Senior Engineering Manager – Software Engineering, Security Research

Job not on LinkedIn

🔥 19 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BforeAI

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

💸 Finance

💰 Non Equity Assistance on 2024-02

Cybersecurity • Artificial Intelligence • Finance

BforeAI is a cybersecurity company that specializes in predictive security solutions to prevent online threats before they impact businesses. They offer the PreCrime™ platform, which autonomously predicts, blocks, and preempts cyber threats such as phishing, spoofing, impersonation, hijacking, ransomware, online fraud, and exfiltration. Using behavioral analytics and advanced artificial intelligence, BforeAI monitors suspicious domain activity and provides actional disruption far in advance of conventional threat intelligence tools. They cater to various industries including financial, manufacturing, retail, and media, aiming to protect brands from financial and reputational harm. BforeAI’s solutions integrate seamlessly with existing security systems to disrupt malicious activity proactively and are recognized for their effectiveness by reports from Gartner, being a 2024 Gartner Cool Vendor for AI in Banking & Investment Services.

📋 Description

• 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

• 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

• 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