Jobs at Cint

Serve as a strategic customer advisor for measurement products, analyze study and campaign data, drive product adoption, deliver consultative recommendations, and coordinate cross-functional teams to ensure successful measurement outcomes and customer growth.

Manage a portfolio of publishers, platforms, and ad tech partners to grow revenue via new and existing partnerships. Build relationships with stakeholders, present platform capabilities, meet sales quotas, maintain pipeline/CRM, collaborate with cross-functional teams, and travel frequently (50-75%) for client meetings and conferences.

Lead technical onboarding and integration of Cint's REST APIs for global partners. Design custom integration workflows with R&D, troubleshoot performance using Grafana/Kibana/OpenSearch, analyze logs/metrics, advocate API improvements, and act as escalation between partner engineering and internal Sales/Customer Success.

Provide 24/7 technical support for the Cint platform: investigate and resolve customer issues, debug API integrations, classify bugs by severity, create technical documentation, translate client requirements into tickets, and coach clients to adopt platform features.

Lead Cint's AI Transformation Office to create and execute an enterprise AI strategy, operating model and prioritized portfolio. Drive workflow redesign, adoption, governance, and measurable business value by coordinating cross-functional stakeholders, technical teams, and executive reporting to embed AI into core operations.

Lead Cints AI Transformation Office to define enterprise AI strategy, operating model, portfolio prioritisation and governance. Drive measurable workflow redesign, adoption, value realisation and executive reporting while coordinating technical architecture, security, data readiness and cross-functional delivery.

Lead Cint's AI Transformation Office to define enterprise AI strategy, operating model and roadmap. Prioritise and govern AI portfolio, ensure measurable business value, enable adoption, coordinate technical dependencies, and report progress to executives and board.

Lead cross-functional AI workflow transformation by identifying opportunities, redesigning processes, coordinating delivery, navigating governance, measuring value, and driving adoption to scale AI-enabled operating improvements.

Lead cross-functional AI workflow transformation by identifying high-value opportunities, redesigning workflows, shaping delivery plans, coordinating governance and technical partners, measuring value, and supporting adoption to scale AI-enabled operating improvements.

The Staff MLOps Engineer will develop and oversee the AI/ML platform, focusing on the Synthetic Data initiative and ensuring efficient ML lifecycle management, training infrastructure, model serving, and mentoring.

The Staff MLOps Engineer will own the AI/ML platform, focusing on the Synthetic Data Platform, overseeing the ML lifecycle, building infrastructure, and mentoring engineering teams while ensuring cost-effectiveness and system performance.

As a Senior Software Engineer, architect modernization efforts, transition codebases, collaborate with product teams, and ensure system reliability using observability tools.

Design, implement, scale, and maintain backend systems that process large volumes of data. Build/event-driven and API-based integrations, optimize performance-sensitive workflows, lead migrations to domain-based architecture, investigate technical issues, and collaborate closely with data science and cross-functional teams while mentoring junior engineers.

Design, implement, scale, and maintain backend systems that process large volumes of data. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, troubleshoot production issues, and collaborate with product and data science. Mentor junior engineers and deliver high-throughput, low-latency production systems.

Design, implement, scale, and maintain backend systems that process large data volumes. Build event-driven and API-based integrations, migrate toward domain-based scalable architecture, optimize performance-sensitive workflows, and collaborate with Outcomes, Methodology, Recruitment, product, and data science teams to resolve complex technical problems.

Design, implement, scale, and maintain backend systems processing large data volumes. Build event-driven and API integrations, migrate toward domain-based architecture, optimize performance-sensitive workflows, investigate technical problems, collaborate with product and data science, and mentor junior/mid-level engineers.

Own a portfolio of global strategic accounts to drive adoption, retention, and revenue. Onboard and train users, monitor account health, diagnose platform issues, identify upsell/cross-sell opportunities, and advocate customer needs across Sales, Product, Support, and Technical teams. Regular travel to major accounts and cross-timezone support required.

The Chief of Staff to the CTO will coordinate schedules, manage travel, support executive meetings, and handle sensitive projects and financial processes.

The role involves redesigning compensation strategies, developing analytical frameworks, and utilizing AI tools to enhance workforce decisions, budgets, and employee support systems.

Lead architecture and implementation of platform modernization from a .NET monolith toward a unified Java/Spring stack. Design zero-downtime migration patterns, build and transition services, collaborate with product and distributed teams, implement observability with Grafana and tracing, and leverage agentic programming tools to accelerate refactoring and development.