Pano AI

QA Engineer

San Francisco, CA, US

RemoteFull time roleMid Level, Senior Level

14 days ago

About the Job

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: Pano AI is a 90-person growth stage start-up, headquartered in San Francisco, that is 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.

Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023. Pano AI has also been featured in the Wall Street Journal, Bloomberg, NBC News, and a national TV commercial produced by strategic partner T-Mobile. With dozens of government and enterprise customers, its reach extends across 10 states in the U.S., five states in Australia, and BC, Canada, helping protect more than 20 million acres of land. Backed by $45M in venture capital funding, investors include Congruent Ventures, Initialized Capital, Salesforce Ventures, T-Mobile Ventures, and Valor Equity Partners. Learn more at https://www.pano.ai/.

The Role

For 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.

About the Company

Pano AI

San Francisco, CA, USA

21-50

About Pano: Founded in 2020, <a href="https://www.pano.ai/">Pano</a> is building the world’s first fully-integrated disaster management platform focused on climate change resilience. Pano’s SaaS solution leverages advanced hardware, software, and artificial intelligence technologies to modernize the disaster preparedness industry. Pano Rapid Detect, the company’s first product, is already a leader in wildfire early detection and intelligence, with millions of dollars in revenue  stretching across 4 states in the U.S. and 2 states in Australia. Our customers include PG&E, Portland General Electric, the Big Sky Montana Fire Department, and Southern Cross Forests.Our team is composed of seasoned technology professionals from companies such as Cisco, Apple, and Nest. Headquartered in San Francisco with an office and factory in the Mission District, our hybrid team works from locations around the world. Founded in mid-2020, we’ve raised over $8M from leading VC funds and prominent angel investors, including the CEOs of Gitlab, HomeLight, and People.AI.

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