Job
Description
As an Engineering Manager at our fast-growing startup, you will play a crucial role in architecting and scaling our data and AI infrastructure to empower global consumer brands to expand seamlessly into new markets. Your responsibilities will include designing and owning end-to-end data architecture, building scalable data pipelines, maintaining data governance, and leading automation initiatives using AI-driven engines. This is a unique opportunity to shape the technology backbone of a disruptive business model in global retail and ecommerce. Key Responsibilities: - 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. - 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. - Develop infrastructure anomaly detection and self-healing systems. - Create AI-driven business KPI monitoring and alerting for stockouts, sales drops, and demand surges. - 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. Qualifications Required: - 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. - 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. In this role, you will have the opportunity to build the AI-first backbone for global brand expansion, enjoy high autonomy, ownership, and direct business impact, and be part of a fast-paced, entrepreneurial working culture with global ambitions. Competitive compensation (up to 1 Crore fixed + equity options for ideal candidates) is offered for this position.,
