Sr Manager Forward Deployed Engineering, AWS Forward Deployed Engineering

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. Senior FDE Managers own organizational-level outcomes — they set the technical direction across multiple concurrent customer programs, build and scale the FDE team, and drive the mechanisms that ensure consistent engineering excellence and measurable business impact across the entire portfolio.

Senior FDE Managers operate at org-level scope. They lead 15–30+ engineers, influence technical decisions across multiple customer engagements and AWS teams simultaneously, and define 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.

Key job 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.

About the team
ABOUT AWS:
 
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
 
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. 

Inclusive Team Culture
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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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, Mountain View - 253,100.00 - 342,300.00 USD annually
USA, CA, San Francisco - 253,100.00 - 342,300.00 USD annually
USA, MA, Boston - 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, VA, Herndon - 220,100.00 - 297,700.00 USD annually
USA, WA, Bellevue - 220,100.00 - 297,700.00 USD annually
USA, WA, Seattle - 220,100.00 - 297,700.00 USD annually