About the Role
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)

Nice to Have's

• 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

We always welcome unicorn engineering talents to join us!

This opportunity hire is specifically for ex-founder or ex-founding engineer! 

What you must have

• previous startup founding team (founder or founding engineer) experiences
• previous big enterprise experiences
• depth knowledge in modern AI and data engineering
• at least 5-8 years software individual contributor experiences
• proficiency in cloud infrastructure
• proven record of leadership on building a complex service from scratch to production
• experiences in delivering incremental features and maintaining reliabilities of a production service
• good understanding in best practices in software development lifecycle (SDLC) and security compliance

What we provide

• Opportunity to shape an early-stage, mission-driven startup and revolutionize how Enterprises use Computer Vision
• Professional growth at a fast-growing, venture-funded start up with a proven founder and leadership team
• Competitive salary and meaningful equity for early team members
• Unlimited vacation days
• Generous health benefits (Health, Vision, Dental)
• 401k for US team members
• Brand new, top of the line hardware and whatever else you need to help you win

We are not considering any agent/agency and only matched candidates will be reached out.

Please provide your Linkedin and github link.