Jobs · Consulting · Massachusetts

Sr Manager Forward Deployed Engineering, AWS Forward Deployed Engineering

Amazon Web Services (AWS) · Boston, MA · Yesterday
ConsultingFull-time

About the role

Senior Forward Deployed Engineering Managers (Senior FDE Managers) lead multiple pods of FDEs across several strategic enterprise customers, defining the delivery model, engineering standards, and talent strategy for the FDE practice at scale. They own organizational-level outcomes — setting the technical direction across multiple concurrent customer programs, building and scaling the FDE team, and driving mechanisms that ensure consistent engineering excellence and measurable business impact across the entire portfolio. Senior FDE Managers operate at org-level scope, leading 15–30+ engineers, influencing technical decisions across multiple customer engagements and AWS teams simultaneously, and defining what "great" looks like for forward-deployed AI engineering management. They represent the FDE practice to AWS senior leadership and customer C-suite executives, balancing strategic vision with operational execution.

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 30–50% 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

Basic Qualifications

  • 10+ years of engineering experience
  • Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
  • 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)

Preferred Qualifications

  • 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
  • 6+ years of senior leadership development and talent management experience

Pay

  • USA, CA, Mountain View: $253,100 – $342,300 annually
  • USA, CA, San Francisco: $253,100 – $342,300 annually
  • USA, MA, Boston: $220,100 – $297,700 annually
  • USA, NY, New York: $242,100 – $327,500 annually
  • USA, VA, Arlington: $220,100 – $297,700 annually
  • USA, VA, Herndon: $220,100 – $297,700 annually
  • USA, WA, Bellevue: $220,100 – $297,700 annually
  • USA, WA, Seattle: $220,100 – $297,700 annually

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.

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