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Summer Intern — AI Growth Strategy & Thought Leadership

Nichols College, Dudley, MA, United States


Summer Intern — AI Growth Strategy & Thought Leadership

Recruitment began on April 2, 2026
and the job listing Expires on May 3, 2026
Solace — Leading AI + Spirituality Innovation

Solace is building the leading AI platform for faith communities, supporting churches, denominations, and ministry leaders with trusted, values-aligned AI infrastructure.
As Solace prepares major case study launches, thought leadership reports, and conference opportunities in 2026, we are seeking a high-potential intern to help scale our communications, strategic partnerships, and thought leadership efforts.
Position Overview

This role offers direct exposure to founder-led startup growth strategy, thought leadership, and strategic partnership development.
The Growth Strategy & Thought Leadership Intern will help amplify Solace’s visibility across religious, denominational, and technology ecosystems.
This role blends:
strategic communications
podcast / influencer mapping
AI-powered lead generation workflows
Ideal for a highly analytical student interested in startup growth, AI, communications, and strategic partnerships.
Key Responsibilities

Build and maintain list of 100+ faith leaders, podcasters, conference organizers, and media contacts
Conduct outbound email and partnership campaigns
Support launch of case studies and flagship reports
Research speaking and conference opportunities
Support website messaging and digital collateral
Help create briefing materials for founder meetings and speaking engagements
Support social and thought leadership content workflows
Use AI-enabled lead generation and outbound tools
Track campaign performance and conversion metrics
Skills & Qualifications

Strong analytical and writing ability
Highly organized and detail-oriented
Experience with research, communications, GTM tools, or digital workflows
Interest in AI, startup strategy, and mission-driven innovation
STEM, economics, policy, or communications candidates with strong quantitative rigor preferred

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