About You
You are a Senior QA Engineer who operates at the intersection of deep product expertise and scalable automation engineering. You bring a systems mindset to quality - not just finding bugs, but designing the frameworks and feedback loops that prevent them at scale. You’re energized by ownership: leading cross-functional quality initiatives, mentoring teammates, and making deliberate technical choices that raise the bar across the engineering organization. You embrace AI-powered tooling not as a buzzword, but as a practical lever for accelerating coverage and reducing toil.
What skills do I need?
4-7+ years of QA experience with a balanced blend of manual testing and automation.
Hands-on expertise with Cypress and TypeScript/JavaScript automation frameworks.
Solid experience with API testing tools (e.g., Postman) and ideally automating API tests.
Strong exploratory/manual testing skills for complex SaaS products.
Experience integrating automated tests into CI/CD pipelines.
Proven, hands-on experience using AI-powered tools (e.g., Mabl, Momentic, Rainforest QA, or LLM-based assistants such as Claude) to improve testing quality, efficiency, or coverage.
Demonstrated experience leading quality initiatives both formally (e.g., owning a framework migration, rollout, or cross-team testing strategy) and informally (e.g., driving alignment between QA and engineering without direct authority).
Nice to have
Experience designing or implementing performance/load testing strategies.
Exposure to other automation frameworks (Playwright, Selenium) or languages (Python).
Interest in IoT technologies or embedded systems.
Experience applying AI beyond test generation — e.g., intelligent failure triage, anomaly detection, or AI-assisted code review for test suites.
Key Responsibilities
Automation & framework ownership
Own and evolve Tulip’s Cypress + TypeScript E2E automation framework, driving expanded coverage across critical product surfaces.
Integrate automated test suites into CI/CD pipelines to deliver fast, reliable feedback loops for engineering teams.
Research and implement load and performance testing strategies to ensure system reliability at scale.
AI-powered quality
Apply AI-assisted tools to accelerate test generation, triage failures, and improve overall coverage velocity.
Identify opportunities to use AI beyond test creation — including intelligent failure analysis, anomaly detection, and AI-assisted code review for test suites.
Execute exploratory, regression, and manual tests on new features to build domain expertise and validate automation coverage.
Technical leadership & cross-functional impact
Mentor QA teammates by promoting automation best practices, leading test plan reviews, and improving quality visibility across the organization.
Lead cross-functional quality initiatives by coordinating with engineers across product teams, aligning on testing strategy, and driving projects from scoping through delivery.
Serve as a quality advocate in engineering planning, ensuring testability and quality standards are embedded early in the development process.
Key Collaborators
QA Team
Engineering Product Teams
Infrastructure Engineering Team
Working at Tulip
We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
Direct impact on product and culture
Company equity
Private healthcare, L&D benefits, and eyeglass benefit
Flexible work schedule and unlimited vacation policy
Team lunches
Dog-friendly office
We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
