AI Product Operations Lead

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In short

→Liderar la operación interna de IA en el equipo de Producto y R&D.
→Convertir ideas ambiguas en soluciones operativas concretas usando IA, automaciones y sistemas.
→Ser el enlace clave entre estrategia de IA y ejecución diaria, con responsabilidad total tras el lanzamiento.

Proficiency in English is required for day-to-day collaboration across global teams.

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What they ask for

✓Experiencia en operaciones de producto o ingeniería con enfoque en sistemas y procesos.
✓Capacidad para trabajar con ambigüedad y liderar proyectos desde la descubrimiento hasta el despliegue.
✓Conocimiento práctico de herramientas de IA como Glean, Claude o agentes autónomos.
✓Habilidades sólidas en diseño de flujo de trabajo y optimización de procesos.
✓Experiencia colaborando con equipos multidisciplinarios (Product, Engineering, InfoSec, etc.).
✓Capacidad para documentar, medir y mejorar soluciones post-lanzamiento.

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

GleanClaudeSlackZapierHubspotPrompt engineeringAutomationInternal appsEnterprise AI toolsIT & InfoSec workflows

Who should you write to at typeform?

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.

Who we are Typeform is a refreshingly different form builder. We help over 150,000 businesses collect the data they need with forms, surveys, and quizzes that people enjoy. Designed to look striking and feel effortless to fill out, Typeform drives 500 million responses every year—and integrates with essential tools like Slack, Zapier, and Hubspot. Typeform is fully remote by design. For this role, we can hire candidates based in the UK, Ireland, Germany, Portugal or The Netherlands About the team Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products. AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle. The opportunity now is to turn that energy into something more systematic.That's where you come in. About the role We're looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D. This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You'll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch. One day, you might be working with a team to understand a frustrating workflow and deciding whether a simple prompt, automation, integration, agent, or internal app is the right answer. The next, you could be improving an existing AI workflow, testing its reliability, helping coordinate access to an enterprise AI tool, or working with IT and InfoSec to make sure a new solution can scale responsibly. You'll own the connective layer between AI strategy and day-to-day execution across R&D. This isn't a role for someone who only wants to prototype prompts, manage project plans, or write requirements. We're looking for someone who enjoys combining systems thinking, AI fluency, user discovery, technical execution, and operational ownership—and who wants to see things through. You'll report to our VP of Product Operations and work closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners across Typeform. What you'll do • Build and continuously improve our backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence the jobs where AI can have the greatest impact. • Take ambiguous problems from initial discovery through to delivery: understand the user and workflow, explore options and trade-offs, design the right system, build or coordinate implementation, test, document, launch, measure, and improve. • Design si

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