Agiloft is a global leader in data-first contract lifecycle management (CLM) software, helping organizations manage their contract processes. The Technical Customer Success Manager role involves working directly with enterprise customers to identify opportunities and implement AI-enabled solutions, ensuring customer value delivery through effective deployment and optimization of workflows.
Responsibilities:
- Partner directly with enterprise customers to identify opportunities and unmet needs, and quickly translate loosely defined requirements into actionable, working solutions within the product
- Co-develop business and technical requirements with solution pattern domains
- Configure and deploy AI-enabled workflows using Agiloft Screens and PromptLab
- Translate real-world use cases (e.g., regulatory review, contract analysis, automation needs) into implemented solutions
- Diagnose and resolve workflow, configuration, and integration challenges
- Determine when to guide customers through solutions versus directly implementing on their behalf to accelerate outcomes
- Tune prompts and evaluate model outputs for reliability and consistency
- Embed AI capabilities directly into operational workflows
- Validate and refine AI-driven outputs to meet business requirements
- Define activation success criteria and usage metrics for each deployment
- Optimize workflows to increase sustained, repeatable usage
- Partner with CSMs to convert initial deployments into habit-forming workflows
- Ensure AI implementations translate into business outcomes customers value
- Act as a technical execution partner within Customer Success Manager-led activation strategies
- Train customer administrators and superusers
- Document implementation patterns and best practices
- Provide consistent product feedback based on real-world deployments
- Collaborate closely with Customer Success, Professional Services, and Product teams
- Contribute to development of repeatable AI activation patterns and playbooks
- Identify opportunities to standardize and scale successful implementations
- Provide feedback on when FDE vs CSM vs Professional Services should engage
- Surface common blockers and inform Product and Enablement teams
- Other duties as assigned
Requirements:
- Strong client-facing communication skills — able to engage both technical and business stakeholders
- 3–6 years of experience implementing or configuring enterprise SaaS platforms
- Experience working with LLM tooling and prompt engineering in applied environments
- API and integration experience in production environments
- Ability to translate business requirements into technical architecture
- Comfortable working independently in a fully remote environment
- Working knowledge of Python or another commonly used programming language
- Familiarity with RAG (Retrieval-Augmented Generation) architectures
- Experience integrating SaaS platforms with CRM, ERP, or document management systems
- Experience with workflow automation or process automation platforms; legal tech and CLM experience are a plus
- Experience in regulated industries
- Exposure to change management frameworks
- Experience designing or implementing enterprise integrations is highly valued