CTO wanted for E-Mobility AI smart charging B2B Startup

As part of the founding team, you are part of the board and partake in strategic decision making. You are here for a multi-year journey to transform both the mobility and energy sectors.
We are looking for a full-time data scientist and backend developer who can help us to develop the best algorithm and bring the algorithm to a webserver environment and enable a real-time interaction with the system. Ideally you can do both. If you can do either it is still interesting to apply.
In the beginning, the solution consists of an API for a charging station or a vehicle backend depending on the electric fleet use case. It will send start and stop requests based on a charging schedule that is computed by our algorithm that optimizes for the lowest electricity costs taking the mobility duty cycle, charging infrastructure, vehicles charging parameters, EPEX, grid services and possibly local PV system data. As every fleet managing company has different vehicles or charging stations have different backends new APIs will be coded for new customers.
In the medium and long term, we will not only interconnect to private charging stations but also public ones. We will coordinate the creation of a front-end app for users to insert their routes. We will suggest routes for the lowest electricity costs. Once vehicles allow to discharge the batteries, we will be able to trade electricity based on the forecasted mobility duty cycle, EPEX, grid and solar pv systems data.
This position will evolve in a team leadership role. You will hire and lead a team. The algorithm needs to be improved with the service. The optimal IT architecture according to the market restrictions and growth in different geographies and segments will have to be chosen. There will be customers, partners and investors meetings.

• Produktmanagement
• Data science and big data
• Backend Development
• Data science
• Backend
• Architektur

As part of the founding team, you are part of the board and partake in strategic decision making. You are here for a multi-year journey to transform both the mobility and energy sectors.
We are looking for a full-time data scientist and backend developer who can help us to develop the best algorithm and bring the algorithm to a webserver environment and enable a real-time interaction with the system. Ideally you can do both. If you can do either it is still interesting to apply.
In the beginning, the solution consists of an API for a charging station or a vehicle backend depending on the electric fleet use case. It will send start and stop requests based on a charging schedule that is computed by our algorithm that optimizes for the lowest electricity costs taking the mobility duty cycle, charging infrastructure, vehicles charging parameters, EPEX, grid services and possibly local PV system data. As every fleet managing company has different vehicles or charging stations have different backends new APIs will be coded for new customers.
In the medium and long term, we will not only interconnect to private charging stations but also public ones. We will coordinate the creation of a front-end app for users to insert their routes. We will suggest routes for the lowest electricity costs. Once vehicles allow to discharge the batteries, we will be able to trade electricity based on the forecasted mobility duty cycle, EPEX, grid and solar pv systems data.
This position will evolve in a team leadership role. You will hire and lead a team. The algorithm needs to be improved with the service. The optimal IT architecture according to the market restrictions and growth in different geographies and segments will have to be chosen. There will be customers, partners and investors meetings.

• You are a key part of a young and developing team in one of the fastest-growing markets.
• You significantly help to move the world to a better place.
• You shape a company early on.
• Based in Berlin but in the beginning, it can be elsewhere.
• This is a full-time position. Work hours are flexible but strong commitment is required.
• Commencement: asap.
• Shares to be negotiated.
• Salary will be paid as soon as we get funding (via grants or other means, expected in max. 4 months after you join).

RiDERgy maximizes synergies between renewable energies and e-mobility via a software powered by an AI algorithm, power and mobility data and APIs to steer EV fleet charging & discharging.

The product consists in a b2b software optimizing for the lowest charging costs for electric fleets using machine learning, data and REST APIs, interoperable protocols like OCPP and ISO15118 to steer the charging process. This is achieved by tapping into all the value streams of the electricity system while understanding all the mobility use cases’ parameters via GPS, battery SOC, driving behaviors and charging infrastructure (how many charging points, how much power per charging point, how much overall power per connection point). A good API documentation (as good as Stripe’s) achieves flexibility. The solution is for private and public charging.

Challenges

The next steps consist in getting some funding to get to MVP, then raise more funds to scale the customer base for private logistics fleets, deepen the electricity market revenue streams, then expand to other sectors and finally address public charging.

Target group

To start with our customers consist in fleet operating companies like last mile delivery companies with existing electric vans in Germany. We will expand to big company fleets, city fleets, public transport, ride-sharing companies in any country as long as there are value streams to be extracted by the country's electricity market by steering charging in time.