Top Tech Jobs & Startup Jobs

Lead the OpenAI product roadmap and manage the ChatGPT Enterprise platform for MAN. Define governance, policies, feature rollouts, integrations, and success metrics. Support departments on safe AI use, monitor adoption, compliance, performance, and align AI demands with business stakeholders while ensuring security, privacy, and Responsible AI adherence.

The Senior Fullstack Developer will develop software, implement APIs, maintain codebases, and contribute to architectural decisions while utilizing Angular and Java/Springboot on AWS with CI/CD practices.

The Fullstack Developer will evolve a desktop application to cloud-based, develop and maintain backend services with .NET, and support DevSecOps lifecycle while ensuring application stability and performance.

As a Fullstack Developer, you will develop and maintain automotive backend solutions, contribute to architectural decisions, and collaborate with teams using Kotlin, Spring, and React.

Design and maintain scalable data pipelines and ETL/ELT workflows for ML and GenAI, collaborate with teams, and ensure high engineering standards.

The SAP MDG Tech Lead will configure and design the SAP MDG solution for Aftersales, focusing on Material Master data governance, custom workflows, and international rollouts, while guiding stakeholders and supporting training and testing phases.

The role involves working with cloud environments, building platform applications, contributing to tech decisions, and maintaining code while adhering to best practices.

The role involves developing AI product vision, managing product backlogs, defining roadmaps, and translating business requirements into technical specifications. It requires collaboration with teams and ensuring compliance with regulations.

The Senior AWS Java Developer will develop and maintain backend microservices, leveraging AWS and DevOps principles to enhance the automotive software ecosystem. Responsibilities include architectural development, deploying solutions, and collaboration across teams.

The Data Platform Engineer will create and manage data pipelines, build cloud data solutions, and manipulate large datasets to provide actionable insights, primarily using AWS and PySpark.