Qualifications & Experience

• 8–12+ years in operations, program leadership, or delivery roles, with progressive responsibility leading AI, ML, or data-intensive programs in recent years
  

• Significant experience running AI development or AI operations programs that leverage crowd, freelance, or distributed workforce models
  

• Demonstrated success operating in hyper-agile environments with evolving requirements
  

• Experience leading distributed, multicultural teams
  

• Proven ability to translate ambiguity into scalable delivery systems
  

• Strong analytical orientation with comfort using metrics to guide decisions
  

• Executive-level communication and client-facing judgment
  

Generative AI Delivery Leadership

• Own delivery across multiple GenAI and advanced ML workflows, including pilots, scaled programs, and experimental work
  

• Lead AI Ops programs that leverage distributed, crowd-based, or hybrid workforce models
  

• Translate client objectives into executable operating models, staffing strategies, and metrics
  

Pilot Design and Scale-Up Strategy

• Lead Hugo’s pilots' operating model, including intake, scoping, staffing, execution, and ROI
  

• Design fast, low-risk pilots that validate quality, rater profiles, tooling fit, and workflow complexity
  

• Operate comfortably in hyper-agile environments where guidelines, evaluation criteria, and tooling evolve in parallel with delivery
  

Workforce and Capability Strategy

• Design and operate flexible AI workforce models spanning on-payroll teams, crowd contributors, and specialized talent pools
  

• Oversee certification pathways, performance calibration, and specialization tracks
  

• Partner with training and quality teams to evolve skill standards as AI task complexity increases
  

Client Partnership and Value Creation

• Act as a senior delivery and ops counterpart to client PjMs, product leaders, and research teams
  

• Lead structured client conversations on delivery performance, system design tradeoffs, and roadmap planning
  

• Proactively surface insights on workflow optimization, capability expansion, and operational levers
  

Metrics, Systems, and Operational Rigor

• Define and own performance dashboards across quality, efficiency, workforce health, and finances
  

• Build operational systems and feedback loops that scale beyond individual programs or clients
  

• Establish SOPs, escalation paths, and governance frameworks suited to fast-moving AI work
  

Leadership and Org Development

• Lead and develop senior portfolio managers, project managers, and cross-functional partners
  

• Shape org design and capability investments as Hugo scales its AI operations footprint
  

• Serve as a culture carrier for execution excellence, clarity, and accountability