GTM Engineering Lead

United States·Miamilead

OtherEngineering Lead

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Quick Summary

Key Responsibilities

Convert AI-generated go-to-market tools and skills to distinct agents that help Safari AI scale outreach and accelerate deals, specifically: Growth, Sales,

Technical Tools

OtherEngineering Lead

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.

About the Role

~1 min read

Convert AI-generated go-to-market tools and skills to distinct agents that help Safari AI scale outreach and accelerate deals, specifically: Growth, Sales, Client Success
Your agents will work across customer contexts: varying industries, use cases, and stages of the sales funnel, ensuring a consistent and engaging experience with our prospects and clients
Work with a growing team of sales, growth, and client success leaders 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

~1 min read

Experience building, deploying and using agents on a daily basis
Ability to design, implement, present, and operate independently without oversight
Experience with public cloud such as AWS
Comfortable wiring together modern GTM tooling (HubSpot, SmartLead/Instantly, Clay, Apollo, Zapier/n8n, Notion) and writing Python or TypeScript to glue systems together
Hands-on experience prompting and orchestrating LLM APIs (Claude, OpenAI) for production use cases — not just chat, but agents, classification, and structured output
Experience with SQL and data warehouse or relational DB's such as PostgreSQL, BigQuery, Snowflake
Self-motivated, critical thinking and enthusiastic in solving real-world problems
Good business insight and exceptional analytical skills

Nice to Have

~1 min read

Early-stage startup experience
Exposure to B2B marketing and sales motions
Prior work building internal tools and dashboards that were actually adopted by a non-engineering team

An opportunity to shape an early-stage AI startup and revolutionize how enterprises automate decision-making in real time
Professional growth at a fast-growing, venture-funded startup with a proven founder and leadership team
Opportunities to work across different GTM segments and industries, broadening your skill set along the way
Daily peer engagement in a high-energy office setting
New hardware

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