
201 - 500 funcionários
Fundada em 2014
💼 Consultoria
🏥 Saúde
📦 Logística
💰 $200.000.000 Series D em 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly é uma empresa de software que oferece uma plataforma para gerenciamento de recursos e experimentação. Suas soluções permitem que os desenvolvedores controlem lançamentos de software através de feature flags, possibilitando implantações seguras e progressivas. A plataforma integra-se com várias ferramentas de desenvolvimento e suporta múltiplas linguagens de programação para simplificar a implantação e melhorar a experiência do desenvolvedor. As soluções da LaunchDarkly atendem a indústrias como serviços financeiros, saúde, alta tecnologia, varejo e governo, entre outras, proporcionando uma infraestrutura robusta que auxilia na entrega de experiências de usuário personalizadas e direcionadas.
🕒 Agosto 6
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $256.000 - $352.000 / ano
⏰ Tempo Integral
🔴 Especialista
🦅 Patrocina Visto H1B
👻 Score fantasma 7%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

201 - 500 funcionários
Fundada em 2014
💼 Consultoria
🏥 Saúde
📦 Logística
💰 $200.000.000 Series D em 2021-08
Consulting • Healthcare • Logistics
LaunchDarkly é uma empresa de software que oferece uma plataforma para gerenciamento de recursos e experimentação. Suas soluções permitem que os desenvolvedores controlem lançamentos de software através de feature flags, possibilitando implantações seguras e progressivas. A plataforma integra-se com várias ferramentas de desenvolvimento e suporta múltiplas linguagens de programação para simplificar a implantação e melhorar a experiência do desenvolvedor. As soluções da LaunchDarkly atendem a indústrias como serviços financeiros, saúde, alta tecnologia, varejo e governo, entre outras, proporcionando uma infraestrutura robusta que auxilia na entrega de experiências de usuário personalizadas e direcionadas.
• Own the Experimentation pillar, including product strategy, roadmap delivery, commercial outcomes, and investment across experimentation, warehouse-native analysis, and scalable infrastructure. • Partner with AI product, observability, and core feature management leaders to make experimentation the measurement layer of the AI software development lifecycle. • Build a closed loop from offline evaluation through production experiments, automatic promotion and rollback, and self-improving feedback loops for agents. • Win sophisticated, high-maturity data-science buyers by defining and shipping statistical, warehouse, and experiment-workflow capabilities. • Expand warehouse-native coverage across major data warehouses and query layers. • Deliver analysis-only mode, variance reduction, ratio and percentile metrics, exposure validation, and arbitrary-window analysis. • Run a high-performing product function, manage quarterly roadmap commitments, drive AI-assisted engineering productivity, and hire where gaps exist. • Represent the product externally to data scientists, PMs, experimenters, analysts, and partners; translate strategy to the field and equip sales for competitive evaluations. • Deliver improved experimentation deal win rates, strategic reference customers, active-customer and ARR growth, experimentation attach rate, engineering throughput, and AI-assisted development adoption.
• Senior product leader at GM, VP, or equivalent level with a track record owning a product line competing on statistical rigor and data infrastructure. • Deep operator-level fluency in experimentation methodology, including causal inference, variance reduction, ratio metrics, sequential testing, exposure design, multi-armed bandits, and composite/multi-objective metrics. • Experience running experimentation at scale against production data warehouses and non-deterministic systems where output variance affects sample-size and significance decisions. • Credibility with data science leaders and experimentation specialists at sophisticated organizations, with the ability to recruit them. • Experience leading a function comprising engineering, design, and data science. • Ability to set multi-quarter roadmaps, champion investment allocation, and report results to executive teams and boards. • Clear, direct communication and fast decision-making with incomplete information. • Opinionated perspective on experimentation in an AI-native world, including how agents and autonomous systems use experimentation infrastructure. • Preferred: Built or scaled experimentation as core infrastructure. • Preferred: Personally won competitive evaluations where sophisticated data-science organizations were the deciding voice. • Preferred: Shipped warehouse-native data products and understands customer data-infrastructure operations.
• 20% Bonus • Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits
Candidatar-se🕒 Agosto 5
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