Jan 24, 2024
Remote in Europe
The fashion industry is responsible for approximately 5% of global greenhouse gas emissions (GHG). More and more companies are using Carbon Management Platforms to measure and create reduction plans. However, most of these solutions are generalist and, therefore, not tailored to fashion companies. Those companies indeed require detailed insights on the impacts of materials, manufacturing processes, or the “life cycle analysis” impact of its products.
This is why we developed Carbonfact, the only Carbon Management Platform dedicated to the textile and fashion industry. Our platform automates life-cycle assessment at the product level, enabling brands to gain a high resolution of their Scope 3 emissions and model out product-level change on the company’s broader environmental trajectory.
Brands and fashion groups from all over the world are already using Carbonfact (e.g. New Balance, Carhartt, Allbirds, APC, Armedangels, Happy Socks, etc.) and we raised $2 million from Y Combinator (Airbnb, Dropbox, etc), Alven (Dataiku, Algolia, Qonto, etc) and angel investors in 2021.
What you should be excited about
Working on climate!
First of all, we expect you’re excited about working on climate-change solutions and being part of decarbonizing the fashion industry! There are not that many actors that can help the fashion industry reduce carbon emissions and we believe Carbonfact can avoid hundreds of millions of tons of GHG every year.
We believe that a strong small team can achieve a lot. We knitted a team of committed people with experiences in multiple successful companies (Airbnb, Alan…) and brought the best practices and processes from those experiences to build the company. We are eager to share it with you, and learn from you.
There are many interesting challenges to solve on the Science side. Scaling Life Cycle Analysis (LCA) for our customers requires innovating on many fronts. It also requires a pragmatic mindset given the constraints our customers are operating with.
For instance we have developed an uncertainty metric that enables our customers to identify which data to collect first. We can also set Data Augmentation Rules that bulk update material processes or we use LLM to retrieve and match emission factors. There is a lot to build! Overall, we strongly believe in a multidisciplinary approach, combining LCA techniques with cutting-edge data science and engineering techniques.
Our company operating system
We have a hybrid and international company: part of the team meets weekly in our Paris office and a few team members are full-remote (Max in France, Lidia in Amsterdam).
We favor asynchronous and written communication (especially for knowledge management and decision-making) and use synchronous online or in-person communication for problem-solving and idea generation, and a few weekly meetings to maintain some bonding (less than 3h a week).
We complete that with 3 retreats a year where we gather the full team and use it as an occasion to create a stronger team bonding and work on the next 6 months' challenges.
We identify ourselves as idealist pragmatists. Our role is to give better information to fashion and textile companies so they reduce their emissions. To do so, we partner closely with our customers. That work can be grunt and tedious, but we believe it is our role and it is how we can effectively cut carbon.
Carbon above money
We founded Carbonfact to make a tangible impact. Capitalism, regulation, and software are tools. Our goal is decarbonization. As a result, we will always trade off carbon impact over short-term financial gains.
Carbonauts are shareholders. Not just employees. We act as company owners, constantly working to improve our customers' experience. We value accountability, rely on each other, and never drop the ball.
The carbon problem is complex. We bring simple solutions to our customers. We choose the most straightforward path. We avoid complications. We believe in the efficiency of small organizations.
We maintain a high bar in our communications. We write clearly and concisely. Our communication is easy to understand for both internal and external stakeholders, even when they have limited context.
We encourage a culture of feedback and a personal growth mindset. Being open to change and new ideas is essential. We run a complete performance evaluation based on peer feedback twice a year that allows team members to identify their strengths and areas for improvement.
What your role will be
You will take a key position in our early-stage team and grow the Science team from 1 to 10. You will closely work with Martin (Co-founder, leading Product & Operations), Max (Head of Data) and Romain (CTO & Co-founder).
Your end goal will be the same as everyone in the company: making our customers delighted and helping them reduce their environmental impacts.
Your responsibilities include:
- Guide the roadmap of our LCA and Carbon Accounting engines: collaborate closely with the engineering and data science teams to turn the latest LCA and Carbon Accounting methodologies into software. Simplify the complexity of LCA modeling to ease implementation and focus on the main impacts.
- Participate in the deployment of customers: accurately map emission factors derived from credible sources such as EF 3.1 and Ecoinvent, among others to concrete customer data. Partner closely with customers to enhance their data collection processes, reduce uncertainty, and improve the quality of their LCA outcomes.
- Elevate Carbonfact's Science leadership: stay at the forefront of scientific consensus regarding textile processes, encompassing both methods and summarizing the latest findings. Publish insightful research blog posts to share your findings and insights. Distill knowledge internally.
- Structure and grow the Carbonfact Science team: structure the department as it evolves (processes, documentation, routines, KPI). Hire and expand the Carbonfact science team.
What we are looking for
We're looking for a leader in LCA capable of translating the state of the art environmental science into software. Here is a list of key attributes we look for:
- LCA expertise: at least 5 years of working experience in LCA. Strong knowledge of LCA modeling, databases, and emission factors.
- Drive: you take ownership of your projects and do your best to get them to success.
- Customer-driven: you are focused on what brings value to the customers. You have experience managing stakeholders like customers or team members.
- Clarity: you have excellent written and oral communication skills. You turn complex methodologies into easy to understand specifications. You are fluent in English.
- Reliability: you can be trusted with your tasks, you collaborate effectively.
While we specialize in fashion and textile, an LCA experience in that industry would be a strong plus but is not mandatory.
Since the role involves partnering with data and engineering teams, programmatic knowledge is a strong plus (e.g: Python, Brightway, OpenLCA etc..).
Regarding location, we are looking for someone based in Europe with a preference for Paris or Amsterdam.
Work environment and compensation
We determine the compensation package (salary + equity) based on an internal grid which is shared with employees. At the time of hiring, we’ll determine your level based on the position, your track-record and experience. You will then be promoted to higher levels based on your performance and your impact on the company. Each level is associated with a predetermined compensation.
For this position, you can expect a salary between €60k and €80k depending on levels. You can also expect significant equity with employee-friendly exercise rights.
We'll cover 100% of your health insurance with Alan at the best coverage level.
How to learn more about us
- Check our team and our LinkedIn pages.
- Have a look at this interview of Marc on Fashionista and a post by Armed Angels about selecting us as their carbon footprint tool.
- Say hi and come take a coffee at our office in Paris, or let us know you want to join our next Climate Tech^2 meetup we organize from time to time!
Application and interview process
Before starting the process, we can have a 30’ call to ensure our searches align. Then, the interview process generally looks like this:
- Exploratory call: 60-75 min, visio, with Martin, to understand your motivations and make sure it fits with the position.
- Takehome challenge: we send you a prompt for a takehome test. It will take you a maximum of 3 hours to be completed in 48h.
- Onsite session: if you pass the takehome test, we would invite you for an onsite interview for half a day. There you will present your work to Carbonfact founders (1h) and have a principles interview (1h) to validate your fit with the company.
- Reference Calls: We will reach out to 3 persons you worked with and we identified together during the Validation Interview.