We are looking for a Head of Engineering who combines deep technical expertise with strong leadership and management skills. You will lead the engineering team to deliver high-quality, scalable, and innovative software solutions. You will set the technical vision, guide the development of our SaaS product, and ensure that the engineering team collaborates effectively across product, design, and other functions. This role will report into the Senior Director of Product, Tech and Data.
In this role, you will drive:
Technical vision and strategy: Establish the long-term technical vision and roadmap that aligns with the business goals, customer needs and product vision of the company. Make technical decisions and advise the team on the software development approach to take, considering trade-offs between the approaches and mitigating known drawbacks
Team leadership and development: Lead, mentor, and grow a diverse team of engineers across frontend, backend, DevSecOps, data, and analytics. Foster a culture of continuous learning, experimentation, and improvement. Identify skill gaps and oversee team training and recruitment efforts.
Cross-functional collaboration: Work closely with Product, Customer Success, Sustainability, and Solution Engineering to align on feature prioritization and roadmap execution. Collaborate with Design to ensure a seamless user experience with intuitive user flows and consistent design throughout the product.
Software development and project management: Plan and manage the engineering scope, schedules, and quality for each feature and release. Ensure timely and efficient execution across the product lifecycle.
Technical excellence and delivery: Build and maintain a scalable, high-quality codebase, enforcing coding standards, testing practices, and quality assurance processes, and managing technical debt. Conduct peer code reviews and provide hands-on technical guidance. Streamline workflows by integrating software engineering, quality assurance, DevSecOps, and MLOps frameworks, guidelines and processes into software development activities
Security and Compliance: Ensure secure coding and existing software development lifecycle guidelines and standards are met. Work with Legal and IT support to ensure the platform is secure and complies with security standards such as ISO 27001 and SOC
Monitoring and Incident Management: Set up advanced logging and alerting systems to detect and resolve bugs proactively. Develop an incident response plan and lead technical resolution when incidents occur to minimise downtime and impact to customers.
Infrastructure and Performance: Design and maintain an architecture that supports scalable growth and high availability. Effectively manage cloud infrastructure, and develop strategies to minimize cloud spending, optimizing resource allocation and infrastructure costs. Track and optimise SaaS metrics, such as uptime, response time, latency, and system performance, ensuring a seamless and efficient experience for customers.
Process improvement and innovation: Evaluate and select third-party tools, platforms, and services (e.g., databases, monitoring tools, security services) that can help accelerate development while maintaining cost-effectiveness. Stay up to date with industry trends, new technologies, and best practices to improve software development processes. Identify opportunities to optimize processes and implement best practices for industrialising AI and machine learning
To succeed in this role, you need to have/ be:
Bachelor s or Master s degree in Computer Science, Engineering, Data Science, or a related field.
Minimum 10+ years of experience in software development, with at least 5 years in leadership roles managing high-performing distributed engineering teams.
Prior experience in startups and working with remote teams
Experience developing a B2B/ Enterprise-grade SaaS platform
Hands-on technical skills and good competency in the following: (1) JavaScript and React to build scalable and modular web applications using module federations technique; (2) Server-side programming / building scalable web apps in Python; (3) Database technologies such as Microsoft SQL, Oracle, PostgreSQL, and MongoDB; and (4) Container orchestration technologies such as Docker, Kubernetes.
Familiarity with cloud services, especially in AWS
Experience with Agile methodologies
Proven track record of people management and being able to develop individuals careers and motivation to achieve team s outcomes
Excellent communication and stakeholder engagement skills
Data-driven with strong analytical and prioritization skills
A self-starter with a growth-mindset and proactiveness in working independently to drive toward achieving results
It will be great if you are/ have:
An entrepreneurial problem solver comfortable in managing risk and ambiguity
Experience in AI-related technologies, AI/ML, Data Science, and scaling data science components in production