Role : Engineering Manager - AI & Data | Bangalore
About Us :
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.
Role Overview :
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.
Key Responsibilities :
1. 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.
2. 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.3. 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.4. 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 :
1. 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.2. 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.(ref : hirist.tech)