Target roles
Screen for these role shapes.
- AI Outcomes / AI Adoption Manager
- GTM Engineer, AI Workflow Automation
- AI Implementation / Strategy Consultant
- Internal AI Enablement Manager
- AI Sales Ops / RevOps Automation
- Healthcare AI Implementation
Recruiter guide for AI implementation roles.
This page is for legitimate company recruiters evaluating AI implementation, enablement, customer adoption, professional services, or GTM workflow roles. It explains fit, proof, and what helps me evaluate a role quickly.
Best-fit contexts
Where the work is most useful.
- AI product teams that need customer-facing implementation and adoption help
- SaaS, healthcare, or operations teams turning unclear workflows into usable AI systems
- Professional services teams that need discovery, rollout, validation, and enablement judgment
- GTM, Sales Ops, and RevOps teams building repeatable AI-assisted operating loops
Role paths
Where to place me in the hiring funnel.
The best match is implementation, enablement, or customer adoption work where AI workflows need discovery, validation, rollout, and measurable use.
GTM Engineer / Revenue AI Workflow Automation
GTM workflow automation where the job values sales and CS operating judgment, AI-assisted building, testing, enablement, and adoption.
Best proof: Savi Clay enablement, AI Implementation OS, project-card private workflows, and AI-assisted workflow build direction.AI Outcomes / Customer AI Adoption
Customer-facing AI product adoption where discovery, use-case design, rollout, enablement, feedback loops, and measurable outcomes matter.
Best proof: AI Implementation OS, Basketball Scheduling, Job Search HQ, and supporting BYU operator adoption.AI Implementation / Strategy Consultant
Implementation or advisory roles where strategy has to turn into workflow maps, validation criteria, user training, and practical safeguards.
Best proof: AI Implementation OS, Basketball Scheduling, Job Search HQ, and public ownership-split framing.Internal AI Enablement / AI Operations
Internal enablement work with intake, prompt/context patterns, guardrails, workflow review, training, and adoption measurement.
Best proof: AI Implementation OS, Job Search HQ, ShotSort, and Savi AI workflow discovery.Healthcare AI Workflow Implementation
Healthcare or regulated workflows where practical safeguards, stakeholder trust, customer enablement, and rollout discipline matter.
Best proof: Podium healthcare accounts, AI Implementation OS rollout planning, Job Search HQ review gates, and BYU validation patterns.Helpful context
What helps me evaluate a role quickly.
I prefer fewer, higher-signal conversations. LinkedIn messages that include these details are easier to evaluate quickly and safely.
Official company identity and company-domain email or verified LinkedIn profile
Public company-domain role URL or job ID
Compensation range, location or remote status, and employment type
Short explanation of why the role fits AI implementation, workflow deployment, or customer adoption
Not a fit
Useful boundaries.
- Pure backend platform engineering roles
- Roles requiring unsupported claims of independent production coding ownership
- Recruiting messages without an official company identity or role link
- Crypto, task, reshipping, or equipment-purchase opportunities