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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 mission-driven 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 skills by sharing examples of how you've successfully managed and scaled engineering teams in the past. Be prepared to discuss specific challenges you faced and how you overcame them during interviews.
✨Tip Number 3
Stay updated on the latest trends in AI and machine learning, particularly how they can be integrated into SaaS products. This knowledge will not only help you in discussions but also demonstrate your commitment to innovation.
✨Tip Number 4
Familiarise yourself with the company's existing products and their technical architecture. Understanding their current challenges and opportunities will allow you to present tailored solutions and ideas during your interview.
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 leadership experience and technical expertise relevant to the role of VP of Engineering. Emphasise your experience with SaaS architectures, AI/ML integration, and team management.
Craft a Compelling Cover Letter: In your cover letter, express your passion for leading engineering teams and driving innovation. Mention specific examples of how you've successfully scaled platforms or integrated AI/ML in previous roles.
Showcase Relevant Achievements: Include quantifiable achievements in your application that demonstrate your impact in previous positions. For instance, mention how you improved team performance or delivered successful projects on time.
Highlight Soft Skills: As a VP, soft skills are just as important as technical skills. Highlight your ability to communicate effectively with diverse stakeholders and foster a culture of accountability and innovation within your teams.
How to prepare for a job interview at Enso Recruitment
✨Showcase Your Leadership Experience
As a VP of Engineering, your leadership skills are crucial. Be prepared to discuss specific examples of how you've led and mentored teams in the past, particularly in fast-paced environments. Highlight your approach to fostering a culture of accountability and innovation.
✨Demonstrate Technical Expertise
You’ll need to show a strong understanding of full-stack development and scalable SaaS architectures. Be ready to discuss your experience with AI/ML integration and how you’ve shaped technical roadmaps in previous roles. This will help convey your capability to oversee architectural decisions.
✨Communicate Effectively
Since you'll be working cross-functionally, it's essential to demonstrate your ability to communicate complex technical ideas to non-technical stakeholders. Prepare to share examples of how you've successfully bridged the gap between engineering and other departments.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills and decision-making process. Think about challenges you've faced in scaling platforms or integrating new technologies, and be ready to explain how you approached these situations and what the outcomes were.
