IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.
At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.
We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.
By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.
We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.
If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.
Job Description
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). Acting as the commercial and proposition owner across these offerings, 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.
This is a cross-portfolio role rather than a single-product sales role. AI is a collection of capabilities spanning machine learning through to agentic and frontier large language models, and the Optimisation portfolio completes that stack: PSO, MSO, and WISE apply machine learning to autonomous scheduling, planning, and predictive decisioning, increasingly integrated with agentic and frontier AI approaches to extend what customers can do with them. The AI Optimisation GTM Lead is responsible for defining the strategy and narrative that connects PSO, MSO, and WISE within this broader AI stack: how optimisation, scheduling, and predictive modeling combine to help customers make better decisions, faster, with less manual effort. The role owns the offering GTM plan, faces off directly to the product teams, and carries a number for the portfolio.
Success in this role is measured through pipeline generation, proposition and GTM adoption, strategic deal influence, and overall commercial performance of the Optimisation portfolio.
Key Responsibilities
Portfolio Strategy & Proposition
Own and execute the global GTM strategy for the Optimisation portfolio (PSO, MSO, WISE), ensuring alignment across Product, Sales, Marketing, Customer Success, and Partners.
Act as the commercial owner and cross-portfolio AI strategist for Optimisation, defining the common theme and narrative that connects PSO, MSO, and WISE as a single proposition rather than three disconnected products.
Sales Plays & Commercial Strategy
Define, launch, and optimise high-impact sales plays for PSO, MSO, and WISE — individually and as a combined optimisation proposition.
Identify market opportunities, competitive positioning, and customer use cases across field service, high-tech and discrete manufacturing, and scenario planning.
Strategic Deal Leadership
Pipeline Growth & Revenue Enablement
Monitor pipeline health, campaign effectiveness, and conversion metrics, recommending corrective actions where required.
Cross-Functional Collaboration
Partner with Marketing to create compelling messaging, customer stories, thought leadership, and campaign content that articulate the Optimisation portfolio's AI narrative.
Performance Management & Continuous Improvement
Define and monitor key commercial performance metrics across pipeline generation, win rates, deal progression, and GTM effectiveness for the portfolio.
Provide regular updates and recommendations to senior leadership, including the AI Business Unit, on market performance, strategic opportunities, and execution priorities.
Success Measures
Success in this role will be demonstrated through:
Establishment of a single, coherent Optimisation portfolio narrative and proposition across PSO, MSO, and WISE.
Qualifications
Qualifications & Experience
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.
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.
Skills & Competencies
Ability to translate complex AI, optimisation, and scheduling concepts into clear, customer-facing propositions.
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
