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Jobs(26,854)/AI Engineer Role(611)/Typeform (11) - AI Product Operations Lead
Typeform

Typeform - AI Product Operations Lead

Remote - Germany3w ago
RemoteStaffEMEACybersecurityAI EngineerCloseBacklog ManagementGovernanceClaude

Requirements

• Strong practical experience applying AI to real-world problems—not just experimenting with models, but building solutions that people actually use. • A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement. • Excellent systems thinking. You can understand how people, processes, tools, data flows, integrations, permissions, and technical constraints fit together—and make thoughtful trade-offs between different approaches. • Strong user and workflow discovery skills. You know how to get beyond the initial request, understand the real job to be done, and simplify a solution when the original approach is more complex than it needs to be. • Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications. • Practical experience with modern development practices and tools such as GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting. • Experience managing work independently: prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating clearly with stakeholders. • A strong approach to evaluation and reliability. You think about what "good" looks like, how to test for it, how to collect feedback, and how to improve a system after it goes live. • The ability to work effectively across technical and non-technical teams. You're comfortable asking questions, challenging assumptions, seeking expert input, and making progress without needing close day-to-day direction. • Good judgment around responsible AI, security, access, and governance, and an understanding of when to bring in the right partners. • Typeform drives hundreds of millions of interactions each year, enabling conversational, human-centered experiences across the globe. We move as one team, empowering our collective efforts by valuing each individual’s unique perspective. This fosters strong bonds grounded in respect, transparency, and trust. We champion our diverse customer base by anticipating their needs and addressing their challenges with priority. Committed to excellence, we hold high expectations for ourselves and each other, continuously striving to deliver exceptional results. • move as one team • strong bonds • champion our diverse customer base • hold high expectations • We are proud to be an equal-opportunity employer. We celebrate diversity and stand firmly against discrimination and harassment of any kind—whether based on race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Everyone is welcome here.

Responsibilities

• 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 simple, AI-native solutions that fit naturally into how people work. You'll know when a prompt is enough—and when the problem calls for a workflow, integration, agent, database, or custom application. • simple, AI-native solutions • Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on areas including access, configuration, connectors, enablement, and support. • Own the lifecycle of the AI systems within your portfolio, including automations, skills, agents, and internal web applications. • Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance—using evidence and feedback to improve systems over time. • Partner with teams across R&D to uncover needs, unblock delivery, clarify ownership, and bring the right experts into the work. • Help run and evolve our R&D AI governance and enablement practices, giving leaders better visibility into active work, risks, adoption, and outcomes. • Participate in Typeform's broader AI governance efforts as an R&D contributor. • Work with Finance and other partners to improve visibility into AI tool usage, spend, and value, helping inform investment decisions. • Explore and support the development of autonomous agents that can improve how we plan, discover, design, build, evaluate, and manage work across the product development lifecycle.

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