Cint

Full-stack Engineer

• Collaborate on modernization journey, design and implement patterns for legacy displacement
• Own the architectural vision for legacy displacement, defining patterns, standards, and trade-offs
• Mentor senior and mid-level engineers, raising the quality bar through design reviews
• Build new services and help transition others from GO to Spring
• Partner with product managers to form requirements and shape roadmaps

Staff Software Engineer

Business Intelligence Analyst

• Define and execute the BI strategy
• Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product
• Oversee the evolution of our modern cloud data stack
• Unify enterprise data models across the organization
• Maintain ownership of data cataloging, quality, and governance standards
• Champion the use of AI and advanced analytics to automate insights
• Lead organizational change management and data literacy initiatives

Director, Business Intelligence

Solutions Engineer

• Design, implement, scale, and maintain the code that powers the production systems
• Innovate and contribute to the next generation of Cint products
• Collaborate with the international Measurement team

Senior Software Engineer II – DSM Integrations Team

• Collaborate with the DSM Integrations Team to deliver high-quality software solutions
• Design and maintain distributed systems with low-latency responses
• Mentor junior team members and share best practices
• Participate in code reviews and contribute to architectural decisions
• Continuously improve codebase through maintenance and refactoring

• Define and execute the BI strategy
• Partner with senior stakeholders across Finance, Sales, Customer Experience, and others
• Define and operationalize enterprise KPIs and executive-level dashboards
• Oversee the evolution of our modern cloud data stack
• Unify enterprise data models across the organization
• Maintain ownership of data cataloging, quality, and governance standards
• Establish rigorous data quality, observability, and reliability standards
• Own vendor relationships and the BI budget
• Oversee and ensure timely delivery of month-end data
• Champion the use of AI and advanced analytics
• Lead the transition to modern BI tools
• Lead organizational change management and data literacy initiatives
• Lead and mentor a global team of engineer and analyst professionals

• Design, implement, scale, and maintain backend systems that process large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward a more domain-based and scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions together with the team
• Collaborate closely with data science and engineering colleagues on technical solutions
• Participate in a collaborative development model where work is shared rather than handled alone

Staff Software Engineer – DSM

• Design, implement, scale, and maintain backend systems that process large volumes of data
• Work on event-driven and API-based integrations
• Contribute to migration efforts toward scalable architecture
• Build and optimize software for performance-sensitive workflows
• Investigate technical problems and propose solutions
• Collaborate with data science and engineering colleagues on technical solutions
• Participate in a collaborative development model

• Define and execute the BI strategy, shifting the organization from reactive reporting to a proactive, 'intelligence-first' mindset that drives faster and better business decisions.
• Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product to align the BI roadmap with global goals.
• Define and operationalize enterprise KPIs and executive-level dashboards to ensure consistent measurement of business performance and accountability.
• Oversee the evolution of our modern cloud data stack, ensuring it is optimized for high-performance querying, cost-efficiency, scalability and reliability.
• Unify enterprise data models across the organization to eliminate fragmented silos and ensure a single, governed, and trusted 'Source of Truth.'
• Maintain ownership of data cataloging, quality, and governance standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions.
• Establish rigorous data quality, observability, and reliability standards to build sustained trust in analytics and reporting.
• Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency.
• Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency.
• Champion the use of AI and advanced analytics to automate insights, enhance forecasting, and surface proactive recommendations for the business.
• Lead the transition to modern BI tools, empowering teams to explore data independently while maintaining governance.
• Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business.
• Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation.

• Define and execute the BI strategy
• Partner with senior stakeholders across various departments
• Define and operationalize enterprise KPIs and executive-level dashboards
• Oversee the evolution of our modern cloud data stack
• Unify enterprise data models across the organization
• Maintain ownership of data cataloging, quality, and governance standards
• Establish rigorous data quality, observability, and reliability standards
• Own vendor relationships and the BI budget
• Oversee and ensure timely delivery of month-end data
• Champion the use of AI and advanced analytics
• Lead the transition to modern BI tools
• Lead organizational change management and data literacy initiatives
• Lead and mentor a global team of engineer and analyst professionals

• Design, implement, scale, and maintain backend systems that process large volumes of data.
• Work on event-driven and API-based integrations.
• Contribute to migration efforts toward a more domain-based and scalable architecture.
• Build and optimize software for performance-sensitive workflows.
• Investigate technical problems and propose solutions together with the team.
• Collaborate closely with data science and engineering colleagues on technical solutions.
• Participate in a collaborative development model where work is shared rather than handled alone.

Support Engineer

• Provide operational support for online research projects across multiple regions and time zones
• Ensure continuity of service outside regional business hours
• Support project delivery by responding to client and internal requests
• Troubleshoot project-related issues and monitor project health
• Coordinate with regional teams to ensure timely resolution of urgent requests
• Help maintain a seamless client experience by providing prompt communication
• Support project continuity during regional handoffs and escalate issues when appropriate
• Note: opportunity will require working US CST shifts and weekends, with two days off provided.

Senior Analyst, Project Support

Artificial Intelligence

• Lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI
• Focus on measurable business value: better workflows, faster cycle times, improved quality, stronger productivity
• Manage the transformation portfolio and value framework, ensuring AI initiatives create measurable operating change
• Accountable for ensuring AI transformation work has clear outcomes, owners, governance, dependencies, adoption plans and measurement
• Prepare clear updates for executive leadership and make AI transformation visible, measurable and credible

Director, Enterprise AI Transformation

AI Engineer

• Identify and shape opportunities for AI-enabled improvement
• Redesign work where needed to enhance workflow
• Support delivery in a structured manner with clear outcomes
• Connect business, technical and governance partners for practical improvements
• Measure value and capture learning from AI initiatives
• Support adoption of new ways of working with teams

AI Workflow Transformation Lead

• Lead Cint’s AI Transformation Office and own the strategy, roadmap and operating model for embedding AI into the way Cint works
• Focus on measurable business value: better workflows, faster cycle times, improved quality, stronger productivity, clearer governance
• Own and maintain Cint’s enterprise AI transformation strategy and roadmap, aligned to business priorities
• Manage the enterprise AI transformation portfolio and value framework
• Define success measures, track impact and ensure AI initiatives create measurable operating change
• Own the executive narrative for enterprise AI transformation and report to key stakeholders