Senior Analytics Engineer

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 Role

We’re looking for a Senior Analytics Engineer to join our small but growing analytics team and lead the development of our data transformation layer. This is a highly stakeholder-facing role where you’ll meet with teams across the company to understand their data needs and deliver trusted, well-modeled data solutions. You’ll be the dbt expert on our team, ensuring our pipeline is reliable, scalable, and supports a wide range of use cases. Your work will lay the foundation for high-impact insights across the organization.

• Own and evolve our dbt project to support reliable, scalable, and well-documented data transformations.
• Partner directly with stakeholders across departments to translate data needs into actionable models and solutions.
• Blend data from various sources (e.g. Mixpanel, Intentwise, and Salesforce) into a cohesive analytics layer that supports reporting and decision-making.
• Maintain and enhance our data models in BigQuery to power analytics, dashboards, and operational workflows.
• Implement and uphold best practices around data governance, testing, and documentation.

• 5+ years of experience in analytics engineering + data analysis, including 2+ years working extensively with dbt.
• Deep expertise in SQL, with a track record of building modular, well-documented, and performant models
• .Experience with modern data stacks and tools. BigQuery and Metabase are a plus, but equivalent tools are welcome.
• Strong communication skills and a collaborative approach to working with business and technical stakeholders.
• Bonus: familiarity with Python for scripting, data validation, or orchestration tasks.

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.