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Engineering Manager, AI Models Infrastructure

intercomreferrals·Londonlead

In short

  • →Liderar un equipo técnico que construye la infraestructura base para modelos de IA de Fin.
  • →Enfocado en acelerar el desarrollo de modelos de IA, eliminando obstáculos y priorizando impacto.
  • →Rol altamente técnico con crecimiento hacia nuevas áreas de plataforma en un entorno de IA en rápido crecimiento.

Proficiency in English is required for collaboration across global teams.

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What they ask for

  • ✓Experiencia liderando equipos técnicamente fuertes.
  • ✓Experiencia liderando equipos de infraestructura o plataforma.
  • ✓Conocimiento profundo en IA y entornos de entrenamiento de modelos.
  • ✓Capacidad para planificar y priorizar roadmaps con impacto alto.
  • ✓Aptitud para empoderar a ingenieros con autonomía y agencia.
  • ✓Capacidad de crecer y asumir nuevas responsabilidades en plataformas emergentes.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

AI modelstraining infrastructuredeployment infrastructureML pipelinesmodel monitoringCI/CDcloud infrastructuredistributed systemsobservabilitydata pipelines

Who should you write to at intercomreferrals?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. Fin is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by over 30,000 global businesses, Fin is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What’s the opportunity? We’re hiring an Engineering Manager for our AI Models Infrastructure Team in the AI Group . The AI Models Infrastructure team builds and operates the foundational infrastructure that empowers our teams to train and run Fin's own AI models. This is a highly technical EM role - you’ll lead a team of expert engineers in a fast-evolving technical domain. In order to empower this team to be most effective, you will need prior experience in AI, and the appetite to continually invest in deepening your technical knowledge. Learn more about Fin's engineering culture at intercom.engineering , and more about Fin at fin.ai . What will I be doing? You will: • Lead a high-performing team building the platform and infrastructure that power Fin's AI capabilities. • Magnify the team’s effectiveness , whether that means removing impediments, or finding ways to accelerate their progress. • Support teams of ML Scientists and Engineers building AI powered capabilities . • Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation. • Empower the engineers on the team to act with agency and maximize their impact. • Expand your scope over time , potentially taking ownership of additional platform domains as the team and AI initiatives grow. What skills do I need? • Experience leading technically strong teams. • Experience leading infra or platform teams. • Strong prior

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