Senior Lead of AI & Data Science, Pigment

• We are looking for a strong doer who can also communicate and influence across teams, and turn vision into real, shipped product
• Ability to translate technical trends into actionable business strategy
• Analytical and structured approach to problem-solving and prioritization
• Comfortable operating at both strategic and execution levels
• Proven experience building and deploying production-level ML systems, backed by solid data engineering practices
• Strong understanding of experimentation, evaluation metrics, and model governance
• Excellent communication skills, capable of influencing technical and non-technical stakeholders
• Collaborative leader with a vision and the ability to drive alignment
• Capacity to lead projects and mentor other engineers
• We are looking for someone who can demonstrate several successful experiences in a similar position for at least 7 years

Desirable

• As Senior Lead of AI & Data Science, you will define and execute Pigment’s AI vision. Your mission is to identify and lead high-impact AI opportunities, while personally contributing to core projects in a fast-paced, execution-driven environment
• This is a hybrid strategic and hands-on role: you will mentor (and potentially manage) a team of AI engineers and data scientists while being involved as an Individual Contributor (IC)
• You will architect, prototype, and help ship meaningful product innovations powered by AI
• The current projects involve mostly Generative AI (Agentic systems and Retrieval-based pipelines) as well as traditional ML (Forecasting and Optimization). We use Python, leverage external LLM services, and orchestrate agents with LangGraph
• Lead the AI/ML technology watch: monitor, evaluate, and prioritize trends (e.g., LLMs, agents, retrieval systems)
• Translate cutting-edge AI advancements into business-impacting use cases
• Contribute to product strategy by identifying where AI creates competitive advantage
• Define and oversee Pigment’s AI architecture (MLOps, evaluation, observability, model testing)
• Establish frameworks to assess new technologies (benchmarks, ROI, legal/ethical constraints)
• Actively take part in the discussions about scalability, robustness, and maintainability of all AI systems
• Strategize company-level data quality and access
• Mentor, support recruitment and grow a team of Data Scientists and ML Engineers
• Drive AI adoption across Pigment’s teams (Product, Engineering, Design, GTM)
• Develop internal tools, best practices, and documentation to support AI integration