Head of Partnerships

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

Our computer vision platform turns existing camera infrastructure into real-time operational intelligence for large venues such as stadiums, airports, theme parks, casinos, and smart infrastructure.

As Safari AI expands beyond founder-led sales, we are building a Strategic Partnerships function to accelerate distribution through the ecosystems already embedded in these environments - including video management systems, camera manufacturers, system integrators, ticketing platforms, venue operators, smart infrastructure providers, consulting firms, PE and infrastructure investors, and architecture and engineering firms.

What You'll Do

Build the Partnership Ecosystem

Identify, develop, and manage strategic relationships across the venue and infrastructure ecosystem. Create distribution through joint go-to-market motions, technology integrations, referral pipelines, co-selling, and strategic introductions into owner, operator, and investor networks.

Drive Strategic Integrations

Work with Safari AI product and engineering teams to identify integration opportunities - VMS platforms, infrastructure systems, venue operations tools - that reduce deployment friction and increase product value.

Build Repeatable Playbooks

Develop frameworks for partner onboarding, co-marketing, joint sales strategies, and referral motions across both technical and professional partners.

Shape Early-Stage Influence

Build relationships with consulting firms, PE and infrastructure funds, and architecture and engineering firms that influence capital allocation, technology selection, and venue design before an end customer formally enters a buying process.

Requirements

• 4+ years in strategic partnerships, alliances, or ecosystem development
• Strong understanding of enterprise technology and services ecosystems
• Experience with system integrators, infrastructure technology, enterprise software, or professional services firms
• Ability to engage both technical teams (integrations, platform strategy) and non-technical stakeholders (consultants, investors, operators)
• Entrepreneurial mindset suited to an early-stage startup
• Strong executive-level communication skills

Additional information

Experience in sports venues, infrastructure technology, smart buildings, security technology, consulting, infrastructure investing, architecture, engineering, or enterprise SaaS is a plus.

What Safari AI Offers

• Shape the ecosystem strategy of an emerging Vision AI company
• Direct collaboration with founders and senior leadership
• Competitive salary and meaningful early-stage equity
• Unlimited vacation, comprehensive health benefits, and 401k

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 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