• The ideal candidate for this role will have experience in leading production engineering teams that build scalable distributed systems and high-throughput real-time solutions
• While knowledge/passion for Security or Fraud is a plus, it isn’t a requirement to be a successful leader for this team; here you’ll use what you picked up while working in Ads (or Search, Recommendation, etc.) in novel & exciting ways - all in the name of making the world a safer place
• You set high standards and expectations for project execution for yourself and the whole team
• You want to leverage your experience in running high-scale, real-time serving systems to guide a team to build out a Platform that protects our Customers from the most advanced Email attacks
• You are results-oriented, value collaboration, self-motivated, and willing to adapt to change in a fast-moving environment
• You operate within an agile environment, and provide leadership to adapt to dynamics in technology, industry, cyber threats, and our own business
• You are Customer-obsessed: you are excited to customer needs with how your team provides impact
• 5+ years of professional experience as a hands-on engineer (either MLE or SWE) building data-oriented products and/or ML systems/products
• 2+ years of managing production ML Ops (preferred), or ML-Adjacent Platform teams
• Experience with real-time, online, and/or high-throughput & low-latency distributed systems
• Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.)
• Mentor & team amplifier - Has led teams of platform engineers and helped build out systems that make ML engineers 10x more effective
• Customer obsessed: Working with our internal engineers to determine the systems and signals roadmap and balance against engineering needs. Meeting with customers to understand their needs and explain our engineering roadmap
• Recruiting magnet - you are able to set up a hiring plan, attract senior engineers, outline the vision of the team and build out a large team
• Knowledge of best practices across the ML Ops community
• High standards - sets high standards and expectations for project execution for themselves and the whole team

Desirable

• Abnormal Security is looking for a Senior Engineering Manager to lead the Detection Serving & Signals (“DS&S”) team
• You and your team will be responsible for the platforms & systems that power our core Detection capabilities
• Tier 0+ email scoring services at Abnormal, which are in the critical path for Remediation in Abnormal’s Email Security Product
• Abnormal’s Feature Store (Compass), which provide a feature engineering platform to make adding and changing features a fast, responsive, stable, and confident experience for engineers
• Infrastructure to support processing, viewing, and accessing Message Entities in both an offline and online fashion
• Drive collaboration with internal and external customers & stakeholders
• Ownership & operational leadership over the teams responsible for:
• The infrastructure supporting our core detection capabilities
• The online and offline signals platforms
• The online model serving systems
• The model training & feature stores for existing and future products
• Building foundational capabilities of the systems and signal processing to enable 10x scaling 10x faster
• Leading and growing a team of Engineers to support these efforts