Top Tech Jobs & Startup Jobs

Process and manage customer lottery ticket orders and redemptions at a local fulfillment center, maintain real-time order status and tracking, operate printing/scanning equipment, streamline workflows to meet daily objectives, and support operational projects while delivering excellent customer service.

Drive daily sportsbook operations and merchandising across customer-facing product surfaces. Resolve escalated customer issues, monitor content, promotions, events, and odds, identify merchandising opportunities, track competitors, support quality assurance, and escalate technical or customer-facing problems. Collaborate with Trading, Marketing, Customer Experience, and Operations teams to improve processes and customer outcomes. Mentor junior team members and work evening and weekend shifts aligned with the sports calendar.

Leads multiple backend engineering teams, sets technical strategy and architecture, drives scalable cloud-based systems, mentors engineering managers and senior engineers, oversees hiring, and partners cross-functionally to deliver high-impact product initiatives. Requires expertise in C# or Java, .NET, AWS, distributed systems, and Kafka, plus experience managing distributed teams.

Provides administrative and operational support to the Tax team by coordinating filings, payments, signatures, licenses, deadlines, correspondence, and stakeholder communications. The role manages tax-related projects, maintains accurate records, improves workflows, translates business needs into reporting and dashboard requirements, and supports adoption of tax technology and automation tools. It also partners with compliance, legal, accounting, consultants, and government agencies to resolve inquiries and ensure timely regulatory compliance.

Own daily sportsbook merchandising across customer-facing surfaces, ensuring promotions, content, events, and product updates launch accurately and on schedule. Identify opportunities using event calendars, customer behavior, performance data, promotional priorities, and competitor insights. Coordinate launches with cross-functional teams, monitor live experiences, escalate issues, and recommend optimizations. The role requires sports knowledge, strong organization, data-driven judgment, and availability during major events, evenings, and weekends.

Lead strategy and execution of data apps for the Sportsbook Trading domain. Define roadmaps, translate business needs into technical requirements, manage cross-functional delivery, champion AI-driven automation, monitor production, and mentor junior TPMs to improve processes and outcomes.

Develop, implement, and deploy statistical and machine learning sports models and pricing engines in Python; engineer sports data assets; build automated tests; collaborate with Trading, Product, Engineering, and QA; validate data flows and integrations; and mentor junior data scientists.

Lead sourcing and supplier relationship management for technology categories (SaaS, cloud, AI, hardware, telecom, data). Partner with Technology, Product, Security, and Finance to run RFx processes, analyze proposals, build business cases, negotiate contracts, perform spend and TCO analysis, mitigate third-party risk, and use analytics/automation to improve procurement outcomes.

As a Senior Data Science Engineer, you'll lead data science projects, develop algorithms, analyze datasets, and mentor junior team members to enhance trading operations and strategies.

Leads reliability standards across Infrastructure Engineering by developing Service Level Objectives, Service Level Indicators, error budgets, observability reporting, and reliability measurement practices. Partners with engineering teams to connect infrastructure performance to application and customer experiences, analyzes distributed-system failure modes, and influences teams through technical guidance, mentoring, and communication with senior leadership.