Exciting Opportunity Ahead!!  Betsson Group is looking for a Head of AI to be based in our Malta Headquarters.

The Wow

We are seeking an experienced and visionary Head of AI to lead our AI initiatives across the company. This strategic leadership role involves establishing a Center of Excellence, promoting the integration and utilization of AI across the organization, spearheading innovative AI solutions, and enhancing our suite of products and services by embedding AI and machine learning to achieve company’s business outcomes supporting the accelerated growth pace.

A taster of what you will be involved with: 

• Strategic Leadership:
  • Develop and execute a comprehensive AI strategy that aligns with the company’s overall goals, drives innovation into company’s products and services and optimize our technology operations and development life cycle.
  • Stay updated on industry trends, emerging technologies, and best practices to inform strategy development and ensure competitiveness.
  • Direct the exploration and implementation of new AI technologies and methodologies, including Generative AI and MLOps.

• Team Building and Leadership:
  • Establish and scale a high-performing AI team, including recruiting and mentoring top talent.
  • Foster a diverse and inclusive team culture that values collaboration, innovation, and continuous learning.
  • Provide leadership, set clear performance objectives, KPIs and support professional development of the team
  • Serve as the lead point of contact across multiple teams, ensuring cohesive progress on AI projects

• Solution Development and Implementation:
  • Design and deploy a framework and a platform to leverage and standardize the utilization of AI and Machine learning across the company
  • Design and develop advanced machine learning models and responsible AI solutions to support real-time and very low latency applications.
  • Foster a culture of innovation and collaboration, working closely with product managers, engineers, and other stakeholders.
  • Continuously monitor and optimize AI models and algorithms to ensure they deliver accurate, reliable results.

What we are looking for

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• At least 5 years of experience in AI Field, have developed AI solutions and products, with significant experience in a leadership role within a high-growth AI environment. Proven ability to manage and scale AI teams and developing cutting edge solutions with AI and Machine Learning embedded for large and complex production environments with real time requirements. Demonstrated expertise in managing complex Data/AI/ML projects and delivering results in a fast-paced environment.
• Proficiency in AI technologies, event driven and real time data analytics environments, development and utilization of machine learning algorithms, MLOps, online feature stores for real time low latency applications, Generative AI Cloud Frameworks and Prompt/Agent Engineering
• Stay abreast of emerging trends and technologies in the AI and ML space to proactively implement improvements, suggest innovative ways and ensuring Betsson remains at the forefront of innovation in this dynamic field.
• Exceptional strategic thinking and problem-solving skills, with a robust understanding of business operations and market dynamics to innovate.
• Excellent communication and leadership skills, capable of inspiring teams and translating complex AI concepts into clear business strategies to be communicated to the C-Level Management and manage different stakeholders at different levels of seniority and skills.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

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Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands – including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field – most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Functions and Scope

This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows — built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job.

Commercial Operations & Optimisation

• Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels — doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them.
• Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves.
• Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow.
• Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual.
• Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending.

Workflow Architecture & Process Design

• Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable.
• Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric.
• Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required.
• Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively.

Agent & Automation Development

This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact — designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a professional context, this role is not the right fit.

• Lead the identification and scoping of agentic automation opportunities across commercial operations,this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.
• Own and build the full development lifecycle for commercial agents across all commercial operations,from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration. You are the builder, not the commissioner.
• Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent you deploy, and holding yourself accountable for what those agents produce at scale.
• Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals,treating deployed agents as live products that require ongoing maintenance and improvement, not finished projects.

Quality Assurance & Reporting

• Establish and oversee QA processes across all commercial operations workflows,including designing the human review layer that sits alongside AI-driven outputs, defining what requires sign-off before going live, and building the infrastructure to enforce that consistently.
• Generate, analyse, and present operational KPI reports to senior stakeholders,using AI-assisted tooling to automate data aggregation and surface anomalies, so that your contribution at the reporting layer is insight and recommendation, not manual data pulling.
• Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis, including honest assessment of where agents are underperforming, where outputs are drifting from expected standards, and what needs to be rebuilt or retired.
• Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others,not as a power user, but as the person who understands these platforms deeply enough to build production-grade commercial workflows on top of them, apply rigorous judgement to their outputs, and teach others how to work alongside them effectively.

Key requirements

Essential experience

• Experience in a commercial operations, revenue operations, or similar ops role,ideally within a digital media, affiliate, or multi-vertical online business
• You have built AI agents and shipped them into a live production environment,this is the baseline requirement for this role, not an aspiration. If your experience is limited to using AI tools, prompting chatbots, or working within workflows someone else built, this role is likely beyond where you are right now
• Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. You were the builder, not the person who commissioned or reviewed someone else's build
• Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working
• Track record of designing and documenting operational processes, playbooks, and performance standards,including documentation of how agents are expected to behave, what good output looks like, and where human review is required
• Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results
• Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually

You must be able to demonstrate, with specific examples, that you have:

• Built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it
• Designed prompt architecture for a production workflow,not just written prompts, but structured them as part of a repeatable, scalable agent build
• Integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow
• Identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome
• Established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently
• Iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project

Candidates who cannot provide concrete, specific examples of building and shipping agents will not progress past the application stage. This is a builder role,your portfolio of what you have built is the application.

