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 is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers. Pano leverages mountaintop cameras and satellites to detect the first traces of smoke and put real-time fire images in the hands of asset owners and first responders to speed up containment. Pano is already partnering with major utilities, fire authorities, and government agencies in the USA and Australia. Recent media coverage includes being named one of the Top 10 most innovative companies in AI of 2023 by FastCompany and recipient of the Innovative Mobile Service and Application Award at Mobile World Congress through our partnership with T-Mobile.
Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Our team is composed of experienced technology professionals from companies such as Apple, Cisco, Nest, DoorDash and Meta. 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 $40M from leading VC funds.
The Role
As a geospatial data analyst reporting to the current geospatial R&D engineer lead, you will serve a critical role in identifying and screening candidate locations for camera deployments primarily using currently developed site selection methodologies involving geospatial analysis. This role will work closely with operations, sales, customer success and supply chain teams to provide deployment proposals, extensive site scrubs, press materials, and geospatial statistics to support each team’s activities. An ideal candidate will have a strong mathematical background with an attention to detail and precision as well as some exposure to databases and scripting language. You will also work with the current R&D engineer lead to develop and maintain geospatial datasets, project and map templates, and automation scripts for commonly performed tasks.
The Role
As a geospatial data analyst reporting to the current geospatial R&D engineer lead, you will serve a critical role in identifying and screening candidate locations for camera deployments primarily using currently developed site selection methodologies involving geospatial analysis. This role will work closely with operations, sales, customer success and supply chain teams to provide deployment proposals, extensive site scrubs, press materials, and geospatial statistics to support each team’s activities. An ideal candidate will have a strong mathematical background with an attention to detail and precision as well as some exposure to databases and scripting language. You will also work with the current R&D engineer lead to develop and maintain geospatial datasets, project and map templates, and automation scripts for commonly performed tasks.
Final salary offered is based upon multiple factors, including individual job-related qualifications, education, experience, knowledge, skills and location. In addition to salary, this position is also eligible for stock options. We offer comprehensive health insurance, paid time off, and 401k.
What you’ll do
What you’ll bring
Nice to have
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.
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 is a venture-backed early-stage climate tech startup that is the leader in wildfire early detection, leveraging the latest advancements in IoT, AI, satellites, and SaaS software to deliver actionable intelligence to customers. Pano leverages mountaintop cameras and satellites to detect the first traces of smoke and put real-time fire images in the hands of asset owners and first responders to speed up containment. Pano is already partnering with major utilities, fire authorities, and government agencies in the USA and Australia. Recent media coverage includes being named one of the Top 10 most innovative companies in AI of 2023 by FastCompany and recipient of the Innovative Mobile Service and Application Award at Mobile World Congress through our partnership with T-Mobile.
Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Our team is composed of experienced technology professionals from companies such as Apple, Cisco, Nest, DoorDash and Meta. 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 $40M from leading VC funds.