Product Manager

Product Manager (AI-First)

Location: Gurugram | Experience: 4–7 Years

THE ROLE

At Unicommerce, we build technology that powers e-commerce operations at scale. Uniware, our flagship platform, enables brands, retailers, marketplaces, and sellers to manage orders, inventory, warehouses, and fulfilment across multiple channels.

We’re looking for a Product Manager who can combine strong product fundamentals with an AI-first mindset to build smarter, more intuitive, and scalable commerce solutions.

You will own the product lifecycle for key Uniware modules, working at the intersection of customer problems, business priorities, engineering, data, and AI. From simplifying complex operational workflows to identifying opportunities for intelligent automation, you will turn real-world problems into impactful product capabilities.

This is a high-ownership individual contributor role for someone who challenges conventional approaches, experiments with emerging technologies, and uses AI to create meaningful customer and business outcomes.

WHAT YOU’LL OWN

Product Strategy & Roadmap

• Own the roadmap for assigned Uniware modules, from discovery and prioritisation to launch, adoption, and continuous improvement.
• Understand complex workflows across order management, inventory, warehouse operations, returns, and omnichannel fulfilment.
• Translate customer pain points, business objectives, and market opportunities into a prioritised product roadmap.
• Identify opportunities to embed AI, intelligent automation, and data-driven decision-making into existing and new product capabilities.
• Balance customer value, business impact, technical feasibility, scalability, and speed of execution.Product Discovery & Development
• Lead product discovery through customer interviews, workflow analysis, usage data, and competitive research.
• Write crisp PRDs, user stories, process flows, and acceptance criteria that enable effective engineering execution.
• Partner with Engineering, Design, and QA to deliver reliable, intuitive, and scalable product experiences.
• Drive backlog prioritisation, sprint planning, release management, and end-to-end product delivery.
• Use AI tools to accelerate research, documentation, prototyping, analysis, and product discovery.AI-Led Product Innovation
• Identify high-impact use cases where AI can simplify commerce operations, reduce manual intervention, and improve decision-making.
• Explore capabilities such as intelligent order exception handling, demand and inventory insights, anomaly detection, natural-language analytics, and AI-assisted operational workflows.
• Evaluate where AI, traditional automation, or rule-based systems offer the best solution to a customer problem.
• Work with Engineering and Data teams to assess feasibility, data readiness, integration requirements, accuracy, and business value.
• Define success metrics for AI-powered features, including adoption, accuracy, time saved, operational efficiency, and customer impact.
• Stay curious about emerging AI capabilities and rapidly validate promising ideas through prototypes and experiments.Customer & Business Impact
• Work closely with Sales, Customer Success, Implementation, and Operations teams to understand customer needs and recurring operational challenges.
• Engage with brands, sellers, warehouse teams, and operations stakeholders to uncover workflow inefficiencies and product opportunities.
• Distinguish between one-off feature requests and scalable problems that can benefit the wider customer base.
• Align product priorities with customer experience, retention, adoption, operational efficiency, and business growth.Data & Product Analytics
• Use SQL, product analytics, and operational data to identify bottlenecks, adoption gaps, and opportunities for improvement.
• Define clear success metrics and measure product outcomes after launch.
• Leverage data and experimentation to validate hypotheses and inform roadmap decisions.
• Monitor feature adoption, fulfilment performance, and customer feedback to drive continuous improvement.

WHAT YOU BRING

Must-Have

• 4–7 years of experience, with meaningful Product Management experience in B2B SaaS, e-commerce, logistics-tech, or supply-chain technology.
• Proven ownership of product features or modules across discovery, prioritisation, development, launch, and optimisation.
• Strong product thinking, analytical skills, and working knowledge of SQL and data-driven decision-making.
• Ability to translate complex business and operational problems into scalable product solutions.
• Practical experience using AI tools to improve productivity, research, analysis, prototyping, or product workflows.
• Curiosity about AI capabilities and the ability to identify practical, high-value AI use cases.
• Strong stakeholder management and collaboration skills across Engineering, Design, business teams, and customers.
• A bias for action, comfort with ambiguity, and a strong sense of ownership.

Good to Have

• Experience with OMS, WMS, inventory management, marketplace integrations, or e-commerce fulfilment workflows.
• Exposure to AI-powered products, LLM-based applications, copilots, intelligent automation, or AI agents.
• Understanding of APIs, webhooks, integrations, and software architecture fundamentals.
• Familiarity with Jira, Confluence, Mixpanel, Amplitude, Metabase, or similar tools.
• Experience working with Engineering or Data teams on AI/ML feature development, evaluation, or experimentation.

Education

Bachelor’s degree in Engineering, Computer Science, Business, or a related discipline. An MBA is a plus.

WHAT SUCCESS LOOKS LIKE

• A clear roadmap that balances customer needs, business priorities, and scalable product innovation.
• High-impact product releases that improve customer experience and operational efficiency.
• AI and automation capabilities that solve real problems and deliver measurable value.
• Improved product adoption, workflow efficiency, and decision-making across commerce operations.
• Strong cross-functional execution and continuous learning through customer feedback and experimentation.

We’re looking for a product thinker who uses AI not just to work faster, but to rethink how products are built and how commerce operations work.