Implementation Consultant (AI SaaS)
New
Based in the United States, flexible working hoursFull-TimeMiddle
Salary85,000 - 105,000 USD per year
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Job Details
- Required Skills
- Project ManagementArtificial IntelligenceQuality AssuranceSaaSLLM
Requirements
- Experience in implementation, consulting, solutions engineering, onboarding, or technical customer success roles within SaaS or technology environments
- Strong understanding of AI concepts, including Large Language Models, and ability to explain them clearly to technical and non-technical audiences
- Excellent communication skills, both written and verbal, with strong attention to detail
- Proven ability to run workshops, engage stakeholders, and manage complex customer relationships
- Strong analytical mindset with ability to break down and solve complex business problems
- Experience working cross-functionally with Product, Sales, and Customer Success teams
- Ability to manage multiple implementations and prioritize effectively in a fast-paced environment
- Customer-centric mindset focused on enabling independence rather than dependency
- Bonus: experience in contact center technology, QA platforms, CCaaS, workforce engagement, or AI-driven process transformation
Responsibilities
- Lead end-to-end customer implementations from discovery and planning through configuration and go-live
- Conduct discovery sessions and workshops to understand client QA processes and define solution requirements
- Translate complex business workflows into scalable AI-driven configurations within the platform
- Deliver customer training sessions and ensure successful onboarding and product adoption
- Collaborate with Customer Success, Sales, Product, and Technical teams to ensure seamless delivery
- Identify project risks, manage timelines, and ensure successful implementation milestones are met
- Act as a trusted advisor to customers, guiding best practices for AI-enabled quality management
- Gather customer insights and feedback to inform product improvements and future enhancements
- Support continuous improvement of implementation methodologies and internal delivery practices
- Ensure customers are fully enabled and self-sufficient post-implementation
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