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AI Deployment Strategist

Pigment
Full Time
TorontoPosted 5 weeks ago

Role Overview

Pigment is hiring a AI Deployment Strategist. This is a full-time role in Toronto. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Join Pigment: Transforming Business Planning and Performance with AI

Founded in 2019, Pigment stands out as one of the fastest-growing SaaS companies globally, redefining business planning and performance with our AI-powered platform. We empower organizations across diverse industries, including Consumer Packaged Goods, Retail, and Technology, to seamlessly integrate data, people, and processes, enabling them to plan and adapt rapidly.

With a vibrant team of over 500 professionals across North America and Europe, and offices in New York, Toronto, London, Paris, and the Bay Area, Pigment has successfully secured nearly $400 million in funding from leading global venture capitalists. Our recognition as a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software underscores our commitment to excellence, as we proudly partner with industry leaders like Unilever, Vinci, Kayak, Siemens, and Coca-Cola.

At Pigment, we champion smart risks, celebrate bold ideas, and challenge the status quo—all as a united team. Every team member has the opportunity to make a significant impact and tackle ambitious challenges. Together, we pursue excellence with a collaborative spirit, continuously raising the bar to ensure strong performance and a proactive approach while fostering an environment of humility.

If you are passionate about innovation and wish to collaborate with some of the brightest minds in the industry, we would love to hear from you!

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

Strong feedback loops drive continuous product improvement

Repeatable patterns emerge to scale AI deployments across Pigment customers

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About Pigment

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Pigment

pigment.com

On-site

44 other open roles at Pigment on TryApplyNow.

Frequently Asked Questions

How do I apply for the AI Deployment Strategist position at Pigment?

Use the Apply button above to submit your application directly to Pigment. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the AI Deployment Strategist position at Pigment located?

This position is based in Toronto. Pigment has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a AI Deployment Strategist at Pigment earn?

Pigment has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the AI Deployment Strategist role at Pigment posted?

This role was posted on June 8, 2026 (36 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

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