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Forward Deployed Engineer

Forma.ai·Canada·Toronto, Canada·mid
pythondata science
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About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Role Forma.ai is hiring a Forward Deployed Engineer to work directly with our Revenue Optimization team and customers to build data-driven solutions for territory design, quota setting, market potential analysis, and seller performance. This role sits at the intersection of software engineering, applied data science, and customer delivery. You will embed closely with business and customer-facing teams, quickly understand each customer’s data and objectives, and turn ambiguous problems into working solutions. We are looking for someone highly driven, resourceful, and energized by solving difficult customer problems. You will be expected to take ownership, move with urgency, and persist through messy data, unclear requirements, and changing constraints to deliver meaningful outcomes. Early solutions may be customer-specific, including Python models, simulations, data workflows, reports, and rep-level recommendations. A key part of the role is identifying repeatable patterns and turning successful implementations into reusable tools, libraries, and workflows that can support future customers. This is not a traditional product engineering role. It is designed for someone who enjoys working close to customers, rolling up their sleeves, and owning problems from initial discovery through deployment and adoption. What You’ll Do Work directly with Revenue Optimization leaders, analysts, and customers to understand their objectives, data, and operational constraints. Build and deploy Python-based models,

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