
51 - 200 employees
Founded 2019
đŒ Consulting
đïž Defense
đŠ Logistics
đ° $44M Series B - Pano on 2025-06
Consulting âą Defense âą Logistics
Pano AI is an AI-powered wildfire detection and situational awareness platform that provides early detection, visual intelligence, and realâtime data to support faster, coordinated wildfire response. Its enterprise-grade solution notifies stakeholders of confirmed incidents and delivers actionable insights to utilities, fire professionals, and landowners to protect communities, infrastructure, and the environment.
đ„ 0 minutes ago
đ United States, Canada â Remote
đ” $117k - $140k / year
â° Full Time
đĄ Mid-level
đ Senior
âïž Operations
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51 - 200 employees
Founded 2019
đŒ Consulting
đïž Defense
đŠ Logistics
đ° $44M Series B - Pano on 2025-06
Consulting âą Defense âą Logistics
Pano AI is an AI-powered wildfire detection and situational awareness platform that provides early detection, visual intelligence, and realâtime data to support faster, coordinated wildfire response. Its enterprise-grade solution notifies stakeholders of confirmed incidents and delivers actionable insights to utilities, fire professionals, and landowners to protect communities, infrastructure, and the environment.
âą Own Metabase SQL, dashboards, and self-serve tools used daily by individual contributors and leadership for operational work and KPI tracking âą Investigate performance differences across vendors and time periods to identify trends and operational gaps âą Identify data quality issues in core reporting tables and submit requests for changes to dbt models or warehouse tables âą Root-cause anomalies in vendor and agent performance data using a hypothesis-driven approach âą Maintain consistent metric definitions and detect broken or misleading metrics âą Forecast staffing needs using incident volume, seasonality, throughput, fire activity, weather, and other relevant external datasets âą Analyze headcount and coverage against demand and support peak wildfire season staffing scenario planning âą Document analytical findings for technical and non-technical audiences âą Immerse in PIC Ops workflows to ensure tools and analysis reflect how agents and leads work âą Travel to international vendor sites to observe operations and incorporate insights into analysis and tooling
âą Proven technical proficiency in SQL âą Ability to manage and sustain production-grade BI infrastructure using platforms such as Metabase or Looker âą Inquisitive mindset and willingness to understand operational workflows firsthand âą Proficiency in Python for statistical analysis âą Hands-on experience with time-series modeling or predictive forecasting highly valued âą Ability to identify and integrate relevant third-party datasets âą Rigorous approach to understanding and validating metrics âą Ability to define well-scoped and prioritized requests for central data teams âą Strong written communication for technical and operational audiences âą Resilience and adaptability in a high-stakes, rapid-growth environment âą Ability to travel to international vendor sites âą Applicants must address United States work authorization and potential employment visa sponsorship âą Applicants must indicate whether they are located in the United States or Canada
âą Equity for regular full-time employees âą Health coverage may be provided, depending on local market standards and statutory requirements âą Retirement or pension contributions may be provided, depending on local market standards and statutory requirements âą Paid time off may be provided, depending on local market standards and statutory requirements
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