Senior Engineering Manager – Software Engineering, Security Research

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🕒 Outubro 9

🇦🇷 Argentina – Remoto

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 12%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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BforeAI

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🔒 Cibersegurança

🤖 Inteligência Artificial

💸 Finanças

💰 Non Equity Assistance em 2024-02

Cybersecurity • Artificial Intelligence • Finance

BforeAI é uma empresa de cibersegurança que se especializa em soluções de segurança preditiva para prevenir ameaças online antes que elas impactem os negócios. Eles oferecem a plataforma PreCrime™, que prevê, bloqueia e antecipa ameaças cibernéticas, como phishing, spoofing, personificação, sequestro, ransomware, fraude online e exfiltração, de forma autônoma. Utilizando análise comportamental e inteligência artificial avançada, a BforeAI monitora atividades suspeitas de domínios e proporciona interrupção antes mesmo das ferramentas convencionais de inteligência de ameaças. Eles atendem a diversas indústrias, incluindo o setor financeiro, manufatura, varejo e mídia, com o objetivo de proteger marcas de danos financeiros e reputacionais. As soluções da BforeAI se integram perfeitamente aos sistemas de segurança existentes para interromper atividades maliciosas de forma proativa e são reconhecidas por sua eficácia em relatórios da Gartner, sendo uma empresa nomeada como Gartner Cool Vendor em 2024 para IA em Serviços Bancários & Investimentos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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

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