AI Workflow Engineer

Blank Metal•Minneapolis, MN

2d•Hybrid

About The Position

This is a new role in a new practice. You’ll help enterprise clients take their work apart and put it back together using tools from our partners, Anthropic and OpenAI. Workflow Engineers discover, design, build, and teach AI-enabled workflows. You walk into an organization, run a training session that changes how they work, help them redesign the workflows that matter most, and build the skills, plugins, and playbooks that let their teams keep going after you’re gone. We expect you to own things: curriculum, methodology, delivery approach. Proactively problem-solve when the approach isn’t working.

Requirements

5+ years in service design, user experience, product, strategy consulting, change enablement, or a similar client-facing role where you helped people work differently.
Demonstrable human-centered design mindset — you start with the work and the humans doing it, not the tool.
Hands-on fluency with Claude Cowork, ChatGPT, or similar agentic platforms. You understand prompt design, skill building, and how these tools actually change work. If you've built skills, plugins, or custom workflows, even better.
Experience designing and delivering workshops or enablement sessions. You know the difference between a session that felt good and one that changed behavior.
Strong written and verbal communication. You can talk to an executive and to an engineer in the same meeting without losing either.
Comfort with ambiguity and speed. You ship before it's perfect because you know perfect is just late.

Nice To Haves

Background in service design, UX research, or human-centered design methodology.
Familiarity with Anthropic's ecosystem — Claude Cowork, Claude Code, MCP connectors, skills and plugins.
Experience in private equity, financial services, or healthcare. 90% of our training today is at PE-backed companies — domain fluency accelerates trust.
Change management or enterprise adoption track record — you know a tool deployment is the beginning, not the end.
Experience building or scaling a professional services practice. You've seen what breaks and have opinions about how to do it right.

Responsibilities

Design and deliver training — from half-day leadership sessions to multi-week engagements.
Facilitate workshops that help technical and non-technical teams build real confidence with the tools, then measure whether it stuck.
Coach client champions through adoption, not just tool proficiency.
Spot follow-on opportunities during and after training. Surface them to Account Leads with enough context to scope and close.
Take work apart. Understand what's actually happening before you redesign anything.
Redesign workflows around partner tools, with the human in the loop.
Build skills, plugins, playbooks, and connector patterns alongside clients — not for them.
Document the redesign so it can be replicated across teams and departments.
Partner with clients to identify high-value AI use cases and build the business case.
Lead discovery workshops and use case prioritization sessions using our Blueprint scoring framework.
Collaborate with Account Leads to scope engagements and define success metrics.
Own our partner enablement methodology: curriculum, session playbooks, assessment tools, certification pathways.
Create reusable workflow patterns and training assets so we don't rebuild every engagement from scratch.
Define what good looks like: quality standards, client outcomes, adoption signals we can track and feed back into the curriculum.
Support pre-sales: scoping, proposal development, helping Account Leads explain what an engagement actually delivers.