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Pierre Boettner
Problem solver, team and product builder
Pierre Boettner is an experienced executive with a diverse background in the software industry and hospitality sector. He has over 20 years of corporate and Silicon Valley experience in software development.1 Currently, Pierre is self-employed and describes himself as a problem solver, team builder, and product builder.6
Professional Background
Pierre's career has included significant roles in the hospitality technology space. He has been a leader in boutique hospitality and an advocate for independent hoteliers and travelers seeking authentic boutique lifestyle experiences.2 His experience also extends to working with machine learning technologies, which he encountered during his time at Nor1 in California.5
Recent Career Developments
In late 2023, Pierre made a significant career transition:
- He decided to shut down RationalAI, a company he was involved with, describing it as a difficult but not regrettable decision.4
- Following this, Pierre took a sabbatical, which he viewed as a privilege and an opportunity for reflection.3
- In December 2023, he announced that he was open to new opportunities, seeking support from his network for connections and advice.7
Skills and Expertise
Pierre's LinkedIn profile suggests he has expertise in:
- Software development
- Team leadership
- Product building
- Problem-solving
- Hospitality technology
- Machine learning and AI applications
Pierre Boettner's professional journey reflects a blend of technological innovation and hospitality industry knowledge, positioning him as a versatile executive in the intersection of these fields.125
Highlights
Final thoughts from a sabbatical
Being able to take time off, as I could, was a real privilege. I never thought it would be this long, nor did I think it would be as profound. I feel fortunate to have had the means, the environment, and the friendships that made it possible. And yet I would never have guessed that it would lead me back to a distant past. There have been ups and downs during that time and, as they say, failure precedes deeper learning. When I moved to California to join Nor1, machine learning was in the midst of the same hype cycle we see with AI today. Working alongside some of the most talented young minds, brillant in the space, sharp, and witty, taught me much about some of the most basic principles, many that, as I see it now, we keep forgetting. Some of the most important work we pursued was finding the signals, the ‘right’ information in what was already a sea of noise. Convinced of our approach, when we couldn’t identify what we sought, we went to collect more, even exotic data. Yet every experiment showed us that the transactions were better predictors than all of the logs, zip code data, social media interactions, or whatever else we would get our hands on. Instead of focusing on the human aspect that stared right at us, we would drown ourselves in a sea of meaningless information. Decades before, I realized that I could make better money, a whole lot more that is, getting paid under the table. As a young bartender in those clubs and bars that were barely concealed laundromats for the shadier world of drugs and prostitution, I got to meet folks from all walks of life - from respectable CPAs to failed musicians to the occasional up and coming politician that just couldn’t resist returning to the scene. Any self-respecting bartender recognizes in a glimpse, the motives, the pains, the humanity of whoever comes in. That bartender's view, arranged in a few elegant lines of code, was the secret behind ROOMDEX personalization engine, and performed well enough to compete with some of the best. The relentless invasion of everyone's privacy was never needed. In the end, our ‘hottest startup’ didn’t make it - too big were our philosophical differences, and maybe the time for startups is gone for good. What I do know is that software development has become overly complex, bloated, and barely functional. When I started my second career after graduating from EHL, many companies were moving away from their own software development. Now, over four decades later, I believe it is time to in-house R&D again. To own one’s own destiny and be prepared for change so monumental that no amount of planning will allow predicting its impact. Be nimble and focused on what is real - and in the process, recover the elegant simplicity we lost somewhere on our path into the digital age.
Exciting times!
