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Who we are
The problem: Every minute matters in fire response. As climate change amplifies the intensity of wildfires—with longer fire seasons, drier 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 130+ 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 Role
We are seeking a director or an experienced manager to lead the AI / Perception Team responsible for developing and improving our computer vision-based fire detection and localization systems. This team is core to the Pano Rapid Detect product that detects wildfires in real time. This leader will drive a range of research and development initiatives to support improving KPIs related to our core product, as well as developing AI, Computer Vision, and satellite models for a range of new applications. The ideal candidate will have a strong background in computer vision, machine learning, and team leadership.
What you’ll do
- Lead a team of computer vision engineers and AI researchers working on fire detection and geolocation algorithms.
- Establish performance metrics and testing protocols to evaluate system accuracy, reliability, and latency.
- Work with product management and the labeling team to collect, annotate, and curate diverse fire imagery datasets across various environmental conditions.
- Develop and improve methods for spatial reasoning, improving the speed and accuracy of geolocation algorithms.
- Coordinate with product management and managers of the Pano Intelligence Center to ensure that the end-to-end detection and localization process is effective.
- Stay current with state-of-the-art research in computer vision, particularly in detection of anomalies in natural environments.
- Ensure robust performance across challenging conditions (night, partial visibility, varying weather).
- Write industry whitepapers showcasing the customer benefits of our key technical systems.
What you’ll bring
- PhD with focus on computer vision or machine learning, or a Masters combined with experience in applied research.
- 7+ years of industry experience in AI research and development, with at least 3 years specifically focused on computer vision.
- At least 5 years in a leadership role.
- Experience selecting and driving applied research projects to impact key metrics like detection time and location accuracy.
- Experience with deep learning frameworks (PyTorch, TensorFlow) and common computer vision libraries (OpenCV).
Preferred Skills
- Experience with 3D computer-vision and geometry related problems.
- Experience with geospatial data processing systems / GIS.
- Experience with satellite data / remote sensing
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.
Pano 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
