Lead AI and Data Science

Join Pigment: The AI Platform Redefining Business Planning

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 500+ across Paris, London, New York, San Francisco, and Toronto, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software.

At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you.

Role overview :

As Lead of AI, 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.

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.

Listen to our podcast on Pigment's GenAI team

Read more about our vision: Agentic AI for Data Analysis

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.

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

Experience in People Management

Track record of public contributions (open source, publications, conferences/meet-up)

We are looking for someone who can demonstrate several successful experiences in a similar position for at least 7 years.

We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.

Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace.  All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability,  sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.