Manager – AI Productivity Engineer in Crawley
Manager – AI Productivity Engineer

Manager – AI Productivity Engineer in Crawley

Crawley Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Drive AI solutions from concept to integration, enhancing productivity across various business functions.
  • Company: Join Virgin Atlantic, a modern airline redefining travel with innovative technology.
  • Benefits: Enjoy competitive salary, hybrid working, and opportunities for professional growth.
  • Why this job: Make a real impact by embedding AI into live workflows and transforming business operations.
  • Qualifications: Experience in AI, automation, or software solutions with a focus on real-world impact.
  • Other info: Inclusive workplace celebrating diversity and supporting individual needs throughout the recruitment process.

The predicted salary is between 36000 - 60000 £ per year.

Location: Hybrid working, 3 days per week at VHQ, Crawley

Hours: 37.5 hours per week, full time

Contract Type: Permanent

Salary: Competitive

Closing Date: 23rd March 2026

We review applications on a first come, first served basis and may close the application window early if we receive a high volume of applications.

At Virgin Atlantic, we believe travel should feel different. Since day one, we have challenged convention and redefined what a modern airline can be. Today, as we continue to evolve into a more data and technology enabled business, we are investing in AI not as a trend, but as a practical driver of productivity, smarter decision making and meaningful change across our operation.

This is an individual contributor role. You will not be leading a large team, but you will operate with a strong project delivery mindset. You will be accountable for investigating, shaping and deploying AI solutions from idea through to integration, influencing stakeholders and driving outcomes across the business.

In a nutshell, AI only creates value when it meaningfully changes how a business operates. As our Manager, AI Productivity Engineer, you will embed directly within business domains to turn prioritised AI use cases into secure, scalable and integrated solutions. You will combine strong technical capability with deep curiosity about how AI can enhance performance across multiple functions, from Finance and People to Sales and Customer teams.

Working through our AI Ignite governance framework, you will take ideas that demonstrate clear strategic value and convert them into working, production ready solutions. Whether building agentic workflows, deploying enterprise AI applications or integrating tools through robust API architecture, your focus will be on pushing the dial on innovation while ensuring measurable business impact.

This is not a theoretical AI role. The challenge is integration. Connecting platforms. Embedding AI into live workflows. Ensuring enterprise standards are met. Delivering productivity gains that endure beyond the pilot phase.

Day to day:

  • Embed within business functions to identify high friction processes and prioritised AI opportunities
  • Translate approved AI Ignite use cases into defined technical requirements and delivery plans
  • Design, build and deploy AI enabled applications and agentic workflows using enterprise AI platforms
  • Integrate AI solutions into operational systems and enterprise tools through secure API architecture
  • Rapidly prototype, iterate and productionise solutions that deliver measurable productivity gains
  • Redesign workflows to reduce manual effort and cognitive load
  • Partner with Security, Architecture, Engineering and Data teams to ensure responsible and compliant deployment
  • Upskill colleagues and leave sustainable AI capability within the teams you support

About you:

  • Experience building and delivering AI, automation or software solutions that moved beyond experimentation and created real-world impact, whether in production environments, operational teams or scaled internal use.
  • Integration of AI tools or applications into broader workflows or systems (e.g. via APIs, orchestration frameworks or automation platforms), or the ability to clearly articulate how this would be approached.
  • Design of AI-enabled workflows, productivity tools or agent-based solutions that meaningfully improved how teams operate.
  • A track record of translating ambiguous business challenges into defined requirements, delivery plans and working solutions with clear success measures.
  • Understanding of enterprise security, governance and compliance guardrails, and the ability to design responsibly within them.
  • Effective collaboration with Engineering, Architecture, Digital or Data teams to embed solutions into complex ecosystems.
  • Comfort operating as a hands-on, technically accountable individual contributor with strong ownership from idea to outcome.

