climb-ai - Engagement Lead
Requirements
• 7+ years in professional services, including 3+ years leading consulting engagements with commercial accountability: budget, margin, or change-order ownership. • Track record managing engagement budgets of $500K+ with healthy margins and referenceable clients. • Working fluency in data and AI delivery: you can follow an architecture discussion, pressure-test an estimate, and translate technical risk into business terms. • Experience managing executive stakeholders through ambiguity, escalation, and change. • Demonstrated scope control: change orders written, margins protected, and expectations reset without breaking trust. • Daily use of AI tooling in your own workflow; you expect leverage from your tools and know how to get it. • Experience delivering Databricks or modern data stack programs. • Boutique or high-growth consultancy background: you have run lean engagements without a pyramid beneath you. • Exposure to PE-backed clients and their operating cadence. • Pre-sales or scoping experience: you have helped shape the deals you later delivered. • Note on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire. • You treat every engagement like a business you own, not a project you administer. • You would rather prevent a fire than fight one, and your engagements are calm because of it. • You earn client trust by telling them the truth early. • You want leverage, not headcount: AI tooling makes you faster, not nervous.
Responsibilities
• Own engagement P&L: budget, burn, margin, and invoicing accuracy from kickoff to close. • Run the delivery cadence (planning, risk management, steering committees, and internal health reviews) across one to three concurrent engagements. • Own the day-to-day client relationship; keep executive sponsors confident, informed, and bought in. • Control scope with commercial discipline: manage change orders, protect the margin, and say no gracefully. • Surface expansion signals early, shape follow-on scope with the AI Strategist and account team, and carry a point of view on where the account goes next. • Orchestrate senior pods: sequence the work, remove blockers, and hold the team to the outcome without micromanaging craftspeople. • Run engagements on Climb’s agentic delivery OS (AI-assisted planning, reporting, and delivery telemetry) and feed improvements back into the platform. • Contribute lessons from every engagement into Climb’s methodology and playbooks.
Benefits
• Ground floor, real backing. You are joining early, with founders who have built and exited firms like this before. You help write the playbook rather than inherit one. • Outcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets. • Senior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work. • IP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice. • Proximity to where decisions get made. Your clients are PE portcos and enterprise leadership teams making AI transformation calls right now. • 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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