
1001 - 5000 employés
Fondée en 2014
💼 Conseil
📣 Marketing
🤖 Intelligence artificielle
💰 Secondary Market en 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab est une plateforme DevOps complète, proposée sous la forme d’une application unique, qui change en profondeur la manière dont les équipes Développement, Sécurité et Ops collaborent et construisent des logiciels. De l’idée à la production, GitLab aide les équipes à réduire le temps de cycle de plusieurs semaines à quelques minutes, à diminuer les coûts de développement et le time to market, tout en augmentant la productivité des développeurs.
🕒 il y a 7 jours
🌐 États-Unis, Canada – Distant
💵 $203 200 - $345 600 / an
⏰ Temps Plein
🔴 Expert
✅ Responsable Produit
👻 Score fantôme 0%
🗣️🇺🇸🇬🇧 Anglais requis
Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

1001 - 5000 employés
Fondée en 2014
💼 Conseil
📣 Marketing
🤖 Intelligence artificielle
💰 Secondary Market en 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab est une plateforme DevOps complète, proposée sous la forme d’une application unique, qui change en profondeur la manière dont les équipes Développement, Sécurité et Ops collaborent et construisent des logiciels. De l’idée à la production, GitLab aide les équipes à réduire le temps de cycle de plusieurs semaines à quelques minutes, à diminuer les coûts de développement et le time to market, tout en augmentant la productivité des développeurs.
• Define Orbit's multi-year vision and roadmap across graph models and ontology, ingestion and indexing, query and retrieval, developer and agent interfaces, governance, and enterprise readiness • Shape how Orbit works across GitLab.com, Self-Managed, Dedicated, GitLab Duo Agent Platform, MCP-based external agents, APIs, and developer tooling • Turn complex platform opportunities into customer problems, measurable outcomes, and investment decisions • Partner with Engineering and Design on architecture and implementation tradeoffs across graph data models, indexing, query systems, APIs, MCP, authorization, and scale • Use AI tools such as Claude Code and GitLab to investigate problems, explore code and data, prototype concepts, and create or review merge requests • Lead discovery with developers, engineering leaders, platform teams, security teams, and technical executives • Define target customers, priority use cases, differentiated value, and the path to product-market fit • Partner with Product Marketing, Sales, Solutions Engineering, Customer Success, Pricing, and Finance on positioning, packaging, pricing, launch, adoption, and expansion • Develop business cases and track adoption, retention, usage, customer value, and revenue outcomes • Support executive briefings, analyst conversations, customer workshops, and field enablement • Align teams and executive leaders around recommendations and tradeoffs • Mentor other product managers and represent GitLab's product vision in customer and industry conversations
• Experience owning complex technical products or platforms at Staff, Principal, or equivalent scope, with a track record of defining vision and roadmaps across multiple teams • Deep technical fluency in one or more relevant areas, such as developer tools, DevOps, software delivery, data platforms, distributed systems, knowledge graphs, search, APIs, AI infrastructure, or agentic systems • Ability to work credibly with engineers on architecture, data models, APIs, scale, reliability, and security • Business judgment and experience in market assessment, product strategy, pricing, packaging, business cases, or commercialization of technical products • Experience taking a product, platform, or category from early concept through launch, customer adoption, and iteration • Customer-first approach and ability to build trusted relationships with technical practitioners, engineering leaders, architects, and executives • Clear written and verbal communication, with experience explaining complex ideas, influencing across functions, and resolving competing priorities in ambiguous work • Practical experience using AI tools in product work, including exploring code and data, prototyping workflows, and creating or reviewing merge requests • Candidates must be residents of the United States or Canada, based on the listed location
• 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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