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Sr. AI Customer Success Manager

QAD Redzone
Manchester, GBR
Full-time
Senior · 5+ years experience
Remote
Discovered 5 days ago
sql

Full Job Posting

About QAD:

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

#LI-Remote

QAD is building a world-class SaaS company, and we are growing. We are looking for talented individuals who want to join us on our mission to help solve relevant real-world problems in manufacturing and the supply chain.

We are a virtual first company and your primary work experience will be virtual / working from your home. Occasional travel to a physical office may be required to enhance working relationships, collaboration, design, strategy and alignment.

Qualifications

  • Manufacturing & Operational Domain Acumen: Solid understanding of strategic sourcing, Sales Ops, supply chain risk management, inventory optimization, and shop-floor/back-office productivity levers.
  • AI Literacy: Solid understanding of artificial intelligence concepts, large language models (LLMs), or data analytics infrastructure.
  • Data Fluency: Ability to interpret data trends, run basic data queries (e.g., SQL, Excel), and build clear reporting frameworks.
  • Product Adaptation: Highly capable of mastering a rapidly evolving, technical product ecosystem.
  • Knowledge of CRM Software & CS Platform
  • Communication: Exceptional presentation skills to translate dense technical AI processes into clear business value.
  • Ambiguity Management: High adaptability to navigate shifting requirements in a fast-paced, high-growth startup environment.
  • Relationship Building: Natural ability to build deep customer trust and diffuse escalations empathetically.
  • Professional History: 5+ years in customer-facing or operational roles (e.g., Customer Success, Technical Account Management, Management Consulting, or Operations), ideally within manufacturing, supply chain, or enterprise SaaS environments.
  • Domain Exposure: Practical experience with manufacturing/supply chain workflows (e.g., sourcing, AP/procurement, inventory management, Sales Ops) alongside exposure to enterprise AI/ML platforms, developer tools, or business process automation.
  • Education: Bachelor's degree in Business, Computer Science, Data Analytics, or a related field (or equivalent practical experience).

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