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Hoxhunt ищет лидa инженерной команды для обеспечения доставки и операционной устойчивости дата-ориентированных продуктов SaaS. Вы будете руководить командой инженеров, развивать стек технологий и архитектуру, сочетая скорость и качество, чтобы выпускать ценные решения для защиты организаций от кибератак.
Кандидат имеет подтверждённый опыт ведения продуктово-ориентированных проектов, наставничество сотрудников и способность строить процессы для масштабирования команды и инфраструктуры.
Hoxhunt develops AI-driven cybersecurity products for human risk management. Its products combine personalized security awareness training, threat detection, threat intelligence, and response tools to protect organizations against cyberattacks.
Lead engineering delivery for data-intensive reporting and integration products, translating product strategy into delivery plans and shipped outcomes Partner with Product Management to solve customer problems and deliver value Make pragmatic architecture decisions and improve operational excellence Build alongside the team in the production stack while maintaining technical judgment and avoiding bottlenecks Own team development, performance management, and hiring for a growing team of 8+ engineers Build deep context of the people, product, delivery, and operations, establish trust, and take ownership of team management Shape roadmaps, drive technical solutions, and elevate the team’s technical and operational maturity Act as the link between engineering execution and business strategy, ensuring the team has clarity and support
Proven hands-on Tech Lead or Engineering Manager experience with a product team Track record of shipping and operating large-scale, data-intensive SaaS systems with high standards for availability, latency, and data quality Full-stack competence in Node.js, TypeScript, React, GraphQL, MongoDB, K8s, and GCP Experience operating production systems, including observability, incident response, and performance optimization Strong product and engineering judgment, with the ability to balance speed and sustainability and know when to simplify Ability to mentor engineers, set high standards, and build a delivery system that scales with the team Ability to challenge product, peers, and management when customer or business interests are being shortchanged Practical, production-grade AI/LLM engineering experience or strong evidence of being able to ramp up quickly Ability to ship AI-driven capabilities safely and use AI tools to increase hands-on contributions, including designing and optimizing harnesses for agents and applying feedback loops and continuous improvement