AI Customer Success Engineer
About The Position
Companies are investing heavily in AI yet employees often use only a fraction of what those tools and solutions can do, and the friction remains. The capability exists. The problem exists. What's missing is the connection between them. Do you enjoy solving problems with technology to realize true business value? You can be the bridge between technology and business! As an AI Customer Success Engineer, you will embed yourself with business users to deeply understand their workflows and use cases, build automations and agents through no-code development, analyse user feedback, and drive adoption of AI tooling turning untapped potential into real impact. Beyond enablement, you will create the analytical depth behind custom AI solutions by analysing requirements, conducting demos, guiding users through rollout, and managing feedback channels, working alongside Technical Product Managers to deliver measurable value through AI across the organisation.
Requirements
- Bachelor's degree in a relevant field (e.g., Computer Science, Information Systems, Business Informatics, Industrial Engineering, or Digital Business)
- 3–5 years of professional experience in customer success engineering, AI/digital solutions consulting, business analysis, or technical product enablement
- Extensive hands-on experience building solutions with no-code/low-code AI platforms — creating agents, automations, workflows, and apps using LLM-based assistants, agent frameworks, and prompt engineering. Able to independently deliver AI-powered solutions without custom development.
- Demonstrated ability to work across diverse business domains (e.g., manufacturing, engineering services, finance, HR, supply chain) and quickly understand domain-specific processes, terminology, and pain points.
- Strong understanding of how enterprise systems connect — APIs, integrations, data flows, and SaaS architectures. Able to assess how AI tools fit into existing system landscapes and identify integration requirements.
- Excellent verbal and written communication skills; able to present complex technical concepts to non-technical audiences, facilitate workshops, run demos, and build trusted relationships with business stakeholders at all levels.
- Proven ability to elicit, document, analyse, and validate business and technical requirements (e.g., user stories, acceptance criteria, process flows) through stakeholder interviews and hands-on observation.
- Natural ability to sit with end-users, understand their real-world challenges, and translate messy problems into structured use cases and actionable solutions.
- Ability to evaluate AI use cases for feasibility, business value, and priority — and identify when a use case requires custom development versus no-code implementation.
- Experience driving enterprise tool rollouts, user adoption programs, and change management — including onboarding, training, feedback loops, and continuous improvement.
- Ability to produce clear requirement documents, process maps, user guides, and portfolio overviews.
Nice To Haves
- Agile Familiarity: Comfortable working in sprint-based delivery, writing PBIs/features, and collaborating closely with development teams
- Background in manufacturing, engineering services, or B2B technology companies
- Familiarity with AWS services and AI governance frameworks
- Scrum, or Product Owner certification
Responsibilities
- Sit with business users to deeply understand their workflows and use cases for AI tooling
- Create and configure agents, apps and automations within AI tooling for and with end-users
- Process and analyse user feedback; surface gaps between user expectations and current capabilities
- Develop onboarding materials and guide users through adoption
- Derive requirements for platform set-up based on user needs
- Oversee support channels, collect and answer user feedback and questions
- Turn real business challenges into effective no-code and low-code solutions, taking ideas from concept through to implementation
- Support requirements analysis for custom AI use cases: elicit, document, and refine functional and non-functional requirements with business stakeholders
- Perform use case scoping and refinement — translate business needs into structured AI solution requirements
- Define measurable KPIs and acceptance criteria for use case delivery
- Conduct demos and feedback calls with business users
Benefits
- Competitive salary and total rewards package
- Health Insurance: Traditional OR High Deductible plan
- Flexible Spending Accounts
- Health Savings Account (including employer contributions)
- Dental and Vision
- Basic and Supplemental Life Insurance
- Short-Term and Long-Term Disability
- Paid caregiver leave
- At least 3 weeks of PTO + Wellness + Holiday Pay + Volunteer Hours
- 401k with company match and immediate vest
- Employee Stock Purchase Program at a discounted rate
- Matching grants through Protolabs foundation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
