AI Product Operations Lead

Typeform is a form builder helping over 150,000 businesses collect data with forms, surveys, and quizzes. The company is fully remote and hires candidates based in the UK, Ireland, Germany, Portugal, or The Netherlands. Product Operations is central to how Product and R&D teams work, creating systems and practices to focus on solving the right problems and delivering products. AI is increasingly important, with teams experimenting with tools like Glean and Claude, automations, agents, and AI usage throughout product development. The role of AI Product Operations Lead involves building and operating internal AI Operations capability for R&D. It requires turning ambiguous opportunities into reliable solutions by identifying high-value AI problems, understanding workflows, designing solutions, building or coordinating delivery, and being accountable for performance after launch. Responsibilities include: — Building and improving a backlog of AI opportunities across R&D, prioritizing impactful AI jobs. — Taking ambiguous problems from discovery to delivery: understanding users and workflows, exploring options, designing systems, implementing, testing, documenting, launching, measuring, and improving. — Designing simple AI-native solutions fitting naturally into workflows, deciding when prompts, automations, integrations, agents, databases, or custom apps are appropriate. — Helping R&D get value from enterprise AI tools like Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support. — Owning the lifecycle of AI systems including automations, skills, agents, and internal web apps. — Establishing evaluation, testing, reliability, observability, security, and maintenance practices, improving systems over time. — Partnering across R&D to uncover needs, unblock delivery, clarify ownership, and involve experts. — Running and evolving R&D AI governance and enablement practices, providing leaders visibility into work, risks, adoption, and outcomes. — Participating in broader AI governance efforts as an R&D contributor. — Working with Finance and partners to improve visibility into AI tool usage, spend, and value to inform investments. — Exploring and supporting autonomous agents to improve planning, discovery, design, build, evaluation, and management across product development. Requirements: — Strong practical experience applying AI to real-world problems, building usable solutions. — Proven track record taking ambiguous problems from discovery through implementation, testing, adoption, and improvement. — Excellent systems thinking to understand people, processes, tools, data flows, integrations, permissions, and constraints, making trade-offs. — Strong user and workflow discovery skills to understand real jobs and simplify solutions. — Hands-on technical fluency building, modifying, troubleshooting internal workflows, automations, agents, or apps. — Practical experience with modern development tools like GitHub, repositories, pull requests, application hosting, deployment, logging, and troubleshooting. — Ability to manage work independently: prioritizing backlog, handling dependencies and risks, documenting decisions, communicating with stakeholders. — Strong approach to evaluation and reliability, defining "good", testing, collecting feedback, and improving live systems. — Ability to work effectively across technical and non-technical teams, asking questions, challenging assumptions, seeking expert input, and progressing without close supervision. — Good judgment on responsible AI, security, access, governance, and knowing when to involve partners. The role reports to VP of Product Operations and collaborates with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and AI practitioners across Typeform.