
2 - 10 employees
Founded 2026
💼 Consulting
🏢 Enterprise
☁️ SaaS
Consulting • Enterprise • SaaS
Climb is the Databricks-native Data & AI consultancy that builds production-grade enterprise AI by focusing on the data foundation, outcome-aligned fixed-scope engagements, and senior delivery teams. They offer Databricks Basecamps—guided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeks—plus solutions, fixed-price projects, and dedicated teams. Climb emphasizes Databricks engineering, governance (Unity Catalog), migrations, AI/ML, next-gen analytics, and agent deployments, with reusable IP (Climb AI Runtime), senior Databricks-certified staff, and measurable KPIs for each engagement.
🔥 3 hours ago
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2 - 10 employees
Founded 2026
💼 Consulting
🏢 Enterprise
☁️ SaaS
Consulting • Enterprise • SaaS
Climb is the Databricks-native Data & AI consultancy that builds production-grade enterprise AI by focusing on the data foundation, outcome-aligned fixed-scope engagements, and senior delivery teams. They offer Databricks Basecamps—guided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeks—plus solutions, fixed-price projects, and dedicated teams. Climb emphasizes Databricks engineering, governance (Unity Catalog), migrations, AI/ML, next-gen analytics, and agent deployments, with reusable IP (Climb AI Runtime), senior Databricks-certified staff, and measurable KPIs for each engagement.
• Own the end-to-end system architecture on your engagement: platform architecture, data and AI design, integration patterns, observability, security, and operational readiness. • Take engagement objectives and turn it into a coherent target architecture and an implementation plan the engineering team can execute against. • Make the platform and pattern decisions, model selection, agent and pipeline architecture, data flow, security, and cost, and stand behind them. • Guide and review the engineering team's implementation, ensuring individual workstreams integrate into a coherent production system. • Stay hands-on: write code on the critical path and prove out the hard parts of the architecture yourself. • Partner with the Forward Deployed AI Lead to align architecture with business priorities, engagement scope, and delivery sequencing. • Deliver architecture documentation, implementation guidance, and production-ready systems that customers can confidently operate after handoff. • Contribute reference architectures, patterns, and accelerators back to the practice.
• 8+ years of software engineering or technical architecture experience, including production systems in cloud environments (AWS, Azure, or GCP). • Proven experience serving as the technical design authority for production systems delivered to customers. • Hands-on depth across one or more of: LLM application and agent development, production data engineering, or backend systems at scale. • Demonstrated ability to guide multiple engineers while maintaining architectural consistency across the system. • Still codes: comfortable working on the critical path and proving out the hard parts yourself. • Strong communicator: technically precise with engineers, clear and confident with VP- and C-level leadership. • High tolerance for ambiguity; can turn a loosely scoped problem into a build the team can execute.
• 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
Apply Now🔥 3 hours ago
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