Safari AI
About Safari AI Safari AI's vision is to Automate Action of the leading companies in the physical economy, from Entertainment, Live Venues, QSR's, Retail and beyond. The company uses computer vision AI to Measure, Alert and provide AI-generated Recommendations at the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, Tennessee Titans, and more. Leadership & Culture Safari AI is founded by Ali Vahabzadeh, who has a meaningful exit under his belt and has managed large, high-performing Go To Market and Engineering teams. The company is headquartered in Miami with the Engineering team co-located in Vancouver. About You And How You Succeed At Safari AI You're excited to build a product and invent a market that hasn't existed before. You read documentation first and are not afraid to ask for help when uncertain. You're looking to take ownership/run a singular project and take advantage of the freedom and culture an early stage startup can provide. You are looking to see through the fluff of the modern AI landscape and explore new ways of achieving measurable ROI. Enjoy a small team size ~10, project team of 1-3.
We are seeking GTM Engineering interns to join our team for 6-12 months, with the opportunity to become a full-time team member afterwards pending performance. Interns will work closely with our GTM team on automating workflows and designing demos for client prospects. Interns will have an opportunity to work with cutting-edge AI technology and to be part of a dynamic and innovative team. What you will be working on Weekly Basis Build and iterate on AI-powered go-to-market tools that help Safari AI scale outreach and accelerate deals Develop solutions that are robust across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and compelling prospect experience Work with a growing team of sales, marketing, and product engineers to ship GTM experiments quickly and feed learnings back into the product roadmap Design and maintain the systems, templates, and data pipelines that power outbound sequences, lead nurturing flows, and customer onboarding Build and maintain AI-driven prospect research and account-scoring pipelines that surface high-fit venues (stadiums, theme parks, retail, cruise, ski) and enrich them with operational signals (camera count, footprint, parent org, tech stack) Develop vertical-specific demo environments and ROI calculators that translate Safari AI's computer vision outputs (queue times, dwell, occupancy, conversion) into language and metrics each buyer persona cares about Operate the outbound infrastructure stack — sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data Requirement for the Role Only students who can commit 6 months (2026/04-2027/01) will be screened Senior undergraduate or graduate school students in computer science or relevant field with exposure to classic and modern computer vision and machine learning techniques Excellent written and verbal communication skills Self-motivated, critical thinking and enthusiastic in solving real-world problems Experience with public cloud such as GCP, Azure or AWS Ability to design, implement, present, and operate independently without oversight Good business insight and exceptional analytical skills Comfortable wiring together modern GTM tooling (HubSpot, SmartLead/Instantly, Clay, Apollo, Zapier/n8n, Notion) and writing light Python or TypeScript to glue systems together Hands-on experience prompting and orchestrating LLM APIs (Anthropic, OpenAI) for production use cases — not just chat, but agents, classification, and structured output Working knowledge of SQL and at least one data warehouse or relational DB (PostgreSQL, BigQuery, Snowflake)
Experiences in startup environment Exposure to B2B enterprise sales motions, especially with non-technical buyers in physical-venue industries (sports, hospitality, retail, attractions) Familiarity with computer vision concepts and the operational realities of CCTV/IP camera deployments Prior work building internal tools, dashboards, or AI agents that were actually adopted by a non-engineering team What Safari AI Offers An opportunity to shape an early-stage AI startup and revolutionize how businesses get data and make decisions Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team Why bet on Computer Vision and Safari AI? Huge opportunity hiding in plain sight: leveraging already-installed cameras to automate and real-time action on operational data Already the market leader in enterprise CV by working with industry leaders with billions in revenue Large chasm between customer knowledge and market availability, i.e. customers don't know what is available in the market...yet. Early leader in computer vision; everyone is small and unbranded (i.e. no Amazon or Google in the room to compete with) Very modular, allowing Safari AI and its customers to invent whole new use cases on a regular basis Developed the tech and data pipelines over three years and invested several million dollars and is now ready to scale