Jobs at Oddin.gg

Integrates sportsbook products with customer platforms, provides technical support, troubleshoots and resolves issues, coordinates with customer IT teams and internal product, development, and sales teams, and maintains technical documentation. The role supports multiple international B2B customers and may require travel. Familiarity with sports betting, web technologies, APIs, databases, HTML, CSS, XML, and JSON is valuable.

Acquire sportsbook clients across LATAM, drive revenue, negotiate contracts, accelerate adoption, and build strategic relationships within the betting ecosystem. The role requires articulating technical value propositions for esports solutions, developing partnerships, supporting product improvements, and evangelizing esports betting. Candidates should have iGaming and direct B2B sales experience, sportsbook decision-maker connections, strong communication skills, and English and Spanish proficiency; Portuguese is advantageous.

Monitor live and pre-match betting activity, profile players, investigate suspicious patterns and incidents, assess risk exposure, review bets and settlements, and make day-to-day account and risk decisions. Communicate with B2B operators and providers, collaborate with Trading, Product, and Development, prepare reports, use internal risk and trading tools, and help improve desk processes. The role requires rotating shifts, including weekends and public holidays.

Manage the daily operations of a 25–30-person EA FC player team. Responsibilities include staffing, scheduling, attendance tracking, replacements, recruitment, onboarding, conflict resolution, player support, operational reporting, inventory coordination, and communication with trading and international teams. The role requires strong leadership, organization, English communication, EA FC knowledge, and availability for on-site shift work in São Paulo.

Owns operations for a 100+ person Prague esports production studio, including workforce planning, team leadership, operational processes, project launches, broadcast quality, equipment and inventory oversight, KPI analysis, budgets, and 24/7 operational continuity.

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.

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.

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.

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.

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.