Senior AI Deployment Consultant

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

It's an exciting time at Fin - especially within our Deployment Services team. We're helping some of the world's most innovative companies transform how they support their customers through AI-powered customer service.

As a Senior AI Deployment Consultant, you'll lead our largest and most complex customer deployments, combining world-class project management with hands-on technical configuration of the Fin platform.

Responsibilities

• Own end-to-end deployment programs for our largest customers, ensuring successful and timely implementation to Fin - acting as a primary point of contact throughout.
• Hold projects to scope, schedule, and budget that align with each customer's unique goals and support model and keep GTM partners current on project state.
• Lead discovery sessions to understand complex customer requirements and translate them into actionable technical and project plans.
• Own the hands-on configuration of the Fin platform,spanning automation, workflows, and analytics,while orchestrating technical readiness across data migrations, integrations, and security protocols.
• Partner with Forward Deployed Engineers to solve complex technical hurdles while maintaining autonomy over the vast majority of platform implementation.
• Coordinate technical readiness activities, including integrations, data migrations, and security reviews.
• Run projects with operational precision: maintained risk logs, a structured reporting cadence to both customer and internal leadership, clear escalation paths, and documented decisions. Surface risk early enough that it can be mitigated rather than managed.
• Partner with Sales, Customer Success, Product, and R&D - shaping deployment strategy up front and feeding what you learn in the field back into the roadmap.
• Contribute to the evolution of our Deployment Services methodology, templates, and best practices.
• Apply AI tooling to your own delivery work to compress discovery, documentation, and asset creation - and share what works back to the team.

Requirements

• 5+ years of experience in customer-facing implementation, deployment, or professional services roles, ideally within SaaS or AI technology companies.
• A track record of delivering large, complex, multi-stakeholder projects on time and on budget with low escalation rates - and a clear point of view on the operating discipline that makes that repeatable.
• Hands-on technical capability. You can configure platforms yourself, and you're fluent enough in APIs, data flows, and integration patterns to know when a requirement is a config problem versus an engineering one.
• Exceptional communication and relationship-building skills, capable of influencing both executives and technical stakeholders.
• Strong judgment under ambiguity - you can prioritize, decide, and move when requirements aren't fully formed, and you're resilient in a fast-paced, changing environment.
• Daily use of AI tooling in your own workflow - discovery synthesis, documentation, customer assets - and the ability to show how it's changed your delivery pace.
• Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms is a plus.

How Will I Be Measured?

• Automation Rate - Are you driving your customers to achieve high adoption of Fin?
• CX Score , do customers rate the deployment experience highly?
• On-time, on-budget delivery , do your projects land against the timeline and scope you committed to?
• Time-to-value , how quickly do customers get to a working, measurable Fin deployment?
• Contribution to the team , the templates, mentorship, and best practices you leave behind.