A managed training and coaching service that helps mid-market companies turn AI upskilling into role-specific productivity gains.
Added Jul 9, 2026
Companies are under pressure to upskill employees in AI, data, and productivity tools, but generic courses rarely translate into changed workflows. The signals show demand for instructors, enablement leads, apprenticeships, workshops, drop-in coaching, and feedback loops tied to business impact. Buyers need a repeatable way to help non-AI teams apply AI safely and practically inside their existing jobs.
Offer a productized AI adoption coaching program for business and engineering teams, combining role-specific workshops, office hours, use-case sprints, and manager reporting. The first version can be delivered manually by expert trainers using standard curricula, intake templates, learner assignments, and before-after productivity evidence. Over time, the service can productize content, assessment rubrics, learner tracking, and reusable playbooks by function.
Employers are moving from AI awareness to workforce-scale adoption, creating demand for trainers who can connect AI tools to actual business workflows. Job ads show companies hiring dedicated AI enablement and technical training roles, indicating budget and urgency.
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This isn't a script-and-deliver role. You'll co-build the AI-powered training tools and customer-specific learning modules you use in the field, and you'll be the feedback loop between what customers need and what our training, customer success, and product teams build next. You’ll be embedded at the forefront of AI, redesigning workflows with the latest advances in agentic AI.
Delivering engaging training and onboarding experiences that empower employees to effectively adopt workplace technologies, automation, and AI capabilities. Contributing to cross-functional initiatives, including SaaS rollouts, audits, compliance, AI adoption, governance, and continuous improvement of internal technology services.
Implement asynchronous and multithreaded workflows for data processing and AI pipelines Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
* Training & Upskilling of the SMAI Team - Build hands-on training content—labs, code samples, and exercises—for AI productivity tools, and capture Best Known Methods (BKMs) as reusable, teachable technical artifacts. Design and develop reference end-to-end (E2E) AI workflows that demonstrate new ways of working, and turn them into templates and patterns teams can learn from and reuse. Develop the technical curriculum and capstone projects that upskill team members into emerging roles such as AI Product Owner and E2E AI Full-Stack Developer. Evaluate, configure, and integrate AI tooling and platforms with our skills/learning environment, including sandboxes and hands-on lab infrastructure.
Design and deliver advanced workshops on agentic AI and multi-agent workflows to adult learners and working professionals Develop and conduct training on AI coding and AI-assisted software development to enhance learner skills
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