GTM Engineering Intern

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🕒 April 27

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Safari AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Safari AI, fka curbFlow, delivers cutting-edge Computer Vision AI solutions that empower enterprise clients to monitor and analyze their physical operations in real-time using their own camera systems. With the flexibility to seamlessly integrate with any modern IP camera, we can apply our wide range of algorithms to start gathering essential data for our clients within days.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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