AI Transformation Owner, Product & Design

🕒 Agosto 19

🌐 Estados Unidos, Canadá, +1 outros países – Remoto

infoinfo

💵 $203.200 - $345.600 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🎨 Designer de Produto (UI/UX)

👻 Score fantasma 1%

infoinfo

🗣️🇺🇸🇬🇧 Inglês obrigatório

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GitLab

1001 - 5000 funcionários

Fundada em 2014

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

💰 Secondary Market em 2020-11

Consulting • Marketing • Artificial Intelligence

O GitLab é uma plataforma completa de DevOps, entregue como uma única aplicação, que transforma fundamentalmente a forma como os times de Desenvolvimento, Segurança e Ops colaboram e desenvolvem software. Da ideia à produção, o GitLab ajuda os times a reduzir o tempo de ciclo de semanas para minutos, diminuir os custos de desenvolvimento e o time to market, ao mesmo tempo em que aumenta a produtividade dos desenvolvedores.

Descrição

• Own the function's AI strategy in alignment with the Executive Sponsor and business priorities • Identify high-impact opportunities where AI can transform workflows and define measurable success metrics • Map end-to-end work flows and upstream/downstream handoffs across organizations • Manage intake of AI requests, ideas, and pain points • Prioritize AI initiatives against business outcomes and executive guidance • Reimagine workflows and drive adoption and change management • Coordinate with Enterprise AI on tools, patterns, and learnings • Build and bridge a Champion network across sub-teams • Build AI agents using no-code and low-code platforms such as Glean and Workato • Author and iterate on skills files defining agent behavior • Configure MCP servers and tools securely with the AI Engineer • Own the function's agent fleet, tracking KPIs, evaluating changes, and iterating on performance • Partner with an AI Engineer on technical delivery, architecture, and production-grade scaling

🎯 Requisitos

• Deep knowledge of your function's operations • Strategic prioritization skills and ability to make hard calls about competing demands • Product management mindset, including intake, backlog, iteration, adoption, and success metrics • Strong communication and influence skills • Cross-functional understanding of organizational processes • Experience building peer networks or communities of practice • Comfortable building AI agents, configuring skills, connecting MCP servers, and troubleshooting issues • Experience with or willingness to quickly learn no-code/low-code AI platforms, prompt engineering, and agent configuration • Strong conceptual understanding of AI capabilities, including summarization, classification, generation, automation, and agentic workflows • Ability to map structured and unstructured data flows • Commitment to staying current with rapidly changing AI developments

🏖️ Benefícios

• Benefits to support your health, finances, and well-being • Flexible Paid Time Off • Team Member Resource Groups • Equity Compensation & Employee Stock Purchase Plan • Growth and Development Fund • Parental Leave

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