Support Enablement Engineer Intern

About Dropbox

Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. As a global community of bold visionaries, Dropbox is shaping the future of work with its Virtual First model. This combines distributed workplace autonomy with human connection, fostering meaningful work and relationships. With a start-up mindset and enterprise-level opportunities, Dropbox empowers individuals to own their impact and make work more intuitive, joyful, and human for hundreds of millions worldwide.

The Dropbox Emerging Talent program empowers the next generation of innovators by transforming potential into impact. It connects exceptional early-career professionals with meaningful challenges, working alongside industry experts. The program fosters growth through hands-on learning, dedicated mentorship, and a vibrant community. Summer interns have the opportunity to attend the Emerging Talent Summit to build relationships and explore career development.

Role: Support Enablement Engineer Intern

As a Support Enablement Engineer Intern at Dropbox, you will play a critical role in executing and implementing AI-driven enablement initiatives to transform how customer support is delivered at scale. Embedded within the Customer Experience (CX) organization, you will help operationalize AI capabilities, automate support workflows, and strengthen systems that empower global support teams.

This highly hands-on, execution-focused internship involves direct contribution to real-world AI enablement projects. Your work will streamline support operations, improve agent efficiency, and elevate customer outcomes by translating emerging AI capabilities into practical, scalable solutions. This role collaborates closely with cross-functional technology partners across Dropbox.

The internship offers two start dates for Summer 2026, each culminating in a 12-week program: May 26 - August 14, 2026 or June 30 - Sep 18, 2026.

Responsibilities

• Support the execution and rollout of AI-driven enablement initiatives across Customer Experience (CX) support workflows, guided by enablement engineers and an AI Program Manager.
• Assist in designing, testing, and deploying AI-powered workflows.
• Monitor and troubleshoot issues related to CX tools and AI integrations, ensuring system reliability, performance, and scalability.
• Analyze support and operational data to identify opportunities for AI-driven automation and workflow improvements.
• Collaborate with cross-functional partners across CX, Customer Experience & Success (CXS) Tech, and Go-to-Market (GTM) Platforms teams.
• Develop and deploy automation scripts, configurations, or integrations to support AI enablement efforts.

Requirements

• Currently pursuing an undergraduate degree in Computer Science, Information Technology, Information Systems, Systems Engineering, or a related technical field, with an expected graduation date in 2027.
• Demonstrated interest in solutions engineering, technology enablement, workflow automation, and applying AI-driven solutions to operational problems.
• Hands-on experience through coursework, projects, internships, or labs with AI, APIs, system integrations, or workflow automation concepts.
• Foundational familiarity with AI-enabled systems or tools for operational workflows (e.g., agent assist, knowledge retrieval, intelligent routing).
• Experience with at least one programming or scripting language (e.g., Python, JavaScript) and comfort in a development or configuration-based environment.
• Analytical mindset with the ability to interpret data, identify patterns, and translate insights into practical improvements.
• Ability to work independently on well-scoped tasks while collaborating effectively with cross-functional partners in a virtual team environment.
• Ability to clearly explain technical concepts to both technical and non-technical audiences.
• Curious, adaptable, and motivated to learn, iterate, and apply new technologies, particularly AI, to real-world customer support and operational challenges.

Preferred Qualifications

• Exposure to Customer Experience (CX) or support operations, including hands-on experience with support tooling, case workflows, or service operations environments.
• Experience building or configuring automation, including scripts, integrations, or low-code/no-code workflows.
• Familiarity with data analysis or visualization using tools such as dashboards, spreadsheets, SQL, or similar analytics platforms.
• Experience collaborating cross-functionally with technical and non-technical partners.
• Demonstrated interest in applied AI enablement, including experimentation with AI tools, prompt iteration, model outputs, or human-in-the-loop workflows.
• Hands-on experience with modern AI technologies and workflows, such as LLMs (ChatGPT, Claude, Gemini), automation platforms (n8n, Make, Gumloop), building AI agents, API integrations, MCP, AI coding assistants (Cursor, Claude Code), and no/low-code AI platforms (Lovable, Replit, Bolt).

Key skills/competency

• AI Integration
• Workflow Automation
• Customer Support Operations
• Python/JavaScript
• API Integrations
• Data Analysis
• System Reliability
• Troubleshooting
• Cross-functional Collaboration
• Solutions Engineering