AI Product Evangelist & Community Builder (Contract)

Sia Experience•San Francisco, CA

About The Position

Sia Experience’s Marketing Advisory is consulting for a leading technology company on go-to-market strategy to grow adoption of its next-generation consumer AI agent. The AI Product Evangelist & Community Builder will explore the product, discover unexpected applications, and help users make more of its capabilities. The role connects enthusiastic users, surfaces their discoveries, and turns experiments into ideas and resources that encourage broader adoption. It also brings firsthand insight into user activity and emerging behaviors to help identify meaningful product opportunities. The successful candidate will partner directly with the product team, building on existing knowledge of the product or quickly becoming proficient through deep experience with another frontier AI agent. They will investigate new features, integrations, and agent capabilities; collaborate with Product and Engineering on new workflows; and create demos, tutorials, posts, and reusable resources. They will also engage AI communities, connect users and projects, and encourage experimentation and collaboration. This is a temporary, project-based contractor role expected to run through June 30, 2027, with the possibility of extension. It is listed as 40 hours per week, with a rate of $75–$95 per hour. The posting describes the expected compensation as per year and notes that the exact rate depends on factors including skills, experience, and location.

Requirements

Several years of actively testing products, exploring unexpected use cases, and getting others interested in discoveries; frontier AI experience may be more recent.
Hands-on experience with AI agents or advanced AI platforms, including building tools, executing complex workflows, or automating tasks beyond conversational prompting.
A portfolio of projects, demos, tutorials, workflows, or public contributions demonstrating product fluency and inventive applications.
Experience building or actively contributing to an AI or technology community, with evidence that others engage with, learn from, or build on the candidate’s contributions.
Ability to create clear, compelling content that helps users understand capabilities, reproduce use cases, and get more value from a product.
Experience identifying user needs, product limitations, and emerging behaviors and translating observations into actionable recommendations.
Practical knowledge of using agents, bots, integrations, or automation to support community participation and reduce repetitive work.
Strong written and verbal communication skills, including the ability to engage enthusiast communities authentically and collaborate with Product, Engineering, and Marketing.
Ability to independently prioritize work, test ideas, follow through on commitments, and adapt as product capabilities evolve.

Nice To Haves

Direct experience as a power user of the product is strongly preferred.
Deep experience with another frontier AI agent or platform is relevant.
A formal community management title is not required.

Responsibilities

Explore product features, integrations, and agent capabilities as they emerge.
Develop practical, creative, and unexpected product use cases and share experiments and findings with the team.
Collaborate with Product and Engineering to explore new workflows and applications.
Create demos, tutorials, posts, and reusable resources that help users understand and apply product capabilities.
Share emerging AI capabilities, relevant developments, and informed user perspectives with the team.
Engage with AI enthusiasts in Reddit threads, Discord channels, and other community spaces.
Build trust through useful contributions, firsthand product knowledge, and support for user experimentation.
Identify inventive users and compelling projects, and connect people who may learn from or collaborate with one another.
Encourage user participation through shared experiments, demonstrations, challenges, and collaborative activities.
Identify user needs, product limitations, and emerging behaviors and translate observations into actionable recommendations.