5 months ago
San Francisco, CA, USAMid 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.
- Partner with business and technical stakeholders to redesign processes and guide customers on best practices.
- Develop prototypes, test agent-based planning approaches, and iterate on emerging AI use cases.
- Collaborate with Customer Success, Solutions Architects, Product, and Engineering teams.
- Translate customer feedback into product requirements and contribute to Pigment’s AI capabilities.
- Train users on Pigment features, modeling best practices, and scalable system design.
- Define repeatable patterns and frameworks for 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 or 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, planning tools, APIs, data pipelines, and system integration concepts.
- Ability to manage multiple stakeholders and projects in fast-paced environments.
- FP&A, financial modeling, business planning, Pigment, or similar platform experience is preferred.
- Additional European languages beyond English are preferred.
Benefits
- Hybrid work arrangement indicated by the posting.
- Background checks are conducted lawfully with candidate consent, and information is treated confidentially.
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.