Engineer Manager – Stay At Home Jobs

Job Type: Engineer Manager from home
Location: Arizona work from home
Company: Abnormal Security

Position Description:

Consider applying if you are a motivated, first-principles Engineering Leader who has led efforts that directly support Machine Learning and Data Science teams in production contexts. Communication is at the heart of what we do, and it comes naturally to us.

So you’re “that kind” of boss? If you’ve found yourself in this situation, you should seriously consider applying:

• Justifying “Why ML Matters” to consumers or management
• Many hours spent explaining to your executive team why you can’t just “throw in some AI”
• You’re sick of discussing “machine learning fancy reporting” to your (fourth!) recruiting partner.

Finally, you should DEFINITELY apply if you:

• You want your efforts (and those of your team) to have a significant and positive impact on the people who use what you produce.
• You want to lead a group of extremely skilled and world-class individuals from various backgrounds who are all committed to the same goal.
• You believe that a culture of customer listening empowers the next generation of success.

Qualifications

• 5+ years of professional experience as a hands-on engineer (MLE or SWE) designing data-oriented products and/or ML systems/products is required.
• 2+ years of experience managing end-to-end, production-level ML solutions or ML-adjacent Software Engineering teams.
• Working knowledge of real-time, online, and/or high-throughput, low-latency distributed systems
• Ability to collaborate with cross-functional teams and customers to define requirements and ensure downstream clarity
• Ability to develop and carry out hiring plans in order to satisfy roadmap deliverables and budgetary constraints
• Ability to create and maintain repeatable procedures to streamline design documentation, roadmap planning, and overall goal tracking and achievement.
• Capability to anticipate future technological barriers and assist in providing proven methods to avoid/mitigate them
• Experience in “security” is not essential, however we welcome people who are interested in Fraud, Security, Safety, or other related fields. Backgrounds in Rank & Recommendation, Search, Ad Tech, and other areas are also common among the team members.