Top Tech Jobs & Startup Jobs

Design, develop, and maintain software applications using NodeJS, ReactJS, and Postgres. Participate in the software development lifecycle and collaborate with product teams to deliver new solutions and maintain existing platforms. Write unit tests, perform code reviews, and build performant distributed systems.

The QA Manager oversees the QA team, managing daily operations and ensuring quality standards in testing web publications and marketing content. They design automation frameworks, contribute to automated test cases, and develop comprehensive test strategies. The role requires a proactive leader with extensive experience in automation testing, eCommerce platforms and agile methodologies.

The EVP of Customer Success and Services will lead global customer success initiatives, ensuring customers achieve their desired outcomes and maximize value from the tech skills development platform. Responsibilities include building teams, driving customer retention and engagement, establishing data-driven processes, and fostering a culture of customer success throughout the organization.

The B2C Product Marketing Manager will drive the growth and adoption of Pluralsight's Skills product, developing go-to-market strategies, messaging for various B2C personas, and optimizing user engagement through data analysis and creative collaborations.

As a Senior Salesforce Developer at Pluralsight, you'll deliver high-quality Salesforce features for various departments while collaborating with team members and mentoring juniors. You will utilize your extensive Salesforce knowledge, focusing on continuous improvement and adherence to best practices.

The Product Support Representative provides excellent customer service by addressing technical, subscription, payment, and administrative questions. Key responsibilities include responding to customer inquiries, troubleshooting issues, and collaborating with teammates to enhance the support experience.

Lead a team of data scientists to deliver analytics solutions that positively impact business outcomes. Manage data science projects, implement predictive models, and improve deployed solutions. Ensure effective communication regarding data science methodologies and support project management practices.