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Deployment Strategist

SolveAI· Engineering
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LondonFull-timePosted 2mo ago

About the role

Deployment Strategist responsible for end-to-end customer deployments, from discovery through live adoption and expansion, bridging customer needs with product and engineering in an enterprise context.

Responsibilities

  • Lead customer discovery: identify operational bottlenecks, uncover high-impact workflows, and turn vague pain into a deployable solution
  • Own deployments end-to-end: discovery, workflow design, implementation, rollout, training, and iteration
  • Rapidly prototype and validate workflows with customers: shorten the loop between idea and live deployment
  • Act as the bridge between customer stakeholders, product, and engineering: align priorities and keep things moving
  • Drive adoption: design workflows people will actually use, build internal champions, reduce friction
  • Translate customer patterns into product insight: spot what's repeatable and feed it back to the team
  • Navigate stakeholder complexity across executive, operational, and technical audiences

Qualifications

  • Strong background in customer-facing, ambiguous environments: solutions engineering, deployment strategy, consulting, customer engineering, or operational transformation
  • Track record of translating business problems into practical technical workflows
  • Comfortable discussing APIs, integrations, AI systems, and deployment constraints with engineering teams
  • Experience driving adoption and organisational change, not just delivering implementations, but making them stick

Skills

Required:Structured thinkingCustomer instinctOwnership

Benefits

  • High-impact environment: shaping the future of enterprise software
  • Ownership and visibility within a small, high-performing team
  • Empowerment through innovation: use cutting-edge AI tools internally
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About SolveAI

Turn business problems into governed, production software.

SolveAI turns complex business problems into custom AI applications — an enterprise platform to align, build, deploy, and maintain AI solutions.

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