Implementation Manager

Decagon Decagon · Vertical AI · London, United Kingdom · Deployment Strategists

This role is for an Implementation Manager at a conversational AI platform company. The focus is on leading and scaling the implementation of AI agents for enterprise customers, owning the strategy, playbook, and execution of deployments. The role involves partnering with customers, sales, product, and engineering to ensure smooth, impactful, and successful AI agent rollouts, aiming to improve efficiency and reduce time to value using AI tools and automation.

What you'd actually do

  1. Lead enterprise AI Agent implementations from kickoff through rollout, driving execution, adoption, and business outcomes.
  2. Design implementation strategies tailored to each customer’s goals and technical environment.
  3. Build and own the Implementation playbook, including the processes and standards that enable scalable, high-quality deployments.
  4. Improve speed, quality, and consistency across implementations by identifying bottlenecks and introducing better systems, tooling, and automation.
  5. Partner cross-functionally to scope requirements, configure solutions, and feed insights back into Product.

Skills

Required

  • 4+ years in implementations, consulting, onboarding, project management, or customer-facing technical roles.
  • Experience leading complex software or AI implementations with measurable results.
  • Technical fluency with SaaS platforms, integrations, and APIs.
  • Strong operational instincts with experience building scalable processes or playbooks.
  • Clear communicator who can work effectively with both executives and operators.
  • Highly organized and comfortable bringing structure to ambiguity in a fast-paced environment.

Nice to have

  • Experience deploying AI, automation, or customer service platforms.
  • Familiarity with enterprise systems such as Zendesk or Salesforce.
  • Experience building a new function or operating model from the ground up.
  • Power user of AI tools who uses them to transform workflows, increase leverage, and drive meaningful efficiency gains.

What the JD emphasized

  • AI Agents
  • enterprise environments
  • implementation playbook
  • scalable processes
  • AI implementations