Enterprise AI Quality Assurance Specialist
5 days ago
We're pioneering the development of enterprise-grade AI solutions that deliver tangible value to compliance and legal teams.
Over the past two years, we've transformed how organizations manage compliance, shifting it from a time-consuming process to a seamless, intelligent experience. Our AI-powered platform empowers legal, compliance, and marketing teams to revolutionize their operations with 80% faster reviews and 4x productivity boosts.
This is exciting because we're at the forefront of the AI revolution in enterprise tech. As the regtech industry surges towards a $50 billion future, we're proudly representing Australia on the global stage.
Consider this: Canva has design, Trello has projects, and Haast is redefining compliance.
The RoleAs an Enterprise AI Quality Assurance Specialist at Haast, you'll shape our testing philosophy and develop comprehensive quality assurance processes for our platform. Your work will ensure the reliability and accuracy of our compliance engine while maintaining high data quality standards. We're seeking someone who combines strong technical testing skills with data analysis capabilities to build robust quality assurance frameworks.
Impact You'll Make- Design and implement end-to-end testing strategies for our platform
- Create automated tests for both platform behavior and data quality
- Build and maintain testing frameworks for our data pipeline
- Develop monitoring dashboards for business metrics and data quality
- Perform thorough manual testing of new features and pull requests
- Implement data quality checks and monitoring systems
- Create and maintain testing documentation and best practices
- Collaborate with teams to improve quality processes and standards
- 3+ years of experience in QA automation and testing
- Strong proficiency in Python and SQL for test automation
- Experience with API testing and web application testing
- Solid understanding of data quality principles and testing
- Experience building dashboards and data visualizations
- Track record of implementing automated testing frameworks
- Experience with continuous integration testing
- Experience with AI/ML system testing
- Knowledge of testing data pipelines
- Familiarity with Bruno for API testing
- Experience with modern monitoring tools
- Background in compliance or regulatory systems
- Experience with GitHub Actions
- Knowledge of performance testing
- Experience with StreamLit or similar dashboard tools
- Leading the evolution from traditional SaaS to AI-powered workflows
- Building enterprise-grade AI technology that major institutions trust and love
- Empowering humans to focus on strategic work by eliminating tedious compliance reviews
- Creating technology that builds customer trust and protects consumer rights
- Sydney-based with flexible work arrangements
- Competitive salary ($120,000 - $180,000 per year) and equity (ESOP)
- Rapid career growth opportunities
- Collaborative, engineering-driven culture focused on learning and development
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