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Maxime Laharrague

Founder @SONAR | ex-Spotify

New York, New York

Overview 

Maxime Laharrague is the Founder and CEO of SONAR, with previous experience at Spotify as an Insights Manager and Data Scientist. Laharrague has a strong background in entrepreneurship, data analysis, and project management, with a focus on market analysis and product development in the technology industry.

Work Experience 

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SONAR

  • Founder & CEO

    2024 - Current

    The industry's most powerful artist discovery engine. SONAR transforms the scouting process for record labels, brands & agencies working with music talent, leveraging AI and predictive modeling to detect emerging artists with high growth potential. www.sonarlabs.io

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Antler

  • Founder in Residence

    2024 - 2024

    10-week residency program for entrepreneurs hosted by global VC Antler. Ideation, research, validation, MVP development & pitch sessions leading to investment committee.

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Spotify

  • Insights Manager

    2022 - 2024

    Managed curation & recommendation tools for Spotify’s editorial team (400+ editors globally). Designed a new financial model to reallocate payouts across music rightsholders. Built a predictive model to identify emerging artists with likelihood to break on platform.

  • Data Scientist

    2020 - 2022

    Built a forecasting model to predict label market share used in royalties calculations. Segmented new albums based on stream share patterns to predict future records. Ownership of key reporting deliverables & business critical pipelines.

  • Intern

    2019 - 2019

    Identified content gaps in music catalog by analyzing customer behavioral patterns influencing acquisition, activation & retention, leading to the curation of 100+ new playlists.

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Columbia Business School

  • Research Assistant

    2019 - 2019

    Monitoring, prediction and optimization of customer retention for NGO Save The Children in Denmark.

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Concord Advice, LLC

  • Data Scientist

    2018 - 2019

    Prediction of customer first payment default (FPD) from bank records to assess creditworthiness and predict risk of no return of potential borrowers.

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BEEBRYTE - Energy Intelligence & Automation

  • Engineer

    2018 - 2018

    Developed an innovative P2P energy trading and hedging model relying on Ethereum blockchain infrastructure, using price and load predictions as well as other criteria that influence trading decisions in the Singapore energy markets.

Exton Consulting

  • Strategy Consultant

    2017 - 2018

    Advisory and support over growth strategies, operational efficiency, merging and restructuring for major banks and insurance companies.

Education 

Articles About Maxime

Relevant Websites