Engineering Manager– AI & Data

Role: Engineering Manager – AI & Data | Bangalore

About Us:-

Role Overview:-

Key Responsibilities:-

• Data Architecture & Engineering
• Design and own end-to-end data architecture across multiple business functions.
• Build scalable, real-time data pipelines across brands, channels, and geographies.
• Maintain strong data governance, lineage, and quality.
• AI & Automation
• Architect AI-first engines combining predictive and generative AI for business workflows.
• Deploy agentic AI systems to automate key processes in marketing, supply chain, pricing, catalogue ops, and category management.
• Lead MLOps practices for model deployment, monitoring, and continuous improvement.
• Systems Reliability & Monitoring
• Develop infrastructure anomaly detection and self-healing systems.
• Create AI-driven business KPI monitoring and alerting for stockouts, sales drops, and demand surges.
• Leadership & Collaboration
• Hire, mentor, and scale a high-performing engineering team.
• Instil a culture of innovation, experimentation, and speed.
• Align technology strategy closely with product, marketing, and supply chain business leaders.
  

Key Competencies & Skills:-

• Technical:-
• Proven expertise in data engineering and architecture (SQL/NoSQL, cloud data warehouses, data lakes, streaming infrastructure such as Kafka/Kinesis).
• Extensive experience in building and deploying AI/ML systems: demand forecasting, dynamic pricing, anomaly detection, generative AI.
• Knowledge of agentic AI frameworks (LangChain, LlamaIndex, AutoGen, orchestration tools).
• Hands-on coding ability (Python, Go, or Java); openness to AI code tools (Cursor, Copilot, etc).
• Experience with MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI).
• Full stack engineering background preferred.
• Leadership:-
• 8-10 years of engineering experience, with 3-4 years as a Manager/ Lead or EM handling small/medium-sized teams.
• Experience scaling teams in high-growth startups or enterprise AI/data platforms.
• Strong communication, collaboration, and stakeholder management.
• Experience in retail and/or ecommerce preferred.
• Ability to translate business challenges into scalable technical solutions.
  

What We Offer:-

• Opportunity to build the AI-first backbone for global brand expansion.
• High autonomy, ownership, and direct business impact.
• Competitive compensation (up to ₹1 Crore fixed + equity options for ideal candidates).
• Fast-paced, entrepreneurial working culture with global ambitions.