bet365

HQ
Denver
Total Offices: 2
10,000 Total Employees
Year Founded: 2000

bet365 Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers disability insurance

Provides 401(K) matching

Offers life insurance

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers performance bonuses

Provides pay transparency

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Offers a flexible time off policy

Provides paid holidays

Allows employees to take a day off for their birthday

Provides access to an onsite gym

Company Culture

Provides onsite office parking

Employees provided with well-designed, comfortable workspace

Utilizes a hybrid work model

Career Growth + Development

Promote from within

Provides personal development training

Recently posted jobs

16 Hours AgoSaved
In-Office
Denver, CO, USA
Digital Media • Gaming • Software • Esports • Automation
Provide administrative support for sportsbook trading compliance across licensed domains. Verify and remove event restrictions, monitor regulatory requirements, perform regular checks across jurisdictions, manage department inbox, and maintain knowledge of policies and procedures. Role requires flexible hours, including weekends and holidays.
22 Hours AgoSaved
In-Office
Denver, CO, USA
Digital Media • Gaming • Software • Esports • Automation
Serve as the primary contact for high-value customers, building long-term relationships and delivering premium, personalized service. Handle phone, chat, email and web message queries, investigate and resolve gaming, payment and account issues, follow compliance and responsible gambling processes, navigate back-office tools, and collaborate with other teams to ensure seamless customer experiences.
2 Days AgoSaved
Hybrid
Denver, CO, USA
Digital Media • Gaming • Software • Esports • Automation
Lead and build a US-based data science capability while remaining hands-on: write code, design, deploy, and maintain production ML models on GCP (Vertex AI), mentor junior data scientists and ML engineers, establish workflows/standards and CI/CD, collaborate with US and UK data teams and product stakeholders, and implement real-time/event-driven solutions (Kafka).