Job description

Job Description 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 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.

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.

Hub Lead

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