Engineering Manager [AI Business Features]
我们正在寻找一个实践的工程经理，用于 AI 商业功能 - 将企业和产品假设转化为生产人工智能特性。你将领导一个跨职能的工程团队，自主端到端提供，并直接与产品，数据和人工智能合作，以确定范围和优先级。这个角色需要足够的技术深度来审查建筑和挑战设计决策，而不是通过代理。团队在短周期内工作：假设进入生产，测量，然后扩展或放弃。期待广泛的举措组合而不是一个长期产品。等待你的挑战：· 领导团队通过招聘，规划，任务分解，流程改进和跨团队合作 · 从概念到生产的拥有并推动人工智能驱动产品的开发 ·确保强大的团队性能和可靠及时交付与产品和业务目标一致 · 与产品，数据和人工智能团队密切合作建立具有影响力的用户中心解决方案 ·同时保持高工程质量标准的复杂技术和产品挑战 ·塑造可扩展后端服务和集成的架构，设计和实施：·经验领先的工程团队 （招聘，开发，性能和交付管理）· 经验证明在 AI,ML 或数据驱动的工程环境中领导的团队；经验培训模型是一个优点 ·实践发展经验和独立验证技术决策的能力强大的技术背景 · 从概念到生产时建立基于人工智能的用户面向产品 （例如辅助器，建议或智能功能）,包括运行 A/B 测试 ·将模糊的业务和产品要求转化为明确的技术解决方案和优先事项的能力 ·强大的团队间沟通技能和与产品，数据，人工智能及业务利益相关者合作的能力 · B1级或更高的英语能力以有效地与国际团队协作 我们的工作方式：·创新精神：致力于创造性和开创性的解决方案 ·诚实反：重视公开透明的交流 ·支持团队：强大，协作的社区 ·庆祝成就：共同承认我们的胜利 · 高科技环境：一个由聪明和革命性的人组成的团队
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We are looking for a hands-on Engineering Manager for AI Business Features - the team that turns business and product hypotheses into production AI features. You will lead a cross-functional engineering team, own delivery end to end, and work directly with Product, Data, and AI on scope and prioritization. The role requires enough technical depth to review architecture and challenge design decisions yourself, not through a proxy.
The team works in short cycles: hypotheses go to production, get measured, and are then scaled or dropped. Expect a broad portfolio of initiatives rather than one long-running product.
Challenges that await you:
- Lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration
- Own and drive the development of an AI-powered products from concept to production
- Ensure strong team performance and reliable, on-time delivery aligned with product and business goals
- Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions
- Tackle complex technical and product challenges while maintaining high engineering quality standards
- Shape the architecture, design, and implementation of scalable backend services and integrations
What makes you a great fit:
- Experience leading engineering teams (hiring, development, performance, and delivery management)
- Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus
- Strong technical background with hands-on development experience and the ability to validate technical decisions independently
- Experience building AI-powered, user-facing products (e.g., assistants, recommendations, or intelligent features) from concept to production, including running A/B tests
- Ability to translate ambiguous business and product requirements into clear technical solutions and priorities
- Strong cross-team communication skills and ability to collaborate with Product, Data, AI, and business stakeholders
- English proficiency at B1 level or higher for effective collaboration with an international team
Our ways of working:
- Innovative Spirit: A commitment to creativity and groundbreaking solutions
- Honest Feedback: valuing open, transparent communication
- Supportive Team: a strong, collaborative community
- Celebrating Achievements: recognizing our wins together
- High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
- Relocation support to one of our hubs — Cyprus, Serbia, Spain or Georgia — with assistance for the employee and their family
- Flexible work from one of our offices or remote
- HealthcareCoverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation policy: 20 days of annual leave and paid sick leave
Originally posted on Himalayas