5 months ago
Toronto, CanadaMid Level / Senior
Responsibilities
- Translate customer business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic.
- Design, build, and deploy custom AI agents and end-to-end AI-powered planning solutions for strategic customers.
- Partner with business and technical stakeholders to redesign processes and guide customers on best practices.
- Prototype and iterate on agent-based planning and automation use cases.
- Collaborate with Customer Success, Solutions Architects, Product, and Engineering teams to turn customer feedback into product requirements.
- Train users on Pigment features, modeling practices, and scalable system design.
- Define repeatable patterns and frameworks for scaling AI deployments across customers.
Requirements
- Engineering or computer science degree from a top-tier institution.
- 2–5 years of experience in a technical, client-facing, or implementation role such as Forward Deployed Engineer, Data Scientist, AI Engineer, Solutions Architect, Solutions Engineer, or Technical/Implementation Consultant.
- Experience with data modeling, analytics, business logic design, AI/ML concepts, or applied data workflows.
- Proficiency with formulas, logic, and structured modeling.
- Programming experience with Python, SQL, or similar is a plus.
- Familiarity with SaaS platforms or planning tools, APIs, data pipelines, and system integration concepts.
- Ability to manage multiple stakeholders and projects in fast-paced environments.
- Experience in FP&A, financial modeling, business planning, Pigment, similar platforms, or additional European languages is preferred.
Benefits
- Hybrid work arrangement indicated by the posting.
- Background checks are conducted lawfully with candidate consent, and information is treated confidentially.
- Pigment is an equal opportunity employer committed to an inclusive workplace.
About Pigment
Pigment builds a SaaS planning and performance management platform used by finance, HR, and revenue teams for FP&A, workforce, and sales planning. The product connects data and modeling in real time to support scenario analysis and integrated business planning. Founded in 2019 and headquartered in Paris, it is privately held and counts customers such as Unilever, Snowflake, and Klarna.