Top Tech Jobs & Startup Jobs

As Manager of Fantasy Sports Operations, you will lead a team managing day-to-day operations for Pick6, develop content merchandising strategies, implement testing plans to improve performance, and collaborate with cross-functional teams using data to identify trends. You will also create presentations for both technical and non-technical audiences.

As a Product Manager I, you will define innovative sports betting products, collaborate with various teams including Data Science and Engineering, ensure smooth execution of product strategies, and align on content strategies with the trading team while evaluating in-house models for profitability and availability.

As a Senior Lead Software Engineer, you will develop image classification models using CNNs, build machine learning models with Vertex AI, and enhance image processing techniques for OCR. You'll lead cross-functional teams, ensure architectural integrity through code reviews, and mentor others in machine learning best practices, while addressing challenges in the lottery vertical.

As a Principal Software Engineer, you will lead platform innovation and development, ensuring high quality and strategic direction across multiple teams. Responsibilities include overseeing development progress, managing a technology backlog, and championing DevOps practices using tools such as Kubernetes and Docker.

The Senior Communications Associate will support public affairs and corporate social responsibility initiatives by creating content, managing communications materials, conducting research, and executing advocacy campaigns. The role requires strong writing skills, project management capabilities, and knowledge of public policy and legislative processes.

The Senior Cloud and AppSec Engineer will enhance security in cloud workloads, manage application security, integrate security into SDLC, conduct testing for mobile applications, and participate in threat mitigation efforts, collaborating closely with engineering teams.

As a Machine Learning Engineer, you'll integrate statistical and machine learning models into production, write production quality code, utilize MLOps for ML workloads, and ensure model accuracy. Collaboration with product teams is vital to move projects from ideation to deployment.