Role overview
The Quality Assurance Engineer tests APIs, SDKs, web applications, and real-time voice and video integrations for an API-first platform that detects deepfakes and AI-generated media. Reporting to the Quality Assurance Lead, this role combines hands-on testing with automation to support reliable releases used by enterprises, financial institutions, and governments.
Testing and release ownership
- Plan and execute testing for assigned product areas from requirements review through release sign-off.
- Develop and maintain automated API, end-to-end, and regression suites, integrating them into CI/CD pipelines.
- Document defects with reproducible steps, severity, and business impact, then work with engineers to resolve them.
- Evaluate real-time detection reliability and performance across latency, load, audio and video quality, platforms, and devices.
- Maintain test data and media sets for release validation.
- Collaborate with AI Research and the Red Team on model release validation and regression testing.
- Help Customer Support and Solutions Engineering reproduce and triage customer issues.
- Improve QA standards, documentation, and release checklists across engineering.
- Within the first year, take ownership of multiple product areas with minimal oversight, help establish metrics for escaped defects, coverage, and release stability, improve tooling beyond assigned areas, and prepare to mentor newer QA colleagues.
Experience and testing skills
- At least three years in software QA or quality engineering, testing web applications and APIs in a fast-moving release environment.
- Experience writing automated tests in Python, JavaScript/TypeScript, or a similar language using frameworks such as Pytest, Playwright, Cypress, or Selenium.
- Ability to test REST APIs using Postman or code-based tests and work within CI/CD pipelines such as GitHub Actions.
- A systematic approach to edge cases and clear written bug reports and test plans.
Preferred experience
- Testing audio, video, or real-time communication products, including WebRTC, telephony, or conferencing.
- Testing ML-powered products or working with test datasets.
- Using performance or load testing tools such as k6, Locust, or JMeter.
Location and compensation
This full-time Engineering position can be performed remotely within the United States or at the New York City headquarters. Annual base salary is $120,000–$150,000, depending on experience and location. Equity is included, and bonus compensation is offered.
Benefits and time off
- Medical plans with employee premiums fully covered and partial dependent coverage.
- Dental and vision premiums fully covered for employees and dependents.
- Fully covered employee premiums for short- and long-term disability and life insurance.
- FSA/HSA and 401(k) programs, equity compensation, 20 days of PTO per year, and 12 weeks of parental leave.
- A learning and development budget, monthly wellness benefits, and an annual company-sponsored offsite.
- For employees choosing the New York headquarters: daily in-office lunch through UberEats, commuter benefits, remote Fridays, happy hours, and local events.