AI Deployment Lead

Summary

Elevate is an AI operating system for acquisitions, seeking high-autonomy, analytical AI Deployment Leads to manage customer deployments of their AI-powered solutions. The role involves owning the full lifecycle of deployments, translating business complexities into structured AI systems while collaborating with customers and internal teams.

Responsibilities

• Own customer deployments end-to-end — scoping, business logic translation, data ingestion, pipeline delivery, and ongoing optimization — working directly with mid-market to large-cap operators
• Act as the primary point of contact for customers, working directly with operators, finance teams, and executives to drive timelines, unblock work, and ensure deployments are delivered quickly and effectively
• Translate ambiguous business problems into structured data models, workflows, and agentic systems
• Build and extend our agentic AI platform, improving Elevate’s core platform based on real customer needs in direct collaboration with our engineering team
• Support go-to-market by joining sales calls and identifying customer expansion opportunities

Skills

• 2+ years experience in consulting or finance, with a desire to grow your technical chops
• Highly analytical, with experience working with messy data (SQL, Excel, or similar tools)
• Strong communication with business intuition - you're comfortable working with executives and operators
• Scrappy, autonomous, and action-oriented
• Hungry to build
• Have hands-on experience building with AI tools and LLM APIs, even for personal use
• SQL and Python proficiency or a strong desire to get there quickly
• Experience with data pipelines, system integrations, or internal tooling
• Exposure to private equity, roll-ups, or M&A

Qualifications

Must Haves

• 2+ years experience in consulting or finance, with a desire to grow your technical chops
• Highly analytical, with experience working with messy data (SQL, Excel, or similar tools)
• Strong communication with business intuition - you're comfortable working with executives and operators
• Scrappy, autonomous, and action-oriented
• Hungry to build

Nice to Haves

• Have hands-on experience building with AI tools and LLM APIs, even for personal use
• SQL and Python proficiency or a strong desire to get there quickly
• Experience with data pipelines, system integrations, or internal tooling
• Exposure to private equity, roll-ups, or M&A

Benefits

• Competitive cash compensation
• Meaningful equity in an early-stage, high-growth company