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AI Deployment Strategist

PigmentSan FranciscoProfessional Services
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Salary
Not listed
Job type
Full-time
Posted
8 Jun 2026
Status
Open · checked 8d ago

About this role

The AI Deployment Strategist role at Pigment in San Francisco is an exciting opportunity for a technical professional to lead end-to-end implementations of advanced AI planning solutions. This position suits an analytical problem solver with a background in engineering, data science, or technical consulting who wants to drive enterprise transformation.

Role Overview

Pigment is hiring an AI Deployment Strategist to work directly with strategic customers in San Francisco. In this cross-functional position sitting at the intersection of engineering, data, and business, the individual will own the deployment of agentic AI solutions in production. Responsibilities include translating complex business challenges into scalable models, partnering closely with technical and business stakeholders, and serving as a crucial bridge between customers and internal Product and Engineering teams.

Key Responsibilities

Design, build, and deploy custom AI agents and agentic AI planning solutions tailored to client workflows and decision-making processes.
Manage the complete implementation lifecycle of Pigment for key accounts from initial model design to production deployment.
Act as a trusted advisor to guide clients on best practices, drive user adoption, and maximize long-term product value.
Prototype and innovate by developing experimental AI use cases and testing new approaches to automation and planning.
Translate customer feedback into actionable product requirements while collaborating with Customer Success and Solutions Architects.
Train users on platform features, modeling best practices, and repeatable patterns for scalable system deployment.

Requirements

Engineering or computer science degree from a top-tier institution.
2 to 5 years of professional experience in a technical, client-facing, or implementation role such as Forward Deployed Engineer, AI Engineer, Data Scientist, Solutions Architect, or Technical Consultant.
Strong analytical and problem-solving background covering data modeling, analytics, business logic design, and applied machine learning workflows.
Proficiency in structured modeling, logic, and formulas, along with programming familiarity in Python, SQL, or similar languages.
Familiarity with SaaS platforms, planning tools, APIs, data pipelines, and system integration concepts.
Proven ability to handle multiple stakeholders and manage complex projects in a fast-paced environment.

Nice to Have

Background in financial modeling, FP&A, or business planning workflows.
Prior hands-on experience with Pigment or comparable enterprise platforms.
Proficiency in additional European languages outside of English.

Skills and Tools

Python
SQL
Snowflake
Data modeling and analytics
AI and machine learning workflows
APIs and data pipelines
SaaS platform integration

How to Apply

Interested candidates should visit the official Pigment careers page to submit their application for the AI Deployment Strategist position.

Skills and tech stack

PythonSQLSnowflake

Questions candidates ask

What is the location of the AI Deployment Strategist role?

The position is based in San Francisco.

What type of experience is required for this job?

Candidates need an engineering or computer science degree from a top-tier institution and 2 to 5 years of experience in a technical, client-facing, or implementation role.

What programming languages are helpful for this position?

Proficiency or familiarity with Python and SQL is a plus.

What are the core responsibilities of the AI Deployment Strategist?

Responsibilities include designing and deploying custom AI agents, managing end-to-end customer implementations, acting as a trusted advisor, prototyping innovative AI use cases, and bridging feedback between customers and product teams.

Are there any nice-to-have qualifications listed?

Yes, helpful backgrounds include financial modeling or FP&A, prior experience with Pigment or similar platforms, and fluency in additional European languages.

Ready to apply?

The application is on the official Pigment careers page.

Apply on company site