Bnberry
Technology
ProductManager-HospitalityTech
Neural analysis suggests this role is
optimal for Junior candidates.
“Product Manager - Hospitality Tech at Bnberry. Skills: Product Discovery, Hospitality Tech. The Product Manager will lead product discovery for a new AI-driven hospitality tech product, focusing on rapid experimentation and customer research to define what to build. This role involves understanding LLM capabilities and limitations to develop autonomous AI systems that build trust in high-stakes situations within the travel and hospitality industry.”
What You'll Achieve.
The focus is on impact and results, iterating until things work and delivering value through fast execution and ruthless prioritization.
Industry & Context.
rapid experimentation; customer interviews; assumption testing; MVP validation; learning from failures
This is a 0-1 product discovery role, not suitable for those seeking structured roadmaps. The ideal candidate thrives on discovering and defining new concepts like autonomous AI in a real-world industry.
What They're Looking For.
Must Have
Requires 3+ years of Product Management experience in B2B SaaS, with expertise in product discovery methodologies like rapid experimentation, customer interviews, assumption testing, MVP validation, and learning from failures. Must understand LLM capabilities and limitations (GPT-4, Claude, agent architectures) and have a bias toward action, preferring to learn from failed experiments. Skilled in qualitative and quantitative research.
Nice to Have
Experience building agentic AI products (systems that take autonomous actions) is a plus. Travel & Hospitality Tech Expertise is strongly preferred, including knowledge of hotel distribution, direct bookings, guest experience, or operational automation products.
What You'll Do.
The Product Manager will lead product discovery for a new AI-driven hospitality tech product
focusing on rapid experimentation and customer research to define what to build. This role involves understanding LLM capabilities and limitations to develop autonomous AI systems that build trust in high-stakes situations within the travel and hospitality industry.
How You'll Work.
Team & Collaboration
The role requires collaboration with founders and technical leadership, with autonomy to experiment and drive discovery.
Full Job Description
### Bnberry is transforming the $87 billion travel tech industry by changing how hotels and resorts connect with guests worldwide. We're seeking an ambitious Product Manager to shape the future of this space and lead impactful product launches. This is a 0–1 product discovery role. You'll spend most of your time figuring out what to build through rapid experimentation, not executing a known roadmap. You'll discover what hoteliers actually trust AI to handle, where the technology works and where it fails, and how to build autonomous systems that earn trust in high-stakes situations. There's no playbook. No competitors to copy. If you want structured roadmaps, this isn't it. If you want to discover and define what autonomous AI means in a real industry, keep reading. **What We're Looking For:** * **Entrepreneurial Mindset** — You turn problems into opportunities, take ownership, test ideas quickly, and always find a way forward. * **Results-Driven** — You care about impact, not process. You learn, measure, and iterate until things _work_. * **Strong Execution** — You move fast, prioritize ruthlessly, and deliver. You turn 4-month projects into 4-week wins. * **Solution-Oriented** — You don't stop at "it's impossible." You propose alternatives, build them, and make them happen. * **Resilience & Grit** — You stay hands-on when things get tough and thrive on challenges. **Requirements** * 3+ years of Product Management experience is B2B SaaS * Expert in product discovery—rapid experimentation, customer interviews, assumption testing, MVP validation, and learning from failures. You know how to figure out what to build when nothing is proven. * Shipped 0–1 products through strong product discovery. * Understand LLM capabilities and limitations (GPT-4, Claude, agent architectures). You know what's possible and can discover boundaries through experimentation. * Strong bias toward action: ship fast, learn from real usage, iterate. You'd rather learn from a failed experiment t
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