AI Product Owner

AI Product Owner

Edinburgh Full-Time 48000 - 84000 £ / year (est.) Home office (partial)
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Glasswall

At a Glance

  • Tasks: Lead the development of AI features in cybersecurity solutions and collaborate with cross-functional teams.
  • Company: Join Glasswall, a top-rated cybersecurity firm trusted by government and commercial organisations worldwide.
  • Benefits: Enjoy flexible working options, competitive salary, and comprehensive health benefits including mental health support.
  • Why this job: Be part of an innovative team shaping the future of AI in cybersecurity while promoting diversity and inclusion.
  • Qualifications: 3+ years in product management, degree in relevant field, and strong understanding of AI/ML concepts required.
  • Other info: We value diverse backgrounds and encourage applications from all candidates, even if not a perfect match.

The predicted salary is between 48000 - 84000 £ per year.

We are seeking an experienced and technically grounded Product Owner to lead the development of traditional software and artificial intelligence-based capabilities across our cybersecurity solutions. This role focuses on building trustworthy, explainable, and performant software and AI features—while ensuring compatibility with deployment environments that may restrict the use of cloud-based or internet-connected AI services.

You will collaborate closely with cross-functional teams to shape the roadmap and execution of offline machine learning models and governed AI capabilities designed for highly regulated environments. You will also play a key role in advancing adoption of the Model Context Protocol (MCP), ensuring model traceability, integrity, and accountability across all deployment contexts.

Responsibilities:

Product Vision and Strategy

  • Define and lead the execution of the product roadmap, ensuring that model development supports offline, on-premise, and air-gapped deployment scenarios.
  • Align AI feature development with customer requirements across government, critical national infrastructure, defence, and enterprise security sectors.
  • Track advancements in generative AI, transformer models, and autonomous agents, ensuring innovations are adaptable to disconnected and highly controlled environments.
  • Evaluate and prioritise AI initiatives based on ROI, commercial value, technical feasibility, and strategic alignment, ensuring focused investment in high-impact capabilities.
  • Conduct and synthesise competitor intelligence to identify industry benchmarks, gaps, and differentiators—informing both product positioning and long-term AI strategy.

Use Case Identification and Validation

  • Identify high-value software and AI use cases in the context of intelligent file protection and the broader cybersecurity landscape.
  • Validate feasibility with stakeholders, ensuring solutions are viable without reliance on cloud-based AI inferencing or LLM endpoints.
  • Gather and elicit model requirements from defined use cases to enable agile development, rapid feedback loops, and continuous iteration across the delivery lifecycle.

Collaboration with Data Science and Engineering Teams

  • Define model specifications, input/output schemas, and security constraints suitable for self-contained deployment.
  • Ensure models are lightweight, auditable, and performant in resource-constrained or offline systems.
  • Partner with engineering to deliver runtime-isolated, reproducible models that are easy to deploy, monitor, and update without connectivity.
  • Work closely with data scientists to define clear KPIs and success criteria—such as detection accuracy, latency, false positive/negative rates, explainability, and robustness—to determine what constitutes a production-grade, releasable model.
  • Align model performance goals with the operational realities of the deployment environment, ensuring practical thresholds for both effectiveness and maintainability.

Required Skills, Experience & Values:

The successful candidate will possess the following skills, abilities and experience:

  • 3+ years of product management or product ownership experience, ideally in AI/ML or data-driven products.
  • Degree in Computer Science, Engineering, Data Science, or a related field.
  • Solid understanding of AI/ML concepts, pipelines, and constraints.
  • Experience working closely with data science and engineering teams to deliver AI products.
  • Proven track record of managing product roadmaps, writing clear requirements, and delivering customer-facing features.
  • Strong analytical and problem-solving skills, with an ability to translate complex data insights into actionable requirements.
  • Excellent communication and stakeholder management skills.
  • Comfortable working in a fast-paced, iterative, and agile environment.

Preferred Experience:

  • Solid understanding of cyber security concepts such as threat detection, SIEM, anomaly detection, and incident response.
  • Experience with tools for tracking ML models in production (e.g., MLflow).

We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a checklist that exactly matches the job description. We want to help you grow, and in return, you help us grow into a stronger, more inclusive organisation.

About Us:

We didn’t start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitisation filters in the US Intelligence Community’s highly classified networks. We are rated #1 by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we’re trusted by commercial and government organisations around the world.

In June 2025 Glasswall officially entered a new era of growth and innovation having been acquired by the leading private equity firm, PSG Equity. This marks a significant milestone for our company—one that underscores the strength of our business, the dedication of our team, and the exciting potential that lies ahead.

With PSG’s strong track record of scaling high-growth cybersecurity and technology businesses, we are better positioned than ever to accelerate innovation, expand into new markets, and deliver even greater value to our clients, employees, and stakeholders.

