Overview:

Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve it's mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products, improve existing platforms to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do:

• Design, build, and maintain scalable test automation frameworks.
• Automate functional, API, and integration test cases by developing reusable and maintainable automated scripts.
• Analyze and troubleshoot issues related to automated and load testing, propose solutions, and enhance existing scripts where needed.
• Review test results, determine root causes of failures, assess severity and scope, and guide prioritization for resolution.
• Collaborate with developers to integrate automated tests into CI/CD pipelines, ensuring quality at every stage of delivery.
• Provide regular updates on defects, regression test status, and automation progress through Jira and other reporting tools.
• Assist in planning, developing, and delivering training on test automation frameworks and tools.
• Maintain clear documentation of automation processes, templates, and best practices while driving process improvements.
• Partner closely with engineering teams, product owners, and QA peers in Agile environments to define acceptance criteria and testing approaches.
• Stay updated with technology trends and continuously improve test automation practices.
• Support functional and regression testing efforts as needed to ensure end-to-end quality.

What You Have:

• 3–6 years of experience in an SDET or QA Automation engineering role with significant hands-on API automation experience.
• Strong programming skills in Java for test automation.
• Proven experience with automated testing tools and practices (e.g., Selenium or similar) along with Web Service / API testing.
• Hands-on experience testing REST APIs using tools or frameworks such as RestAssured, Postman (automation), or similar.
• Solid understanding of HTTP protocols, API contracts, and service-oriented architectures (SOA).
• Solid understanding of the software development lifecycle (SDLC) and exposure to Agile, Waterfall, and Scrum.
• Experience with performance/load testing tools and approaches, including APIs.
• Familiarity with ticketing systems (Jira preferred).
• In-depth knowledge of SOA frameworks, processes, strategies, and approaches.
• Practical experience with CI/CD and DevOps tools, with the ability to integrate API and UI automation into delivery pipelines.
• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or related field.

What We Offer:  

The annual base salary range for this position is $100,000 - $130,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits:

• Paid Time Off 
• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-NJ1

#LI-hybrid

We are excited to welcome a skilled and motivated QA Engineer to our growing team in Toronto! In this role, you will be responsible for ensuring the highest level of quality in our products through meticulous testing, identifying potential issues, and driving continuous improvement. We're looking for someone with a keen eye for detail, a passion for problem-solving, and a commitment to delivering innovative solutions that meet both user and business needs. If you're driven by precision and collaboration, this is an opportunity to make a meaningful impact in a dynamic, fast-paced environment.

Key Responsibilities:

• Test Case Creation: Develop detailed test cases, covering positive, negative, edge, and compatibility scenarios for web and mobile applications.
• Collaboration: Work closely with developers and stakeholders to understand requirements and ensure clear communication throughout the development process.
• Documentation & Reporting: Accurately report defects and provide regular updates on testing progress, issues, and risk assessments.
• Test Execution: Execute manual and automated tests, focusing on API testing, functional, regression, and compatibility testing.
• Test Environment: Set up and maintain test environments, ensuring effective testing across multiple platforms.

Requirements:

• QA Methodologies: Knowledge of basic QA methodologies (black-box, white-box) and Agile processes in fast-paced development cycles.
• API Testing: Experience with testing APIs and validating endpoints.
• Test Case Design: Ability to design effective test cases, including edge cases and compatibility testing.
• Communication Skills: Strong written and verbal communication for reporting test results and issues.
• Testing Experience: Basic experience testing web and mobile applications across various browsers and devices.

Desired Skills:

• Test Automation: Experience with automation tools for API and UI testing (Selenium, Appium, Cypress).
• Cypress Expertise: Hands-on experience with Cypress for automated web testing.
• Performance Testing (Optional): Experience with tools like JMeter or LoadRunner is a plus.
• Version Control (Optional): Familiarity with Git for managing test scripts.

Qualifications:

• Bachelor’s degree in Computer Science or related field, or equivalent experience.
• 1 year or more of experience in QA or software testing.

Annual Compensation Range:

$65,000-$80,000 CAD base + benefits + equity

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

THE ROLE
TripArc builds and operates the technology platform that powers travel agencies and advisor networks across North America. The platform is complex, the pace is real, and quality assurance sits at the heart of everything that ships. This is not a maintenance role — it’s a leadership position at the center of an organization that is actively transforming, with the scope and visibility to match.

The QA Manager leads this function: owning day-to-day QA operations across multiple product pods, managing a distributed team, and keeping release quality high while the platform underneath is actively evolving. This is a hands-on leadership role — you will be in the work, not above it, collaborating directly with Development, DevOps, Product, and Delivery.

