Engineering Manager

Join Point, a fast-growing startup in the fintech space, as an Engineering Manager. In this role, you will lead a small, senior engineering team, define the AI technical strategy for customer experience, and work closely with cross-functional teams. You will also have the opportunity to write code alongside your team and drive observability and reliability across the AI agent stack. Enjoy a range of benefits, including health insurance, unlimited vacation, continued learning opportunities, and family-friendly policies.

• Definir la estrategia técnica de IA para la experiencia del cliente, incluyendo la evaluación y selección de marcos, plataformas y soluciones de proveedores.
• Ser responsable de la hoja de ruta técnica para la experiencia del cliente impulsada por IA, incluyendo agentes de voz, correo electrónico, chat y SMS.
• Escribir código junto a su equipo, revisar solicitudes de extracción, prototipar nuevas capacidades de agentes y depurar problemas de producción.

• Experience managing and mentoring engineers, driving performance, and building a strong, accountable engineering culture
• Proven ability to hire, mentor, and develop high-performing engineering teams, fostering a culture of ownership, innovation, and continuous learning
• Experience defining and driving technical strategy and roadmaps for AI-driven, agentic customer experiences aligned with business objectives
• Strong ability to partner with cross-functional stakeholders (Product, Operations, CX) to translate business needs into scalable technical solutions and deliver measurable impact
• Familiarity with conversational AI infrastructure such as telephony, messaging APIs, or chat platforms at scale (preferred)
• 7+ years of software engineering experience building and operating production systems, including at least 2 years leading or managing engineering teams
• Demonstrated technical leadership, including guiding architecture decisions, evaluating trade-offs, and ensuring high-quality execution
• Hands-on experience with LLM and agent development, including prompt engineering, RAG, tool usage, and orchestration frameworks
• Comfortable making build-vs-buy decisions and rigorously evaluating third-party vendors and platforms
• Proven experience developing and shipping LLM-powered, conversational AI, or agentic systems in real-world environments
• Experience with AI/ML evaluation and observability, including instrumentation for quality, drift detection, and continuous improvement (preferred)
• Track record of delivering customer-facing products end-to-end, from initial design through deployment, monitoring, and iteration
• Deep systems design expertise, with a focus on building reliable, observable, real-time services
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience