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For Companies At a Glance
- Tasks: Lead and inspire a world-class engineering team while overseeing product innovation.
- Company: Join a leading product development team in Belfast during an exciting growth phase.
- Benefits: Enjoy a dynamic work environment with opportunities for career development and innovation.
- Why this job: Make a lasting impact on engineering culture and customer success in a fast-paced setting.
- Qualifications: 10+ years in software engineering with 5+ years in senior leadership roles required.
- Other info: Ideal for tech leaders passionate about AI/ML integration and scalable SaaS architectures.
The predicted salary is between 72000 - 108000 £ per year.
Enso Recruitment are currently recruiting on behalf of a leading product development team in Belfast as they seek to add a VP of Engineering to their team throughout a period of rapid expansion.
The Opportunity
Our client is looking for a VP of Engineering to lead, scale, and inspire a world-class engineering team. This role is both strategic and hands-on, responsible for delivering the next generation of their SaaS platform. As the VP of Engineering, you’ll oversee architectural decisions, product scalability, and AI/ML integration while working cross-functionally with product, design, and go-to-market teams.
Ideal for a tech leader who thrives in a fast-paced, mission-driven environment, this role offers the chance to make a lasting impact on product innovation, engineering culture, and customer success.
Key Responsibilities
- Leadership & Team Management: Lead, grow, and mentor a high-performing distributed engineering team. Define goals, manage performance reviews, and support career development. Drive recruitment efforts, from drafting job descriptions to conducting interviews. Foster a culture of accountability, innovation, and operational excellence.
- Technology & Delivery Oversight: Shape the technical roadmap, ensuring scalability and AI/ML integration. Provide hands-on guidance in sprint planning, backlog refinement, and daily standups. Oversee architecture, code quality, performance, and security standards. Promote engineering best practices including automated testing, documentation, and agile adherence.
- AI & Machine Learning Integration: Champion the integration of AI/ML into core products and workflows. Collaborate with product leaders to deliver robust, ethical AI-driven features. Drive innovation in AI-powered customer-facing solutions and internal tools.
The ideal candidate profile
- You bring expertise in: Leading diverse, distributed teams across geographies. Full-stack development and scalable SaaS architectures. Communicating technical ideas to stakeholders of all backgrounds. Agile/Scrum methodologies, continuous integration, and test automation.
- You have experience with: AI/ML product lifecycle and cloud-based infrastructure (preferably AWS). Tools and platforms like Git, CI/CD pipelines, containerisation, and message queues. Scaling platforms from startup through growth stages.
- Nice to have: Experience in developing AI-enabled go-to-market features. Familiarity with non-relational/NoSQL databases and AI compliance (e.g., data privacy, model governance). Domain knowledge in sectors such as cybersecurity, fintech, or enterprise SaaS.
Requirements
- Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).
- 10+ years in software engineering, including 5+ years in senior leadership roles.
- Proven success in leading high-impact engineering teams.
- Agile or Scrum certification preferred.
Contact Detail:
Enso Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President of Software Engineering
✨Tip Number 1
Network with professionals in the software engineering field, especially those who have experience in leadership roles. Attend industry events or meetups in Belfast to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your leadership style and experience during informal conversations or networking events. Be prepared to discuss how you've successfully led distributed teams and managed performance reviews, as these are key aspects of the role.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, particularly in relation to SaaS platforms. Being able to discuss recent advancements and how they can be integrated into products will demonstrate your expertise and vision for the role.
✨Tip Number 4
Prepare to articulate your approach to fostering a culture of innovation and accountability within engineering teams. Think of specific examples from your past experiences that highlight your ability to inspire and mentor others.
We think you need these skills to ace Vice President of Software Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in leading engineering teams, particularly in SaaS environments. Emphasise your achievements in scaling platforms and integrating AI/ML technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for technology and leadership. Discuss how your background aligns with the company's mission and how you can contribute to their product innovation and engineering culture.
Showcase Relevant Experience: When detailing your work history, focus on specific projects where you led teams or made significant architectural decisions. Use metrics to demonstrate your impact, such as improvements in performance or team efficiency.
Prepare for Technical Questions: Anticipate technical questions related to software engineering, AI/ML integration, and agile methodologies. Be ready to discuss your approach to problem-solving and how you manage cross-functional collaboration.
How to prepare for a job interview at Enso Recruitment
✨Showcase Your Leadership Style
As a VP of Engineering, your leadership approach is crucial. Be prepared to discuss your experience in leading diverse teams, how you foster innovation, and the methods you use to mentor and develop talent within your team.
✨Demonstrate Technical Expertise
You should be ready to dive deep into technical discussions. Highlight your experience with SaaS architectures, AI/ML integration, and any relevant tools or platforms you've used. This will show that you can not only lead but also contribute technically when needed.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making process. Think of specific scenarios where you had to make architectural decisions or manage a crisis within your team, and be ready to explain your thought process.
✨Align with Company Values
Research the company’s mission and values. Be prepared to discuss how your vision aligns with theirs, especially regarding product innovation and customer success. This will demonstrate your commitment to their goals and culture.
