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About BackOps AI
Role Overview
Responsibilities
Requirements
Nice to Have
This is a full-time hybrid role for a Quality Assurance Engineer located in San Francisco, CA.
BackOps AI is transforming supply chain operations with agentic AI solutions that automate complex workflows, freeing operations teams to focus on what matters most. Headquartered in the San Francisco Bay Area with flexible remote-friendly options, we foster a culture of innovation, ownership, and measurable impact.
We are looking for a detail-oriented Manual QA Engineer to join our team and help ensure the quality and reliability of our products. You will work closely with cross-functional teams, including Engineering, Product, and Design, to improve overall product quality and deliver a seamless, reliable user experience.
The role emphasizes strong manual testing expertise and close collaboration with automation engineers to optimize test coverage.
- Analyze product requirements and create clear, well-structured test cases and test plans
- Validate new features and ensure readiness for production releases
- Execute functional, regression, smoke, and exploratory testing
- Identify, document, and track defects, and verify fixes
- Support release sign-off by providing clear testing results and quality recommendations
- Contribute to the continuous improvement of QA processes, best practices, and testing standards
- 3+ years of hands-on experience in manual software testing
- Strong understanding of software testing principles, methodologies, and QA best practices
- Confident knowledge of SQL for data validation and analysis
- Hands-on experience with Postman for API testing
- Basic understanding of CI tools and modern software development practices
- Experience with test management tools (e.g., TestRail, Zephyr, Xray)
- Familiarity with bug tracking systems (e.g., Jira, Trello, Asana, Bugzilla)
- Strong attention to detail and analytical thinking
- Proactive approach to identifying risks and improving product quality
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
Nice to Have
- Experience testing AI agents or AI-driven systems
- Basic knowledge of Python or Java
- Familiarity with test automation concepts and workflows
- Experience working in Agile/Scrum environments
BackOps AI San Francisco, California, USA Office
San Francisco, CA, United States
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
