Work across multiple teams: Contribute to two or more product teams simultaneously and maintain context across parallel work streams and priorities.
Validate all shipped features: Test backend, frontend, and any relevant system components.
Own bug handling end-to-end: Triage, prioritize, and document defects with clear reproduction steps; perform exploratory testing to uncover edge cases and hidden issues; Drive bugs to resolution in collaboration with engineers and PMs.
Leverage AI to improve QA workflows: Use AI tools to accelerate testing, analysis, and reporting; Continuously refine processes to increase efficiency and coverage; Focus on early bug prevention, rapid detection, and resolution.
Strengthen observability practices: Support teams in defining and building meaningful dashboards; Design and maintain post-deployment validation checks; Monitor Sentry and logging systems to identify issues proactively.
Improve and expand test automation: Continuously evolve automated test coverage and reliability; Contribute across testing layers: end-to-end, integration, and unit tests; Align automation efforts with team priorities and system architecture.

3+ years of QA experience for complex web or SaaS applications, with a strong understanding of QA methodologies and defect lifecycles.
ISTQB Certified Tester – Foundation Level (CTFL) is a plus.
Experience reading architectural/engineering blueprints or a background in the construction/estimating industry is a massive advantage.
Exceptional attention to detail, specifically the ability to spot calculation errors, spatial misalignments, and edge cases in dense datasets.
Ability to write crystal-clear, highly reproducible bug reports that save engineers time and eliminate back-and-forth.
A strong sense of empathy for the end-user, combined with the intuition to test "how an estimator actually works" rather than just clicking through the happy path.

Togal.AI

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