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Salary
≈ $47k – $127k per year (Estimated)
Location
In office (Tunis)
Seniority
Middle · 3+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 14, 2026. Infor scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Infor is an enterprise software company headquartered in Atlanta that builds industry-specific business applications, including ERP suites such as Infor LN, M3 and CloudSuite, delivered mainly as multi-tenant cloud services. Founded in 2002 and owned by Koch Industries, it serves manufacturing, distribution, healthcare, public sector and other industries, with development and support centers in the US, India, the Philippines, the Netherlands, Spain, the UK and elsewhere. Its hiring covers software engineers working in Java, .NET and C++, product support and QA analysts, ERP consultants, solution architects, and customer success and sales roles.

Infor’s Augmented Intelligence Services (AIS) team, part of the Velocity Suite organization, helps customers realize measurable business value through AI and machine learning solutions. Our portfolio includes solutions across areas such as pricing, product recommendations, forecasting, inventory optimization, customer intelligence, operational intelligence, inventory intelligence, and data intelligence.

We are looking for a Project Manager to join our AIS team and manage customer-facing AI and machine learning projects from initial requirements through deployment, adoption, and value realization.

In this role, you will work as part of a small, highly collaborative, cross-functional team alongside data scientists, senior scientists, solution managers, product teams, and other internal stakeholders. You will take ownership of project delivery and the overall customer relationship, ensuring stakeholders remain aligned, challenges are addressed proactively, and customers successfully adopt the solutions delivered.

The ideal candidate brings solid experience managing IT or software projects, strong customer and stakeholder management capabilities, and previous exposure to AI-related projects, products, features, or technologies. Deep technical expertise in AI or machine learning is not required, but an understanding of the AI landscape and enthusiasm for working with data-driven solutions are essential.

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