Knotch is redefining the future of websites in the age of AI.

The way people discover, engage with, and consume content is fundamentally changing. Customers now find information and make decisions through AI, increasingly with an agent acting on their behalf. Most brand digital presences were never built for this journey. Knotch is the AI-native infrastructure that closes that gap, giving brands the ability to meet every customer, and every agent, with the right experience at the right moment, and to adapt as quick as AI and consumer behavior keep changing.

Our platform combines content intelligence, measurement, and agentic AI to show enterprises what content works, continuously optimize their sites, and deliver measurable business outcomes. At the center is ACE (Agentic Content Engine), which moves brands beyond static websites toward intelligent, adaptive ones that keep improving.

We work with some of the world’s most recognizable companies. Our culture is fast-paced, entrepreneurial, and highly adaptable. We move quickly, test ideas, and evolve with our customers. We’re looking for exceptional people who want to help shape how leading brands show up in an AI world.

About the role We are looking for an exceptionally skilled hands‑on

QA Manager

to join our engineering team. This person will be responsible for managing the automation suites across all products in a fast-paced environment. Creating, maintaining, executing scripts during regression, smoke, and sanity in various environments. In your first year, you will have built out our testing frameworks from scratch and have hired a QA team to help us in those efforts

Responsibilities

Hands-on automation development that is AI native





Managing an offshore QA team and building out a US team as needed

Creating automated test and validation processes of APIs on cloud services

Building comprehensive test suites that will be utilized by overall engineering and product organizations

Recommending and maintaining appropriate frameworks to automate test scenarios

Define testing and evaluation strategies for AI‑powered features, including regression testing, output quality, reliability, edge cases, and non‑deterministic behavior

Analyzing and reporting on test automation progress

Performing manual, exploratory and performance testing

Analyzing test results, performing RCAs and file tickets as necessary in JIRA

Establishing test automation code coverage metrics

Collaborating closely with our product manager, project manager (agile), and software engineers to define best practices for testing our applications (both internal and external facing)

Qualifications

8+ years of QA engineering experience, including 2+ years leading or managing a test automation team

Hands‑on experience using AI tools and agents for test automation

Strong expertise in automation tools such as Selenium, Playwright, Cypress, Watir, HeadSpin or similar

Proven ability to define tool strategy and build scalable test automation frameworks from the ground up





Experience writing scalable, reusable test scripts and running them in an Agile/Scrum setting

Solid experience with manual and automated API testing, including Postman

Experience setting up CI/CD pipelines and integrating automated tests into them

Practical experience with source control systems (e.g., Git)

Familiarity with AWS, GCP or similar cloud platforms, and working knowledge of SQL

Excellent communication and mentorship skills, with experience leading distributed teams

How to be Successful

Builder mentality:

you’re energized by starting from zero. You can stand up frameworks, processes and a team from scratch without waiting for a playbook.

Hands‑on and leading at the same time:

you’re as comfortable writing and debugging automation scripts as you are mentoring engineers and setting direction for the team.

AI-native problem solving:

you reach for AI tools and agents first to speed up test creation and maintenance, and you know how to test AI features whose outputs can change from run to run.

Quality as a mindset, not a phase:

you push testing earlier in the development cycle and help engineering and product teams own quality alongside you.

Root‑cause curiosity:

you don’t stop at “it’s broken.” You dig into the “why,” run thorough RCAs and turn what you learn into lasting process fixes.

Data‑driven reporting:

you track coverage, defect trends and automation progress, and you use those numbers to show impact and guide decisions.

Pragmatic prioritization:

in a fast‑paced environment, you balance coverage, speed and risk. You know what to automate, w

📌 QA Manager (Winnipeg)
🏢 Knotch
📍 Winnipeg