Compared with the selected benchmark ("All roles in New York, United States"), this listing's salary midpoint is about 91% lower. The offer sits below the benchmark range (€2,208–€18,809). The listed pay band (€880–€916) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 6 comparable listings.

Monthly salary comparison for AI Deployment Strategist
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in New York, United States	€2,208/per month	€10,779/per month	€18,809/per month

About the role

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.

Job Details

Responsibilities

Translate business problems into scalable Pigment models
Design, build, and deploy AI agents tailored to customer workflows
Own end-to-end implementation of Pigment for key customers
Partner with stakeholders to rethink processes and design AI-driven solutions
Act as a trusted advisor to guide customers on best practices
Drive adoption and ensure customers maximize value from Pigment
Develop prototypes and AI use cases to solve emerging needs
Test and iterate on agent-based planning approaches
Collaborate with Customer Success, Solutions Architects, and Product teams
Translate feedback into product requirements and specifications
Contribute to evolution of Pigment’s AI capabilities
Train users on Pigment features and best practices
Help define repeatable patterns and frameworks for AI deployments across customers

Requirements

Engineering or computer science degree from top tier institution
2–5 years in a technical, client-facing, or implementation role
Strong analytical and problem-solving skills with experience in data modeling, analytics, or business logic design
Proficiency with formulas, logic, and structured modeling; Programming (Python, SQL)
Familiarity with SaaS platforms, APIs, data pipelines, and system integration
Ability to manage multiple stakeholders and projects in fast-paced environments