Senior Engineering Manager – Software Engineering, Security Research

• Act as a player-coach manager for Software Engineering and Security Research Engineering
• Hire, onboard, manage performance, support career development, and oversee delivery
• Lead conversion of threat research and shared data capabilities into production detections and customer features
• Work directly with engineers and researchers on validation, design decisions, and production problems
• Own the process from research hypothesis through evaluation, implementation, release, and ongoing detection quality
• Set the research agenda with Product and engineering leadership
• Validate evidence, assess coverage gaps, and determine production readiness
• Collaborate on services, APIs, detection integration, testing, and production troubleshooting
• Establish detection evaluation and regression testing; track false positives, missed threats, coverage, and production behavior
• Set research objectives and evaluation criteria and establish implementation commitments
• Plan delivery with Product using defined interfaces, acceptance criteria, dependencies, and capacity
• Coordinate data access, interfaces, and reliability with Platform Engineering while enforcing customer-data access boundaries
• Guide product and detection design to reuse shared evidence, relationships, and history across customer workflows
• Develop technical leads and independent ownership and adapt team structure as the team grows
• Resolve customer escalations and production issues requiring engineering and research expertise
• Support AI-assisted engineering and research with evaluation and review of results

• Experience leading development of SaaS products and/or products built on shared data platforms
• Experience directly managing threat intelligence, threat research, detection engineering, or vulnerability research teams whose work contributed to a production security product
• Experience leading software engineering delivery and managing technical contributors across engineering and research disciplines
• Evidence of translating research findings into shipped capabilities, including validation, testing, deployment, and ongoing quality improvement
• Technical depth across software engineering and threat research, including architecture, detection methods, and data quality
• Experience owning hiring, performance management, and career development for a multidisciplinary team
• Ability to manage research uncertainty while maintaining clear delivery expectations and balancing exploration with customer commitments
• Ability to document decisions and coordinate delivery across engineering and research in a remote team
• Willingness to learn and apply AI-augmented engineering and research practices
• Experience with external threat intelligence, phishing, malicious domains, impersonation, or adversarial infrastructure analysis may help
• Experience developing technical leads and expanding delegated ownership as a team grows may help
• Software development background, particularly with Python or Go may help
• Experience with cloud services, event-driven systems, graph-based analysis, or evaluating ML-assisted detections may help
• Experience using AI development or research tools with measurable quality controls may help
• Understanding of engineering principles underlying Go, Python, Event Hubs, Kafka-compatible messaging, Azure Data Lake Storage, Azure Data Explorer, PostgreSQL, Neo4j, Redis, Databricks, Kubernetes, and Azure-managed compute services
• Must be authorized to work in the country where based; position is not eligible for visa sponsorship

• Flexible time off
• Sick days
• All public holidays
• Stock options
• Benefits tailored to the country where you will be working
• Reasonable accommodations for qualified individuals with disabilities as needed