GTM Engineering Lead (Miami candidates only)

About the Role

We are hiring our first GTM Engineering Lead to lead the development of AI agents for our Growth Marketing, Sales, Client Success, and Partnership functions on the Go To Market team. This role involves working side-by-side in our Miami office with our GTM team to automate workflows and build agents that handle routine and increasingly sophisticated tasks as effectively as our staff. This position is in-office in Miami and reports directly to the Founder & CEO.

• Convert AI-generated go-to-market tools and skills into distinct agents that help Safari AI scale outreach and accelerate deals, specifically in Growth, Sales, and Client Success.
• Develop agents that work across varying customer contexts, industries, use cases, and stages of the sales funnel, ensuring a consistent and engaging experience for prospects and clients.
• Collaborate with sales, growth, and client success leaders to ship GTM experiments quickly and feed learnings back into the product roadmap.
• Design and maintain 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 metrics each buyer persona cares about.
• Operate the outbound infrastructure stack — including sending platform, CRM, enrichment, and reply-handling agents — and continuously tune deliverability, persona logic, and conversation state machines based on live performance data.

Requirements

• 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 DBs such as PostgreSQL, BigQuery, or Snowflake.
• Self-motivated, critical thinking, and enthusiastic about solving real-world problems.
• Good business insight and exceptional analytical skills.

Nice to Have

• 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.

Benefits

• 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.
• Daily peer engagement in a high-energy office setting.
• New hardware.

About Safari AI

Safari AI's vision is to automate actions for leading companies in the physical economy, from Entertainment and Live Venues to QSRs, Retail, and beyond. The company uses computer vision AI to measure, alert, and provide AI-generated recommendations for the operations of leading enterprises such as Merlin/Legoland, 7-11, Tanger Outlets, Charlotte Hornets, and Tennessee Titans.

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.

Why bet on Computer Vision and Safari AI?

• 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 generating billions in revenue.
• Large chasm between customer knowledge and market availability; customers don't yet know what is available in the market.
• Early leader in computer vision with no dominant competitors like Amazon or Google in the space.
• 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, investing several million dollars, and is now ready to scale.