GTM Engineering Intern

Safari AI

Completely RemoteInternshipInformation Technology
Posted Today

Job description

Responsibilities

  • Build and iterate on AI-powered go-to-market tools to scale outreach and accelerate deals
  • Develop robust solutions across varying industries and sales funnel stages
  • Design and maintain systems, templates, and data pipelines for outbound sequences and customer onboarding
  • Build AI-driven prospect research and account-scoring pipelines
  • Develop vertical-specific demo environments and ROI calculators
  • Operate and tune the outbound infrastructure stack including CRM and enrichment tools

Requirements

  • Must be able to commit to a 6-month internship (2026/04-2027/01)
  • Senior undergraduate or graduate student in Computer Science or a relevant field
  • Exposure to computer vision and machine learning techniques
  • Experience with public cloud platforms (GCP, Azure, or AWS)
  • Proficiency in Python or TypeScript for system integration
  • Hands-on experience prompting and orchestrating LLM APIs (Anthropic, OpenAI)
  • Working knowledge of SQL and relational databases (PostgreSQL, BigQuery, or Snowflake)
  • Experience with GTM tooling such as HubSpot, Clay, Apollo, or Zapier

Preferred Qualifications

  • Experience working in a startup environment
  • Exposure to B2B enterprise sales motions in physical-venue industries
  • Familiarity with computer vision concepts and CCTV/IP camera deployments
  • Experience building internal tools or AI agents adopted by non-engineering teams

About the Company

Safari AI uses computer vision AI to automate actions for companies in the physical economy, including entertainment, retail, and QSRs. The platform provides real-time measurements and AI-generated recommendations to optimize operations for leading enterprises.

Skills & tools

PythonTypeScriptLLMComputer VisionSQL

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 016-month commitment (2026/04-2027/01)
  2. 02Computer Science student
  3. 03Computer vision and ML exposure
  4. 04Cloud experience (GCP, Azure, or AWS)
  5. 05Python or TypeScript
  6. 06LLM API orchestration
  7. 07SQL knowledge
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