Frontier R&D Manager

Frontier R&D Manager

Location: London, Dublin, Leeds (Hybrid). Reports to: Head of Disruptive R&D. Direct Reports: Prototyping Engineer, Research Graduate.

Responsibilities

• Lead and mentor the Frontier R&D team, setting priorities and ensuring delivery of high‑quality prototypes and research outputs.
• Transform early‑stage concepts into structured, demonstrable prototypes in close collaboration with the Head of Disruptive R&D.
• Conduct technology horizon scanning to identify emerging trends relevant to betting, gaming, and entertainment.
• Build and maintain relationships with technology vendors, research institutions, and innovation partners.
• Create compelling presentations and demonstrations for senior stakeholders and cross‑functional teams.
• Manage the team’s prototyping pipeline from ideation through to hand‑off for formal project development.
• Establish best practices for rapid prototyping using generative AI coding tools and modern development workflows.
• Valuate proof‑of‑concept outcomes and make recommendations on technology investment and adoption.

Qualifications

• Proven experience leading technical teams in R&D, innovation, or emerging technology roles.
• Strong software development background with hands‑on experience across multiple technology domains.
• Demonstrated expertise in machine learning, AI, or related computational fields.
• Extensive experience with generative AI tools for coding, content creation, and productivity.
• Ability to rapidly learn and apply new technologies, frameworks, and platforms.
• Excellent communication and presentation skills, translating technical concepts for diverse audiences.
• Track record of building relationships with external technology partners and vendors.
• Passion for emerging technology and a natural curiosity about future industry trends.
• Desirable: Experience in betting, gaming, or entertainment industries.
• Desirable: Familiarity with API integration, particularly in financial or betting contexts.
• Desirable: Knowledge of neural networks and deep learning architectures.
• Desirable: Experience with automated content generation pipelines.

Benefits

• £/€1,000 learning fund.
• Twice‑yearly bonus (with part of it guaranteed!).
• Unlimited holiday.
• Pension contribution scheme.
• Private healthcare.
• Hybrid working access to thousands of Udemy courses.
• Invest via the Company Sharesave scheme.

We’re working to be an inclusive employer.

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