AI Deployment Strategist — Automate Procurement & ROI

Didero; Greater London; Hybride; GBP 85 000 - 110 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Equity

Health insurance

Unlimited PTO

Wellness stipend

Tech equipment

Catered lunches

Résumé du poste

Didero is building autonomous supply chain solutions. We’re seeking an AI Deployment Strategist to help customers transform procurement by deploying AI agents into real-world operations, mapping workflows, and guiding implementations from kickoff to long-term success.

You’ll configure, test, and tune AI agents, collaborate with Product and Engineering, and develop repeatable playbooks to scale deployments across customers. Occasional on-site work is expected.

Qualifications

• 3+ years of experience across product management, strategy consulting, customer success/deployment or related analytical/customer-facing roles.
• Comfortable with APIs, integrations, and agentic AI; CS background helpful.
• Strong project management skills coordinating multiple stakeholders and driving execution.
• Experience leading complex, customer-facing initiatives from kickoff through adoption.
• Ability to present to senior stakeholders and navigate large organizations.

Responsabilités

• Own the end-to-end post-sale journey, from deployment scoping to onboarding, production, adoption and value realization.
• Map customer workflows, identify automation points, and configure AI agent behavior.
• Advise procurement and operations stakeholders on where automation yields ROI and cost savings.
• Partner with Product and Engineering to surface customer insights shaping the roadmap and drive renewals.
• Build repeatable implementation playbooks as the team scales.

Connaissances

Project management

APIs

Integrations

Strategic advisory

Executive communication

Description du poste

Didero is building autonomous supply chain solutions. We’re seeking an AI Deployment Strategist to help customers transform procurement by deploying AI agents into real-world operations, mapping workflows, and guiding implementations from kickoff to long-term success.

You’ll configure, test, and tune AI agents, collaborate with Product and Engineering, and develop repeatable playbooks to scale deployments across customers. Occasional on-site work is expected.