AI Product Specialist

Simulmedia•New York, NY

About The Position

Simulmedia is seeking an entry-level AI Product Specialist to join their Product organization. This role focuses on people and adoption, aiming to help teams across the company understand and effectively utilize AI tools and workflows. The specialist will bridge the gap between technical AI capabilities and the practical needs of non-technical teams, driving change and adoption through training, support, and documentation. The position offers a unique opportunity for early-career professionals to influence company-wide AI adoption and develop skills in change management and cross-functional influence.

Requirements

Bachelor's degree in any field; Business, Communications, Marketing, Computer Science, Data Science, or related fields are all relevant.
0-2 years of professional experience (internships, campus leadership, personal projects, and coursework all count).
Has built something real with AI tools, ideally a web app, dashboard, or working prototype, whether through coursework, a personal project, or a hackathon.
Comfort working with data and numbers: pulling data together, manipulating it, drawing conclusions from it.
Strong interpersonal and communication skills, with genuine comfort presenting to and training people at every level, from individual contributors to executives.
A track record of organizing people or projects: leading a group, running an event, managing a team effort, teaching or tutoring others.
Comfort with ambiguity and a self-starter mentality, able to figure things out without heavy direction.
Strong writing skills for documentation and training materials.
Empathy for how people actually work day to day, and patience for helping them change habits.

Nice To Haves

Python or other coding experience is a plus but not required.

Responsibilities

Lead the rollout of new AI tools and workflows to teams across the company.
Design and deliver training sessions tailored to every function, from engineers to sales to finance to operations.
Act as the go-to resource for teams adopting new AI capabilities or processes, providing hands-on support and troubleshooting.
Monitor adoption across the organization and report on what's landing, what's stalling, and why.
Build documentation, playbooks, and best practices that make adoption repeatable rather than one-off.
Present findings and recommendations to stakeholders and leadership, including quantifying business impact.
Serve as an internal advocate and translator, connecting what's technically possible with what teams actually need.
Support product and engineering teams in identifying where AI can improve either the product itself or how it gets built.
Help pilot new AI-assisted tools or workflows on real projects, gathering feedback from the people using them.
Stay current on AI developments relevant to both the product and the broader company, and flag opportunities to the team.