Note: The job is a remote job and is open to candidates in USA. Kaya AI is seeking a senior QA tester to own quality assurance for an AI-native workflow platform serving mission-critical construction and infrastructure operations. The role involves independently verifying complex functionality, running rigorous user acceptance testing, and ensuring data integrity across multiple engineering teams.

Responsibilities

• Run UAT against three sources of truth at once (engineering ticket, Figma design, PRD); confirm the build satisfies all three and flag every place they disagree
• Test full workflows end to end: data ingestion, log creation, review/confirm, editing, version updates, export, and third-party integration sync (e.g. Procore), not isolated screens
• Verify data correctness rigorously: confirm displayed values match the source of truth, including after edits, version changes, and re-syncs. Catch stale, cached, or silently-overwritten data
• Test edge cases, empty/error states, and behavior at large data volumes; confirm exports and bulk operations produce correct, complete output
• Verify visual and behavioral fidelity against Figma
• Build and maintain a regression suite, a test-case library, and reproducible bug reports; re-test fixes and track what's verified per release
• Partner across the core build team and the customer-delivery team, surfacing where ticket, design, and PRD diverge rather than just logging defects against one team
• Help define QA standards and release-verification process as the function matures

Skills

• 3+ years in QA / software testing on production web applications
• Proven track record of catching non-obvious data and logic bugs, not just UI defects
• Strong ability to test against written specs and designs and to notice when they conflict
• Comfort with browser dev tools / network inspection to distinguish a frontend display bug from a bad-data bug
• Experience owning QA process over time (regression coverage, test-case libraries, release sign-off), not just executing handed-down plans
• Ability to move quickly and work independently from concept to verified release with limited guidance
• Strong written English and proactive communication across multiple stakeholders
• Experience with data-heavy or table/grid-heavy applications
• Background in supply chain, logistics, construction, procurement, ERP, or industrial software
• Familiarity with SQL/Postgres for verifying data at the source
• Exposure to testing AI/LLM-powered features (extraction, RAG, agent workflows)
• Startup or high-growth environment experience

Benefits

• Work setup: Remote

Company Overview

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