Quality Assurance Engineer, Pano AI

$127-170k

+ Stock Options

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Java

Cypress

JIRA

Git

Senior and Expert level

San Francisco Bay Area

Early wildfire detection & monitoring

Be an early applicant

Early wildfire detection & monitoring

101-200 employees

B2BArtificial IntelligenceComputer VisionMachine LearningSaaSData AnalysisEnvironmental

Be an early applicant

$127-170k

+ Stock Options

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Java

Cypress

JIRA

Git

Senior and Expert level

San Francisco Bay Area

101-200 employees

B2BArtificial IntelligenceComputer VisionMachine LearningSaaSData AnalysisEnvironmental

Company mission

To give firefighters advanced tools to safeguard lives, communities, and the environment.

Job

Company

Role

Who you are

The ideal candidate is humble, hungry, and people-smart
They have experience working across the entire testing stack and a firm understanding of testing methodologies, UI testing, API testing, performance testing, automation, databases, and programming languages - including JavaScript and TypeScript
5+ years of hands-on experience as a QA Engineer
3+ years of professional experience in a fast-paced SaaS or a similar business environment
Expertise in creating and executing test plans, test cases, and QA processes for API and UI testing
Experience with automation testing frameworks, including Cypress, and knowledge of visual and accessibility testing
Familiarity with performance testing tools, such as k6
Proficiency in JavaScript/TypeScript for writing and maintaining automation scripts
Experience with issue-tracking systems, such as Jira
Familiarity with test-management systems, such as TestRail
Knowledge of SQL
Proven ability to troubleshoot and resolve complex issues during testing

Desirable

Hands-on experience with cloud platforms, such as GCP and AWS
Familiarity working with Linux-based systems as well as containerization and orchestration tools, such as Docker and Kubernetes
Familiarity with common DevOps tools and practices, such as Git and CI/CD
Familiarity with Python and Java
Familiarity with SOC2 / ISO 27001 security frameworks
Preference for someone who can work in the Pacific / Mountain time zones

What the job involves

For the QA Engineer role, we’re looking for somebody who will drive quality initiatives in unlocking new end-to-end capabilities for our users while building scalable and maintainable validation pipelines
At Pano, team members take ownership of what they do, and our approach to problem-solving relies heavily upon creativity, communication, and collaboration
They have experience working across the entire testing stack and a firm understanding of testing methodologies, UI testing, API testing, performance testing, automation, databases, and programming languages - including JavaScript and TypeScript
Work with your teammates across the entire stack, validating new features that enable positive impact for our users and our business
Analyze requirements, develop test plans, create test cases, automate and execute tests
Identify defects and create and track bug reports
Collaborate with product managers and developers
Execute manual or exploratory testing when needed
Implement, maintain, and run automation test suites - based on Cypress for API, UI testing, visual, and accessibility testing; and k6 for performance testing
Collaborate with other QA engineers to review their automation scripts
Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities
Participate in on-call rotation to respond to, triage, mitigate, and resolve production issues

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 3 rounds)

Jul 2023

$17m

EARLY VC

Sep 2022

$20m

SERIES A

Total funding: $45m

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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