Parspec is building the AI and digital infrastructure for the construction materials supply chain.
Construction is a $15 trillion industry, yet the systems that underpin the buying and selling of materials remain fragmented, manual, and disconnected. Distributors and rep agencies rely on spreadsheets, PDFs, phone calls, and siloed tools to find new products and quote and manage projects; creating delays, errors, and margin erosion across the supply chain.
Parspec is an AI-native platform that powers how construction products are discovered, bought, and sold. Trusted by more than 300 MEP distributors and rep agencies, Parspec helps project-driven businesses bid faster, win more work, and operate more profitably. By combining product intelligence, AI-powered workflows, and a connected ecosystem, Parspec is laying the foundation for a more intelligent, efficient construction supply chain.
Founded in 2021 and headquartered in San Mateo, California, Parspec has raised $31 million from leading deep-tech and construction-technology investors.
We are looking for a Senior Manual QA Engineer who will play a key role in ensuring the quality, reliability and performance of Parspec’s platform powering construction product intelligence. This role focuses primarily on manual testing, exploratory validation and end-to-end quality ownership.
You will collaborate closely with engineers, product managers and platform teams to validate complex systems including data pipelines, search services, crawler infrastructure and platform APIs.
This role is ideal for someone who enjoys breaking complex systems, deeply understanding product workflows and driving quality across distributed architectures.
Own end-to-end manual validation of platform features across crawler, search, APIs and platform services.
Design comprehensive test scenarios, exploratory testing strategies, and edge-case validation for complex workflows.
Validate data accuracy, product extraction, classification and search results across construction product datasets.
Conduct functional, regression, integration and exploratory testing across UI, APIs, and backend services.
Work closely with product managers and engineers to ensure feature completeness, usability and data integrity.
Hands-on experience of project and defect management on tools like JIRA/Confluence.
Partner with search engineers to validate query relevance, ranking accuracy, result completeness and performance SLAs.
Execute and support performance testing initiatives (JMeter or similar).
Identify potential performance bottlenecks and system edge cases in distributed services.
Use monitoring and observability tools such as AWS CloudWatch, Grafana and Prometheus to debug issues and validate system behavior.
Assist in root cause analysis of production issues and ensure strong regression coverage.
Introduce shift-left testing practices, improving test coverage earlier in the development lifecycle.
Improve QA processes including test documentation, regression suites, and release validation frameworks.
Drive quality ownership across engineering teams and promote best practices in testing.
Leverage AI-assisted QA tools (e.g., Claude, Cursor, or similar) to accelerate test case generation, test data creation, exploratory testing support, and faster validation cycles.
Use AI-assisted workflows to improve test coverage, defect analysis, and productivity in manual and automation testing.
You are a detail-oriented QA professional with strong analytical and debugging skills. You enjoy exploring systems deeply, identifying edge cases and collaborating with engineers to deliver reliable software in fast-moving environments.
7+ years of experience in Software Quality Assurance.
Strong experience in manual testing of complex web platforms and APIs.
Experience testing distributed systems, microservices, and data pipelines.
Strong API testing experience using Postman, Playwright, or similar tools.
Hands-on experience with AWS services.
Familiarity with CI/CD workflows such as GitHub Actions.
Experience with performance testing tools (JMeter or similar).
Strong debugging skills and ability to analyze logs, metrics, and system behavior.
Experience using AI-powered developer tools (e.g., Claude, Cursor, or similar) for:
Test case and test scenario generation
Automation script assistance
Test data generation
Root cause analysis and faster debugging
Improving QA productivity and test execution efficiency.
Experience working with search systems (Elasticsearch / AWS OpenSearch)
Familiarity with automation frameworks built in Playwright/TypeScript
Understanding of distributed system architecture
Experience working in data-heavy or platform-based products
Exposure to observability tools such as Grafana
Experience in Agile environments and sprint-based delivery models
Competitive salary and benefits, including family insurance coverage, free health teleconsultations, and learning/upskilling budgets
Equity in the company
Flexible hours and a hybrid work setup
Unlimited PTO
Opportunity to grow with a fast-scaling company transforming a large market
Preferred Location: San Mateo, with regular in-office presence
At Parspec, we recognize that traditional job descriptions don’t always capture the full range of your unique abilities—and that’s perfectly okay. You may not meet every requirement, but if you bring a mix of experiences, fresh perspectives, and a passion that aligns with our mission, we want to hear from you!
The Parspec team believes that varied backgrounds drive better outcomes and fuel innovation. We are a team of self-starters that lead from every seat. We think big, set a standard of excellence and are committed to diversity and a discrimination-free workplace. We welcome applicants from all walks of life to join us and help shape the future at Parspec.
Submit your application and resume highlighting your achievements. Apply now and help drive transformative change in one of the world’s oldest and largest industries!
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