The Lead QA Engineer will manage testing strategies, automation frameworks, and quality reporting while collaborating with engineering and product teams to ensure reliable releases.
About Nue.io
Compensation
Nue is the AI-powered revenue architecture platform that unifies CPQ, billing, and revenue lifecycle management into a single system. It enables companies to simplify complex pricing, automate monetization, and gain full control over how they generate and scale revenue. Working with customers such as OpenAI, Chilipiper, Glean, HootSuite, and Mews. Nue helps sales, operations, and finance teams gain revenue acceleration, operational efficiency and revenue controls at speed and scale.
Lead QA EngineerWhy You’ll Love This NUE Opportunity!At Nue.io, we're on a mission to revolutionize revenue operations for modern businesses. We’re looking for a Lead QA Engineer who’s passionate about building and scaling systems that drive meaningful business outcomes.
As the Lead QA Engineer, you will own the end-to-end quality across planning, execution, automation, and release readiness. You will lead by influence, set the bar for engineering excellence, and partner closely with Engineering, Product, and Customer Success to deliver reliable, secure, and performant releases in a rapid delivery environment.
You will champion an automation-first approach while balancing pragmatic manual exploratory testing, and you will drive executive-level coverage reporting and quality insights that inform roadmap and release decisions.
Key Responsibilities- Define and own the product-wide test strategy across functional, integration, end-to-end, regression, performance, and security-adjacent testing, acting as the quality owner for critical domains.
- Establish and maintain robust test automation frameworks and pipelines using AI-native or AI-enabled tooling like mabl
- Champion API testing for backend and service layers using Postman/Newman, Bruno; drive contract and integration testing across services.
- Implement and optimize CI/CD quality gates and test execution within GitLab for reliable, repeatable releases.
- Build practices for test data management, environment readiness, and mocking/stubbing to reduce flakiness and accelerate feedback loops.
- Own high-signal, executive-ready coverage reporting and quality dashboards: unit and component coverage (statement/branch), UI/API suite coverage, risk-coverage by epic/feature, flakiness, defect escape rate, MTTD/MTTR, and release readiness indicators.
- Drive end-to-end coverage for quote-to-cash scenarios including product catalog, pricing/bundling, quoting, subscriptions, billing, collections, and downstream financial impacts; align sandbox/test environments to production-like conditions for realistic validation.
- Run effective bug triage and root-cause analysis with engineering; improve defect taxonomy, prioritization, and closure SLAs, and own quality sign-off for releases and hotfixes.
- Relentlessly leverage AI tooling to 10x efficiency — use generative AI for rapid test creation, data synthesis, log triage, flake diagnosis, and pipeline insights; turn hours into minutes and minutes into seconds with automation-first thinking.
- 8+ years in Quality Assurance for SaaS or enterprise software, with proven success driving outcomes across complex systems at a lead level.
- Demonstrated expertise building scalable UI and API automation, with strong programming fundamentals in at least one modern language and testing framework.
- Success integrating automated test suites into CI/CD, optimizing quality gates, and improving signal-to-noise in pipelines.
- Deep domain understanding across RevOps processes and data flows, including quote-to-cash and downstream financial impacts.
- Proficiency with SQL, test data strategies, and debugging across distributed services, backed by strong customer empathy.
- Excellent communication and stakeholder management, including executive-ready reporting and decision support.
- Salesforce certifications and experience
- Experience configuring and scaling mabl (cloud execution, parallelization, environment variables, data-driven tests, CI integration).
- Exposure to performance testing and observability-driven quality insights.
- Familiarity with compliance frameworks in SaaS environments.
The base pay range for this role is CA$160,000 – CA$180,000 per year.
What We Offer:- Competitive compensation and benefits that reward your talent and impact.
- Comprehensive health, vision, dental, and life insurance
- A front-row seat in the Silicon Valley tech ecosystem, where you’ll work on cutting-edge challenges shaping the future of SaaS, finance, and payments.
- The opportunity to build truly groundbreaking products — your work won’t just support the business; it will influence how companies around the world monetize and grow.
- A high-energy, collaborative culture where smart, supportive teammates push each other to learn fast, think boldly, and do the best work of their careers.
- Room to grow, lead, and make your mark in a fast-scaling company that values creativity, ownership, and ambition.
Nue.IO is an equal opportunity employer and welcome people of diverse backgrounds, perspectives, and skills.
We will work with applicants to provide accommodations at any stage of the hiring process.
If you require accommodations during the interview process, please email your Talent Partner, and we will work with you to meet your needs.
Nue.io Toronto, Ontario, CAN Office
Bay St, Toronto, ON, Canada, M5G 1Z6
Similar Jobs
Other
The Lead Quality Engineer will set quality standards, mentor a QA team, improve testing strategies, and enhance automation in AI-driven workflows.
Top Skills:
AICi/CdJavaScriptPythonTypescript
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Strategic Account Manager will manage a portfolio of mid-market sellers, negotiating contracts, identifying growth opportunities, and ensuring seamless client service alongside cross-functional teams.
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
The People Experience Advisor supports service operations by ensuring compliance with policies, improving processes, and enhancing employee experience through effective onboarding and policy interpretation.
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
