Senior Manager, Forward Deployed Engineering, AWS Forward Deployed Engineering, US Government

About the role

A Senior Forward Deployed Engineering Manager (Senior FDE Manager) leads multiple pods of FDEs across several strategic enterprise customers, defining the delivery model, engineering standards, and talent strategy for the FDE practice at scale.

Responsibilities

• Lead the FDE delivery organization. Own delivery across multiple customer engagements and FDE pods.
• Staff and structure teams for optimal customer coverage.
• Define engagement models, staffing strategies, and delivery cadences.
• Ensure consistent engineering quality across all active programs.
• Requires up to 25% travel.
• Define technical strategy and standards. Set the technical direction for the most complex customer AI programs spanning your organization.
• Align technical strategy with adjacent AWS teams.
• Be a key influencer for strategic decisions, bringing technology and industry context to business decisions.
• Resolve escalations and drive closure with peers, Directors, and stakeholders.
• Own production excellence at organizational scale.
• Define operational standards, evaluation frameworks, and production readiness criteria for AI systems across your organization.
• Establish mechanisms that ensure AI systems remain healthy across all active engagements.
• Drive improvements that enable the organization to insist on the highest operational excellence standards.
• Build and scale the team. Hire, develop, and retain FDE talent across levels.
• Coach and develop FDE Managers.
• Drive performance management, succession planning, and organizational health.
• Create the talent pipeline for the FDE practice.
• Define hiring bar and calibration standards.
• Accelerate transformation at portfolio level.
• Identify systemic opportunities to expand AI adoption across multiple customer organizations.
• Create accelerators and reusable platforms that reduce time-to-value.
• Influence AWS product roadmaps based on patterns observed across customers.
• Feed learnings back into AWS at the organizational level.

Requirements

• 10+ years of engineering experience
• Current, active US Government Security Clearance of TS/SCI with Polygraph
• 5+ years of engineering management experience, including managing managers or large engineering teams (15+)
• 8+ years of experience leading the design and architecture of large-scale production systems
• Experience defining technical strategy and delivery standards while managing teams across multiple concurrent programs or customer engagements
• Experience communicating technical and organizational strategy to executive audiences (VP/C-suite level)

Qualifications

• 6+ years of senior leadership development and talent management experience
• Experience building and scaling engineering organizations focused on AI/ML production systems
• Experience with enterprise-scale agentic workflows, multi-agent orchestration, or AI system governance
• Experience creating delivery models or engineering mechanisms adopted across an organization
• Experience influencing product roadmaps through customer engagement patterns
• Experience building engineering talent pipelines and driving organizational hiring strategy
• Experience representing engineering organizations to executive leadership (VP/C-suite level)

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.

• USA, CO, Denver - 220,100.00 - 297,700.00 USD annually
• USA, NY, New York - 242,100.00 - 327,500.00 USD annually
• USA, VA, Arlington - 220,100.00 - 297,700.00 USD annually
• USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually

Schedule

Full-time.