Senior AI Deployment Consultant
About this role
Guiding the largest enterprise accounts through complex implementations, the Senior AI Deployment Consultant drives hands-on configuration of the Fin platform, spanning automation, workflows, and analytics. Operating within the Deployment Services team at Fin, now part of Salesforce, this practitioner oversees end-to-end customer programs by leading discovery sessions, managing technical readiness across data migrations and security protocols, and partnering with Forward Deployed Engineers for advanced technical requirements. The role exists to ensure customers achieve rapid time-to-value and high automation rates while shaping deployment strategy and feeding field insights back into product roadmaps.
Ideal candidates thrive at the intersection of customer success, project execution, and platform configuration, bringing a structured approach to managing project scope, schedules, and budgets. Someone who regularly integrates AI tooling into their own workflow to compress discovery and documentation will find themselves well-aligned with the team's operating cadence.
What you will do
- Own end-to-end deployment programs for large enterprise customers, serving as the primary point of contact and ensuring timely implementation.
- Lead discovery sessions to translate complex customer requirements into actionable technical and project plans.
- Execute hands-on configuration of the Fin platform, covering automation, workflows, and analytics.
- Partner with Forward Deployed Engineers to resolve technical hurdles while maintaining autonomy over standard platform implementation.
- Coordinate technical readiness activities including data migrations, integrations, and security reviews.
- Maintain operational precision through risk logs, structured reporting cadences, and clear escalation paths for internal and customer leadership.
- Collaborate with Sales, Customer Success, Product, and R&D teams to shape strategy and contribute insights back to the product roadmap.
What you need
- Have 5 or more years of experience in customer-facing implementation, deployment, or professional services roles within SaaS or AI technology companies.
- Demonstrate a track record of delivering large, multi-stakeholder projects on time and on budget with low escalation rates.
- Possess hands-on technical capability with fluency in APIs, data flows, and integration patterns to distinguish configuration tasks from engineering requirements.
- Exemplify exceptional communication and relationship-building skills capable of influencing executives and technical stakeholders alike.
- Exercise strong judgment under ambiguity to prioritize and execute when requirements are not fully formed.
- Utilize AI tooling daily in personal workflows for discovery synthesis, documentation, and asset creation.
Nice to have
- Experience with Intercom Helpdesk, Zendesk, Salesforce, or similar CX platforms
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
Fin has a hybrid working policy where employees are expected to be in the office at least three days per week to stay connected and collaborate.
What platforms will I be configuring in this job?
You will own the hands-on configuration of the Fin platform, spanning automation, workflows, and analytics, alongside orchestrating technical readiness across integrations and data migrations.
How is success measured in this position?
Success is measured by automation rate, customer experience scores, on-time and on-budget delivery, time-to-value, and contributions to team templates and best practices.