Converteo

Data Engineer

• Design, architect, and develop high-performance data pipelines
• Develop Data Quality processes
• Implement robust cloud-native architectures
• Build infrastructure as code using Terraform
• Develop integration pipelines to industrialize the deployment of data platforms
• Use coding assistants and LLMs to accelerate development, generate boilerplate code, and optimize algorithms
• Prepare the data foundations required to feed AI systems
• Collaborate with Product Owners and Product Managers to translate business requirements into data architectures
• Participate in internal Guilds, promote best practices, monitor technology trends, and create reusable assets
• Work under the guidance of a Lead who ensures the overall quality of delivery

Junior Data Engineer

Recruitment

• Analyze the staffing needs of new projects and assign suitable consultants
• Build project teams while balancing skills, financial constraints, timelines, and learning objectives
• Produce and analyze weekly reports on utilization rates and workload forecasts
• Lead the weekly organizational meeting to inform management decisions
• Liaise with Project Directors to anticipate staffing needs
• Work with the HR team to identify risks of overwork, training needs, and declining engagement
• Keep the Napta tool up to date with availability, leave, and workloads
• Structure and lead internal projects to optimize staffing processes
• Collaborate with Finance to track project hours and ensure compliance with budgets

Staffing Manager

Ecommerce

• Participate in e-commerce and omnichannel performance audits for clients
• Analyze user journeys, conversion, and customer acquisition and retention strategies
• Support the implementation of digital strategies and the optimization or redesign of e-commerce platforms
• Define and monitor e-commerce KPIs
• Analyze sales data and develop actionable strategic recommendations
• Conduct competitive analyses and monitor retail and e-commerce best practices and trends
• Contribute to strategic and operational consulting engagements under the guidance of senior consultants and managers

E-commerce Consultant, Final-Year Internship

Artificial Intelligence

• Serve as the day-to-day Converteo engagement lead inside the client's marketing and digital organization
• Manage scope, roadmaps, and stakeholder alignment from initial discovery through execution
• Lead deployment of Agentic Solutions and data foundations for brand discoverability, customer engagement, marketing operations, and customer experience
• Oversee development of standard operating procedures, playbooks, and training programs
• Drive measurable employee adoption across non-technical brand teams
• Guide complex data analysis and scenario modeling
• Translate qualitative LLM outputs, share of voice shifts, and operational metrics into executive-ready presentations and steering committee decks
• Drive program management across Brand Marketing, IT, MarTech, Legal, and external agency partners
• Identify risks and keep deliverables on schedule
• Mentor junior consultants on delivery best practices
• Contribute to Converteo's AI consulting frameworks and North American expansion

Manager, Consulting – Marketing Transformation, AI Enablement

Project Manager

• Participate in scoping and prioritizing AI use cases
• Assess business value, analyze technical feasibility, and evaluate industrialization requirements
• Analyze and structure data, cross-reference information sources, and conduct benchmarks
• Translate business challenges into clear recommendations
• Contribute to the design of AI architectures alongside technology experts
• Participate in discussions on assistant, RAG, agent, and human-in-the-loop patterns
• Support deployment by translating business requirements into specifications
• Co-lead workshops and contribute to change management initiatives with end users
• Draft scoping documents and prepare materials for transformation roadmaps and business cases
• Monitor developments in AI tools, LLMs, and agentic frameworks
• Contribute to the firm’s intellectual property
• Work with IT, CDO, and business unit decision-makers, with guidance from Senior Consultants and Managers

AI Transformation Project Manager – M/F

• Identify high-ROI AI use cases
• Model business value and challenge technology choices, particularly build vs. buy decisions and model selection
• Design agentic workflows and RAG systems with technical experts
• Incorporate governance and security constraints
• Translate business needs into technical specifications
• Co-facilitate workshops with decision-makers
• Support change management initiatives with teams
• Test the latest AI models and conduct advanced technology watch and R&D
• Contribute to strategic projects for executive committees, CIOs and Chief Data Officers at major corporations
• Work under the supervision of a Senior Consultant or Manager

AI Transformation Project Manager Intern – Final-Year Internship

• Define and prioritize portfolios of AI use cases
• Assess value, technical feasibility, and industrialization requirements, and make build-versus-buy decisions
• Structure analytical data and turn ambiguous business problems into defensible recommendations
• Design AI solution architectures in collaboration with technology experts
• Select assistant, RAG, agent, and human-in-the-loop patterns
• Integrate solutions with existing data and application stacks
• Define compliance and security guardrails
• Lead deployment with technical teams
• Translate business challenges into specifications and facilitate workshops
• Drive change among client teams
• Produce scoping documents, transformation roadmaps, quantified business cases, and executive committee presentations
• Contribute to the firm’s research and intellectual property on models, agentic frameworks, and integration standards
• Interact directly with CIOs, CDOs, business unit leaders, and their teams