GTM AI Engineering Intern, G2
Hourly Rate $24 per hour
More information about location
3 days a week in office (Downtown Chicago HQ)
Review site for business software & services
Be an early applicant
Review site for business software & services
1001+ employees
Be an early applicant
Hourly Rate $24 per hour
More information about location
3 days a week in office (Downtown Chicago HQ)
1001+ employees
Company mission
To make trust a central part of the digital transformation.
Role
Who you are
- This role requires hands-on experience building AI solutions and the ability to bridge technical implementation with business impact
- We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway
- A rising Junior or Senior at an accredited college or university pursing a degree in Computer Science, Software Engineering, AI/ML, or related field
- Hands-on experience building and deploying AI agents or automation workflows
- Strong programming skills (Python preferred) with experience using APIs and SDKs
- Familiarity with LLM platforms (OpenAI, Anthropic, etc.) and prompt engineering
- Experience with workflow automation tools and orchestration frameworks
- Strong written and verbal communication skills for technical and non-technical audiences
- Ability to translate technical capabilities into business value
- Self-starter comfortable with ambiguous, exploratory projects
What the job involves
- G2’s Intern Program is back for its 6th amazing summer! You’ll work closely with leaders and peers throughout the 10 weeks- focusing on making a real impact on G2, with a final presentation about your work to our Executive & Senior Leadership Teams. We’ve packed the summer full of professional development and social events to lay the foundation for your career, ensuring you’ll have a balanced experience over the course of the 10 weeks
- 10 weeks: June 1 - August 7
- 40 hours a week
- We're seeking a technical engineering intern to help build foundational infrastructure for our AI initiatives in our GTM Teams by creating a comprehensive inventory of AI assets and contributing to the development and deployment of AI agents across the organization
- Conduct technical stakeholder interviews across the GTM teams to identify and catalog existing AI models, agents, and automation tools
- Document current use cases, architectures, input/output specifications, and business outcomes for each AI asset
- Build and deploy AI agents for high-priority use cases (e.g., customer re-engagement, account intelligence, review analysis)
- Design agent workflows, prompts, and decision logic for production use cases
- Implement integrations between AI agents and existing systems (CRMs, data platforms, communication tools)
- Test, iterate, and optimize agent performance based on business outcomes
- Establish deployment patterns and best practices for scaling agents across teams
- Analyze patterns across documented use cases to identify opportunities for consolidation or expansion
- Evaluate technical feasibility and architecture requirements for new AI applications
- Assess which assets could be standardized and shared across teams
- Develop technical documentation and presentation materials summarizing findings
- Create a centralized knowledge base for AI assets, agents, and implementation patterns
- Present insights and demos to leadership and cross-functional teams
- Contribute to strategic planning for AI architecture and governance
- What You'll Learn:
- How enterprise organizations evaluate, implement, and scale AI initiatives from prototype to production
- AI agent architecture patterns and deployment strategies for business operations
- Practical application of AI in customer success, sales, and marketing operations
- Change management and stakeholder alignment for emerging technology adoption
- Strategic planning and resource allocation for AI investments
- Cross-functional collaboration in a fast-paced B2B environment
- By the end of this internship, you will have:
- Created a comprehensive technical inventory of AI assets with standardized documentation and architecture diagrams
- Built and deployed 2-3 production AI agents solving real business problems
- Conducted 15-20 stakeholder interviews across departments
- Identified 3-5 high-priority opportunities for AI expansion or consolidation
- Developed technical recommendations for AI governance, agent management, and infrastructure
- Presented findings and demos to leadership with actionable strategic recommendations
Application process
- Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team
Our take
G2 helps companies to compare the best business software and services based on user ratings and social data. Its rise emphasises just how fragmented and competitive the market is for business software today, and how a company that provides a way to navigate through all the confusion has a very good shot at building a lucrative business.
The company is part of a large group that has sprung up online to provide reviews and competitive analysis of various software products. However, unlike many others, G2 doesn't use an affiliate revenue model, where revenue is earned through advertisements and clicks. G2 instead uses a similar model to Glassdoor, striving for authenticity and credibility.
This approach has seen the site rise in popularity as it delivers reviews and analytics to make navigating the software landscape less complex for businesses and their teams.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
53% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2021
$157m
SERIES D
Oct 2018
$55m
SERIES C
Total funding: $257.6m
Company benefits
- 22 days holiday (excl. bank holidays)
- Work from home opportunities
Company HQ
Chicago Loop, Chicago, IL
Leadership
Godard Abel
(Co-Founder & CEO)Previously founded and led BigMachines, a leading SaaS CPQ company.
Tim Handorf
(Co-Founder & Head of G2 Labs)Before G2, served as a Vice President of Product Management at BigMachines.
Mike Wheeler
(CTO)Came to G2 from TapJoy, where they helped to launch a mobile web product to an audience of more than 3 million users.
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