Be yourself – Our differences make us stronger. Our customers come from all walks of life and so do our colleagues. That’s why we’re proud to be an equal opportunity employer and actively encourage applications from all backgrounds. At Virgin Atlantic, we believe everyone can take on the world - no matter your age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs. We celebrate difference and everything that makes our colleagues unique by upholding an inclusive environment in which we can all thrive. So that everyone at Virgin Atlantic can be themselves and know they belong.

To make your journey with us accessible and individual to you, we encourage you to let us know if you’d like a little extra help with your application, or if you have any individual requirements at any stage along your recruitment journey. We are here to support you, so please reach out to our team, feeling confident that we’ve got your individual considerations covered.

Our recipe for Leadership: At Virgin Atlantic, our leaders empower teams to thrive through collaboration, innovation, and excellence. Explore our Leadership Recipe and discover the 20 core ingredients that define what it means to lead with us, driving our mission to be the most loved travel company and achieve sustainable profit.

Want to learn more? Click Apply.

Manager – AI Productivity Engineer in Crawley employer: Virgin Atlantic Airways

At Virgin Atlantic, we pride ourselves on being an innovative employer that champions diversity and inclusion while fostering a collaborative work culture. As a Manager – AI Productivity Engineer, you will have the opportunity to work in a hybrid environment at our vibrant VHQ in Crawley, where you can contribute to meaningful AI projects that drive real-world impact across various business functions. With a strong focus on employee growth, we offer continuous learning opportunities and a supportive atmosphere that empowers you to thrive and make a difference in the travel industry.
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Contact Detail:

Virgin Atlantic Airways Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Manager – AI Productivity Engineer in Crawley

Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at Virgin Atlantic. A friendly chat can open doors and give you insights that might just set you apart from other candidates.

Tip Number 2

Prepare for the interview by diving deep into AI trends and how they apply to productivity. Show us your passion for innovation and how you can make a real impact at Virgin Atlantic!

Tip Number 3

Practice your storytelling skills. Be ready to share specific examples of how you've tackled challenges with AI solutions. We love hearing about real-world impacts, so make it memorable!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we review applications on a first-come, first-served basis, so get in there early!

We think you need these skills to ace Manager – AI Productivity Engineer in Crawley

AI Solutions Development
Integration of AI Tools
API Architecture
Workflow Design
Project Delivery Mindset
Technical Requirements Translation
Collaboration with Engineering Teams
Automation Solutions
Data Analysis
Enterprise Security Understanding
Agile Prototyping
Stakeholder Influence
Problem-Solving Skills
Curiosity about AI Applications
Sustainable Capability Development

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with AI solutions and integration. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!

Showcase Your Impact: When detailing your past experiences, focus on the real-world impact of your work. We love seeing measurable outcomes, so include any stats or results that demonstrate how you’ve improved processes or productivity.

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your ideas are easy to understand. This will help us see your thought process and how you approach challenges.

Apply Early!: Since we review applications on a first come, first served basis, it’s best to get your application in as soon as possible. Head over to our website and submit your application before the closing date to increase your chances!

How to prepare for a job interview at Virgin Atlantic Airways

Know Your AI Stuff

Make sure you brush up on your AI knowledge before the interview. Understand the latest trends and how they can be applied in a real-world context, especially in operational settings. Be ready to discuss specific AI solutions you've worked on and how they made a tangible impact.

Showcase Your Integration Skills

Since this role focuses on integrating AI into existing workflows, prepare examples of how you've successfully connected AI tools with other systems. Be clear about the challenges you faced and how you overcame them, as well as the measurable outcomes of your efforts.

Be a Problem Solver

The interviewers will want to see how you approach ambiguous business challenges. Prepare to discuss how you've translated complex problems into actionable plans in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses effectively.

Emphasise Collaboration

This role requires working closely with various teams, so highlight your experience in cross-functional collaboration. Share specific instances where you partnered with engineering, architecture, or data teams to deliver successful AI projects, and how you ensured everyone was aligned towards common goals.

Manager – AI Productivity Engineer in Crawley
Virgin Atlantic Airways
Location: Crawley

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