Cybersecurity is a mission-critical field, and we’ve always believed that staying ahead means moving faster, continually adapting to meet new challenges and investing more boldly in the future. This partnership empowers us to do exactly that—while maintaining the same leadership, values, and commitment to excellence that have brought us this far

We’re excited for what’s to come—so now is a great time for you to join us on our journey.

Inclusion:

At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce.

One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across our business. Every six months we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better.

We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees.

We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business.

Work/Life Balance:

Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Salary and Benefits:

  • Glasswall offers a competitive salary.
  • Performance related bonus scheme.
  • We offer flexible and remote working options, with hybrid working from our Central London office.
  • Office travel and incidental WFH expense coverage.
  • 25 days holiday (plus public holidays).
  • Private Medical Insurance including mental health support and cancer care.
  • Enhanced sick pay.
  • Annual investment in training and professional development.
  • Company sponsored life, critical illness, and income protection insurance.
  • Contributory pension scheme.
  • Access to ‘salary sacrifice’ benefits such as Cycle to Work and Tech Schemes.

A successful candidate will live in the United Kingdom and is comfortable working from home with some meetings being held in the London office.

Glasswall is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

Application process:

Interested candidates can email jandersen@glasswall.com or visit http://careers.glasswall.com/ to apply.

AI Product Owner employer: Glasswall

At Glasswall, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Central London. Our commitment to employee growth is evident through our annual investment in training and professional development, alongside flexible working options that promote a healthy work-life balance. Join us to be part of a diverse team dedicated to advancing cybersecurity solutions while enjoying competitive benefits and a supportive environment.
Glasswall

Contact Detail:

Glasswall Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Product Owner

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and machine learning, especially in the context of cybersecurity. Being able to discuss recent trends or innovations during your interview will demonstrate your passion and knowledge in the field.

✨Tip Number 2

Network with professionals in the cybersecurity and AI sectors. Attend relevant meetups, webinars, or conferences to connect with industry experts. This can provide you with insights into the role and may even lead to referrals.

✨Tip Number 3

Prepare to discuss specific use cases where you've successfully managed product roadmaps or collaborated with data science teams. Real-world examples will help illustrate your experience and how it aligns with the responsibilities of the AI Product Owner role.

✨Tip Number 4

Research Glasswall's products and their approach to cybersecurity. Understanding their unique value proposition and how they integrate AI into their solutions will allow you to tailor your responses and show genuine interest in the company during interviews.

We think you need these skills to ace AI Product Owner

Product Management
AI/ML Knowledge
Cybersecurity Concepts
Stakeholder Management
Analytical Skills
Agile Methodologies
Technical Feasibility Assessment
Roadmap Development
Model Specifications Definition
Collaboration with Data Science Teams
Performance Metrics Definition
Competitor Intelligence Analysis
Use Case Identification
Communication Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in product management, AI/ML, and cybersecurity. Use specific examples that demonstrate your understanding of AI concepts and your ability to work with cross-functional teams.

Craft a Compelling Cover Letter: In your cover letter, express your passion for the role and the company. Discuss how your skills align with the responsibilities outlined in the job description, particularly your experience with offline machine learning models and your understanding of regulatory environments.

Showcase Relevant Projects: If you have worked on projects related to AI or cybersecurity, be sure to include them in your application. Highlight your role, the challenges faced, and the outcomes achieved, especially in terms of product roadmaps and stakeholder engagement.

Demonstrate Analytical Skills: Provide examples of how you've used analytical skills to solve complex problems in previous roles. This could include translating data insights into actionable requirements or evaluating AI initiatives based on ROI and strategic alignment.

How to prepare for a job interview at Glasswall

✨Understand the Product Vision

Before your interview, make sure you have a solid grasp of the company's product vision and strategy. Familiarise yourself with their cybersecurity solutions and how AI plays a role in enhancing these products. This will help you articulate how your experience aligns with their goals.

✨Showcase Your Technical Knowledge

As an AI Product Owner, it's crucial to demonstrate your understanding of AI/ML concepts and pipelines. Be prepared to discuss specific technologies you've worked with, especially in offline or air-gapped environments, as this is a key focus for the role.

✨Prepare for Collaboration Questions

Expect questions about your experience working with cross-functional teams, particularly data science and engineering. Have examples ready that showcase your ability to define model specifications and collaborate effectively to deliver AI products.

✨Highlight Your Problem-Solving Skills

The role requires strong analytical and problem-solving abilities. Be ready to discuss how you've tackled complex challenges in previous roles, particularly those related to AI initiatives and product roadmaps. Use specific examples to illustrate your thought process and outcomes.

AI Product Owner
Glasswall
Location: Edinburgh
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