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Frederic BuhrFB

Frederic Buhr

Go-to-Market Strategy and Product Positioning

€650/day
1 project
Avignon, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Frederic


My ideal mission:Accompany startups and growth-stage companies in developing and executing go-to-market strategies for new AI products, particularly in complex or highly regulated sectors.

Target clients:AI and technology startups, SaaS companies, or any company launching AI-powered products requiring clear market entry strategies.

Why I'm the right choice:My experience at Quicktext, Drivata, Zubie, and RailEurope, where I managed international go-to-market strategies, demonstrates my ability to scale complex and innovative products and create effective market positioning.

  • English

    Native or bilingual

  • German

    Fluent

  • French

    Native or bilingual

Can work on-site
Avignon (up to 50km), Paris (up to 10km)

Experience

  • Apaleo GMBH
    GTM strategy for leading AI B2B Saas in Germany
    TECH
    April 2025 - October 2025 (6 months)
    Developed France market entry strategy playbook for leading AI powered PMS platform targeting mid-sized hotel chains and aparthotel operators
    Created beachhead segmentation strategy and competitive positioning for target personas and against incumbent players.
    Impact: Established foundation for French market penetration in highly competitive €27M TAM
    AI Product Marketing Marketing Strategy
  • Quicktext
    Transition CMO
    TECH
    January 2024 - Today (2 years and 5 months)
    Paris, France
    Transforming the marketing strategy of Quicktext, ranked #2 for AI leadership in France by a recent study. International leader of AI solutions for the hospitality industry (1700 clients, 76 countries served) :
    - Improving top funnel traffic, lead nurturing, lead qualifying and conversion via multiple acquisition channels.
    - Improving client journey to reduce friction at every touch point of the purchase cycle.
    - Raise awareness in 5 distinct markets in multiple languages.
    - Raise awareness for the brand in its market with partners and industry influencers.
    - Introduce tight collaborative process, more efficient tools for better collaboration between remote teams.

    Hubspot Marketing Strategy AI Lead Nurturing Channels Customer Journey Process Improvement
  • CMA CGM
    Malt logoOn Malt
    Data quality manager
    May 2023 - September 2023 (5 months)
    Marseille, France
    A very interesting mission that allowed me to be one of the main players in the largest CRM data quality campaign (Salesforce) launched by CMA-CGM. Including 55 countries covering 80% of customers, 2,000 employees trained and supervised across multiple time zones, half a million contacts processed to verify their completeness and accuracy. I ended up implementing an "execution mode" in the relevant departments to ensure that data quality remains at the highest level achieved during the campaign in all group agencies across 4 continents.
    Digital Transformation Business plan Project Management CRM Learning Management System Big Data Data Science Editorial Strategy Product Management

Reviews

5.0

Out of 1 rating

LéoL

Léo

CMA CGM

Reviewed on 11/29/2023

At the end of the mission, the global customer care manager shared this feedback : “I just want to take a moment to express our gratitude for the great work you've done. Your guidance on the project, the training, coordination and support played an instrumental role in helping CMA CGM getting started in the challenging task. We couldn't have achieved the results we have without you both. We wish you all the best in your future endeavors, and look forward for another time that the stars are aligned to have you on board once again. Big thanks. from all the Customer Care side and Everyone

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Education

  • Machine Learning foundations for Product Managers
    Duke University's Pratt School of Engineering
    2023
    Machine learning foundations for product managers provides an intuitive introduction to the theory behind machine learning. It covers several of the key algorithms used, including both the classical algorithms, as well as deep learning. And we'll discuss the process for building training, evaluating and interpreting machine learning models. how to implement the data science process to organize machine learning projects, team structure, how to overcome common pitfalls that make so many machine learning projects unsuccessful.
  • Digital Transformation: From AI and IoT to Cloud, Blockchain, and Cybersecurity
    Massachusetts Institute of Technology
    2019
    In a rapidly expanding digital marketplace, legacy companies without a clear digital transformation strategy are being left behind. How can we stay on top of rapid—and sometimes radical—change? How can we position our organization to take advantage of new technologies? How can we track and combat the security threats facing all of us as we are swept forward into the future?

Certifications

Skill set (48)

Categories