2 дня назад
Deployment Strategist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Deployment Strategist (AI): Owning enterprise AI deployments from customer discovery through workflow design, implementation, rollout, training, and adoption with an accent on translating operational problems into practical technical workflows. Focus on prototyping integrations, navigating executive and engineering stakeholders, driving organisational change, and turning bespoke customer patterns into scalable product insight.
Location: On-site in London, United Kingdom
Company
builds secure, compliant, reliable, maintainable, and scalable AI-powered enterprise software tailored to each customer's environment.
What you will do
- Lead customer discovery to identify operational bottlenecks, high-impact workflows, and deployable solutions.
- Own enterprise deployments end-to-end, including workflow design, implementation, rollout, training, and iteration.
- Rapidly prototype and validate AI-powered workflows and integrations with customers.
- Bridge customer stakeholders, product, and engineering teams to align priorities and maintain delivery momentum.
- Drive adoption by designing usable workflows, building internal champions, and reducing implementation friction.
- Translate recurring customer patterns into product insights and navigate executive, operational, and technical stakeholders.
Requirements
- Strong background in customer-facing, ambiguous environments such as solutions engineering, deployment strategy, consulting, customer engineering, or operational transformation.
- Track record of translating business problems into practical technical workflows and driving organisational change.
- Comfort discussing APIs, integrations, AI systems, and deployment constraints with engineering teams.
- Experience deploying AI, automation, or workflow systems in enterprise environments.
- Strong structured thinking, customer instinct, ownership, and ability to operate across executive, operational, and technical audiences.
Nice to have
- Familiarity with prompt engineering, workflow orchestration, or LLM-powered products.
- Experience running enablement sessions or customer training programmes.
- Background identifying scalable patterns in bespoke customer work and influencing product direction.
Culture & Benefits
- High-impact work shaping the future of enterprise software and AI-enabled business solutions.
- Ownership and visibility within a small, high-performing team.
- Opportunity to use the same cutting-edge AI tools delivered to enterprise customers.
- Collaboration with a team experienced in solving complex enterprise challenges.
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