Product.

A global leader in the social casino and iGaming sector is expanding its presence in Europe and seeking a Project Manager to drive the launch of a brand-new iGaming brand. This is a pivotal opportunity to build the operational and technical foundation for a major market entry. Position Overview In this role, you will oversee the end-to-end delivery of a new brand launch, managing project scope, timelines, integrations, and stakeholder alignment. You will act as the central point of communication between business teams, external vendors, and technical development units—ensuring seamless execution from planning to Go-Live. Main Responsibilities New Brand Launch Lead the full lifecycle of the new brand project from planning to launch. Define project scope, objectives, and milestones with senior stakeholders. Develop detailed project plans and ensure deadlines are consistently met. Identify risks early and implement mitigation strategies to ensure smooth delivery. 3rd-Party Integrations Manage evaluation and onboarding of key third-party systems including PAM, CRM, Wallet, and Operations tools. Oversee vendor relationships and verify alignment with SLAs and technical requirements. Coordinate API integrations to ensure smooth communication between platforms. Cross-Functional Collaboration Serve as the bridge between stakeholders, internal teams, and external development partners. Translate business requirements into technical specifications and clear user stories. Ensure alignment between the Malta office and international headquarters. Remove blockers, resolve conflicts, and support productive team workflows. Qualifications 5+ years of experience as a Project Manager in the IT industry. Strong background in iGaming (highly preferred). Understanding of UKGC-compliant casino/sportsbook systems, including PAM, Wallet, and CRM tools. Fluent English with excellent written and verbal communication skills. Solid understanding of technical architecture and API integrations. Strong analytical and problem-solving mindset. Preferred Qualifications Experience launching brands using White Label PAM solutions (e.g., Pragmatic Solutions, Playtech, Light & Wonder). Proficiency with project management tools such as Jira and Confluence. Knowledge of regulatory frameworks (UKGC, MGA, SGA, AGCO, DGOJ). Based in Malta or eligible to work there.

My client is transforming customer service across gaming and sports through industry-specific AI, partnering with major operators to deliver intelligent automation that elevates  player experience and drives operational efficiency. As they expand their global delivery footprint, my client is seeking a Senior Product Manager to anchor U.S. product operations and help translate vision into execution for their next-generation AI platform. The Role This is a hands-on, delivery-focused product leadership position based in the New York / New Jersey area (hybrid model, minimum three days in office). You will coordinate roadmap execution across distributed AI and engineering teams, ensure alignment and quality, and help convert founder-level strategy into tangible product outcomes. Working closely with senior leadership and global engineering teams (US, UK, APAC), you’ll drive prioritization, execution, and release readiness for complex AI-driven products. Key Responsibilities Translate strategy into execution: Convert leadership vision into quarterly plans, milestones, and measurable outcomes. Own roadmap delivery: Manage backlogs, sprint priorities, and release schedules across multi-timezone teams. Champion product quality: Collaborate with QA and Engineering to meet AI accuracy, reliability, and UX standards. Monitor AI performance: Partner with Evals/QA teams to track hallucination incidents and model consistency. Stay customer-aligned: Work with Customer Success and POC teams to integrate customer insights into product decisions. Drive impact with data: Use performance metrics and AI evaluation data to influence roadmap and prioritization. Run discovery sprints: Validate new features, integrations, and AI enhancements through structured research and testing. Report clearly: Provide concise, structured delivery updates and surface risks or trade-offs to leadership. About You A structured, execution-focused product leader who thrives in fast-moving environments and is passionate about building scalable AI-driven products. Requirements 5+ years of Product Management experience (SaaS, gaming, AI, or related tech). Strong background in agile delivery and cross-functional collaboration. Experience working with distributed engineering teams across time zones. Familiarity with QA processes and AI evaluation frameworks. Data-driven mindset with the ability to translate metrics into product decisions. Excellent communication and stakeholder-management skills. Bonus Skills Experience with CRM, customer service, or messaging-platform integrations. Interest in iGaming, sports, or AI innovation. Why Join? Influence the next generation of AI-powered customer engagement in gaming and sports. Collaborate with global teams across the US, UK, and APAC. Work directly with founders and senior technical leaders driving real AI innovation. Competitive compensation, performance incentives, and potential equity participation.

My client is a leading provider of AI-powered customer service tools, specializing in sports betting & gaming sector. They partner with global operators to deliver intelligent, automated support that enhances player experience and operational efficiency. They are now expanding the U.S. engineering capability to support client integrations and AI performance excellence across the region. Why Join? · Be part of the team shaping the future of AI-driven customer service in gaming and sports · Work directly with world-class engineers, data scientists, and product leaders · Blend hands-on technical work with strategic product impact · Competitive salary, performance incentives, and potential equity participation · Fully remote work options available within the U.S. The Role: This role is primarily a full-stack developer position, with a strong focus on AI evaluation and client integration. You’ll work closely with Product, Engineering, and Client Solutions teams to: · Deploy and integrate the AI platform into client stacks · Build, test, and monitor custom connectors, APIs, and data flows · Design and automate evaluation systems to measure and improve AI response quality · Contribute directly to the continuous improvement of the AI and platform architecture This role is ideal for a technically versatile engineer who enjoys working across code, data, and AI quality systems and who thrives in a fast-moving, high-impact environment. Key Responsibilities: Client Integration & Engineering · Prompt engineering (design and implement client specific prompts) · Model selection (evaluation and selection of LLM configurations for client specific context) · Build and maintain integrations between the AI platform and client systems (PAMs, CRMs, ticketing, chat, data APIs, etc.) · Support deployment, configuration, and validation of new AI environments for enterprise customers · Develop and maintain reusable SDKs, API wrappers, and automation scripts to streamline onboarding · Troubleshoot and resolve technical issues in collaboration with the Product and Solutions teams AI Evaluation & Quality · Design and run automated and manual evaluation tests for AI responses (accuracy, tone, latency, compliance) · Build dashboards and tools to monitor AI quality and performance across client deployments · Partner with the Senior Product Manager to translate evaluation findings into roadmap improvements · Collaborate with the AI engineering team to test new model versions and fine-tuning experiments · Document findings and maintain clear visibility of performance metrics for internal and client stakeholders About You: My client are seeking a full-stack engineer who can work comfortably at the intersection of software engineering, applied AI, and client delivery. Requirements: · 4+ years’ experience in full-stack engineering or ML · Strong proficiency in Node.js with Ruby on rails experience a major plus · Understanding of APIs, data pipelines, and system integrations · Familiarity with LLMs or conversational AI platforms (OpenAI, Anthropic, etc.) · Experience with evaluation frameworks (precision/recall, prompt-based testing, or human-in-the-loop QA) · Strong analytical and troubleshooting skills; ability to debug across systems · Excellent communication skills and comfort working across distributed global teams Bonus / Nice-to-Have: · Experience with gaming, sports betting, or high-volume transactional systems · Exposure to observability tools (e.g., Datadog, Grafana) or experiment tracking frameworks · Interest in applied AI safety, ethics, and model performance evaluation