Revenue Optimization Engineer | Forward-Deployed

AIJobs.ai; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

Forma.ai in Toronto is seeking a Forward Deployed Engineer to join the Revenue Optimization team. You will build data-driven solutions for territory design, quota setting, market potential analysis, and seller performance, embedding with customers from discovery to deployment.

You’ll turn ambiguous customer data into repeatable Python-based workflows, models, and reports, delivering practical outcomes while ensuring security and auditability across deployments.

Qualifications

• Strong proficiency in Python for data analysis, automation, or backend work.
• Solid SQL skills with complex datasets.
• Experience with Python data libraries (Pandas, NumPy, SciPy, scikit-learn).
• Good ownership, proactive problem solving, and delivery focus.
• Customer-facing mindset with clear communication and collaboration.

Responsibilities

• Build and deploy Python-based models, simulations, and reports for territory planning and quota design.
• Own problems from discovery to deployment, including documentation and adoption.
• Turn customer-specific solutions into reusable components and workflows.
• Ensure security, auditing, and data governance in all solutions.

Skills

Python

SQL

Data analysis

Pandas

NumPy

SciPy

Scikit-learn

Strong communication

Tools

Git

Docker

Airflow

Job description

Forma.ai in Toronto is seeking a Forward Deployed Engineer to join the Revenue Optimization team. You will build data-driven solutions for territory design, quota setting, market potential analysis, and seller performance, embedding with customers from discovery to deployment.

You’ll turn ambiguous customer data into repeatable Python-based workflows, models, and reports, delivering practical outcomes while ensuring security and auditability across deployments.