
1001 - 5000 funcionários
Fundada em 2011
☁️ SaaS
🤝 B2B
🤖 Inteligência Artificial
💰 $1.200.000 Secondary Market - Redis em 2021-12
SaaS • B2B • Artificial Intelligence
Redis é uma plataforma de dados na memória e repositório de dados open-source que oferece serviços de cache, streaming, busca e dados em tempo real com baixa latência. Oferece tanto o Redis Cloud (uma solução SaaS gerenciada) quanto o software open-source Redis para implantações on-premises/híbridas, além de um conjunto de ferramentas e extensões—Redis Iris (contexto em tempo real para agentes de IA), Redis Context Retriever, LangCache, Redis Flex (armazenamento em camadas RAM+flash), replicação multi-região Ativo-Ativo, Redis Insight UI e SDKs de cliente. O Redis é utilizado para cargas de trabalho essenciais como cache, gerenciamento de sessões, mensagens/streams em tempo real, armazenamento de recursos, busca vetorial e busca semântica para RAG/IA, detecção de fraudes e tomada de decisão em tempo real, visando desenvolvedores e clientes corporativos em setores como serviços financeiros, e-commerce/varejo, jogos, saúde e telecom.
🕒 Julho 27
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

1001 - 5000 funcionários
Fundada em 2011
☁️ SaaS
🤝 B2B
🤖 Inteligência Artificial
💰 $1.200.000 Secondary Market - Redis em 2021-12
SaaS • B2B • Artificial Intelligence
Redis é uma plataforma de dados na memória e repositório de dados open-source que oferece serviços de cache, streaming, busca e dados em tempo real com baixa latência. Oferece tanto o Redis Cloud (uma solução SaaS gerenciada) quanto o software open-source Redis para implantações on-premises/híbridas, além de um conjunto de ferramentas e extensões—Redis Iris (contexto em tempo real para agentes de IA), Redis Context Retriever, LangCache, Redis Flex (armazenamento em camadas RAM+flash), replicação multi-região Ativo-Ativo, Redis Insight UI e SDKs de cliente. O Redis é utilizado para cargas de trabalho essenciais como cache, gerenciamento de sessões, mensagens/streams em tempo real, armazenamento de recursos, busca vetorial e busca semântica para RAG/IA, detecção de fraudes e tomada de decisão em tempo real, visando desenvolvedores e clientes corporativos em setores como serviços financeiros, e-commerce/varejo, jogos, saúde e telecom.
• Own product strategy and execution for Redis Cloud capabilities that serve enterprise customers, digital-native companies, and AI-native applications. • Define detailed product requirements in close partnership with engineering and key stakeholders, and manage the lifecycle of one or more product areas end to end. • Work directly with customers and internal stakeholders to understand pain points, validate priorities, and turn feedback into roadmap decisions. • Partner closely with sales, solutions, marketing, enablement, and customer success to support successful launches, adoption, and business alignment. • Collaborate across distributed teams and global stakeholders to prioritize work, communicate trade-offs, and drive high-quality execution. • Act as a product evangelist internally and externally, helping teams tell a clear story about customer value, product direction, and use cases. • Bring strong technical judgment to conversations spanning cloud infrastructure, modern application architectures, data platforms, and AI workloads.
• Experience in product management for cloud platforms, data infrastructure, databases, developer platforms, or AI-related products. • Strong technical depth in storage, networking, and modern software development processes, including Agile development practices and the effective use of AI tools to accelerate discovery, specification, iteration, and execution. • Adaptability to the changing role of product management in an AI-enabled SDLC, including faster feedback loops, AI-assisted engineering workflows, and evolving cross-functional ways of working, with the ability to understand architecture trade-offs and translate them into product requirements. • Solid understanding of cloud platform ecosystems across AWS, GCP, and Azure, including core infrastructure services, marketplace and procurement models, APIs, identity and access patterns, observability, and partner integrations. • Familiarity with the lifecycle of cloud products and services, including provisioning, upgrades, maintenance windows, reliability, operational readiness, supportability, and end-of-life considerations. • Strong product sense for enterprise and digital-native customers, with the ability to turn ambiguous customer, field, and market input into crisp requirements, prioritization decisions, and measurable outcomes. • Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience.
• Extended health coverage through Manulife, including prescription drug coverage and supplemental health benefits. • Dental coverage, including basic services and major restorative support. • Life and accidental death and dismemberment coverage, along with dependent life coverage. • Short-term and long-term disability insurance. • Virtual healthcare access and an employee and family assistance program.
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