Top Tech Jobs & Startup Jobs

As a Senior Data Scientist in the Experimentation Team, you will assess and enhance current experimentation practices, improve statistical methodologies, develop best practices, and collaborate with engineering teams to drive data-driven decision-making through experimentation.

As a CRM Operations Manager, you will lead a team that manages content across email, push, in-app, and websites, ensuring marketing campaigns are deployed on time and accurately. You will facilitate communication, manage workflows, develop standard operating procedures, and drive process optimization while contributing to team leadership and capacity planning.

As a Staff Content Designer in the Equities team at Robinhood, you will craft product content that aids users in understanding financial services. Responsibilities include collaborating with design and product teams to enhance user experiences, developing content frameworks, and ensuring high-quality, approachable communication while incorporating user research into content decisions.

As a QA Engineer at Robinhood, you will own new feature quality by creating test strategies, building test plans, and automating tests for mobile and web apps. You will collaborate across teams to enhance user experiences and address customer feedback post-launch.

The Senior Lifecycle Marketing Manager will lead the strategy for customer lifecycle journeys and campaigns, focusing on enhancing user engagement through data-driven insights and collaboration with marketing and analytics teams. Key responsibilities include using data for segmentation, developing targeted messaging, and implementing A/B tests to optimize marketing performance.

The Senior Applications Engineer will provide technical leadership for Anaplan projects, lead the development of models and reports, troubleshoot production issues, and ensure integration with systems like Oracle Cloud and Workday. The role involves mentoring engineers, enhancing processes, and maintaining governance frameworks.

The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.