AI Deployment Strategist

About the role

About Freehand Most AI companies are building tools. We're building the worker. Freehand's AI agents replace the human decision-making and coordination layer that sits above enterprise software — handling the analysis, negotiation, prioritization, and execution that previously required armies of logisticians / supply chain professionals. Our customers include Apple, Meta, GE, Pfizer, J&J, Schlumberger, Cardinal Health, and Unilever. They chose us because we have a fundamentally different answer to what enterprise software looks like when AI can do the job. If you want to work on something that matters, with people who will push you to be sharper than you thought you could be, this is the place.

Responsibilities

• Act as a strategic advisor to enterprise customers across operations, finance, supply chain, and IT teams.
• Partner with customers to define business objectives, requirements, priorities, and transformation roadmap.
• Build strong relationships with customer stakeholders from operational teams to executive leadership.
• Help customers rethink workflows, freight operations, payments, and enterprise processes through technology.
• Design end-to-end enterprise solutions integrating ERP, TMS, Spend management, and other enterprise systems.
• Create solution architecture, design documents, process flows, and implementation blueprints.
• Translate business requirements into scalable technical and functional solutions.
• Ensure solutions align with enterprise architecture, security, governance, and scalability requirements.
• Lead end-to-end implementation and migration of enterprise customers onto the platform.
• Drive execution across integrations, data migration, testing, and go-live.
• Manage complex, multi-stakeholder enterprise implementations.
• Ensure successful adoption, delivery excellence, and business value realization.
• Partner with product and engineering teams for integrations, feature adoption, and product improvements.
• Provide customer insights and feedback to influence product roadmap and platform capabilities.
• Act as the bridge between business stakeholders and technical teams.
• Analyze customer data, workflows, and operations to identify improvement opportunities.
• Recommend process optimization, automation, and cost reduction opportunities.
• Define business outcomes and measure success metrics post-implementation.
• Establish implementation best practices, frameworks, and delivery playbooks.
• Continu