Head of Engineering
欢迎来到 MICE DESK MICE DESK 是欧洲领先的自动化酒店公司，我们现在正在扩展到美国。我们的平台 Rocket,转会活动，会议和团体查询以自主端到端工作流程：从 RFP 到签订合同，通过电子邮件，CRM 和 PMS 系统。我们与实际运行的系统集成酒店 Oracle OPERA 云，SIHOT,Ghostline,Salesforce,马里奥特企业堆 这意味着我们的工程师在真正的酒店运营中工作，而不是对沙盒 API 进行攻击。我们是一个 A 级系列的公司，有故意小团队和真正的企业吸引力：欧洲各大酒店集团在 Rocket 上运营他们的集团销售。现在加入的人塑造产品，部署玩法和文化。你拥有 MICE DESK 的工程角色。完全。没有 CTO 层在你上面我们的技术联合创始人正在进入 CPO 角色，工程方向，建筑，交付和团队是你的。你直接向创始人报告。这是一个实践领导作用：你将领导工程团队包括我们的 AI/数据功能，拥有产品界面，并负责所有货物。你将拥有的1.工程，端到端。建筑，系统设计，交付与路线图相比，可靠性和技术债务。后端，前端，DevOps,QA 以及 AI/数据团队都向你推进。你设定了轻量级的过程，使一个小团队快速运输而不会破坏东西。2.一个人工智能启用工程管道。我们不仅构建 AI 产品我们使用 AI 建造。你将推动工程组织本身成为人工智能原生：代理编码工作流程，人工智能辅助审查和测试，自动化一切重复。一支核心团队 [10]应该像30人的团队一样运输，这正是你的任务。3.作为系统能力。架构 LLM 和代理工作流程融入生产系统中的结构：结合确定性逻辑与人工智能生成的输出，并具有真正的验证，倒退和可靠性的策略。在我们的平台上运行的酒店业务非决定主义不是不值得信赖的借口。4.团队。招聘，导师和规模。你继承了一个强大的小团队，将其发展成拥有资产和速度文化的高性能工程组织。你也将拥有我们分布式招聘战略 [德国 + 阿尔美尼亚 确认]. 5.产品和商业配线。直接与公司合作。
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Welcome to MICE DESK
MICE DESK is the leading European company automating the sales process in the hospitality industry — and we are now expanding to the US.
Our platform, Rocket, turns event, meeting, and group inquiries into autonomous end-to- end workflows: from RFP to signed contract, across email, CRM, and PMS systems. We integrate with the systems hotels actually run on — Oracle OPERA Cloud, SIHOT, Guestline, Salesforce, Marriott's enterprise stack — which means our engineers work inside real hotel operations, not against sandbox APIs.
We are a Series A-stage company with a deliberately small team and real enterprise traction: major hotel groups across Europe run their group sales on Rocket. The people joining now shape the product, the deployment playbook, and the culture.
The Role
You own engineering at MICE DESK. Fully. There is no CTO layer above you — our technical co-founder is moving into the CPO role, and engineering direction, architecture, delivery, and team are yours. You report directly to the founders.
This is a hands-on leadership role: you will lead the engineering team including our AI/Data function, own the interface to Product, and be accountable for everything that ships.
What You Will Own
1. Engineering, end-to-end. Architecture, system design, delivery against the roadmap, reliability, and technical debt. Backend, frontend, DevOps, QA, and the AI/Data team all roll up to you. You set lightweight processes that make a small team ship fast without breaking things.
2.An AI-enabled engineering pipeline. We don't just build AI products — we build with AI. You will push the engineering organization itself to be AI-native: agentic coding workflows, AI-assisted review and testing, automation of everything repetitive. A team of [10] should ship like a team of 30, and making that true is your job.
3. AI as a core system capability. Architect the integration of LLMs and agentic workflows into production systems: combining deterministic logic with AI-generated outputs, with real validation, fallback, and reliability strategies. Hospitality operations run on our platform — non-determinism is not an excuse for unreliability.
4. The team. Hire, mentor, and scale. You inherit a strong small team and grow it into a high-performance engineering organization with a culture of ownership and speed. You will also own our distributed hiring strategy [Germany + Armenia — confirm].
5.Product and business alignment. Work directly with the founders and Product. Challenge requirements, simplify complexity, and connect engineering work to outcomes: revenue, automation, customer impact. As we enter the US market, engineering has to keep pace with enterprise-scale customers on two continents.
What Success Looks Like
- 6 months: Delivery is predictable, the AI-enabled dev pipeline is running, and the team has grown with A-players you hired.
- 12 months: The platform scales with US enterprise customers, core systems are reliable and observable, and engineering is a competitive advantage — not a bottleneck.
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Who You Are
Must-have
- 10+ years of software engineering, 5+ in engineering leadership at high-growth product companies
- Strong hands-on backend or full-stack background — you can still go deep
- Proven experience scaling engineering teams at Series A–C startups
- Strong architecture expertise: APIs, distributed systems, event-driven design, cloud
- LLM / agentic AI systems in production — and conviction about AI-assisted engineering itself
- Product mindset; you connect technical decisions to business outcomes
- Comfortable with ambiguity, speed, and full accountability
Nice-to-have
- Hospitality tech, CRM, PMS, or revenue management background
- Enterprise integration experience (Salesforce, Oracle OPERA Cloud, Microsoft Graph API)
- Experience leading distributed/international teams
Hiring Process
- Intro interview — background, leadership experience, motivation
- Technical & leadership deep dive — architecture, system design, team scaling, AI-native development
- Founder interview — product vision, ownership, long-term impact
Why MICE DESK
- Full ownership ofengineering at the European market leader, now going to the US
- Real enterprise integrations and real-world workflows — not a demo product
- A Series A company where your decisions shape the product, the architecture, and the culture
Originally posted on Himalayas