Vice President of Software Engineering

JR United Kingdom; Stoke-on-Trent; On-site; GBP 100,000 - 150,000; Full time

Job summary

A leading product development team is expanding and seeking a Vice President of Software Engineering based in Stoke-on-Trent. This pivotal role requires a tech leader to oversee both strategic initiatives and hands-on delivery towards enhancing their SaaS platform, including managing diverse engineering teams and facilitating AI integrations. Ideal candidates will combine technical expertise with strong leadership skills to drive innovation and operational excellence.

Qualifications

• 10+ years in software engineering, including 5+ years in senior leadership roles.
• Experience in AI/ML product lifecycle and cloud-based infrastructure.
• Proven success in leading high-impact engineering teams.

Responsibilities

• Lead, grow, and mentor a high-performing distributed engineering team.
• Shape the technical roadmap for scalability and AI/ML integration.
• Drive recruitment efforts and foster a culture of innovation.

Skills

Leadership

Full-stack development

Agile/Scrum methodologies

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

AWS

Git

CI/CD pipelines

Job description

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Vice President of Software Engineering, Stoke-on-Trent

Client: Enso Recruitment

Location: Stoke-on-Trent, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 1

Posted: 06.06.2025

Expiry Date: 21.07.2025

Job Description:

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.
• 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.