The ideal candidate brings deep QA leadership experience, strong technical instincts, and the professional maturity to operate effectively across a complex, multi-pod organization — including the ability to coach a team on AI-assisted quality workflows and what effective testing looks like when AI is generating the product being tested.

WHAT WE DO
TripArc’s development teams use AI coding tools — Claude, GitHub Copilot, and similar — as a standard part of their workflow. Familiarity with Claude is expected. We expect our QA Manager to actively champion AI-assisted quality practices: understanding how these tools change velocity and risk profiles, designing quality gates accordingly, and coaching the team on sustainable AI-native testing approaches. Candidates who have built or evolved QA practices for AI-assisted engineering teams will stand out.

WHAT YOU'LL DO

• Release Management & Reporting
  –    Own QA readiness end-to-end across all active pods — scope validation, effort estimation, risk identification, environment readiness, and sign-off
  –    Track testing progress, defect trends, and quality risks; translate signals into clear, actionable status updates for both teams and leadership
  –    Manage release plans in collaboration with the Release Manager and Product Owners, and maintain accurate risk and decision trackers
• Cross-Functional Collaboration & Delivery
  –    Coordinate across QA Analysts, Developers, Product Managers, DevOps, and Delivery through Agile ceremonies, 1:1s, and cross-team syncs — aligning priorities, surfacing risks, and removing blockers
  –    Review sprint and release boards across pods for ticket quality, acceptance criteria completeness, and QA coverage; lead conflict resolution and production issue investigations when they arise
  –    Use JIRA and Git data to identify patterns, flag systemic quality gaps, and drive structural improvements across pods
• People Management
  –    Manage workload, hiring, onboarding, and performance across a geographically distributed QA team including contractors sourced through external staffing vendors
  –    Support QA Leads and Senior QA Analysts in coaching and developing junior team members; set team priorities and provide clear direction during high-pressure periods
• Automation, Tooling & Continuous Improvement
  –    Oversee Automation QA Engineers across pods — reviewing coverage, removing blockers, and contributing to framework decisions (Playwright strongly preferred) and CI/CD integration
  –    Bring sufficient automation depth to evaluate the work of automation engineers, challenge coverage decisions, and contribute credibly to framework and tooling discussions
  –    Lead adoption of AI-assisted QA practices and own tooling evaluation, vendor assessment, and continuous improvement initiatives across the QA function
  –    Define what effective QA looks like when AI-generated content and non-deterministic outputs are part of what’s being tested
• Operational Availability
  –    Manage urgent and unplanned requests under pressure; this role requires flexibility to support occasional late-evening deployments as part of the platform’s release cadence

WHO YOU ARE

• 5+ years in software QA, with at least 3 years managing teams of 10 or more — including distributed or offshore resources
• Hands-on experience with Playwright and TypeScript, sufficient to lead and evaluate the work of automation engineers, make credible framework decisions, and contribute meaningfully to CI/CD integration
• Working knowledge of SQL, API testing tools (Postman, Swagger), browser DevTools, and CI/CD pipelines - enough to support production incident investigation, evaluate team output, and contribute credibly to technical discussions
• Strong Agile delivery fluency (Scrum and Kanban), release management ownership, and a track record of reducing defect escape rates
• Excellent cross-functional communication — able to translate technical quality signals into business language and coach upward as well as downward
• Background in travel technology, complex platform ecosystems, or multi-pod delivery environments is strongly preferred

Additional Assets:

• Experience evaluating and adopting AI-powered testing capabilities — and opinions about how to use them well
• Experience with staff augmentation vendors and contractor relationship management

TOOLS & ENVIRONMENT
JIRA · Xray · Playwright · Selenium · Postman · Swagger · SQL · CI/CD pipelines · Claude · GitHub Copilot

WHY TRIPARC
TripArc’s platform is in a period of genuine transformation — new pods, new products, and AI-generated content being introduced at scale. The QA Manager who joins now will help define what quality means in that context, not inherit a playbook that already exists. For a QA leader who wants real influence over standards, tooling, and team culture — and who is energised by complexity rather than deterred by it — this is a consequential role at the right moment.

We provide a competitive compensation package with a strong pay for performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this role is $110,000 to $130,000.

The actual compensation may vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

THE ROLE
TripArc builds and operates the technology platform that powers travel agencies and advisor networks across North America. The platform is complex, the pace is real, and quality assurance sits at the heart of everything that ships. This is not a maintenance role — it’s a leadership position at the center of an organization that is actively transforming, with the scope and visibility to match.

