
2 - 10 funcionários
Fundada em 2026
💼 Consultoria
🏢 Corporativo
☁️ SaaS
Consulting • Enterprise • SaaS
A Climb é uma consultoria de Dados e IA nativa do Databricks que constrói IA empresarial de nível de produção, focando na base de dados, engajamentos de escopo fixo alinhados a resultados, e equipes seniores de entrega. Eles oferecem Basecamps Databricks — projetos guiados e com tempo limitado que levam prioridades de modernização de IA ou dados do diagnóstico à produção em semanas — além de soluções, projetos com preço fixo e equipes dedicadas. A Climb enfatiza engenharia em Databricks, governança (Unity Catalog), migrações, IA/ML, análises da próxima geração e implantações de agentes, com IP reutilizável (Climb AI Runtime), equipe sênior certificada em Databricks, e KPIs mensuráveis para cada engajamento.
🕒 3 dias atrás
🗣️🇺🇸🇬🇧 Inglês obrigatório
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2 - 10 funcionários
Fundada em 2026
💼 Consultoria
🏢 Corporativo
☁️ SaaS
Consulting • Enterprise • SaaS
A Climb é uma consultoria de Dados e IA nativa do Databricks que constrói IA empresarial de nível de produção, focando na base de dados, engajamentos de escopo fixo alinhados a resultados, e equipes seniores de entrega. Eles oferecem Basecamps Databricks — projetos guiados e com tempo limitado que levam prioridades de modernização de IA ou dados do diagnóstico à produção em semanas — além de soluções, projetos com preço fixo e equipes dedicadas. A Climb enfatiza engenharia em Databricks, governança (Unity Catalog), migrações, IA/ML, análises da próxima geração e implantações de agentes, com IP reutilizável (Climb AI Runtime), equipe sênior certificada em Databricks, e KPIs mensuráveis para cada engajamento.
• Own the workstreams and components you are responsible for, from design through production, inside the client's environment. • Participate in discovery, architecture reviews, and stakeholder interviews on your area of the engagement; turn vague problems into scoped, deliverable work. • Make the build and design decisions appropriate to the client's environment and constraints on the work you own, and stand behind them. • Build the system: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load. • Manage scope actively on your workstreams: surface risk and creep before it becomes a problem, not after. • Transfer capability that lasts: documented, runnable, maintainable software that works after you leave. • Build trusted relationships with client stakeholders while supporting the Architect or AI Lead in overall account ownership. • Contribute reusable patterns and lessons learned that improve future delivery.
• 5+ years of engineering or technical delivery experience, with meaningful time in embedded or client-facing contexts. • Proven delivery ownership: clear evidence you've taken client-facing work from scoping through production with limited supervision. • Hands-on depth in one or more of: LLM application development, cloud-native architecture (AWS, Azure, or GCP), backend systems at scale, or production data engineering. • Demonstrated ability to make independent technical decisions and own your own delivery quality inside a client environment. • Strong communicator: technically precise with engineers, clear and confident with VP- and C-level leadership, and able to adjust depth without losing accuracy. • High tolerance for ambiguity; consistently delivers value before every requirement is defined.
• Competitive base salary with performance-based bonuses • MacBook Pro and swag kit so you can do your best work • Comprehensive health, dental, and vision insurance • Generous holidays, flexible PTO, and remote-first work environment • Professional development budget including Databricks and cloud certifications • Spot bonuses for relevant certifications • Conference attendance and thought leadership opportunities • Collaborative, low-ego culture with direct access to leadership • Opportunity to shape a growing practice from the ground floor
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