Top Tech Jobs & Startup Jobs in India

As the Director of Device Management at JumpCloud, you will lead a team of product managers responsible for developing the device management platform, creating product roadmaps, and collaborating with engineering while engaging with customers and stakeholders to drive strategic vision.

The Data Scientist/Sr. Data Scientist will utilize strong coding skills to manage and analyze large datasets. Responsibilities include advanced analytics, reporting, and contributing to sales and marketing projects while collaborating with teams to optimize solutions and mentor junior analysts.

The Senior Engineer - Throughput Simulation is responsible for developing and optimizing process models using simulation software, analyzing data for process improvements, leading simulation efforts across teams, and providing training to new engineers. They also track project progress and support performance objectives and strategies within the organization.

In this role, you will provide advanced technical support to customers using BugSnag, troubleshoot issues, collaborate with development teams, and potentially mentor junior staff. You will also work on bug fixes and product enhancements, ensuring excellent customer service and technical expertise.

The Senior AI Research Engineer will design and build solutions for natural language technologies, optimize models, conduct data analysis, and collaborate with AI teams to innovate and enhance products. Responsibilities include implementing NLP and machine learning methods, and staying up-to-date with advancements in the field.

The Enterprise Support Associate will build and maintain relationships with providers, ensuring satisfaction with Zocdoc's products and services. Responsibilities include addressing inquiries, proactively identifying areas for improvement, and providing a seamless experience through effective communication and problem-solving skills.

The Data Ops Engineer will administer Tableau servers, optimize data processes through automation, enhance data quality and uptime, and implement standards for data pipelines. Responsibilities include performance analysis, documentation creation, and collaboration with data practitioners to improve the analytics environment.