Hub Lead

This position will lead a geographical hub of Value Forward Deployed Engineers (FDE) and AI-FDEs, keeping every pair deployed, productive and anchored on production value. A smaller version of the Regional Lead, focused primarily on managing resources: coaching, staffing, bench and adoption. Job Responsibilities

• Performance Management: Set clear goals and performance expectations for Value FDEs and AI-FDEs, providing regular coaching, feedback, and development planning.
• Capacity & Resource Planning: Forecast talent needs across the hub and proactively balance customer demand, pod capacity, utilization, and hiring requirements.
• Production Accountability: Track each pod from initial customer use case through production deployment, adoption, and measurable customer value.
• Customer Engagement: Build strong relationships with customer stakeholders to identify deployment risks, remove roadblocks, and ensure pods remain focused on high-value outcomes.
• Operational Excellence: Establish consistent operating rhythms across the hub, including deployment reviews, utilization tracking, performance reviews, and customer-value checkpoints.
• Talent & Succession Planning: Develop future FDE leaders, identify succession opportunities, and maintain a strong internal pipeline as the organization scales.
• Cross-Functional Partnership: Partner closely with Sales, Product, R&D, Delivery, and regional leadership to translate customer needs into product improvements and scalable solutions.
• Knowledge & Reuse: Ensure successful AI use cases, implementation patterns, and customer solutions are captured and reused across pods rather than rebuilt for each engagement.
• Coaching: recruit, onboard, coach and retain the FDEs in your hub; protect the hiring bar.
• Staffing: deploy pairs onto qualified accounts and pods in your geography, within the regional and global capacity plan; manage travel and succession.
• Bench: keep bench time low and put it to use on customer work.
• Adoption: drive production adoption, customer self-sufficiency and reuse of patterns into the shared catalogue.
• Make every pod in the hub run the common loop from idea to production.
• Escalate product gaps to the Regional Lead and R&D; work cleanly with each account's BVDE and PDE.

Job Requirements

• 8+ years leading technical, engineering, AI, data, or customer-facing technology teams within enterprise software, SaaS, or consulting.
• Proven experience deploying AI, data, or software solutions into complex enterprise environments, from concept through production and adoption.
• Strong understanding of AI/ML and GenAI, including enterprise use cases, data requirements, governance, and deployment challenges.
• Demonstrated success hiring, coaching, developing, and managing high-performing technical teams, with a willingness to maintain a high performance bar.
• Experience with resource and capacity planning, including customer staffing, utilization, bench management, succession, and competing priorities.
• Strong customer and executive presence, with experience working across Product, R&D, Sales, Delivery, and senior customer stakeholders.
• Experience in insurance or another complex, regulated industry preferred, with the ability to operate effectively in a fast-paced, global, transformation-oriented environment.
• Experience leading technical or customer-facing engineering teams; credible with both AI-FDEs and Value FDEs.
• Experience deploying AI, data or software into complex enterprise customers.
• Decisive on performance and willing to hold the bar.