~13d ago

AI Solutions and Adoption Lead

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OtherAi Solutions Lead

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Quick Summary

Key Responsibilities

assist, draft, summarize, classify, recommend, route, execute, escalate, or require approval. Create

Technical Tools

OtherAi Solutions Lead

AI Solutions and Adoption Lead

The AI Solutions & Adoption Lead will help the Print Supplies move AI from experimentation into business value. This is a hands-on role for someone that has already worked with AI, workflow, automation, analytics, or business systems and is ready to grow into broader AI leadership.

This person will partner with Print Supplies teams to identify practical AI opportunities, design AI-enabled solutions, support agentic workflows, test output quality, train users, and drive adoption. The role requires someone who can work close to the work: interviewing users, mapping processes, reviewing data, testing AI outputs, coordinating with technical teams, and helping business teams use AI in daily operations.

The person will not need to arrive with every answer. He or she should bring strong hands-on experience, good judgment, curiosity, and the ability to learn quickly. Over time, this role is expected to help define standards, playbooks, training methods, and the operating model for AI across the Print Supplies.

The ideal candidate has personally helped launch AI, automation, analytics, digital, or workflow solutions with users. They understand that AI adoption depends on more than tools. It requires business context, user trust, data readiness, quality checks, training, process fit, and measurable outcomes.

You do not need to hold a formal “AI Lead” title to apply for this role. You should have enough hands-on experience to lead AI use cases, work with technical partners, support business teams, and learn into broader ownership.

Responsibilities

~1 min read

Software

Requirements

~1 min read

5-10+ years of experience across AI solutions, automation, analytics, product, business systems, operations, consulting, enterprise technology, or digital transformation.

Hands-on experience helping launch AI, automation, analytics, workflow, or business-facing technology solutions.

Experience working with business users to understand needs, map processes, test solutions, and support adoption.

Experience partnering with technical teams such as engineering, data, security, or enterprise systems.

Experience creating practical delivery materials such as requirements, user guides, workflow maps, test cases, training materials, SOPs, dashboards, or project updates.

Ability to communicate with both technical and non-technical teams.

Strong interest in AI and growing into AI adoption leadership.

Nice to Have

~1 min read

Experience with LLMs, AI assistants, automation, RAG, agents, structured outputs, prompt systems, APIs, or workflow tools.

Experience deploying AI-enabled solutions, internal copilots, knowledge assistants, task automation, or agentic workflows.

Experience with CRM, ERP, HRIS, ticketing systems, contract tools, knowledge bases, data warehouses, workflow platforms, or business intelligence tools.

Experience creating AI training programs, office hours, adoption playbooks, or internal enablement programs.

Experience coaching junior team members or leading a workstream.

Experience in an environment with legal, compliance, privacy, security, or governance requirements.

Practical understanding of how LLMs, AI assistants, automation, RAG, agents, prompts, tool use, and structured outputs can support business work.

Ability to understand the limits of AI output and design review steps where needed.

Ability to work with technical teams on data access, integrations, APIs, permissions, system dependencies, and production readiness.

Ability to test AI outputs using real examples and explain quality issues in business language.

Familiarity with evaluation, monitoring, tracing, logging, failure review, cost, and reliability is helpful.

Ability to move from discovery to launch without waiting for perfect conditions.

Ability to create requirements, workflow maps, test plans, launch plans, guides, training materials, SOPs, and impact updates.

Ability to map a process across users, systems, handoffs, approvals, exceptions, and failure points.

Strong understanding of user adoption, training, trust, incentives, and workflow friction.

Ability to define success through metrics such as time saved, cycle time reduction, error reduction, adoption rate, output acceptance, escalation reduction, customer response time, or employee experience.

Good judgment on where AI should assist, where it can act, and where human approval is required.

Builds trust with business users, technical partners, and senior leaders.

Communicates clearly with both technical and non-technical teams.

Leads through influence across teams.

Translates business needs into technical requirements and technical constraints into business decisions.

AI solutions moved from idea or pilot into real business use.

Agentic workflows tested or deployed with business users.

User training sessions, office hours, guides, and enablement assets delivered.

Time saved, cycle time reduced, errors reduced, or manual work removed.

Quality issues identified and improved after launch.

Reusable templates, checklists, playbooks, and training materials created.

Clear recommendations on which AI use cases should scale, pause, or be redesigned.

Full time

Shift 1, 0% premium (United States of America)

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