Causiq careers
Causiq is a SaaS that uses AI to provide companies with a holistic view of marketing channel effectiveness. Measuring marketing effectiveness has become a serious problem for companies due to GDPR, walled gardens between advertising platforms, and tracking preventions in all major browsers.
We model marketing activities and their outcomes through machine learning and Bayesian inference. Through this, we can provide companies with insights about the effectiveness of their marketing efforts and identify ROI per marketing channel, every day.
During 2021 we started the company, onboarded our first eight medium-sized customers, validated / backtested our daily media mix model, set up clickstream analysis, customer success processes and finally published our first version of the app. (See causiq.com)
Because we're experiencing really strong traction right now, we're currently looking to strengthen the core team in preparation for our seed round during Q1-Q2 2022, recruiting for a number of positions, including fullstack engineer, backend engineer, ML engineer / data scientist, VP engineering, product manager, sales, etc.
We model marketing activities and their outcomes through machine learning and Bayesian inference. Through this, we can provide companies with insights about the effectiveness of their marketing efforts and identify ROI per marketing channel, every day.
During 2021 we started the company, onboarded our first eight medium-sized customers, validated / backtested our daily media mix model, set up clickstream analysis, customer success processes and finally published our first version of the app. (See causiq.com)
Because we're experiencing really strong traction right now, we're currently looking to strengthen the core team in preparation for our seed round during Q1-Q2 2022, recruiting for a number of positions, including fullstack engineer, backend engineer, ML engineer / data scientist, VP engineering, product manager, sales, etc.
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Henrik Feldt
Generalist as well as specialist in distributed enterprise systems, with 21 years of experience from building and scaling both technology and teams.
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