TU PRÓXIMO CAPÍTULO
AI Product Operations Lead
Sobre el puesto
• Build and continuously improve the backlog of AI opportunities across R&D
• Take ambiguous problems from discovery through delivery, testing, documentation, launch, measurement, and improvement
• Design simple, AI-native solutions using prompts, workflows, integrations, agents, databases, or custom applications
• Help R&D use enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support
• Own the lifecycle of automations, skills, agents, and internal web applications
• Establish approaches to evaluation, testing, reliability, observability, security, and maintenance
• Partner across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts
• Help evolve R&D AI governance and enablement practices
• Participate in Typeform’s broader AI governance efforts
• Work with Finance to improve visibility into AI tool usage, spend, and value
• Explore and support autonomous agents across the product development lifecycle
• Strong practical experience applying AI to real-world problems and building solutions that people use
• Track record taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement
• Excellent systems thinking across people, processes, tools, data flows, integrations, permissions, and technical constraints
• Strong user and workflow discovery skills
• Hands-on technical fluency building, modifying, and troubleshooting internal workflows, automations, agents, or applications
• Practical experience with GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting
• Experience managing work independently, including backlogs, dependencies, risks, documentation, and stakeholder communication
• Strong approach to evaluation and reliability, including testing, feedback collection, and post-launch improvement
• Ability to work across technical and non-technical teams without close day-to-day direction
• Good judgment around responsible AI, security, access, and governance