Top Tech Jobs & Startup Jobs

The Data Governance Project Lead will manage delivery across data and analytics programs, ensuring governance processes are followed and stakeholders are aligned.

The Adobe Engineer will manage A/B tests, collaborate with teams, troubleshoot targeting issues, and improve testing processes using Adobe technologies.

The Full Stack Engineer will build and design modern web applications, collaborate with cross-functional teams, and implement backend services and APIs, focusing on robust architectures and user experience.

As a .NET Developer (AI), you will design enterprise applications with AI capabilities, optimize agent behavior, and collaborate across teams to drive innovation in solutions.

Responsible for driving the delivery of complex technical projects in an Agile environment, coordinating teams, managing timelines, and ensuring alignment with business objectives while leveraging AI-driven solutions.

As a Data Engineer, you'll build and support enterprise-scale data pipelines, ensuring data accuracy and quality while collaborating with various teams in an Agile environment.

The AEP Administrator will oversee configuration, user management, and operational support for Adobe Experience Platform, ensuring compliance and reliability. Responsibilities include integrations, monitoring health, and maintaining documentation.

As an AI/ML Presales Solutions Architect, you will engage with clients to identify problems, create feasible AI solutions, and partner with sales to ensure project delivery aligns with capabilities. You will leverage your extensive experience in AI and cloud platforms to shape presentations and technical discussions with clients.

The Snowflake Solutions Architect designs and implements scalable data solutions on Snowflake, collaborates with engineering teams, optimizes performance, ensures data governance, and engages stakeholders to drive architectural decisions.

The MDM Data Engineer will design and operate data integrations for MDM implementations, focusing on data ingestion, quality, and collaboration with architects and consultants.