Senior Process Quality Engineer

Pano AI
US - RemotePosted 21 January 2025

Tech Stack

Job Description

Senior Process Quality Engineer HELP US TACKLE THE GROWING WILDFIRE CRISIS WITH THE LATEST ADVANCEMENTS IN AI AND IOT 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 150+ 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 https://www.linkedin.com/company/time/'s list of the 100 Most Influential Companies of 2025! https://time.com/collections/time100-companies-2025/7289577/pano-ai/ MIT Technology Review listed Pano as one of the top 15 climate tech companies to watch https://www.technologyreview.com/2024/10/01/1104375/2024-climate-tech-companies-pano-ai-fire-detecting-ai/ in 2024, and Fast Company named Pano AI one of the Top 10 most innovative companies in AI of 2023 https://www.fastcompany.com/90846670/most-innovative-companies-artificial-intelligence-2023. We’ve also been featured in the Wall Street Journal https://www.wsj.com/articles/ai-wildfire-detection-startup-raises-44-million-2d662b00?mod=venture-capital_feat1_new-money_pos1, Bloomberg https://www.bloomberg.com/news/articles/2025-01-21/la-fires-bolster-investment-case-for-climate-adaptation-technology, and CNBC News https://www.cnbc.com/video/2024/11/18/ai-helping-to-fight-wildfires.html. 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 https://techcrunch-com.cdn.ampproject.org/c/s/techcrunch.com/2023/07/10/pano-series-a-extension/amp/ 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 ROLE Pano is hiring a Senior Process Quality Engineer to support the design, roll out, and continuous improvement of the operational processes that ensure our camera systems and AI-driven services meet high reliability and quality targets at scale. You will develop and implement process controls and verification across product deployment site selection and audits, manufacturing/assembly, installation, and maintenance/monitoring. You will also partner with human-in-the-loop operations to define QA for the alert review workflow and to improve tools, throughput, and accuracy of human adjudicators. This is a hands-on, cross-functional role that requires both process rigor and product empathy — you’ll dive into details while keeping the system-level risk picture front-and-center. What you’ll do - Own process quality across the product deployment lifecycle: site selection & audits → manufacturing/assembly → installation & commissioning → maintenance & monitoring, as well as human-in-the-loop operations - Develop and maintain process FEMAs, SOPs ... (truncated, view full listing at source)
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