Engineering or computer science degree from a top-tier institution
2-5 years in a technical, client-facing or implementation role
Strong analytical and problem-solving skills
Proficiency with formulas, logic, and structured modeling
Familiarity with SaaS platforms or planning tools
Ability to manage multiple stakeholders and projects
Responsibilities
Build and deploy custom AI-powered planning solutions
Translate complex business challenges into scalable AI models
Partner with stakeholders to design AI-driven solutions
Act as a trusted advisor for best practices
Develop prototypes for experimental AI use cases
Collaborate with Product and Engineering teams
Train users on Pigment features and scalable system design
Benefits
Flexible work arrangements with a hybrid work model
Opportunities for professional development
Access to cutting-edge AI technology and tools
Collaborative team environment
Strong emphasis on innovation and experimentation
Full Job Description
What you'll do
We are looking for an AI Deployment Strategist to join our growing team. In this role, you will work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment.
This is a highly cross-functional role at the intersection of engineering, data, and business problem-solving. You will own the end-to-end implementation of Pigment's AI capabilities for strategic customers - from translating business problems into models, to deploying agentic AI solutions in production.
You will play a key role in shaping how organizations leverage Pigment to transform their planning processes, while acting as a critical feedback loop between customers and our Product and Engineering teams.
What you'll work on Build & deploy AI-powered solutions
Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic
Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes
Own end-to-end implementation of Pigment for key customers
Work directly with customers
Partner with business and technical stakeholders to rethink processes and design AI-driven solutions
Act as a trusted advisor, guiding customers on best practices
Drive adoption and ensure customers maximize value from Pigment
Prototype & innovate
Develop prototypes and experimental AI use cases to solve emerging customer needs
Test and iterate on new approaches to agent-based planning and automation
Bridge product, engineering, and customers
Collaborate closely with Customer Success, Solutions Architects, and Product teams
Translate customer feedback into clear product requirements and specifications
Contribute to the evolution of Pigment's AI capabilities
Enable and scale
Train users and teams on Pigment features, modeling best practices, and scalable system design
Help define repeatable patterns and frameworks for AI deployments across customers
What we're looking for Required
Engineering or computer science degree from top tier institution
2-5 years in a technical, client-facing, or implementation role, such as:
Forward Deployed Engineer
Data Scientist / AI Engineer
Solutions Architect / Solutions Engineer
Technical or Implementation Consultant
Strong analytical and problem-solving skills with experience in:
Data modeling, analytics, or business logic design
AI / ML concepts or applied data workflows
Proficiency with:
Formulas, logic, and structured modeling
Programming (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
Nice to have
Background in FP&A, financial modeling, or business planning workflows
Prior experience with Pigment or similar platforms
Additional European language(s) outside of English
What success looks like
Customers successfully deploy and adopt AI-powered planning workflows
Innovative agentic AI solutions are built and scaled across use cases
You are seen as a trusted technical partner by customers
