AI Agent Intern
At Gigamon, our purpose is to protect the hybrid networks and data of the largest, most complex organizations on the planet. Certified as a Great Place to Work, we offer a deep observability pipeline that efficiently delivers network-derived intelligence to cloud, security, and observability tools. This helps our customers to eliminate security blind spots, optimize network traffic, and dramatically reduce tool cost and complexity, enabling them to better secure and manage their hybrid cloud infrastructure. Gigamon has served more than 4,000 customers worldwide, including over 80 percent of Fortune 100 enterprises, 9 of the 10 largest mobile network providers, and hundreds of governments and educational organizations. As an AI Agent Intern reporting into, and supporting our GTM Operations organization, you will help design, build, and refine AI-powered agents that streamline revenue workflows, improve data accessibility, and enhance decision-making. You will work closely with GTM Operations, Sales, and RevOps stakeholders to understand their processes and translate them into scalable, reliable AI automations. This role offers exposure to modern AI/ML tooling, data pipelines, and business systems in a high-impact, go-to-market environment. You will contribute directly to increasing team productivity, strengthening operational rigor, and enabling smarter, faster execution across the revenue organization.
What you'll do:
- Design, implement, and test AI agents that automate and augment GTM Operations workflows across the revenue lifecycle.
- Collaborate with GTM Operations partners to translate business requirements into clear technical specifications for AI agents.
- Integrate AI agents with existing tools and platforms (such as CRM, analytics, or collaboration tools) using APIs and relevant SDKs.
- Build prompt flows, decision logic, and guardrails to ensure AI agents are accurate, reliable, and aligned with business policies and controls.
- Analyze agent performance, gather user feedback, and iterate on designs to improve speed, accuracy, and usability.
- Document agent architectures, configurations, and usage guidelines to enable team-wide adoption and ongoing maintenance.
- Support experimentation and prototyping of new AI use cases that can drive efficiency, improve insight generation, and enhance customer and partner experiences.
What you've done:
- Pursued or are currently pursuing a degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.
- Gained hands-on experience with at least one programming or scripting language (such as Python or JavaScript) for building integrations or automations.
- Worked with or studied modern AI/ML, LLMs, or related technologies, including using APIs or frameworks to build simple applications or prototypes.
- Completed projects, coursework, or internships that involve working with web APIs, data processing, or backend services.
- Demonstrated the ability to break down a business problem into a structured technical solution, ideally in a data or AI context.
- Created documentation, diagrams, or project write-ups that explain how a system or application works to both technical and non-technical audiences.
Who you are:
- Curious and proactive about exploring how AI can transform sales, revenue, and operations workflows in practical, measurable ways.
- Comfortable working in a fast-paced, collaborative environment, engaging with both technical teams and non-technical stakeholders.
- Detail-oriented, with a strong sense of ownership for the quality, reliability, and business fit of what you build.
- A clear communicator who can translate complex technical concepts into simple, actionable language.
- Eager to learn new tools, frameworks, and methodologies, and open to feedback and iteration as part of your development.