Who we are The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, dryer fuels, and faster winds—new ignitions spread faster and put more communities at risk. Today, most wildfires are detected by bystanders and reported via 911, meaning it can take hours to detect a fire, verify its exact location and size, and dispatch first responders. Fire authorities need a faster way to detect, confirm, and pinpoint fires so that they can quickly respond—preventing small flare-ups from becoming devastating infernos. About Pano: We are a 100+ person growth-stage hybrid-remote start-up, headquartered in San Francisco. We are the leader in early wildfire detection and intelligence, helping fire professionals respond to fires faster and more safely—with the right equipment, timely information, and enhanced coordination—so that they can stop a new ignition before it grows. Pano AI combines advanced hardware, software, and artificial intelligence into an easy-to-use, web-based platform. Leveraging a network of ultra-high-definition, 360-degree cameras atop high vantage points, as well as satellite and other data feeds, Pano AI produces a real-time picture of threats in a geographic region and delivers immediate, actionable intelligence.Pano AI is on TIME's list of the 100 Most Influential Companies of 2025! MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch in 2024, and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. We’ve also been featured in the Wall Street Journal, Bloomberg, and CNBC News. Pano AI’s dozens of government and enterprise customers span 16 states in the U.S., five states in Australia, and BC, Canada, and we are currently monitoring over 30 million acres of land. Pano AI has raised $89M in venture capital funding from Giant Ventures, Liberty Mutual Ventures, Tokio Marine Future Fund, Congruent Ventures, Initialized Capital, Salesforce Ventures, and T-Mobile Ventures. Learn more at https://www.pano.ai/.The RoleFor the QA Engineer role, we’re looking for somebody who will drive quality initiatives in unlocking new end-to-end capabilities for our users while building scalable and maintainable validation pipelines. At Pano, team members take ownership of what they do, and our approach to problem-solving relies heavily upon creativity, communication, and collaboration. The ideal candidate is humble, hungry, and people-smart. They have experience working across the entire testing stack and a firm understanding of testing methodologies, UI testing, API testing, performance testing, automation, databases, and programming languages - including JavaScript and TypeScript.What you’ll do Work with your teammates across the entire stack, validating new features that enable positive impact for our users and our business Analyze requirements, develop test plans, create test cases, automate and execute tests Identify defects and create and track bug reports Collaborate with product managers and developers Execute manual or exploratory testing when needed Implement, maintain, and run automation test suites - based on Cypress for API, UI testing, visual, and accessibility testing; and k6 for performance testing Collaborate with other QA engineers to review their automation scripts Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities Participate in on-call rotation to respond to, triage, mitigate, and resolve production issues What you’ll bring 5+ years of hands-on experience as a QA Engineer 3+ years of professional experience in a fast-paced SaaS or a similar business environment Expertise in creating and executing test plans, test cases, and QA processes for API and UI testing Experience with automation testing frameworks, including Cypress, and knowledge of visual and accessibility testing Familiarity with performance testing tools, such as k6 Proficiency in JavaScript/TypeScript for writing and maintaining automation scripts Experience with issue-tracking systems, such as Jira Familiarity with test-management systems, such as TestRail Knowledge of SQL Proven ability to troubleshoot and resolve complex issues during testing Preferred skills Hands-on experience with cloud platforms, such as GCP and AWS Familiarity working with Linux-based systems as well as containerization and orchestration tools, such as Docker and Kubernetes Familiarity with common DevOps tools and practices, such as Git and CI/CD Familiarity with Python and Java Familiarity with SOC2 / ISO 27001 security frameworks Preference for someone who can work in the Pacific / Mountain time zones Pano is an equal opportunity employer committed to recruiting and supporting our team-members regardless of where they come from. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #J-18808-Ljbffr