Senior AI Deployment Consultant

Responsibilities

• Lead end-to-end deployment programs for large customers, ensuring successful and timely implementation of Intercom and Fin.
• Define project scope, success criteria, and timelines aligned with customer goals and support models.
• Act as the primary customer contact throughout implementation, managing communication, alignment, and expectations.
• Partner with Sales, Customer Success, Engineering, and Product teams to design deployment strategies and deliver measurable outcomes.
• Facilitate discovery sessions, understand customer requirements, and translate them into technical and project plans.
• Configure Intercom features, including automation, workflows, technical procedures, and reporting, with support from Forward Deployed Engineers for advanced integrations.
• Coordinate integrations, data migrations, and security reviews.
• Track metrics such as time-to-value, automation rates, and customer satisfaction, taking proactive steps to ensure successful outcomes.
• Collaborate with Product and R&D to surface feedback and identify improvements.
• Contribute to Deployment Services methodologies, templates, and best practices.

Requirements

• 6+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally in SaaS or AI technology companies.
• Experience managing large, complex projects with multiple stakeholders and workstreams.
• Strong technical aptitude, including comfort configuring software platforms and discussing integrations, APIs, and data flows.
• Excellent project management skills with a structured, proactive, and detail-oriented approach.
• Exceptional communication and relationship-building skills with executives and technical stakeholders.
• Analytical problem-solving, prioritization, and decision-making skills.
• Adaptability and resilience in a fast-paced, changing environment.
• Passion for technology, AI, and customer success.

Nice to have

• Experience implementing or configuring Intercom, Zendesk, Salesforce, or similar customer experience platforms.

Success measures

• Automation rate: Driving high customer adoption of Fin.
• Customer satisfaction: Delivering a positive and thorough customer experience.
• Timeliness: Keeping projects on schedule against agreed timelines.

Compensation and benefits

• Competitive salary and equity.
• Pension scheme with matching contributions up to 4%.
• Life assurance and comprehensive health and dental insurance for employees and dependents.
• Flexible paid time off.
• Paid maternity leave and six weeks of paternity leave.
• Cycle-to-Work Scheme and secure bike storage.
• MacBook standard, with Windows available for certain roles.
• Lunch provided on weekdays, snacks, and a stocked kitchen.
• Regular compensation reviews.
• Access to Claude Code and other AI tools.
• Hybrid working policy with at least three days per week in the office.