AI Engagement Manager

Key Responsibilities

Own Strategic Customer Relationships

• Serve as the primary point of contact for a portfolio of flagship AI lab and model-builder accounts
• Build multi-threaded relationships across researchers, PMs/TPMs, vendor ops, and procurement
• Map complex org structures, identify champions, and uncover expansion opportunities
• Act as a trusted advisor who deeply understands each customer's technical goals and roadmap

Solution Design, Scoping & Commercial Strategy

• Partner with Product, Delivery, and Engineering to design solutions for Agentic AI, data labeling, evaluation, RLHF, red-teaming, and emerging workflows
• Ensure strong requirements gathering, alignment on success metrics, and clear translation into operational workflows
• Maintain standards for scoping, SLAs, quotes, and margins
• Translate research-driven technical requirements into clear, implementable workflows with Delivery and Product

Account Health, Renewals & Expansion

• Maintain living account plans outlining use cases, risks, and growth opportunities
• Drive renewal processes across timing, stakeholder alignment, and messaging
• Build early-warning systems for churn and coordinate cross-functional mitigation plans
• Track core account metrics: retention, expansion, account health, and NPS/CSAT

Cross-Functional Collaboration

• Partner with Sales on new-logo vs. expansion ownership and seamless handoffs
• Work closely with Delivery to show up as a unified team to customers
• Collaborate with Product/R&D to bring structured customer insights into roadmap planning

Qualifications

• 4+ years in customer-facing roles with technical buyers (Engagement Management, Strategic Accounts, Customer Success, or product-minded ML/data roles)
• Experience managing complex, multi-stakeholder accounts (AI labs, model builders, or R&D-heavy orgs preferred)
• Working knowledge of ML/data workflows (data labeling, evaluation, RLHF, red-teaming, or adjacent)
• Demonstrated ability to lead solution design and scoping with Delivery/Ops
• Experience owning or co-owning renewals, expansions, and commercial outcomes
• Ability to navigate procurement and vendor ops in enterprise settings
• Excellent communication across researchers, PMs, executives, and procurement
• High ownership, decisiveness, and comfort in rapidly changing environments

Nice to Have

• STEM background or strong technical fluency (CS, Engineering, Stats, ML, Economics)
• Experience at an AI data provider, ML infra platform, or developer tools company
• Existing relationships within the AI/ML ecosystem
• Experience working in R&D-driven organizations