AI Engagement Manager

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Own the full AI engagement arc, from discovery through sustained workflow adoption, serving as the external partner's single point of contact across every phase.
• 2
  Drive requirements and delivery precision, shaping engagement structure and aligning on objectives with partners.
• 3
  Surface risks early and keep stakeholders ahead of problems, not behind them, and champion continuous quality in AI engagements.
• 4
  Build playbooks and identify reusable patterns across engagements to turn them into scalable delivery frameworks.
• 5
  Hold the R&D feedback loop, ensuring field learnings flow back to R&D and that R&D delivers on agreed roadmap commitments.
• 6
  Own engagement economics, tracking the full cost structure of every active engagement and maintaining a running view of cost-to-deliver across the portfolio.

RequirementsAI-extracted

• 8+ years in technical project management, enterprise engagement management, or a related field, with a track record of delivering complex, multi-stakeholder technical programs.
• Demonstrated experience managing programs across the full software development lifecycle, including the ability to identify and manage risk, develop detailed work plans, and allocate resources across concurrent workstreams.
• Technical fluency sufficient to hold credible conversations with partner engineering teams and understand AI/ML implementations and integration dependencies.
• Experience building and maintaining engagement cost models, tracking resource utilization, time allocation, and cost inputs across concurrent programs.
• Exceptional communication, organizational, and time management skills, paired with a sharp attention to both details and overarching project objectives.

Perks & BenefitsAI-extracted