Company:
CO2 AI
Location: Paris
Closing Date: 19/10/2024
Salary: £100 - £125 Per Annum
Type: Temporary
Job Requirements / Description
CO2 AI is an end-to-end sustainability management platform that enables complex enterprises to quickly and effectively drive sustainability at scale.
As a Solutions Architect, you will participate in pre-sales technical activities. You will ensure the successful evaluation and deployment of end-to-end data engineering pipelines that will be used by our most strategic customers to convert sustainability initiatives into action. Using your strong communication skills and technical expertise, you will design and deploy solutions that will be the bedrock of future expansion within our customers’ footprint.
WHAT YOU’LL DO (AND WHY IT MATTERS)
Work with your AE on new business by being the preferred technical advisor of your prospects and customers
Script, configure and deliver product demos tailored to your prospects and customers' needs
Run proof of concepts (POCs) showcasing the capabilities of CO2 AI sustainability platform
Collaborate with sales and product team to answer RFPs
Collect, map out and clean our clients’ data to make it digestible by the CO2 AI software
Document the end-to-end data process flow, continually looking for ways to improve the way we collect and process data
Create and refine our customers' carbon footprints
Work side by side with our customers to understand their businesses and build accurate business forecasts within the software
Contribute to identifying the best abatement levers enabling our customers to reduce their carbon footprints, and implement them within the software
Support clients' requests (which may include bugs or feature requests triage, in collaboration with the product and engineering team)
Represent the voice of your customer by collaborating with the rest of the customer success team
Help your customers maintain/upgrade their instances
Continually look for ways to improve and manage effective implementations and promote usage of our platform in your customer base.
Work closely with the Delivery team, ensuring we collect all key information and learn from every delivery
Help make a change within companies, and contribute actively to the fight against global warming
WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS)
2-5 years of experience as a data engineer / data scientist, in a customer-facing SaaS function, ideally in a high-growth environment
2-5 years of experience in Solutions Architecture/Engineering/Consulting (ability to listen to customer requirements, run pre-sales activities, whiteboard and propose architectures, with a very tech hands-on approach)
Bachelor’s degree in Computer Science or equivalent work experience, Masters degree preferred
Fluent in English
A genuine passion for working with data - collecting and cleaning data in a way that makes it ingestible by the software, grasping a variety of computer languages, including Python
An experience creating a carbon footprint for a client is preferred
Knowledge on climate accounting, GHG emissions/categories as well as Emissions Factors are preferred (or willingness to learn)
An interest in supporting clients in building their climate baseline, and identifying reduction opportunities
Your passion for climate challenges and your willingness to make a change
Dedication to teamwork, and getting things done together
Ability to adapt to new and dynamic environments - we are an early stage startup
Strong communication and presentation skills
WHERE YOU WILL BE BASED
Role based in central Paris (France). Flexible remote-work policy.
YOUR TEAM
In this role, you will report to the head of Customer Success. You will work closely with the whole Customer Success team, as well as our sales, product and engineering team.
RECRUITMENT PROCESS
Recruiter Interview
Manager Interview
Home exercise followed by a Presentation Panel
Final interview with CEO or COO
Please note that the order of interviews may be adjusted depending on team's availabilities to ensure a smooth recruiting process. We may request references.
We’ll do our best to make sure you get feedback within 4-5 days after each interview.
#J-18808-Ljbffr
Share this job
CO2 AI