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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading software engineering and threat research teams, with a strong focus on SaaS product development, threat intelligence, and detection engineering. Capable of translating research findings into production-ready capabilities while managing performance and career development within a multidisciplinary team.
Highest-signal resume keywords
SaaS Product DevelopmentThreat Intelligence ManagementSoftware Engineering DeliveryTechnical LeadershipAI-Augmented Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonGoThreat ResearchDetection EngineeringData Quality AssessmentValidation and TestingProduction ReadinessCloud ServicesEvent-Driven SystemsGraph-Based Analysis
Soft Skills
Performance ManagementCareer DevelopmentDocumentationCollaborationProblem Solving
Tools & Technologies
Azure Data Lake StorageAzure Data ExplorerPostgreSQLNeo4jRedisDatabricksKubernetesEvent HubsKafka-Compatible Messaging
Industry Keywords
Threat ResearchDetection MethodsMalicious DomainsPhishingAdversarial Infrastructure Analysis
Tech Stack
Tools & technologiesAzureCloudKafkaKubernetesNeo4jPostgresPythonRedisGo
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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
Benefits
Comp & perks- 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