Senior Software Engineering Manager
Posted on 9/12/2023
INACTIVE
Pano AI

51-200 employees

AI-powered early wildfire detection and mitigation platform
Company Overview
Pano AI, a leading company in early wildfire detection and intelligence, offers a unique blend of advanced hardware, artificial intelligence, and software to provide real-time, actionable intelligence on wildfire threats. Their integrated solution, Pano Rapid Detect, combines multiple data sources, including ultra-high-definition cameras and satellite feeds, to empower detection specialists with rapid data analysis and enhanced visual equipment, significantly speeding up response times. With a team of seasoned technology professionals from renowned companies, Pano AI is committed to providing advanced tools to firefighters, thereby safeguarding lives, communities, and the environment.
Data & Analytics
Hardware
Energy
Fintech
AI & Machine Learning
Aerospace

Company Stage

Series A

Total Funding

$45M

Founded

2019

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

64%

1 year growth

109%

2 year growth

245%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
Software Engineering
Requirements
  • 10+ years of engineering experience plus a BS in Computer Science or equivalent
  • 3+ years of experience managing a software engineering team building a full-stack cloud-based application
  • 3+ years of operating in an early-stage startup (<100 engineers)
  • Preferred Qualifications:
  • Experience building software as a service for heavily regulated large enterprises (including governments)
  • Excellent communication skills
Responsibilities
  • Your team will develop new customer-facing features, meet large enterprise security requirements, and improve the reliability and scalability of the systems
  • Work with product management to develop the product roadmap
  • Lead the team through the full software development life cycle, including development, testing, deployment, operation and support of the software
  • Build a culture that is efficient at execution with knowledge shared across the team
  • Ensure the engineering team operates smoothly, including running efficient meetings