Top Tech Jobs & Startup Jobs

The Senior Product Manager will define product vision and strategy for digital products, manage product lifecycle, and enhance customer engagement through Loyalty Programs in the Retail sector.

The Engineering Manager will lead the development of AI platforms, overseeing engineering teams, managing product delivery, and ensuring high architectural standards. Responsibilities include strategic roadmap development, cloud design, and cross-functional collaboration to deliver scalable software solutions aligned with business needs.

The role involves leading client projects in Data Science and AI, delivering advanced analytics solutions, and developing strategies for AI implementation. Candidates should possess strong technical expertise in AI, Machine Learning, and cloud platforms, alongside client engagement skills and a hands-on approach to data and AI challenges.

The role involves leading AI and Data Science projects, developing strategies, designing solutions using Machine Learning and Generative AI technologies, and engaging with clients across various sectors.

Responsible for leading end-to-end recruitment for technical and consulting roles, driving talent mapping, and providing an exceptional candidate experience.

The Senior Full Stack Engineer will develop and optimize APIs and services using .NET Core/C# and Angular, while managing both backend and frontend components. Responsibilities include engaging clients, deploying applications in cloud environments, maintaining code quality, and contributing to system design.

The role involves supporting clients with data analytics, machine learning, and data engineering. Responsibilities include data analysis, model building, stakeholder communication, and project management in a consulting context.

The Consulting Manager will analyze organizational structures, align design with workforce planning, manage change initiatives, and enhance client value through consulting engagements.

As an IT / Business Analyst, you will ensure business requirements are documented and met, drive digital transformations, and collaborate with stakeholders to solve complex problems with data-driven solutions.

Support consulting engagements focused on data analysis and AI initiatives, assist in identifying automation opportunities, and develop presentations and reports for clients.