Technical Lead - Mobility Analytics & Network Strategy

ePlane Company; Chennai District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

The ePlane Company in India is seeking a Technical Lead for Mobility Analytics & Network Strategy to build demand models and network-level analytics for aviation mobility platforms.

You will lead quantitative forecasting across geographies, shaping Go-to-Market strategy, pricing considerations, and integration with ride-hailing and aviation data. Ideal candidates have deep experience in high-frequency mobility networks and optimization frameworks.

Qualifications

• 7+ years of professional experience in ridehailing demand modelling or airliners.
• Proven track record in Demand Modeling and network-scale balancing.
• Understanding of fundamental data structures.
• Experience with optimization frameworks and NLopt/Ceres/g2o.
• Statistical modelling and regression analysis skills.
• Experience with Monte Carlo simulation or probabilistic forecasting.

Responsibilities

• Build and own complex, multi-modal demand models to simulate passenger flow and fleet dynamics.
• Forecast market penetration and route-specific demand using historical data and external variables.
• Analyse market share dynamics and pricing strategies from airlines and ground transport.
• Define the Go-to-Market geographical sequence based on data-driven demand clusters.
• Maintain the highest standards for code quality, including code reviews, unit tests, and documentation.

Skills

Demand modelling

Optimization

Statistical modelling

Regression analysis

Monte Carlo

Data handling

Tools

NLopt

Ceres Solver

g2o

Job description

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.

About The ePlane Company

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.

Chart the Course for the Future of 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

Roles and Responsibilities

• 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.

Requirements

Required Qualifications

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

Preferred Qualifications

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

What We Offer

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