Operations Analyst, Pano AI
$110-150k
+ Equity
Early wildfire detection & monitoring
Be an early applicant
Early wildfire detection & monitoring
101-200 employees
Be an early applicant
$110-150k
+ Equity
101-200 employees
Company mission
To give firefighters advanced tools to safeguard lives, communities, and the environment.
Role
Who you are
- 4+ years of proven technical proficiency in SQL, including the ability to manage and sustain production-grade BI infrastructure across platforms like Metabase or Looker
- 4+ years experience using dbt (Cloud or Core) to develop robust data models complete with unit tests and documentation
- An inquisitive mindset with a commitment to immersing yourself in operational workflows, moving beyond the query editor to understand the human side of the process
- Proficiency in Python for statistical analysis; hands-on experience with time-series modeling or predictive forecasting is highly valued
- Ability to identify and integrate relevant third-party datasets to enhance internal analysis and provide a more comprehensive operational picture
- A rigorous, skeptical approach to data, ensuring you deeply understand what a metric represents before utilizing it for critical decisions
- Effective collaboration skills for partnering with central data teams, including the ability to define well-scoped and prioritized requests
- Articulate written communication capable of translating complex analytical findings for both technical peers and operational stakeholders
- Resilience and adaptability within a high-stakes, rapid-growth environment where data integrity is paramount to operational success
What the job involves
- Pano AI seeks an Operations Analyst that has experience working with third party vendors, on and off shore to manage workforce planning, and staffing, while reviewing and researching data points. You will be a technically strong, curious professional who is as comfortable digging into a messy SQL query as you are sitting with agents to understand how they actually work a case, and who takes pride in turning ad hoc investigation into durable, trustworthy reporting
- As Pano scales its wildfire detection network and brings on additional review vendors, the volume and complexity of the data Ops depends on is growing quickly. This role will give Ops the dedicated analytics capacity it needs to catch data quality issues early, keep vendor performance reporting accurate as operations evolve, and build the forecasting tools that keep staffing ahead of demand
- You will own the dbt models, SQL-powered Metabase dashboards, and tools that both individual contributors and leadership use in real time operational infrastructure. You will work with our existing analytics stack to implement end-to-end solutions consisting of importing data from a third party, modeling that data through dbt, and building Metabase dashboards using SQL. This is a role for someone who wants to live in operations and workforce planning
- Own the dbt models, Metabase dashboards, and self-serve tools that ICs and leadership rely on daily to do their jobs and check KPIs
- Investigate performance differences across vendors and time periods to surface trends and gaps that inform operational decisions
- Catch data quality issues in core reporting tables before they mislead decisions, and implement a fix whether that fix requires a change to underlying dbt models the tooling built on tope of those models
- Perform root-cause analysis of anomalies in vendor and agent performance data using a rigorous, hypothesis-driven approach
- Keep metric definitions consistent as Ops scales across multiple vendors, and proactively catch broken or misleading metrics before they reach a decision-maker
- Forecast staffing needs by analyzing historical incident volume, seasonality, and throughput data — and by identifying and incorporating external data sources (e.g., fire activity, weather, seasonal trends) where they meaningfully improve the forecast
- Analyze headcount and coverage against demand, and support scenario planning for peak wildfire season staffing
- Document findings clearly for both technical and non-technical audiences
- Spend real time with Ops' day-to-day workflows — understanding how agents and leads actually work — and bring that context back into the tools and analysis you build, rather than working solely from the back end
- Travel to international vendor sites to observe operations firsthand and bring those insights back into your analysis and tooling
Our take
With wildfires becoming an increasing concern across the globe, Pano AI has leveraged innovations in AI and computer vision technology to create an early warning and response system for the destructive phenomenon.
Using high-definition, remote-controllable cameras, its hardware is placed within forests, where it can be human-operated or work passively in scanning mode. The video feed is then analyzed by AI, which alerts authorities if it picks up smoke or fire.
At present, Pano AI is monitoring millions of acres of land. It has enjoyed substantial funding for its technology, has a partnership with T Mobile to utilize its 5G network, and has already helped to mitigate environmental disasters by delivering alerts before the first 911 call.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 4 rounds)
Jun 2025
$44m
SERIES B
Jul 2023
$17m
EARLY VC
Total funding: $89m
Company HQ
SoMa, San Francisco, CA
Leadership
Sonia Kastner
(Co-Founder & CEO)Previously Vice President of Supply Chain at PAX and a Global Supply Manager at Nest.
Arvind Satyam
(Co-Founder & CCO)Currently Growth Advisor at CoMotion and Young Global Leader at World Economic Forum and Board Member at NewCities. Previously Venture Partner at OzoneX Ventures.
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