Who We Are Artefact is an applied AI company. We build systems that run in production, in our clients' own cloud, and keep running after we leave. 2,500+ people across 27 countries and 1,000 clients, including some of the largest consumer brands in the world. Not a strategy house that discovered AI eighteen months ago, and not a prototype shop that hands you something you will rebuild from scratch. Three ingredients make that possible, and very few firms have all three: the data, real and messy and at enterprise scale; an applied AI team that can put a model into a governed production environment; and the transformation muscle to make people actually use it. Agentic AI lands on marketing before it lands anywhere else. Agents browse, compare and buy; clicks stop meaning what they meant; the shelf turns into an API. Every senior marketing and commerce leader we talk to is asking the same two questions — am I still visible, and can I still prove what worked — and almost nobody can answer them. The Role We are hiring a Director to lead marketing measurement and effectiveness for our US client portfolio, starting with a large, in-flight measurement program for a major US financial services client. This is a player-coach role. You will own the methodology and the client relationship, lead a multi-workstream data science team, and stay close enough to the models to challenge assumptions, review code and unblock hard technical problems yourself. You will also help us productize what we build — turning measurement work into reusable accelerators and points of view that scale across accounts. You should be able to step into a live, complex measurement program quickly and earn credibility with senior client stakeholders in the first weeks, not the first quarter. What You'll Do You will own the hardest question in marketing: what actually caused the sales. Marketing Mix Modeling, incrementality testing, geo-lift, attribution — for a brand where a few points of budget reallocati
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Role overview
Job description
About the job Do you think like a management consultant, thrive in a startup environment, and can’t stop thinking about the intersection of data, technology, and marketing? With over 2000 employees, offices on five continents, and world-class clients like Samsung, L’Oreal, and Mattel, Artefact is a consulting firm that transforms data into value and business impact. We’ve recently launched in the US with offices located in NYC and Los Angeles, and we want you to join us as an integral part of our founding team! Who We Are Founded and headquartered in Paris, Artefact is a next-generation consulting firm, specializing in data, analytics & AI consulting, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we help our clients grow their data and digital capabilities, and that we’re also growing in parallel. We have 2000
…What they are looking for
Skills & requirements
Qualification
What you will be doing You will lead a team of AI & machine learning engineers and managers, driving the design and delivery of production-grade AI solutions — from classical machine learning models to LLM-powered applications — and the pipelines that power them; AI & ML Solution Architecture: Leading the design, build, and optimization of production AI systems — classical machine learning models, LLM applications, and agentic systems — ensuring scalability, reliability, and cost-efficient inference; Harness Engineering: Directing the build of robust agent harnesses — orchestration layers, evaluation frameworks, guardrails, and observability — that make LLM systems reliable, safe, and measurable in production; Machine Learning Modeling: Overseeing the development of classical and modern ML models — predictive modeling, forecasting, recommendation, and deep learning — choosing the right technique for each business problem, LLM or not
Department · Data Science

Hiring company
Artefact
Global data and AI consulting company. From strategy to deployment: AI solutions by industry, data platforms, governance, analytics and data marketing.
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