Top Tech Jobs & Startup Jobs

Lead and scale a service team to run day-to-day EV two-wheeler workshop operations, oversee diagnostics, repairs and preventive maintenance, manage spare-parts and vendor relationships, track SLAs and metrics, drive process improvements, and collaborate with Ops, Product and Supply Chain to maximize fleet uptime and reduce costs.

Lead and manage 3W cluster operations, ensuring fleet utilization, vehicle uptime, hub and route management, team leadership, vendor coordination, KPI tracking, compliance, process improvements, and support for business expansion and profitability.

Source and onboard delivery riders by generating leads from open markets, listing them on partner platforms, evaluating and managing field service partners, and improving rider efficiency and grievance redressal.

Lead city operations end-to-end: build and manage the operations team, analyze market and competitor dynamics, drive business development, monitor KPIs, track daily metrics, and resolve operational issues to meet client and commercial goals.

Lead franchise expansion by sourcing, acquiring, onboarding, and scaling franchise partners across cities. Manage full sales cycle, negotiate agreements, coordinate cross-functional launches, drive revenue and partner performance, and track KPIs using CRM.

Lead management of spare parts lifecycle: inventory control, demand forecasting, procurement, vendor relations, stock replenishment, distribution to maintenance teams, cost optimization, KPI monitoring, and process improvements to ensure equipment availability and minimize downtime.

Lead B2B sales and revenue growth by acquiring and managing enterprise clients, OEMs, and fleet operators. Build strategic partnerships and franchise networks, ensure client onboarding and retention, collaborate with product and operations to improve customer experience, track KPIs, drive process improvements, and recruit and lead high-performing teams to scale the FleetEase.ai platform.

Extract, clean, and analyze large datasets using SQL and Python; build dashboards and visualizations; provide insights to Tech, Product, Operations and Business teams; write optimized SQL; use Python libraries for automation and analytics; ensure data accuracy and optimize workflows.

Analyze complex datasets to identify trends and growth opportunities, develop data acquisition and integration strategies, build reports and interactive visualizations, maintain databases, and support stakeholders with actionable insights and data-handling best practices.