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Mentium.io • Austin, Texas, United States
Role & seniority: QA Engineer (AI-first), mid-to-senior level; responsible for end-to-end product quality and AI-enabled testing strategy.
End-to-end automation: Playwright/Cypress/Selenium
API testing
CI/CD integration for gating, flaky-test detection, reporting
AI/ML tooling for test generation, synthetic data, auto-triage
Optional: Observability stacks (Grafana/Prometheus/logging/tracing)
Own quality standards, processes, and success metrics for the product.
Build/maintain automated tests across real customer workflows (SMS/email/voice); design release confidence gates (smoke, regression, staging, rollout).
Leverage AI to generate test cases, create synthetic data, auto-triage failures, and improve coverage without hindering velocity; partner with engineering/product on observability and reliability.
4+ years in QA/Quality Engineering for production SaaS
Strong end-to-end automation experience (Playwright/Cypress/Selenium) and API testing
Ability to build repeatable, robust quality processes; reproduce issues independently; clear engineer communication
Experience in fast-paced startup environments
Interest/experience applying AI in engineering workflows (LLMs, evals, test generation, tooling, synthetic data)
Experience testing messaging/telephony systems (SMS/email/voice), webhooks, retries, idempotency
Python and/or TypeScript fam
About the role We’re hiring a QA Engineer (AI-first) to own product quality end-to-end and take it to the next level by using AI to scale test coverage, improve reliability, and reduce regressions.
This is not “manual QA.” You’ll define the quality bar, build the strategy, and implement a modern testing system where AI helps generate test cases, expand edge coverage, validate outcomes, and accelerate debugging.
This is an in-office role in Austin, TX — 5 days/week.
What you’ll do
Own quality across the product: define standards, processes, and success metrics.
Build and maintain end-to-end automated tests for real customer workflows across SMS/email/voice.
Design release confidence: smoke tests, regression suites, staging validation, rollout gates.
Generate and expand test cases from specs, bugs, and production incidents
Create high-quality synthetic test data + edge-case scenarios
Auto-triage failures and assist with root-cause analysis
Continuously improve coverage without slowing product velocity
Build quality tooling into CI/CD (gating, flaky test detection, reporting).
Drive bug triage discipline: severity, reproduction quality, accountability loops.
Partner with engineering/product on observability and reliability (failure categories, trends, top regressions).
What we’re looking for 4+ years in QA / Quality Engineering for production SaaS. Strong experience with end-to-end automation (Playwright/Cypress/Selenium) + API testing.
You think in systems: you build repeatable quality processes, not brittle scripts. You can independently reproduce issues and communicate clearly with engineers. You’re comfortable operating in a fast-paced startup environment. You have strong interest or experience using AI in engineering workflows (LLMs, evals, test generation, prompt/tooling, synthetic data).
Bonus points Experience testing messaging/telephony systems (SMS/email/voice), webhooks, retries, idempotency. Python + TypeScript familiarity. Distributed systems, queues, background workers. Temporal or workflow orchestration experience.
Observability tooling: Grafana/Prometheus/logging/tracing.
Location / schedule (non-negotiable) Austin, TX In-office 5 days/week
We’ll provide New laptop/equipment of your choice Top-tier health, dental, and vision insurance Unlimited PTO