Manager- Engineering
As Manager - Engineering, you will lead teams responsible for maintaining and modernising web applications and software platforms, while integrating agentic AI capabilities into new and existing solutions. You will play a critical role in driving team cohesion, ensuring seamless application functionality, enhancing performance, and creating intelligent systems that can autonomously optimise business processes.
Working closely with product managers, data scientists, and engineers, you will help refine user requirements, deliver AI-driven features, and accelerate software development using generative AI tools.
- Lead a cross-functional, generative AI-focused software development team.
- Integrate LLM APIs into existing platforms to enhance user interactions, decision-making, and automation capabilities.
- Enhance applications with agentic AI capabilities to enable autonomous decision-making and improve business workflows.
- Work collaboratively across product, data science and engineering teams to develop AI-driven features and optimise system performance.
- Work collaboratively across product, data science, and engineering teams to develop AI-driven features and optimise system performance.
- Deploy and manage applications on cloud platforms, ensuring scalability, security, and reliability.
Stay current with advancements in LLMs, generative AI, and cloud technologies, and apply relevant innovations to improve platform capability and performance.
- At least 5 years’ experience in a senior delivery role.
- A degree in technology is preferable, but not essential if the experience criteria are met.
Essential
- Proven experience delivering complex software products or platforms.
- Proven experience delivering complex digital transformation programmes using Agile principles.
- Strong understanding of agile, lean, and flow-based delivery practices.
- Excellent communication and stakeholder management skills.
- Ability to analyse data and use metrics to guide decisions.
- Skilled facilitator able to lead discussions, workshops, and ceremonies.
Desirable
- Experience working in large, multi‑team environments or platform engineering settings.
- Familiarity with DevOps practices, CI/CD pipelines, and modern engineering workflows.
- Background in coaching teams in agile or flow-based methodologies.
- Ability to work with distributed or hybrid teams.
Essential Requirement
- Be self-motivated with a strong work ethic that can work with limited supervision.
- Adapt to a rapidly changing environment, think on their feet, and learn quickly.
- Have excellent communication and interpersonal skills, remain calm under pressure, and demonstrate sound judgement in complex situations.
- Be co-operative and collaborative, working towards common goals with others.
- Take an open and inclusive approach and be willing and able to interact internally and externally at all levels within the company.
- Have excellent verbal and written communication skills, with the ability to articulate complex ideas clearly and concisely.
- Work under pressure and prioritise effectively while managing multiple tasks at the same time.
- Be a competent user of IT, with good working knowledge of Microsoft packages and confidence in embracing new technology.
- Be an organised, proactive, and confident self-starter.
- Show a highly committed attitude.
- Be methodical and accurate, showing great attention to detail.
- Demonstrate teamwork by contributing actively to an environment in which colleagues work cooperatively with each other.
- Demonstrate Agile experience, including Agile Scrum methodology.