The QA Manager leads this function: owning day-to-day QA operations across multiple product pods, managing a distributed team, and keeping release quality high while the platform underneath is actively evolving. This is a hands-on leadership role — you will be in the work, not above it, collaborating directly with Development, DevOps, Product, and Delivery.

The ideal candidate brings deep QA leadership experience, strong technical instincts, and the professional maturity to operate effectively across a complex, multi-pod organization — including the ability to coach a team on AI-assisted quality workflows and what effective testing looks like when AI is generating the product being tested.

WHAT WE DO
TripArc’s development teams use AI coding tools — Claude, GitHub Copilot, and similar — as a standard part of their workflow. Familiarity with Claude is expected. We expect our QA Manager to actively champion AI-assisted quality practices: understanding how these tools change velocity and risk profiles, designing quality gates accordingly, and coaching the team on sustainable AI-native testing approaches. Candidates who have built or evolved QA practices for AI-assisted engineering teams will stand out.

WHAT YOU'LL DO

• Release Management & Reporting
  –    Own QA readiness end-to-end across all active pods — scope validation, effort estimation, risk identification, environment readiness, and sign-off
  –    Track testing progress, defect trends, and quality risks; translate signals into clear, actionable status updates for both teams and leadership
  –    Manage release plans in collaboration with the Release Manager and Product Owners, and maintain accurate risk and decision trackers
• Cross-Functional Collaboration & Delivery
  –    Coordinate across QA Analysts, Developers, Product Managers, DevOps, and Delivery through Agile ceremonies, 1:1s, and cross-team syncs — aligning priorities, surfacing risks, and removing blockers
  –    Review sprint and release boards across pods for ticket quality, acceptance criteria completeness, and QA coverage; lead conflict resolution and production issue investigations when they arise
  –    Use JIRA and Git data to identify patterns, flag systemic quality gaps, and drive structural improvements across pods
• People Management
  –    Manage workload, hiring, onboarding, and performance across a geographically distributed QA team including contractors sourced through external staffing vendors
  –    Support QA Leads and Senior QA Analysts in coaching and developing junior team members; set team priorities and provide clear direction during high-pressure periods
• Automation, Tooling & Continuous Improvement
  –    Oversee Automation QA Engineers across pods — reviewing coverage, removing blockers, and contributing to framework decisions (Playwright strongly preferred) and CI/CD integration
  –    Bring sufficient automation depth to evaluate the work of automation engineers, challenge coverage decisions, and contribute credibly to framework and tooling discussions
  –    Lead adoption of AI-assisted QA practices and own tooling evaluation, vendor assessment, and continuous improvement initiatives across the QA function
  –    Define what effective QA looks like when AI-generated content and non-deterministic outputs are part of what’s being tested
• Operational Availability
  –    Manage urgent and unplanned requests under pressure; this role requires flexibility to support occasional late-evening deployments as part of the platform’s release cadence

WHO YOU ARE

• 5+ years in software QA, with at least 3 years managing teams of 10 or more — including distributed or offshore resources
• Hands-on experience with Playwright and TypeScript, sufficient to lead and evaluate the work of automation engineers, make credible framework decisions, and contribute meaningfully to CI/CD integration
• Working knowledge of SQL, API testing tools (Postman, Swagger), browser DevTools, and CI/CD pipelines - enough to support production incident investigation, evaluate team output, and contribute credibly to technical discussions
• Strong Agile delivery fluency (Scrum and Kanban), release management ownership, and a track record of reducing defect escape rates
• Excellent cross-functional communication — able to translate technical quality signals into business language and coach upward as well as downward
• Background in travel technology, complex platform ecosystems, or multi-pod delivery environments is strongly preferred

Additional Assets:

• Experience evaluating and adopting AI-powered testing capabilities — and opinions about how to use them well
• Experience with staff augmentation vendors and contractor relationship management

TOOLS & ENVIRONMENT
JIRA · Xray · Playwright · Selenium · Postman · Swagger · SQL · CI/CD pipelines · Claude · GitHub Copilot

WHY TRIPARC
TripArc’s platform is in a period of genuine transformation — new pods, new products, and AI-generated content being introduced at scale. The QA Manager who joins now will help define what quality means in that context, not inherit a playbook that already exists. For a QA leader who wants real influence over standards, tooling, and team culture — and who is energised by complexity rather than deterred by it — this is a consequential role at the right moment.

