Helping enterprises automate the measurement of the most important physical activity in their operations
GTM Engineering Intern
Location
United States
Posted
80 days ago
Salary
0
Seniority
Entry Level
Job Description
GTM Engineering Intern
Safari AI
• 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
Job 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
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