Lead Product Manager · Bengaluru

What Youll Do

• Drive the product/engineering roadmap for AI-enabled and agentic workflows, accelerating digital productivity across the retail value chain.

• Build scalable, modular, high-performance systems/products that power mission-critical retail operations.

• Translate complex business and user problems into simple, intuitive, and elegant solutions using data, design, and experimentation.

• Collaborate deeply with engineering, design, data, business, and operations to deliver measurable value.

• Own product/feature success metrics improving adoption, efficiency, and customer experience.

• Bring clarity to ambiguity by defining strategy, scope, prioritization, and clear decision frameworks.

• Raise the bar for product/engineering excellence by influencing system architecture, processes, and culture.

Must-Haves

What You Bring:

• Proven experience in building and scaling large consumer, enterprise, or AI-led products/systems.

• Strong capability in problem framing, user understanding, data-driven decisioning, and outcome definition.

• Lead multiple product domains including: WMS, IMS, OMS integrations, Logistics & Transportation Management

• Exceptional ability to collaborate with engineering, design, data, and cross-functional partners.

• High ownership mindset with the ability to lead in ambiguity.

• Clear, structured communication and strong stakeholder influence skills.

• Balance build vs buy vs partner decisions.

• Nice-to-Haves

• Experience with LLMs, agentic workflows, automation frameworks, or decision engines.

• Domain knowledge in retail, commerce, supply chain, or large operational ecosystems.

• Background in high-growth product startups or big tech scale environments.

Why Join RRVL OneTech

• Build at the intersection of scale AI digital transformation a rare, high-impact opportunity in India.

• Work with a high-calibre team from top product companies, startups, and global tech.

• Ownership from day one, with freedom to innovate, experiment, fail fast, and ship.

• Massive problem scale products impacting millions of customers and thousands of stores.

• Culture built on speed, autonomy, engineering excellence, and continuous learning.