Engagement Manager

📋 Description

• Own engagements end to end from signed SOW through production deployment, adoption, and renewal
• Be the trusted counterpart to client sponsors from working teams to managing directors and C-suite
• Navigate regulated-enterprise complexity: model risk management, information security review, data
• Own the engagement P&L against margin targets; manage staffing mix, utilization, change orders
• Identify and shape expansion: new use cases, adjacent business units, follow-on SOWs, renewals
• Lead AI Engagement Leads, Forward Deployed Engineers, and delivery staff; set direction, unblock

🎯 Requirements

• Collaborative Engagement Manager with sound leadership instincts and team player qualities
• 8+ years in client-facing delivery or consulting with at least 3 years leading engagements or
• Track record of owning engagement or account financials: margin, forecasting, staffing, change
• Led at least one AI, ML, or data-platform program into production at an enterprise
• Executive presence and relationship depth: have run steering committees, managed MD-level sponsors
• Technical fluency to read architecture diagrams, understand how LLM-based systems are built and

🎁 Benefits

• Work at the frontier of AI, helping leading AI labs improve their models by building expert
• Contribute to leading-edge AI research and showcase work at top conferences such as ICLR, ICML, and
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta
• Move at the pace of AI innovation with the speed, ownership, and impact of a startup