5 months ago
Austin, TX, USAMid Level
Responsibilities
- Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic.
- Design, build, deploy, and scale custom AI agents and AI-powered planning solutions for strategic customers.
- Own end-to-end Pigment implementations and act as a trusted technical advisor to customers.
- Prototype and test agent-based planning and automation use cases.
- Collaborate with Customer Success, Solutions Architects, Product, and Engineering teams.
- Translate customer feedback into product requirements and specifications.
- 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/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.
- Experience in FP&A, financial modeling, business planning workflows, Pigment, or similar platforms is preferred.
- Additional European language skills beyond English are preferred.
Benefits
- Hybrid work arrangement.
- Background checks are conducted lawfully with candidate consent and information is treated confidentially.
- Equal opportunity employment and an inclusive workplace commitment.
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.