Vice President of Operations Location: United States (On Site | Austin, Texas) Industry: Gaming Technology / Historical Horse Racing (HHR) About the Company My client, a subsidiary of a major publicly traded gaming and entertainment organization, is the leading provider of technology for Historical Horse Racing (HHR) in the United States. Its proprietary platform powers one of the most flexible, secure, and content-rich HHR ecosystems in the market, processing billions in wagers annually in partnership with top-tier gaming manufacturers and operators nationwide. The Role The Vice President of Operations is a key member of the Executive Leadership Team and a strategic partner to the President. This role owns the company’s end-to-end operational execution, ensuring scalable, compliant, and high-performance delivery across Gaming Operations, Technical Operations, and IT Operations. This is a senior leadership role for an operations executive with deep experience in regulated, technology-driven environments who can balance strategic vision with hands-on execution. Key Responsibilities Operational Leadership Set and execute operational strategy aligned with growth, compliance, and reliability objectives Define, document, and optimize operational processes across all functions Establish KPIs and reporting frameworks to drive continuous improvement Ensure operational scalability, efficiency, and service excellence Gaming Operations Oversee regulatory compliance, licensing, installations, logistics, and field service Facilities oversight and customer support reporting Technical Operations Lead all customer implementations including project planning, hardware specification, system builds, testing, installation, training, and go-live support Oversee complex issue triage and cross-functional coordination Drive continuous improvement in manufacturing and integration processes Partner closely with product and engineering teams IT Operations Own enterprise IT infrastructure, networking, cybersecurity, and system uptime Lead IT modernization to support growth and regulatory requirements Oversee internal systems selection, deployment, and management Provide consulting support for customer network architecture Executive Partnership & Leadership Serve as a trusted advisor to the President and Executive Leadership Team Contribute to strategic planning, innovation initiatives, and cross-functional execution Build, mentor, and lead high-performing, multidisciplinary teams Qualifications Required 10+ years of senior operations leadership experience in gaming, technology, or other highly regulated industries Proven experience managing complex, multi-disciplinary operations (technical, IT, logistics, compliance) Strong people leadership and team-building background Experience implementing process improvement frameworks (Lean, Six Sigma, etc.) Strong understanding of regulatory and compliance environments Bachelor’s degree in Business, Engineering, Operations, or related field Preferred MBA or advanced technical degree Experience scaling operations during rapid growth or post-acquisition environments Familiarity with gaming platforms, HHR systems, or distributed gaming technology Core Competencies Strategic, data-driven decision making Operational rigor and execution excellence Collaborative, transparent leadership style Ability to lead under pressure while maintaining long-term focus

This is your chance to join a fast-growing technology & entertainment business where reality TV, celebrity drama, and pop culture are transformed into real prizes. The mission is simple: make watching, predicting, and talking about your favorite moments more exciting and more valuable. You’re not just watching the world, you’re part of it. Predict outcomes, compete with friends, and earn epic prizes About the Role My client is seeking a hands-on Acquisition Marketing Manager to drive user growth through paid media, influencer partnerships, and affiliate marketing. Reporting directly to the CEO, you’ll be responsible for planning, executing, and optimizing campaigns across these channels, with a strong emphasis on data-driven decision-making and measurable results. This is a fully remote position open to candidates based in North America. Key Responsibilities Develop, execute, and optimize paid media campaigns (including PPC, display, and paid social) to drive user acquisition and revenue growth. Identify, recruit, and manage influencer partnerships to expand brand reach and engagement. Build and scale affiliate marketing programmes, managing relationships and performance with key partners. Analyse campaign performance, generate actionable insights, and report on KPIs to the CEO and wider team. Collaborate with the product and content teams to ensure campaign messaging and creative are aligned with brand objectives. Stay current on the latest trends and best practices in paid media, influencer, and affiliate marketing, especially within mobile gaming and pop culture. Test new channels and strategies to identify scalable growth opportunities. Skills, Knowledge, and Experience 4-5 years’ hands-on experience in acquisition marketing, with a proven track record in paid media, influencer, and affiliate marketing (mobile gaming, sweepstakes, prediction markets, igaming or entertainment experience highly desirable). Strong analytical skills and experience using data to optimize campaigns and drive decision-making. Proficiency with campaign management and analytics tools (e.g., Google Ads, Facebook Ads Manager, affiliate platforms, influencer management tools). Excellent communication skills, both written and verbal. Ability to work independently in a fast-paced, remote environment. Experience with reporting and presenting campaign results to senior stakeholders. Bonus: Experience with SEO, email marketing, or content marketing.    

My client is seeking an exceptional Senior Sportsbook Data Science Engineer to lead advanced modeling initiatives that power user profiling, risk control, and personalized gaming experiences across their rapidly expanding Sportsbook and iGaming ecosystem. This position is a senior, high-impact role offering full ownership of model strategy, hands-on development, and leadership of data science best practices. You will build and deploy machine learning models that directly influence product innovation, risk management, and operational effectiveness. Key Responsibilities Modeling Leadership & Roadmap Ownership Own the end-to-end modeling roadmap for Sportsbook and iGaming user profiling, ensuring full alignment with business priorities, compliance needs, and risk strategy. Architect scalable ML pipelines for feature engineering, model training, deployment, and monitoring in production environments. Develop robust user segmentation and classification frameworks based on behavioral, transactional, and betting activity signals. Translate model insights into actionable strategy recommendations for cross-functional teams including Product, Risk, Marketing, and Operations. Mentor and support junior data scientists/ML engineers, driving excellence in experimentation, deployment processes, and model governance. 1. User Risk Control & CCF Modeling Build predictive models for user risk control coefficients (CCF) using behavioral, financial, and wagering-related data features. Automate the assignment of CCF risk tiers and design differentiated risk-control strategies per user segment. Continuously track model performance, detect drift, and optimize outcomes to support safer gaming, regulatory compliance, and risk-aware decision making. 2. Betting & Gaming Behavior Prediction / Personalization Develop predictive models for user behavior, including betting propensity, churn risk, gameplay depth, and long-term value forecasting. Build recommendation systems to personalize game/bet suggestions, promotions, and product experiences across Sportsbook and iGaming channels. Optimize personalization frameworks to drive engagement, retention, and user lifetime value. Qualifications 5+ years of hands-on machine learning/modeling experience in the Sportsbook or iGaming industry, with a proven track record of delivering production ML solutions. Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or a related quantitative field. Expert proficiency in Python and SQL, including data wrangling, feature engineering, model building, and evaluation. Deep knowledge of ML methods for classification, scoring, segmentation, recommendations, and behavior prediction. Demonstrated experience deploying models into production, with strong understanding of monitoring, drift detection, and feedback loops. Excellent communication skills with the ability to convey complex modeling results to non-technical stakeholders.