
2 - 10 employees
Founded 2026
đŒ Consulting
đą Enterprise
âïž SaaS
Consulting âą Enterprise âą 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 Basecampsâguided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeksâplus 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.
đ„ 54 minutes ago
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2 - 10 employees
Founded 2026
đŒ Consulting
đą Enterprise
âïž SaaS
Consulting âą Enterprise âą 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 Basecampsâguided, time-boxed projects that move AI or data modernization priorities from diagnostic to production in weeksâplus 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.
âą Lead blueprint engagements: current-state assessment, gap analysis, and a prioritized, sequenced initiative roadmap. âą Run executive discovery with C-Suite leadership and Boards to surface strategic goals, constraints, and success criteria. âą Quantify the value: size the business problem, model TCO and ROI, and define the pilot, MVP, success criteria, and timeline. âą Build board-ready transformation cases that connect AI investment to value-creation metrics: revenue per head, time-to-outcome, margin, and delivery predictability. âą Facilitate executive alignment workshops that move stakeholders from awareness to decision. âą Provide executive oversight across transformation programs, guiding AI Leads through strategic decisions, cross-workstream alignment, and evolving business priorities. âą Serve as the executive advisor and escalation point through delivery close; act as the escalation point that unblocks technical and political issues. âą Shape follow-on scope throughout delivery; by handoff you have a working hypothesis for the execution program and present it at readout. âą Surface expansion signals across the client organization and route them to the account team. âą Own and continuously evolve Climb's AI transformation methodology, including blueprint frameworks, value models, executive workshops, and delivery playbooks. âą Mentor AI Leads on executive engagement, transformation strategy, value creation, and consultative leadership.
âą 12+ years across software, technical consulting, or technology strategy, with demonstrable depth on both the engineering and product sides of a software organization. âą 5+ years leading transformation, strategy, or technical advisory engagements with engineering and product organizations. âą Proven track record building and presenting technology transformation roadmaps to C-level and board audiences. âą Demonstrated experience in value-based scoping (TCO/ROI), authoring requirements documents, and managing delivery to measurable outcomes. âą Experience sizing and sequencing multi-team, multi-quarter transformation programs. âą Hands-on familiarity with AI-assisted development and agentic tooling: you don't configure it daily, but you speak the language credibly and know what is and isn't real. âą Professional services delivery experience with scope ownership and deliverable accountability.
âą Competitive base salary with performance-based bonuses âą MacBook Pro and swag kit so you can do your best work âą Comprehensive health, dental, and vision insurance âą Generous holidays, flexible PTO, and remote-first work environment âą Professional development budget including Databricks and cloud certifications âą Spot bonuses for relevant certifications âą Conference attendance and thought leadership opportunities âą Collaborative, low-ego culture with direct access to leadership âą Opportunity to shape a growing practice from the ground floor
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