Lead Product Manager
Myntra · Bengaluru
- Experience8–10 yrs
- SalaryNot disclosed
- Work modeonsite
- Levelexecutive
- Posted2 Sept 2026
About Myntra
Myntra is hiring in Bengaluru in ecommerce retail. This role looks for around 8+ years of experience.
Skills
- AI product management
- Product management
- Generative AI
- Predictive AI
- Analytics
- Large language models
- Agentic AI
- Data engineering
- Machine learning
- Data science
- SaaS
- Product requirements
- User experience design
The role
A technical product manager at an e-commerce marketplace defines AI product strategy and requirements, reimagines web and mobile user experiences, and uses Generative AI, Predictive AI, and analytics to launch enterprise SaaS solutions.
Full job description
Responsibilities:
Vision and Strategy: Spearhead the development and implementation of cutting-edge AI solutions by crafting the vision, strategy, roadmap, and execution plan.
Product Development: Build detailed product requirements, narratives, and technical specifications. These should be driven by customer feedback and intuitive product thinking.
Re-Imagine User Experience: You'll take the lead in re-imagining the end-to-end User Experience of our product, optimising for an AI-first world. You will do this across our Web and Mobile applications.
Data-Driven Insights: Utilise data to deeply understand user needs and guide future product development. Build the necessary Analytics layer to enable data-driven decision-making.
Cross-Functional Collaboration: Work closely with engineering, product design, cross-track product management and GTM teams to bring new capabilities to life.
Drive Engineering Design and Excellence: Stay ahead of the technology curve. Leverage Agentic AI, Generative AI, Predictive AI and Analytics to optimise dealership and enterprise workflows.
Drive Internal AI adoption: Facilitate AI adoption within Tekion by assessing partnerships and driving POCs with innovative AI startups, data providers, and cloud
vendors. The objective is to enhance the productivity of all Tekion teams through tailored AI solutions.
Requirements:
7+ years of experience in Product Management in B2B2C, B2B or B2C space.
3+ years in AI-focused product management in B2B2C, B2B or B2C space.
Experience working closely and driving product requirements for Data Engineering, ML Engineering and Data Science teams.
Experience working in a SaaS offering in one or more of the following: Accounting, Payroll, CRM, ERP, DMS, eCommerce/Digital Retail, and Analytics.
Proven track record of launching AI-driven enterprise SaaS solutions at scale.
Experience building teams and growing organisations.
Deep understanding of LLMs, agentic AI platforms, Generative AI and Predictive AI models.
Preferred Skills:
Formal degree in a technical field such as Machine Learning, Statistics or Computer Science.
7+ years of product management experience, ideally building SaaS platforms.
Familiarity with core AI platform elements such as Kubeflow, Pinecone, LangChain, etc.
Knowledge of AI tooling stack across one/many public cloud and Data vendors such as AWS SageMaker, Azure ML, Google Vertex AI, Databricks, etc.
Familiarity with LLM-based applications and AI-enhanced customer engagement tools.
Strong technical acumen in cloud-based AI infrastructures and data pipelines.
Experience in automotive, supply chain, or enterprise AI SaaS solutions.
Experience managing large, technically complex engineering programs spanning multiple teams.
A high degree of independent drive.