Engagement Manager

" We are looking for an Engagement Engineer to serve as the primary bridge between Aitomatic and one of our most strategic enterprise partners. This is a focused, high-impact role where you will be deeply embedded in the customer relationship — understanding their industrial operations, translating their challenges into AI-powered solutions, and ensuring seamless collaboration between the customer's team and Aitomatic's internal technology organization. This is not a generalist account management role. You will own the full engagement lifecycle for a single, high-value customer — from problem discovery and solution design through to deployment and ongoing success. About the Role: Serve as the single point of contact between the customer and Aitomatic's engineering and product teams, ensuring clear, consistent, and trust-based communication on both sides. Develop a deep understanding of the customer's industrial operations, business priorities, and AI maturity to proactively identify opportunities for impact. Translate complex customer requirements into precise technical problem statements and actionable solution roadmaps for Aitomatic's internal teams. Collaborate with other project managers of clients to manage roadmaps and deliverables. Oversee end-to-end project execution — including scope definition, milestone planning, risk management, and quality assurance — to ensure on-time, high-quality delivery. Act as a customer advocate within Aitomatic, ensuring product development and engineering priorities reflect real-world customer needs. Equip the customer with tailored technical guidance, training, and solution walkthroughs to drive adoption and maximize business value. Monitor engagement health, track key outcomes, and continuously surface insights to both the customer and internal stakeholders. What Makes You a Good Fit: Must-Have: Proven experience in customer success, technical account management, or engagement management within a technology company, preferably in AI, machine learning, or industrial software. Strong ability to build and sustain trust-based relationships with senior technical and business stakeholders on the customer side. Excellent communication and facilitation skills — equally comfortable in executive briefings and hands-on technical workshops. Ability to comprehend complex industrial or operational challenges and convert them into well-scoped, technically sound AI solution strategies. Solid understanding of AI/ML technologies, including system design, model deployment, and integration into operational environments. Strong project management discipline with experience coordinating cross-functional technical teams. Great-to-Have: Experience working with large enterprise environments, particularly in industrial manufacturing, aerospace, or building technologies. Proficiency in Python and common AI/ML frameworks; hands-on experience with cloud platforms (AWS, Azure, or GCP). Background in fast-paced, delivery-focused technology organizations or startups. Education: A Master's degree or higher in Computer Science, Computer Engineering, Physics, or a related discipline is preferred, with a specialization in AI, Machine Learning, or Data Science highly valued. Candidates holding a Bachelor's degree with substantial, relevant industry experience are equally encouraged to apply. Why you'll love working here An employee-centric culture that values the skills and abilities of our team members, providing them with the necessary tools and resources to excel in their roles and advance in their careers. A collaborative work environment that fosters teamwork, knowledge sharing, and innovation. Flexible working hours Attractive compensation and benefits commensurate with experience. Generous daily lunch allowance Overseas travel opportunities for training and working related, providing exposure to international projects and collaborations. Fun team activities & outings " #J-18808-Ljbffr