We provide a competitive compensation package with a strong pay for performance rewards approach. Employees have the opportunity to participate in incentive programs and compensation tied to business and individual performance. The expected compensation range for this role is $110,000 to $130,000.

The actual compensation may vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training.

#LI-Hybrid

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

About You

You are passionate about quality engineering and excited about the intersection of AI and software testing. You thrive in collaborative environments and want to work with cutting-edge technologies while ensuring exceptional user experiences. You appreciate ownership, recognition, and working directly with experienced founders who have launched products from conception to market success.

What You'll Do

Core Responsibilities

Comprehensive Testing & Quality Assurance

• Design and execute testing strategies across mobile, web, voice, wearable, and OTT applications to ensure robust application quality
• Execute functional, exploratory, regression,automated, and AI-assisted testing and troubleshooting defects
• Deploy and maintain AI-enhanced testing frameworks to streamline testing processes and improve accuracy
• Conduct performance, security, and accessibility testing to ensure compliance with modern standards

AI-Enhanced Testing

• Leverage generative AI platforms to create intelligent test cases, automate maintenance tasks, and conduct risk-based testing analysis
• Assist in implementing machine learning-based testing solutions for predictive defect detection and test optimization
• Analyze large-scale testing data using AI-driven analytics for insights and improvements
• Support the development and monitoring of automated test scripts with self-healing capabilities

Collaborative Quality Engineering

• Define testing strategies that ensure software quality throughout the entire SDLC
• Partner with cross-functional teams (developers, designers, product managers) in Agile environments
• Participate in shift-left testing practices, engaging from requirements gathering through production deployment
• Mentor junior team members in modern testing methodologies and AI tool adoption

Strategic Testing Innovation

• Consult with clients to understand testing requirements and define quality metrics
• Research and implement emerging testing technologies and methodologies
• Drive continuous improvement initiatives and champion quality engineering best practices
• Contribute to test automation strategy and CI/CD pipeline optimization

Required Qualifications

Technical Excellence

• Experience: 3-5 years in software testing and quality assurance with focus on mobile applications (iOS, Android)
• Education: Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Programming: Proficiency in JavaScript, TypeScript, Python, Java, or similar languages with OOP concepts
• Automation Expertise: Hands-on experience with Playwright, Cypress, Appium, Selenium, and modern test frameworks
• AI/ML Fundamentals: Understanding of machine learning concepts, data analysis, and AI-powered testing tools
• API Testing: Experience with REST APIs using tools like Postman, Charles Proxy
• Version Control: Proficiency with Git and collaborative development workflows

Modern Testing Competencies

• AI-Powered Testing: Experience with generative AI testing tools and natural language test creation
• Data Analytics Fundamentals: Ability to assess data quality, interpret testing metrics, and extract actionable insights from test results
• CI/CD Pipeline Integration: Experience integrating automated tests into continuous integration pipelines
• Cross-Platform Testing: Proficiency testing applications across multiple browsers, operating systems, and device types to ensure consistent user experience
• Accessibility Testing: Understanding of WCAG guidelines and accessibility testing
• Performance Testing: Knowledge of JMeter, load testing, and performance optimization techniques
• Security Testing: Familiarity with security testing practices, vulnerability assessment, and compliance standards

Essential Skills

• Analytical Thinking: Strong problem-solving, debugging, and root-cause analysis capabilities
• Communication: Excellent written and verbal communication with technical and non-technical stakeholders
• Agile Methodology: Deep understanding of Agile/Scrum practices and iterative development
• Quality Advocacy: Passionate about pushing quality boundaries and motivating teams toward excellence
• Adaptability: Ability to quickly learn new technologies and adapt to changing requirements

Bonus Qualifications

Advanced Technical Experience

• Experience building automated test frameworks from scratch
• Native mobile testing with XCUITest, Espresso, or similar frameworks
• Experience with AI testing platforms (Functionize, Mabl, testRigor, KaneAI)
• Knowledge of containerization (Docker, Kubernetes) for test environment management

Specialized Knowledge

• Experience testing AI/ML models and algorithms
• IoT and connected device testing experience
• Blockchain or cryptocurrency application testing
• Background in data science or machine learning engineering

Key Performance Indicators

Quality Metrics

• Defect detection rate and severity analysis
• Test coverage and automation ratio improvements
• Customer-reported defect reduction percentage

Innovation & Efficiency

• AI tool adoption and ROI measurement
• Test execution time reduction through automation
• Process improvement initiatives implemented
• Team collaboration effectiveness scores

Professional Development

• Continuous learning and certification achievements
• Knowledge sharing and mentoring contributions
• Cross-functional collaboration success metrics