Technical Lead - Mobility Analytics & Network Strategy

The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.

Lead the development to build demand modelling and network-level analytics that power mobility platforms. Ride-hailing platforms have solved route-level demand forecasting, origin-destination pair analysis, network elasticity, and real-time demand signal extraction at a scale that aviation market research has historically not looked towards. We are looking for someone who brings that analytical sophistication into the aviation context.

This position requires a deep quantitative background in high-frequency mobility networks (Ride-hailing/Aviation). You will be responsible for predicting the impact our aircrafts will have in different geographies and regions of the world. This position is a combined role between technical and strategy/BD 

• Build and own complex, multi-modal demand models to simulate passenger flow and network elasticity, and fleet dynamics.
  

• Utilize historical data and external variables to forecast market penetration and route-specific demand.
  

• Analyse market share dynamics and pricing strategies from traditional airlines and ground transportation.
  

• Define the Go-to-Market geographical sequence based on data-driven demand clusters.
  

• Maintain the highest standards for code quality, including conducting rigorous code reviews, developing comprehensive unit tests, and producing clear, thorough documentation.
  

• 7+ years of professional experience in ridehailing demand modelling or airliners with genuine depth in quantitative demand modelling 
  

• Proven track record in Demand Modeling and Supply-Demand Balancing at a network scale.
  

• Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
  

• Hands-on experience developing and implementing optimization-based solutions using libraries such as NLopt, Ceres Solver, g2o, or similar.
  

• Ability to oversee and peer-review high-complexity optimization frameworks
  

• Proficiency in statistical modelling with the ability to build and run regression models, not just use pre-built tools
  

• Comfort with large, messy, multi-source datasets
  

• Experience with Monte Carlo simulation or probabilistic forecasting
  

• Experience with modern software development methodologies, including Agile, CI/CD pipelines, and version control (Git).
  

• Experience with GDP-elasticity or econometric demand forecasting
  

• Rock-solid understanding of mathematics, particularly linear algebra, multivariate calculus, differential equations, probability theory
  

• Aviation industry exposure like airline revenue management, OEM market research, IATA economics, or aviation consultancy
  

• Familiarity with fleet databases
  

• Understanding of Multimodal Elasticity
  

• The opportunity to work on a groundbreaking product that will redefine urban transportation.
  

• A dynamic, fast-paced, and collaborative work environment with a brilliant and passionate team.
  

• Competitive salary and benefits.
  

• A culture of innovation where your ideas can directly impact the future of flight