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Magentic

AI digital workers for procurement workflows

Deployment Strategist

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Have 5+ years of experience in a customer-facing delivery or product role.
  • Have managed complex, multi-stakeholder projects at senior levels and kept them moving when priorities shifted.
  • Think commercially by tracking outcomes rather than activities and understanding how successful deployments translate into revenue.
  • Be able to create structure in early-stage ambiguity and make decisions with incomplete information.
  • Communicate effectively in meetings with vice presidents and in written handovers to colleagues.

Responsibilities

  • Own deployments end-to-end by designing rollout strategies at large enterprises, running programmes, and changing course when an approach is not working.
  • Manage senior customer relationships, serve as the first call for director and vice president sponsors, run steering governance, and handle difficult conversations.
  • Identify value beyond the signed scope, prove new use cases with customers, and build the case for subsequent sales.
  • Define best practices for artificial intelligence deployment and turn them into processes that can be used across the organization.
  • Bring product and engineering teams customer problems, evidence, and recommendations to shape the roadmap.

Desired Qualifications

  • Have experience deploying artificial intelligence, automation, or data products inside large organizations.
  • Be familiar with procurement, supply chain, or finance functions in enterprise settings.

About the Company

Magentic

AI digital workers for procurement workflows

Magentic builds AI digital workers for procurement and supply-chain workflows at large industrial manufacturers. Its multi-agent systems run inside tools teams already use (Microsoft Teams, email, and internal enterprise systems) to automate end-to-end tasks from buy-vs-build decisions to contract negotiation, order management and invoice processing across direct and indirect spend. The product embeds autonomous agents into familiar enterprise tools so teams can execute workflows without switching context. The company targets Global 500 manufacturers facing rising workloads and legacy fragmentation, aiming to reduce manual effort and speed procurement outcomes by expanding agent coverage and advancing AI for industrial optimization.

Company size
11-50
Company stage
Series A
Total funding
$23.5M
Headquarters
London, United Kingdom
Founded
2024

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