Schulering HUB Talking Hospitality Podcast

The episode delivers some substantive insights about hotel tech salary disparities, onboarding failures, and expectation-setting, but often retreads obvious HR wisdom (e.g., 'set expectations', 'be empathetic', 'ask behavioral questions'). The salary benchmark data itself is the strongest concrete insight, though much of the conversation devolves into general anecdotes about startup hiring mistakes and the need to train people. There's useful specificity in places (e.g., France salary variance €50k-€120k for same title, 90% negative feedback on AI hiring) but long stretches of filler and throat-clearing dilute the density.

“No one really knows what someone in a certain position, certain hierarchy, um, and department should be earning or what is the average earnings, uh, depending on the geography that you're in, the product that you work for.”

“Some companies are using uh, AI to hire people and I'd say 90% of uh, feedback I get from anyone in the process, whether they're a hiring manager or a candidate. A job seeker, huh, Is negative.”

The core argument - that hotel tech salary structures vary wildly by geography and product type, and that startups fail at onboarding - is useful but not particularly novel. The framing of expectation-setting as a solution to retention is sensible but well-worn advice. The 'human in the loop' AI concept is borrowed from Mihaly Boat. The strongest original contribution is the salary benchmark dataset itself, but the surrounding commentary largely recycles familiar HR and startup playbook talking points without substantial counterintuitive insight.

“If you want to attract and retain the best talent, being human, setting expectations and not sugarcoating the job will put you, will put you in the right direction.”

“It's all about expectation setting. Uh, so what I usually ask my clients to do is explain to them what the worst week looks like working for you because there will be some bad days.”

Edouard Clark has genuine operating experience: former rugby player, founded Student House (grew and sold it), worked in pre-opening roles at luxury hotels, hired for Numeo, co-founded Wondery, and now runs HospitalityTechJobs with data on real hiring. He has consulted with GAIN and brings hands-on recruitment and HR infrastructure experience. However, he's not a founder of a major hotel tech company, a 7-figure revenue operator, or a household name in the space. He's credible and relevant but more specialized practitioner than heavyweight strategist.

“he had his own hostel, the student house and he worked in HR across multiple positions”

“I, you know, I saw my, my father was always working for um, a very large ah, company...so I suppose for me that the biggest difference and the reason why we were specialists was because student tenants”

The episode includes helpful specific data points: salary ranges in France (€50k-€120k for same title), 500 survey respondents collected, NPS sentiment lower in hotel tech than hospitality ops, OTA sales roles pay most but have lowest morale, German-speaking sales roles hardest to fill, 200+ clients per customer success manager mentioned. However, many claims lack evidence: no breakdown of which specific hotel tech companies were surveyed, no NPS numbers provided, vague references to 'a lot of GMs' and 'clients I've spoken to,' and general patterns asserted without supporting data or named examples.

“you could be in France and you could have the title sales director, and you could earn either €50,000 as a basic salary or earn, uh, €120,000 as a salary.”

“We ended up just getting over 500 over a two to three month period.”

Host Mauricio asks some good follow-up questions (e.g., on geography variance, position types, onboarding gaps) and makes one astute observation about the 'biggest lie' of AI freeing people for guest interaction. However, many of his questions are basic setup prompts ('So Ed, it's like man, you have a very fantastic story') and he rarely pushes back or challenge claims. He allows Clark to meander without tight follow-ups, accepts anecdotes as evidence, and the conversation often feels like a vehicle for Clark's pitch for his recruitment business. There's minimal productive disagreement or skeptical probing.

“But what really calls my attention is that pro rugby and the student's house, right?”

“Do you know what? I believe that's the biggest lie in hospitality.”