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Fin is an AI customer service company that has built the highest-performing AI customer agent on the market. The company, founded in 2011 and now part of Intercom, serves nearly 30,000 global businesses with AI-powered customer support solutions.
You will lead the AI Models Infrastructure team within Fin's AI Group. This team builds and operates the foundational infrastructure that enables Fin's teams to train and deploy the company's proprietary AI models at scale. This is a highly technical engineering manager role requiring deep familiarity with AI/ML systems.
Key responsibilities include:
- Leading a high-performing team of expert engineers building platform and infrastructure for AI capabilities
- Magnifying team effectiveness by removing impediments and accelerating progress
- Supporting ML scientists and engineers building AI-powered features
- Planning, prioritizing, and delivering high-impact roadmaps in partnership with senior engineers, balancing delivery, quality, and innovation
- Empowering engineers to act with agency and maximize impact
- Expanding scope over time to own additional platform domains as the team and AI initiatives grow
Required qualifications:
- Hands-on experience training ML models and operating them in production at scale
- Prior experience leading infrastructure or platform teams
- Strong background as an engineer
- Strong technical judgment and communication skills to advocate for team needs
- Adaptable leadership style suited to rapid growth and organizational change
- Curiosity and enthusiasm for AI
The role offers competitive salary, equity, flexible paid time off, comprehensive health/dental insurance, pension matching up to 4%, paid parental leave, and a collaborative London-based office environment with hybrid flexibility.
