Top Tech Jobs & Startup Jobs

Design and implement AI-driven applications using Verint technology, working with cross-functional teams to enhance customer experience and operational efficiency.

The FBS Data Management Specialist ensures accurate data reporting by translating regulatory requirements, developing reports, and improving data processes through collaboration with various stakeholders.

Serve as the team Product Owner/Business Analyst in an Agile environment: manage and prioritize the team backlog, define and accept user stories, coordinate dependencies, support PI planning and demos, communicate with stakeholders and the Product Manager, and drive iteration delivery and quality. Requires close collaboration across teams to ensure deliverables align with business value and the product vision.

The Data Analyst role focuses on leveraging advanced analytics to address strategic business challenges, including designing and implementing analytical solutions.

The role involves analyzing data to support customer retention initiatives, managing product development, and strategy, alongside conducting market research.

Design and implement call flows using NICE CXone, enhance omnichannel workflows, integrate NLU platforms, monitor call quality, automate workflows using APIs, analyze performance data, and ensure compliance with regulations.

The Product Owner III defines and prioritizes product features, collaborates with teams, manages the product backlog, and integrates AI/ML solutions, ensuring alignment with business goals.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

Manage full-cycle recruiting across functions: source, screen, interview, present offers, and oversee onboarding. Partner with hiring managers, track recruitment KPIs, nurture talent pools, support diversity and inclusion, and improve recruiting processes and tools.

Lead development and implementation of advanced finance modeling, predictive analytics, and actuarial analysis to support pricing, forecasting, scenario planning, customer segmentation, product development, and marketing. Deliver timely financial and operational insights, build analytics team capabilities, and collaborate cross-functionally to drive revenue growth, retention, and strategic decision-making.