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Open nowPosted 11 days ago

AI Customer Success Engineer

Protolabs88 open roles

Pay
$107,400 – $161,000 a year
Where
Maple Plain, MN
Work mode
Hybrid
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Your applicationOpen nowAI Customer Success EngineerProtolabs · Maple Plain, MN
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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
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  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 11 days ago

The posting

Be yourself at Protolabs

Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace. So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply! You can help make our company even better. We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself. We strongly believe diversity makes for more successful teams.

Why Protolabs?

We are the leaders in digital manufacturing. We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit. Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds. We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do. It’s our people who fuel our creativity and make our culture feel like home.

Join our team as an AI Customer Success Engineer!

This is a HYBRID role - onsite Tuesday-Thursday in Maple Plain, MN.

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.

What You Will Do:

  • You will sit with business users to deeply understand their workflows and use cases for AI tooling
  • You will help create and configure agents, apps and automations within AI tooling for and with end-users
  • You will process and analyse user feedback; surface gaps between user expectations and current capabilities
  • You will develop onboarding materials and guide users through adoption
  • You will derive requirements for platform set-up based on user needs
  • You will oversee support channels, collect and answer user feedback and questions
  • You’ll turn real business challenges into effective no-code and low-code solutions, taking ideas from concept through to implementation
  • You will support requirements analysis for custom AI use cases: elicit, document, and refine functional and non-functional requirements with business stakeholders
  • You will perform use case scoping and refinement — translate business needs into structured AI solution requirements
  • You will define measurable KPIs and acceptance criteria for use case delivery
  • You will conduct demos and feedback calls with business users

What You Bring:

  • 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.

What Sets You Apart:

  • 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

What's In It For You:

  • We offer a competitive salary and total rewards package
  • We offer amazing benefits including but not limited to:
  • 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
  • You will receive 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
  • And More!

Proto Labs maintains ITAR-compliant operations in all of our United States based facilities. Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status. Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.

Proto Labs, Inc. is an Equal Opportunity Employer

Physical Demands:

While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear. The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.

Work Environment:

Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.

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