Technical Lead Manager (Cortex AI Apps, Frontend)

Join our Cortex AI Frontend team as a Technical Lead Manager. You will be responsible for the technical direction and people leadership of a team of frontend engineers, driving projects from conception to deployment. You will collaborate closely with product managers and UX/UI designers, mentor and coach engineers, and lead the improvement of engineering processes. This role offers comprehensive health insurance, retirement plans, and various other benefits.

• Assumer la direction technique et le leadership des personnes pour une équipe d'ingénieurs frontend, en définissant la stratégie technique et en supervisant l'exécution des projets.
• Participer activement aux revues de conception, aux discussions d'architecture et aux mises en œuvre complexes des systèmes frontend, en garantissant l'évolutivité, la fiabilité et l'expérience utilisateur exceptionnelle.
• Mentorer et coacher les ingénieurs sur des défis techniques complexes et le développement de carrière, en développant une équipe forte et diversifiée par le biais d'un recrutement proactif.
• Proficiency in at least one additional language such as Python, Go, or Java
• Strong understanding of software engineering principles including design patterns, data structures, algorithms, and system design
• BS/MS/PhD in Computer Science, Engineering, or a related field, or equivalent experience
• 3+ years of experience managing and leading teams delivering mission-critical, high-concurrency, low-latency user interfaces
• Demonstrated ability to translate product requirements into technical specifications and lead engineering execution from concept to launch
• 9+ years of experience designing and building large-scale, user-facing systems in production
• Deep hands-on proficiency in JavaScript/TypeScript and the React ecosystem; ability to drill into complex frontend architecture and implementation on a routine basis
• Excellent collaboration and communication skills across engineering, product, and design stakeholders
• Experience building or shipping LLM-powered applications (through prior work, open source, or personal projects)
• Active use of AI coding assistants in your daily workflow — you treat AI as a high-trust collaborator, not just an autocomplete tool
• Experience with cloud environments such as AWS, Azure, or GCP
• Prior experience working on data analytics, BI, or conversational AI products for enterprise customers
• Familiarity with backend services and APIs that power AI/ML inference or data retrieval at scale