[Hiring] Senior Engineering Manager @BforeAI

Role Description

BforeAI is an innovative and rapidly expanding scale-up dedicated to deterring cybercrime through cutting-edge predictive and preemptive technologies. We've harnessed the power of prescriptive AI to revolutionize the way we tackle cyber threats, stopping attacks before they launch.

Join us in the fight for a safer cyberspace!

What’s cool about this job

• Work with a dedicated global team on technically difficult problems involving cybersecurity, distributed systems, data engineering, machine learning, and SaaS product development.
• Help turn raw and rapidly changing threat information into dependable product behavior.
• Write production services, define clear boundaries between components, handle failure deliberately, and make results understandable to operators and customers.

What you’ll be doing

• Act as a player-coach manager responsible for Software Engineering and Security Research Engineering.
• Lead the team turning 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.
• Manage Software Engineering and Security Research Engineering, including hiring, onboarding, performance, career development, and delivery.
• Own the process from research hypothesis through evaluation, implementation, release, and ongoing detection quality.
• Set the research agenda with Product and engineering leadership, prioritizing questions based on customer needs, coverage gaps, and available data capabilities.
• Work with researchers to validate evidence, assess coverage gaps, and determine production readiness.
• Work with engineers 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; establish implementation commitments as findings are validated.
• Plan delivery with Product using defined interfaces, acceptance criteria, dependencies, and capacity.
• Coordinate data access, interfaces, and reliability with Platform Engineering; enforce customer-data access boundaries.
• Guide product and detection design to reuse shared evidence, relationships, and history across customer workflows.
• Evaluate how data quality and freshness affect results.
• Develop technical leads and independent ownership; adapt team structure and working practices as the team grows.
• Resolve customer escalations and production issues requiring engineering and research expertise; address recurring causes.
• Support AI-assisted engineering and research with evaluation and review of results.

Qualifications

• 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.
• 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 to evaluate approaches, challenge assumptions, and resolve problems across software engineering and threat research.
• Experience owning hiring, performance management, and career development for a multidisciplinary team.
• Ability to manage research uncertainty while maintaining clear delivery expectations.
• 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.

Requirements

• Experience with external threat intelligence, phishing, malicious domains, impersonation, or adversarial infrastructure analysis.
• Experience developing technical leads and expanding delegated ownership as a team grows.
• A software development background, particularly with Python or Go.
• Experience with cloud services, event-driven systems, graph-based analysis, or evaluating ML-assisted detections.
• Experience using AI development or research tools with measurable quality controls.

Benefits

• Flexible time off, sick days, all public holidays, and stock options.
• Intellectually stimulating company environment with a bright, dedicated team from across the globe.