Product Manager (Data / AI)

Delhivery is at the forefront of revolutionizing logistics and supply chain management in India. As we continue to grow and scale, we are seeking a dynamic and experienced Product Managers to lead the development of our data services and AI products.

What you will do

Product Ownership

• Define and execute the roadmap of data-as-a-service (DaaS) capabilities, including data APIs, and other data centric solutions such as demand forecasting, route optimization, shipment ETA prediction, capacity planning, risk prediction, and network control tower automation.
• Translate operational challenges into data and model-driven opportunities — working backwards from SLA failures or inefficiencies.
• Partner with data scientists to prioritize, scope, and validate models that deliver measurable business outcomes.

Cross-functional Collaboration

• Act as the bridge between engineering, operations and data consumers (analytics, AI, product teams).
• Work closely with Operations, Network Planning, Engineering, and Product teams to understand real-world constraints and ensure AI systems are grounded in operational reality.
• Translate analytical and business needs into clear data requirements and user stories.
• Evangelize the use of shared data assets, ensuring consistency and trust in all reporting and models.

Insight & Impact

• Define success metrics and track adoption of data solutions across teams.
• Build mechanisms for data observability and feedback loops to continually improve data accuracy and usability.
• Identify monetization opportunities for internal or external data products.

What You’ll Bring

• 3–5 years of experience in Product Management, preferably in data platform, infrastructure, or AI/analytics products.

• 2+ years

  in AI-focused product management in B2B2C, B2B or B2C space
• Deep understanding of LLMs, AI Agentic Platform, Generative AI and Predictive AI models

• Strong analytical and problem-solving skills — able to define clear KPIs and value measures for data initiatives.

• Ability to collaborate effectively with engineering, analytics, and compliance stakeholders.

• A high degree of independent drive.

• Bonus: experience with AI/ML data readiness, metadata management, or supply chain logistics domain knowledge