Engineering Manager

Summary

Join Plain Concepts' international team as an Engineering Manager focused on AI and IoT solutions. Lead and build cutting-edge projects, bridging the digital and physical worlds. Work on complex challenges with brilliant minds, shaping impactful, real-world solutions using machine learning, edge computing, and sensor technology. Enjoy flexible work arrangements, either remote or in the office. Embrace an agile environment with cross-functional teams and full project ownership. Shape the future of AI and IoT with a driven team.

Requirements

• At least 3 years of experience as a Delivery Manager, Engineering Manager, or similar role in AI, IoT, or connected systems projects
• Proven experience managing client relationships and navigating stakeholder expectations
• Strong technical background in AI/ML (e.g., Python, TensorFlow, PyTorch) and/or IoT platforms (e.g., Azure IoT, AWS IoT, embedded systems)
• Solid understanding of scalable architectures, MLOps/DevOps practices, and cloud-native solutions
• Ability to read, write, and discuss technical documentation with confidence
• Strong analytical and consultative skills to identify impactful opportunities
• Agile mindset, always focused on delivering real value fast
• Conflict resolution skills and a proactive approach to identifying and mitigating risks
• Fluent English (MANDATORY)
• A true team player with a passion for innovation

Responsibilities

• Understanding the business and technical objectives of AI and IoT projects
• Leading multidisciplinary teams to deliver innovative solutions on time and within budget
• Maintaining proactive and transparent communication with clients, helping them understand the potential of smart technologies
• Supporting the team during key client interactions and solution presentations
• Designing intelligent architectures that connect devices, analyze data in real time, and generate actionable insights
• Collaborating with data scientists, ML engineers, and embedded systems experts to align solutions with client needs
• Ensuring the quality and scalability of deliverables across edge and cloud environments
• Analyzing system performance and recommending improvements using data-driven insights
• Providing hands-on technical guidance and mentorship to your team and clients when needed

Preferred Qualifications

Experience with data pipelines, sensor integration, edge computing, or real-time analytics is a big plus

Benefits

• Flexible schedule 35 Hours / Week
• Fully remote work (optional)
• Flexible compensation (restaurant, transport, and childcare)
• Medical and dental insurance (completely free of charge for the employee)
• Individual budget for training or equipment and free Microsoft certifications
• English lessons
• Birthday day off
• Monthly bonus for electricity and Internet expenses at home
• Discount on gym plan and sports activities
• Plain Camp (annual team-building event)
• Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees
• The pleasure of always working with the latest technological tools!