AI Product Builder (Mon-Fri 8:00AM-4:30PM) ONSITE

RK Logistics Group•Chandler, AZ

15h•$85,000 - $110,000•Onsite

About The Position

This role is not a traditional software engineering position and is not focused on writing large amounts of custom code. The AI Product Builder is responsible for turning unclear business ideas into live, automated business systems by leveraging existing AI tools, platforms, and integrations. The primary work is orchestrating and deploying AI-powered workflows and internal tools that deliver measurable business outcomes, not building software from scratch. You will work directly with leadership and operators across multiple operating companies to identify opportunities, design solutions, and ship usable tools quickly. Success is defined by adoption, speed, and ROI, not code quality or architectural purity. If you prefer detailed technical specifications, deep engineering ownership, or spending most of your time writing traditional code, this role will not be a fit. This position does not offer visa sponsorship.

Requirements

Demonstrated experience delivering tools or systems that produced measurable business impact
Experience using AI tools to automate or accelerate work
Authorized to work in the United States
Hands-on use of AI tools to build workflows, automations, and internal tools
Experience with automation or internal tooling platforms
Familiarity with APIs and system integrations
Strong written and verbal communication skills
Ability to operate effectively with incomplete information
Strong business judgment and comfort making rapid tradeoff decisions
Ability to deconstruct messy problems into simple systems
Comfort working directly with nontechnical stakeholders
Ability to drive work independently from idea to deployment

Nice To Haves

Background in operations, product, consulting, or internal tools
Experience building internal systems
Exposure to logistics, supply chain, healthcare, pharmaceuticals, or staffing

Responsibilities

Translate vague, nontechnical business problems into clear, actionable system designs
Identify opportunities where existing AI tools and automation can reduce cost, increase revenue, or save time
Design and deploy internal dashboards, workflows, automations, and AI agents using AI-first build methods
Use AI tools as the primary execution engine rather than extensive custom software development
Connect systems using APIs, automation platforms, and low-code or no-code tools
Ship working systems rapidly and iterate based on real usage and feedback
Track adoption and business impact for every system delivered
Communicate progress, outcomes, and blockers clearly to stakeholders
Document systems to enable reuse and scaling

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