Employee breakdown
Marketing
50%
Tech
25%
Business development
25%
Humasana's team is a group of people bound by the same values: responsibility, results-oriented, communication as a driver of confidence, and the desire to surpass oneself. Diversity is at the heart of humasana, made up equally of men and women of 4 different nationalities. English is the official language at humasana! The team is structured into Marketing, Business Development, Operations, Product and Technology. The entire humasana team meets regularly for bonding routines: Tuesday lunch (to talk about everything but work ;) ), the monthly global meeting which often ends in an after-work party!
Marketing
50%
Tech
25%
Business development
25%
person in full remote
Under the responsibility of Soraya, the business developer team ("Partnership Managers") has the mission to create quality partnerships with brands and laboratories manufacturing health and well-being products. The members of this team are people who love the challenge, enjoy listening and convincing others! Responsibilities: Sourcing: find the best partners Daily prospecting: contacting partners Being a chameleon: listening, adapting, arguing to convince partners Negotiation: find the best partnership terms Reporting: reporting daily in the CRM Account management: being the partner of choice for partners on a daily basis Being an actor: finding solutions and suggesting ideas
Sarah, Partnership Leader France
The marketing team at humasana has two key objectives for the growth of the company:
Paul, Co-CEO and Co-founder
The team's role is to design and develop the best possible experience for our clients. This ranges from the structure of the website to all the tools we put in place to make life easier for humasana's clients, partners and collaborators. We develop mainly in Python, using the Django framework. We also have a lot of DevOps tools, a cloud infrastructure hosted by Azure and artificial intelligence tools, particularly for automated product processing and for the site's matching algorithm. The team is multidisciplinary: front and back office of course, but also data engineering and data science.