Jobs at Oddin.gg

Provides frontline B2B customer support during live esports betting events. Investigates data, odds, market states, JSON payloads, and settlement disputes using monitoring and back-office tools. Coordinates incidents and escalations with Trading, Product, Risk, and Customer Success teams, performs match integrity checks, maintains documentation, and conducts shift handovers across global offices. The role operates remotely on rotating shifts, including weekends, in a 24/7 environment.

Coordinate daily esports studio operations, including player rosters, match schedules, staffing, live broadcasts, referees, and studio personnel. Monitor live matches, resolve operational and technical issues, maintain records, enforce procedures, and support onboarding and training. The role also contributes to process improvement, operational scaling, and issue escalation in a fast-paced, on-site, shift-based environment.

Own and improve the company’s infrastructure and deployment environment. Manage Docker-based CI/CD workflows across GitHub Actions and AWS, maintain MySQL databases, improve system reliability and scalability, support monitoring and high availability, and coordinate infrastructure work between Aarhus and Prague teams. Participate in an on-call rotation for mission-critical esports data feeds.

Research, fine-tune, train, and deploy large language models for real-time commentary and interactive avatar applications. Build RAG systems, agentic workflows, multimodal solutions, and production-grade inference services with monitoring and tool integration. Collaborate with ML engineers, product developers, and domain experts to create reliable, observable AI systems.

Own the end-to-end delivery of real-money crash, instant-win, and virtual sports games from prototype through launch and live operations. Create game design documents, collaborate with mathematicians on odds and economics, manage RNG certifications and platform distribution, and optimize performance using GGR and margin data. Use AI tools daily for specifications, mathematical modeling, and rapid prototyping.

Monitor live esports matches, analyze match data, produce probability models and outcome forecasts, refine model outputs, conduct post-match reviews, and collaborate with math and data teams. The role requires strong knowledge of at least one major esports title, familiarity with probabilities and forecasting, quick judgment, English communication, flexibility for global schedules, and willingness to learn trading strategies.

Own the editorial calendar and produce long-form and social content across blogs, LinkedIn, email, sales collateral, websites, and press releases. Translate technical input from internal experts into credible, engaging narratives, manage social execution, adapt video content, coordinate PR distribution, and analyze performance to improve content strategy. The role requires independent execution in a remote, fast-moving B2B technology environment serving a global esports betting audience.

Own end-to-end product design for complex back-office tools supporting trading, risk, operations, and data teams. Work directly with internal users to understand workflows, simplify data-heavy experiences, validate solutions, and iterate. Build and evolve a scalable design system using existing component libraries and frameworks while partnering closely with product and engineering.

Research and develop world models to simulate and generate sports/eSports video matches. Design, implement, and optimize generative computer-vision and autoregressive architectures; build large-scale video-action data cleaning and preprocessing pipelines; define validation strategies and custom evaluation metrics; collaborate across teams and track relevant CV/ML literature.

Develop and maintain Kotlin backend services, design internal and public APIs (REST/gRPC/GraphQL), deploy to cloud or data center, improve reliability and performance, and collaborate with cross-functional teams to implement features end-to-end.

Operate the trading platform to watch and analyze sports simulators (EA FC 24, NBA 2K, Cricket 22, etc.), create and adjust betting odds in real time, perform post-match analysis, collaborate with mathematicians to improve models, and support new esports simulator projects. Requires quick decision-making, reliability, and time flexibility including night shifts.

Develop Python-based microservices and APIs for real-time video, audio, and data streams. Translate research into high-performance, low-latency production services, implement model deployment practices, optimize GPU/hardware performance, and maintain code quality while collaborating with AI researchers.

Lead two ML teams across esports verticals, owning end-to-end ML lifecycle, roadmap, delivery, and MLOps. Act as technical bridge to product and infra, unblock teams, drive hiring and performance, introduce AI tooling, and ensure scalable, validated production deployments while managing cross-team dependencies and agile execution.

Monitor and analyze esports and sports-simulator matches in real time to set and adjust betting odds, perform post-match analysis, collaborate with mathematicians to improve models and trading tools, and contribute to new esports simulator projects. Requires fast decision-making, attention to detail, and daily English communication.

Own product marketing for fast betting content: shape positioning and end-user experience, lead go-to-market and storytelling, create operator-facing assets, and collaborate with Product, Content, Design, and Commercial teams to drive engagement, retention, adoption, and revenue.

Act as the CEO's execution engine: enforce deadlines, close open loops, resolve operational bottlenecks, translate strategy into operational workflows, design and govern CEO-led meetings, and hold senior stakeholders accountable to drive projects to completion across the portfolio.

Lead and implement automation testing strategy, design and run automated test suites (functional, integration, load, distributed, chaos), mentor engineers, maintain frameworks and CI/CD pipelines, report quality metrics, and collaborate with product and development teams to improve testing processes.

Lead end-to-end product development for live, real-time avatar products. Translate research into shippable features, own roadmaps, run operating cadence, ensure live streaming reliability, manage stakeholders, and validate with data and user feedback.