Engagement Manager

📋 Description Be the trusted counterpart to client sponsors from working teams to managing directors and C-suite Understand the client's business, org, and politics to anticipate needs and identify stakeholders Navigate regulated-enterprise complexity (model risk management, information security review, data Protect the relationship through delivery problems, bringing bad news early with a plan Own engagements end to end, structuring SOWs with clear scope, milestones, dependencies, acceptance Run the engagement: cadence, staffing, risk and dependency management, decision logs, client 🎯 Requirements 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 and can speak to Executive presence and relationship depth: run steering committees, managed MD-level sponsors Technical fluency: can read architecture diagrams, understand how LLM-based systems are built and Based in the New York metro area and able to be onsite with clients several days per week 🎁 Benefits Work at the frontier of AI, helping world's leading AI labs improve advanced models by building 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 from leading AI labs to solve 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