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Artificial Labs

Automates commercial underwriting and contract workflows.

Senior Client Success Manager

Customer SuccessConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Proven experience navigating commercial and specialty insurance markets, such as Lloyd’s, the London Market, or US commercial lines.
  • A strong track record in Customer Success or Account Management, with a proactive approach to building relationships.
  • A genuine passion for digital transformation and a desire to help modernise the industry.
  • Executive-level communication skills, strong problem-solving ability, and confidence navigating challenging conversations with clients.
  • Experience handling multiple clients in the Client Success or Account Management space.
  • Ability to communicate complex technical concepts clearly and simply to clients.
  • Familiarity with Google Suite, Notion, Slack, Figma, Asana, or similar collaboration tools is advantageous.
  • Comfort working in a fast-changing scale-up environment with ambiguity and flexibility.
  • Willingness to travel to client sites for meetings as required.
  • Self-starter with strong interpersonal, communication, collaboration, and presentation skills.
  • Willingness to learn and grow with the company and to share knowledge and identify improvements across the business.

Responsibilities

  • Lead client engagements from initial planning through delivery and into business-as-usual operations, ensuring a high-quality service experience and successful outcomes.
  • Onboard new clients and deliver solutions end to end, from Commercial handover through go-live and into business-as-usual steady state, ensuring quality service and value creation.
  • Develop trusted relationships with client stakeholders and coordinate activities to understand their business objectives, workflows, and integration requirements and drive solution adoption.
  • Act as the client advocate within Artificial, collaborating with Product, Forward Deployed Engineers, and Client Success teams to shape implementation plans and influence product enhancements.
  • Define project objectives, scope, and milestone timelines; establish programme-level governance, roles, and responsibilities to ensure timely, high-quality product delivery aligned with client objectives.
  • Oversee user acceptance testing and deliver client training sessions remotely and on-site to ensure launch readiness and ongoing product proficiency.
  • Transition clients from implementation to business-as-usual operations, ensuring a smooth handover, clear documentation, and ongoing client satisfaction.
  • Analyse platform usage, integration performance, and operational metrics to monitor adoption and identify optimisation and growth opportunities.
  • Capture client feedback, manage change requests, and provide structured insights to improve client experience, delivery processes, and product capabilities.
  • Partner with Support, Product, and Engineering teams to triage and resolve live issues, ensuring service-level agreement adherence and continuous improvement of service quality.
  • Represent the company in client meetings, workshops, and industry events.

Desired Qualifications

  • Commercial and specialty insurance market experience.
  • Knowledge of underwriting or brokering operations.
  • Transformation experience managing complex or enterprise-level accounts.
  • A change management certification, such as Prosci.

About the Company

Artificial Labs

Automates commercial underwriting and contract workflows.

Artificial Labs builds cloud-based tools and machine learning software to help commercial insurers and brokers work faster and smarter. Its products automate manual tasks, improve risk assessment, and speed up placing commercial and specialty risks. Key offerings include a Contract Builder that streamlines data entry and ensures digital contract compliance, and an Underwriting Platform that supports streamlined data capture, analysis, and policy placement. The company partners with global insurers and brokers, earning revenue from subscriptions and service charges for using the platforms. Compared with competitors, Artificial Labs focuses on automating workflows and data governance across commercial and specialty lines, providing integrated tools that improve control over data and overall underwriting performance. The goal is to help clients increase efficiency, accuracy, and profitability in their commercial insurance operations.

Company size
51-200
Company stage
Series B
Total funding
$75.6M
Headquarters
London, United Kingdom
Founded
2013

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