Skills & capabilities

• Prompt architecture and agent design,able to structure AI instructions for production-grade reliability, not just one-off outputs
• Tool integration,comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build
• Commercial judgement,able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment
• Process design instinct,able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution
• Strong cross-functional communication,able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure
• Rigorous approach to AI output review ,understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly

Behaviours we're looking for

• You have shipped things,your instinct is to build a working version, get it into a live environment, and improve it from there rather than designing indefinitely
• You treat deployed agents as live products,you monitor them, catch when they drift, and fix them without being asked
• You apply structured commercial thinking to what you build,you're not building for technical elegance, you're building to remove manual effort and drive revenue outcomes
• You are honest about the limits of what you've built,you know where your agents are reliable and where they require human oversight, and you design for that honestly
• You communicate proactively with commercial leadership when something isn't working, an underperforming agent that goes unreported is a failure of this role, not just a technical issue

Nice to have

• Experience in the affiliate, igaming, media, or performance marketing sectors
• Familiarity with competitor analysis methodologies in a commercial context
• Exposure to product or engineering teams in a workflow or tooling capacity
• Experience building agents that operate across multiple tools or platforms simultaneously,multi-step, multi-tool agent architectures rather than single-task automations

A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling

Perks & Benefits

• Comprehensive private Healthcare Insurance
• Flexible work environment and home office available
• Home office allowance
• Gym & Leisure Allowance
• All the hardware and software you need to be successful
• Regular company events and social outings, activities, Spot Awards and a Monthly Social Club
• Access to courses for Personal and Career Development
• Company Paid Volunteer Day

The Product & AI Operations Specialist enables Product teams to adopt and embed AI into their everyday workflows.

The Wow

Working in close partnership with Product Operations and the Core AI and Engineering teams, the role focuses on operationalising AI for Product, shaping how product knowledge, inputs, decisions, and workflows are structured, governed, and made consumable by AI systems. 

The emphasis is on real impact: improving operational hygiene, reducing low value manual work, and enabling teams to work faster and more consistently, without adding process, overhead, or complexity. 

A taster of what you will be involved with: 

• Embedded within Product Operations, supporting Product, Design, and Research 
• Focused on execution and enablement, not AI or platform strategy ownership 
• Acts as a righthand partner to Product Operations for AI related initiatives 
• Bridges Product thinking with AI operational design and orchestration 
• Strong bias toward practical, repeatable solutions over theory 
• Focused on patterns and scalability rather than one off solutions 
• Measures success through adoption, usage, and workflow improvement 

What you will be involved with

• Supporting the identification and prioritisation of AI adoption opportunities across Product teams 
• Researching, testing, and validating AI tools to understand where they add real value to Product workflows 
• Designing and operationalising AI enabled workflows for activities such as documentation, planning, QA support, reporting, and reviews 
• Shaping how product knowledge, inputs, and decisions are structured, reviewed, curated, and maintained for AI consumption 
• Improving team hygiene through AI assisted summaries, insights, and structured outputs 
• Embedding AI into everyday product workflows, rituals, and tooling in a consistent and scalable way 
• Defining standards, patterns, and guardrails for how AI is used across Product Operations 
• Creating and maintaining Product side AI agents, prompts, and workflows at the operational layer 
• Partnering closely with Engineering and Core AI teams to ensure Product inputs are correctly structured for downstream AI workflows 
• Supporting approaches to tool ingestion, knowledge curation, and review processes, without owning underlying systems or platforms 
• Identifying reusable patterns and workflows that can be scaled across teams 
• Sharing learnings, patterns, and practical recommendations with Product Operations and stakeholders 

What we are looking for

• Experience working with AI, machine learning, or generative AI in practical, applied contexts 
• Strong understanding of product or digital delivery environments 
• Comfortable working with modern AI tools, platforms, and automation concepts 
• Ability to move quickly from idea to validated, repeatable operational solutions 
• Pragmatic mindset with a focus on what works in real world team settings 
• Hands on approach to designing, testing, and improving workflows and standards 
• Experience or interest in tools such as OpenAI, Microsoft Copilot, Claude, GitHub Copilot, Cursor, or similar 
• Strong problem solving skills and ability to translate business needs into operational solutions 
• Comfortable working across Product, Design, Engineering, and AI stakeholders 

Success definition

• AI is embedded into everyday workflows across Product teams 
• Low value operational tasks are reduced or automated at scale 
• Documentation, summaries, and reporting are consistently high quality and loweffort 
• Product knowledge and decisions are captured in clearer, more structured formats 
• Teams operate faster with reduced manual overhead 
• AI adoption increases without introducing additional complexity or process burden 
• Reusable workflows and patterns reduce duplication and fragmentation over time 

What this role is not

• Does not own core AI platforms or production systems 
• Does not replace Engineering, Data, or Core AI responsibilities 
• Does not independently develop or deploy production code 
• Focuses on Product Operations enablement, not technical delivery ownership

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

At Betsson Group, we're building the best native mobile experience in the iGaming industry — and we want you to be a key part of it. We’re looking for a QA Engineer (Mobile) to join our Mobile Apps team and play a central role in ensuring our apps are smooth, stable, and delightful to use. You’ll work in a collaborative, agile environment where ownership, innovation, and quality are at the heart of everything we do.

Challenge Accepted? 

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy