The role is about helping outside partners bring new venues onto Taiv and making sure those referrals turn into live installs. A solid candidate has several years in partner management or business development, has built training and onboarding for partners, and is comfortable with reporting and process design as well as relationship calls. Taking ownership and showing up with recommendations matters as much as being good with people.

How it fits the AI era

Taiv's product is AI, but this job is mostly about people and process. AI tools could help with analyzing partner data, spotting what top partners do differently, and drafting training material faster. Building trust with partner teams, deciding which partners to back, and explaining the product to venue owners stay human work.

How it builds AI experience





The role offers close exposure to how a computer vision product that swaps ad breaks on live TV is explained and sold to business owners who are not technical. To build more experience, a candidate can learn how the product works, talk with the product team about what it can and cannot do, and use AI assistants to study partner results and prepare enablement material.

Worth showing

- Partner performance reporting
- Working with product and ops

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Taiv

An AI system that watches the live TV feed in bars and restaurants and swaps ad breaks for venue content and targeted ads, with the venue sharing the revenue.

📌 Channel Partnerships Manager (Winnipeg)
🏢 present of AI
📍 Winnipeg