GTM Lead – AI Optimization Product

Role Overview

The GTM Lead – AI Optimization Product is responsible for driving the global go-to-market (GTM) success of IFS’s Optimisation portfolio — Planning & Scheduling Optimization (PSO), Manufacturing Scheduling & Optimization (MSO), and the What-If Scenario Explorer (WISE). This role works across Product, Sales, Marketing, Customer Success, and Partner teams to define the GTM strategy, build the proposition, and accelerate pipeline growth and strategic deal execution.

What You Will Do

The GTM Lead will define the strategy and narrative that connects PSO, MSO, and WISE within the broader AI stack, own the offering GTM plan, face off directly to the product teams, and carry a number for the portfolio.

Why It Might Be a Fit

Success in this role is measured through pipeline generation, proposition and GTM adoption, strategic deal influence, and overall commercial performance of the Optimisation portfolio.

Requirements

• 7+ years of experience in enterprise software, SaaS, or technology organisations within Go-to-Market, Product Marketing, Sales Strategy, Business Development, or related commercial roles.
• Demonstrated success developing and executing global GTM strategies for enterprise software products, ideally spanning multiple products or a portfolio.
• Experience supporting complex enterprise sales cycles and influencing strategic customer opportunities.
• Strong understanding of enterprise software sales motions, including pipeline generation, solution selling, and partner ecosystems.
• Experience working across multiple business functions including Sales, Marketing, Product Management, Customer Success, and Executive Leadership.
• Domain knowledge of optimisation, scheduling, or planning technologies is highly advantageous — for example, field service planning and scheduling optimisation (PSO), manufacturing scheduling and digital-twin-based planning (MSO), or scenario modeling and predictive analytics (WISE / what-if analysis).
• Familiarity with the full spectrum of AI capabilities, from machine learning through to agentic and frontier AI approaches, and the ability to translate technical AI capability into a clear commercial proposition.
• Knowledge of Field Service Management, Enterprise Asset Management, Manufacturing, ERP, Industrial AI, or enterprise business applications is advantageous.
• Bachelor’s degree in Business, Marketing, Engineering, Technology, or a related discipline. MBA is beneficial.

Benefits

• Flexible work arrangements
• Hybrid work opportunities
• Inclusive workplace experiences
• Sense of community
• Opportunities to engage with colleagues and build meaningful relationships