The role centers on owning relationships with business clients so they adopt the product, stay, and grow their use of it. That means running onboarding, watching customer health numbers, spotting problems early, and passing organized feedback to Product. A strong candidate has a couple of years in customer success at a software company, communicates clearly in writing and speech, and is comfortable learning and configuring a technical product.

How it fits the AI era

AI testing tools change how customers get value, since tests are written in plain English and much of the manual scripting disappears. That shifts the manager's job toward helping teams change how they work and trust automated results. Reading a client's situation, building trust, and negotiating renewals stay human.

How it builds AI experience

Working at a company whose product is an AI testing platform gives hands‑on exposure to how AI is applied in real software quality workflows. Day to day,



the person would learn to coach clients on writing effective plain English tests and to explain what AI can and cannot do reliably. Building the skill beforehand could start with trying an AI testing or automation tool and noting where new users get stuck.

Worth showing

- Retention and adoption results
- Customer health metric tracking
- Structured product feedback examples
- Clear client onboarding
- Fast learning of technical tools

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 testRigor

testRigor builds an artificial intelligence automated testing platform that enables engineering and quality teams to specify and execute end-to-end tests using plain English instructions, per the comp

📌 Customer Success Manager (México)
🏢 present of AI
📍 México