Axon Software Engineering Manager leading the Forward Deployed Engineering team at Axon, responsible for resolving live site problems and improving product quality. Manage incident response, root-cause analysis, and customer escalations.
Responsibilities
Dedrone protects airspace from drone threats. Each deployment combines our software, our own and partner sensors, and a networking stack that connects the site to DedroneC2 in the cloud. As Engineering Manager for Forward Deployed Engineering, you lead the team that owns the technical outcome at our most critical customer sites.
Your team takes each problem from live triage to a fix in the product. You have the authority to raise defects and to join design reviews with our product teams, based on what your team sees first-hand in the field. One question guides the work: how do we leave the product better than we found it, so nobody has to work this issue again?
Location: Onsite at our Sterling, Virginia office 4 days a week, and on the road 50% of time
Reports to: Senior Engineering Manager
Direct Reports: 3
Hire, coach, and develop software engineers and systems specialists across the US and Europe.
Lead a team that resolves live site problems with customers and installers as they come in, and plan its workload and its place on the engineering on-call rota.
Run strong operational practices: incident response, root-cause analysis, reviews after incidents, and risk reduction.
Drive field escalations to resolution with product engineering teams, and make sure each root cause is fixed in the product.
Own and improve the runbooks, checklists, and acceptance tests that make deployments repeatable.
Work with sales, services, and support teams on customer deployments.
Travel to customer sites and events when the work needs it.
Qualification
Production operations experienceLinux and networking expertise
Required
5+ years software development experience or equivalent engineering background
2+ years engineering leadership experience
Technical judgment to review designs and code
Production operations experience
Linux and networking expertise
Hands-on experience with AI-assisted engineering tools
