GTM Engineering Intern

Safari AI

GTM Engineering Intern assisting with AI-powered go-to-market tools for scaling outreach and accelerating deals at Safari AI. Working closely with the GTM team on automating workflows and designing demos.

Posted 4/27/2026internshipRemote • 🇺🇸 United StatesEntry LevelWebsite

Tech Stack

Tools & technologies

ApolloAWSAzureBigQueryCloudGoogle Cloud PlatformPostgresPythonSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

computer visionmachine learningPythonTypeScriptSQLdata warehousePostgreSQLBigQuerySnowflakeLLM APIs

Soft Skills

written communicationverbal communicationself-motivatedcritical thinkingproblem solvinganalytical skillsbusiness insightindependent operationenthusiasmpresentation skills