Forward Deployed AI Lead

🕒 July 28

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Climb

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Own the success of AI transformation engagements from discovery through executive handoff, aligning customer outcomes, technical direction, delivery execution, scope, and long-term partnership into a single engagement plan. • Run structured discovery across engineering, product, and business stakeholders to map context, AI readiness, and where AI changes the economics. • Design target architectures and AI operating models that define how the organization adopts, governs, and scales AI in production. • Define the enterprise AI strategy and operating model that guide architectural decisions, delivery priorities, governance, and long-term AI adoption. • Set strategic and technical direction across architecture, data readiness, AI adoption, governance, and delivery priorities. • Provide hands-on technical leadership when critical architectural or delivery challenges require it. • Build executive relationships that position Climb as a long-term AI partner, not a one-time vendor. • Shape follow-on scope throughout delivery; by handoff, you have a credible hypothesis for the next engagement and can present it. • Surface expansion signals across lines of business and route them to the account team. • Improve delivery frameworks based on engagement experience. • Mentor Architects and FDEs on architecture, executive engagement, and the architect-engineer delivery model.

🎯 Requirements

• 10+ years of software development or technical architecture experience across varied stacks, including cloud environments. • 3+ years in engineering leadership, technical consulting, solutions architecture, or a combination. • Hands-on familiarity with modern AI engineering workflows, development and agentic tooling (e.g., Claude Code or equivalent), enough to set technical direction and direct an engineer's work credibly. • Experience designing or advising on AI operating models, technology adoption strategies, or transformation programs. • Demonstrated ability to engage across lines of business: you can talk CI/CD with a VP of Engineering and operational efficiency with a COO in the same week. • Strong executive communication: writing and presenting to CTOs, VPs of Engineering, and line-of-business leaders. • Demonstrated ownership of enterprise consulting engagements, including executive stakeholders, scope, delivery quality, and commercial outcomes.

🏖️ Benefits

• 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