Engineering Manager AI & Automation
The Engineering Manager for the AI & Automation Squad is accountable for building and leading an engineering team that delivers scalable, secure, and business-driven AI and automation solutions across enterprise business applications.
- Lead and grow the AI & Automation engineering squad within the Business Applications Tribe.
- Own engineering delivery, technical quality, reliability, and operational excellence for AI and automation solutions.
- Establish modern engineering practices aligned with Enterprise Engineering, including a product mindset, DevOps, and platform thinking.
- Partner closely with Product Management, Business Application Leads, Architecture, Security, and Data teams.
- Drive adoption of AI, automation, and low-code platforms to improve efficiency and decision-making across the organization.
- Ensure solutions are scalable, compliant, and reusable across Finance, HR, and other business domains.
- Build, coach, and performance-manage engineers, including AI engineers, automation engineers, and low-code developers.
- Define the squad mission, roadmap, and technical priorities in alignment with tribe and enterprise strategy.
- Oversee the design and delivery of: AI-powered assistants and copilots, Process automation, including workflow automation, RPA, and orchestration, Intelligent integrations across Google, Microsoft Dynamics 365, Power Platform, and other enterprise systems
- Establish and enforce engineering standards for coding, testing, security, monitoring, and CI/CD.
- Embed responsible AI practices, data governance, and compliance into solution design and delivery.
- Manage dependencies, risks, and technical debt.
- Act as the escalation point for delivery, quality, and operational issues.
- Support hiring, onboarding, and capability development as the squad grows.
- Experience managing a team of 3 engineers, with plans to scale through hiring.
- Experience building automations and AI agents in enterprise contexts.
- 5+ years of experience in software or platform engineering roles.
- 2+ years of people leadership experience.
- Strong experience with enterprise business applications, preferably including: Microsoft Dynamics 365, including Finance, HR, CE, or Business Central
- Low-code platforms such as Power Platform, including Power Automate, Power Apps, and Copilot Studio
- Google AppSheet
- n8n
- UiPath
- Hands-on understanding of automation patterns, including workflow automation, RPA, and event-driven automation.
- Working knowledge of AI and ML concepts and applied AI in enterprise contexts.
- Experience operating in product-centric or platform teams.
- Solid grasp of cloud platforms, preferably Azure or AWS.
- Strong understanding of DevOps practices and CI/CD pipelines.
- Experience with API-based integrations and enterprise architecture principles.
- Experience working in regulated environments with security, privacy, and compliance requirements.
- Strong people leader with a coaching and growth mindset.
- Excellent communication skills across technical and non-technical audiences.
- Business-oriented thinking with the ability to connect engineering outcomes to business value.
- Comfortable navigating ambiguity and driving change in transformation environments.
- Collaborative and pragmatic problem-solver.
- Ability to influence without authority across tribes and functions.
- High ownership, accountability, and a bias for action.
Superbet, which operates under the Super Technologies banner, is a multinational sports betting and gaming group founded in 2008 in Romania by Sacha Dragic. Headquartered in Bucharest, it began with retail betting shops and has grown into one of the leading omni-channel betting operators in Central and Eastern Europe, with a strong focus on digital products. The group employs more than 5,000 people and operates across around a dozen European markets as well as Brazil. Its offices span Romania, Poland, Serbia, the UK, the Netherlands, Belgium, Spain, Croatia, Brazil, Malta and Gibraltar.
