<p><p><b>Role : Engineering Manager - AI & Data | Bangalore</b><br/><br/><b>About Us :</b><br/><br/>We are a fast-growing startup building an AI-first omnichannel franchisee platform, empowering global consumer brands to expand seamlessly into new markets.
Our solution leverages cutting-edge data architecture, agentic AI-driven automation, and intelligent insights to transform decision-making across marketing, supply chain, inventory, pricing, cataloguing, and category management.<br/><br/><b>Role Overview :</b><br/><br/>We seek an Engineering Manager to architect and scale our data and AI infrastructure, build decision augmentation engines, lead automation initiatives, and create robust monitoring systems.
This is a unique opportunity to shape the technology backbone of a disruptive business model in global retail and ecommerce.<br/><br/><b>Key Responsibilities :</b><br/><br/>Data Architecture & Engineering :</p><p><br/></p><p>- Design and own end-to-end data architecture across multiple business functions.<br/></p><p><br/></p><p>- Build scalable, real-time data pipelines across brands, channels, and geographies.<br/></p><p><br/></p><p>- Maintain strong data governance, lineage, and quality.<br/></p><p><br/></p><p>AI & Automation :</p><p><br/></p><p>- Architect AI-first engines combining predictive and generative AI for business workflows.<br/></p><p><br/></p><p>- Deploy agentic AI systems to automate key processes in marketing, supply chain, pricing, catalogue ops, and category management.<br/></p><p><br/></p><p>- Lead MLOps practices for model deployment, monitoring, and continuous Reliability & Monitoring :</p><p><br/></p><p>- Develop infrastructure anomaly detection and self-healing systems.<br/></p><p><br/></p><p>- Create AI-driven business KPI monitoring and alerting for stockouts, sales drops, and demand & Collaboration :</p><p><br/></p><p>- Hire, mentor, and scale a high-performing engineering team.<br/></p><p><br/></p><p>- Instil a culture of innovation, experimentation, and speed.<br/></p><p><br/></p><p>- Align technology strategy closely with product, marketing, and supply chain business leaders.<br/><br/><b>Key Competencies & Skills :</b><br/><br/>Technical :<br/></p><p><br/></p><p>- Proven expertise in data engineering and architecture (SQL/NoSQL, cloud data warehouses, data lakes, streaming infrastructure such as Kafka/Kinesis).<br/></p><p><br/></p><p>- Extensive experience in building and deploying AI/ML systems : demand forecasting, dynamic pricing, anomaly detection, generative AI.<br/></p><p><br/></p><p>- Knowledge of agentic AI frameworks (LangChain, LlamaIndex, AutoGen, orchestration tools).<br/></p><p><br/></p><p>- Hands-on coding ability (Python, Go, or Java); openness to AI code tools (Cursor, Copilot, etc).<br/></p><p><br/></p><p>- Experience with MLOps tools (Kubeflow, MLflow, SageMaker, Vertex AI).<br/></p><p><br/></p><p>- Full stack engineering background :<br/></p><p><br/></p><p>- 8-10 years of engineering experience, with 3-4 years as a Manager/ Lead or EM handling small/medium-sized teams.<br/></p><p><br/></p><p>- Experience scaling teams in high-growth startups or enterprise AI/data platforms.<br/></p><p><br/></p><p>- Strong communication, collaboration, and stakeholder management.<br/></p><p><br/></p><p>- Experience in retail and/or ecommerce preferred.<br/></p><p><br/></p><p>- Ability to translate business challenges into scalable technical solutions.<br/><br/><b>What We Offer :</b><br/><br/>- Opportunity to build the AI-first backbone for global brand expansion.<br/></p><p><br/></p><p>- High autonomy, ownership, and direct business impact.<br/></p><p><br/></p><p>- Competitive compensation (up to ?1 Crore fixed + equity options for ideal candidates).<br/></p><p><br/></p><p>- Fast-paced, entrepreneurial working culture with global ambitions.</p><br/></p> (ref:hirist.tech)