Jobs at Gamingtec

Own the end-to-end development of machine learning systems for recommendations, ranking, personalization, retrieval, predictive analytics, and GenAI agents. Translate ambiguous product goals into experiments, evaluation frameworks, and production features. Work with behavioral and transactional data, conduct error analysis, improve model quality, and partner with engineering teams on deployment and monitoring. Establish ML standards, experimentation practices, and reusable Python components while driving measurable business outcomes.

Develop and maintain an existing project using PHP, Laravel, Symfony, and React. Design, implement, document, and troubleshoot RESTful APIs and services; write clean object-oriented code; integrate PostgreSQL, MongoDB, and Redis; and improve processes. The role requires self-testing without dedicated manual QA, database troubleshooting, and collaboration in a remote international team.

Leads global content and communications across product marketing, brand communications, website messaging, social media, editorial content, PR, SEO collaboration, and content operations. Owns content strategy, communication quality, cross-department coordination, roadmap execution, research, and market positioning. The role requires strong iGaming expertise, B2B communications experience, excellent English writing and editorial skills, and the autonomy to manage multiple communication streams while improving brand authority and commercial impact.

Develop and maintain web and mobile interfaces using React, React Native, JavaScript, and TypeScript. Responsibilities include creating UI components, building websites and mobile applications, fixing bugs, refactoring code, optimizing browser performance, integrating APIs, assessing technical feasibility, and participating in team communication. The role also involves React Native SDK development and working within dynamic, continuously improving processes.

Own payment gateway reconciliation across bank accounts and payment providers using Excel and an internal reconciliation tool. Investigate outstanding items, monitor balances, prepare routine and ad-hoc reports, communicate payment risks, and coordinate with FinOps, Customer Support, IT, and external correspondents. The role also supports process improvements, participates in review meetings, and supervises junior colleagues.

Lead the vision, strategy, roadmap, and investment decisions for a B2B Player Account Management platform serving regulated iGaming markets. Manage and develop a product management organization, partner with engineering on scalable API-first capabilities, and drive discovery, competitive analysis, KPIs, customer value, regulatory readiness, and executive alignment.

Leads global B2B sales growth for an iGaming product by developing go-to-market strategy, expanding into multiple regions, acquiring new business, managing strategic partnerships, and leading the full sales cycle. Owns CRM discipline, pipeline performance, forecasting, reporting, sales hiring, coaching, and team metrics. Represents the company at industry events and supports cross-functional commercial alignment.

Manage the full-cycle recruitment process, including sourcing, headhunting, screening, interviewing, offer management, and candidate relationship building. Maintain hiring pipelines in BambooHR, collaborate with hiring managers, ensure consistent interviews and timely feedback, and train interviewers. The role recruits international IT and non-IT professionals and requires strong communication, organization, sourcing, and stakeholder management skills.

Own end-to-end B2B sales and revenue generation, from prospecting and discovery through demos, proposals, negotiations, closing, and handoff. Build pipeline, refine the go-to-market motion, establish CRM and forecasting discipline, develop customer and partner relationships, and create a repeatable sales playbook. Work closely with founders and product teams to sharpen positioning, improve conversion, and secure early customers or strategic partnerships.

Build and operate the platform infrastructure, backend services, pipelines, and tooling used to train, evaluate, deploy, serve, and monitor ML and GenAI systems. Improve CI/CD, testing, observability, reliability, scalability, security, performance, and cost efficiency. Establish reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases while troubleshooting production issues and supporting experimentation and customer-facing integrations.

Develop and productionize recommendation, personalization, ranking, NLP, and GenAI models. Responsibilities include data analysis, feature engineering, model evaluation, error analysis, experiment design, deployment, monitoring, and iteration. The role partners with engineering and platform teams, establishes evaluation frameworks, improves business metrics, documents methodologies, and communicates technical findings to stakeholders while ensuring privacy and regulatory compliance.