI-led use cases.

What You'll be doing

• Own the end-to-end product lifecycle — from problem identification, customer discovery and product definition to launch, adoption and optimization.
• Develop and manage the product roadmap, prioritising initiatives based on customer impact, business value and technical feasibility.
• Identify opportunities where AI, Generative AI, ML and automation can meaningfully improve customer experience, operational efficiency or business outcomes.
• Translate business and customer problems into clear PRDs, user stories, workflows and product requirements.
• Work closely with Engineering, Design, Data/Analytics and Business teams to build and launch high-quality products.
• Partner with AI/Engineering teams to evaluate and implement solutions involving LLMs, conversational AI, recommendation/personalisation, intelligent search, automation or other AI-led capabilities, depending on the use case.
• Conduct customer research, data analysis and competitor benchmarking to develop a strong understanding of customer needs and market opportunities.
• Define clear KPIs and success metrics and use data to evaluate product adoption, customer behaviour and business impact.

Who we are looking for

• 1 plus years of overall experience, with significant experience in Product Management.
• Demonstrated experience in building or launching AI/ML/GenAI-enabled products, features or customer experiences.
• Strong understanding of the product development lifecycle, including discovery, prioritisation, roadmap creation, execution and experimentation.
• Experience working closely with Engineering, Design and Data teams in an agile environment.
• Strong analytical skills with the ability to use data, customer insights and business metrics for decision-making.
• Strong problem-solving ability with comfort working on ambiguous and zero-to-one problems.
• Excellent stakeholder management, communication and influencing skills.
• Experience in consumer internet, marketplaces, automotive tech, e-commerce, SaaS or other digital businesses would be preferred.
• Exposure to LLMs, GenAI platforms, conversational AI, recommendation systems, intelligent search or AI-powered automation would be a strong advantage.
• MBA from a reputed institution would be an added advantage.