Jobs at Fractal

The Sales Hunter will drive new business in TMT accounts, manage client relationships, educate clients on Fractal's solutions, and lead sales initiatives using advanced analytics expertise.

The Sales Leader will oversee sales for corporate L&D, develop strategies, lead a sales team, manage client relationships, and achieve revenue goals.

The Senior Data Modeler is responsible for designing and managing data models, ensuring data accuracy, compliance, and alignment with business needs.

Design, develop, and deploy AI-centric full-stack enterprise applications on a client AI platform. Build and maintain ETL/data integration using Python, Pandas, and NumPy; implement automation with shell scripts and cron; optimize performance; use Git/GitLab and CI/CD; deploy to cloud (GCP/AWS/Azure); work with SQL/NoSQL and time-series data; lead design reviews and produce documentation.

The Product Marketing Manager will lead marketing strategies for CX products, conduct market research, create engaging content, and drive product launches. Responsibilities also include collaborating with teams and optimizing marketing tools to improve campaign effectiveness.

The Engagement Manager will lead analytics and AI-driven programs, manage client relationships, build high-performing teams, and innovate solutions using decision science and data science.

The Account Growth Manager will manage client relationships, drive strategic growth, and ensure successful sales and margin targets by leveraging AI and data-driven solutions.

Consult with senior clients on AI-led learning solutions, drive enterprise growth through strategic sales, ensure delivery alignment, and manage client engagements to achieve revenue targets.

The Cloud Platform Engineer will design and implement cloud infrastructure, automate deployments using Terraform and Argo, develop serverless applications, and collaborate with teams to maintain robust cloud services.

The Engagement Manager will lead analytics-driven programs, manage client relationships, and innovate solutions in decision science and AI. Responsibilities include fostering collaboration, mentoring teams, and contributing to practice growth.