Sr. Technical Program Manager, Amazon Customer Service
Listed on 2026-02-16
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IT/Tech
Technical Support, Cloud Computing
The Data Intelligence team is a new function within Amazon Customer Service. We own the end-to-end process of defining, building, implementing, and maintaining foundational data & AI infrastructure and applications that enable secure, observable, and high-quality customer service experiences team builds AI Agent systems and privacy-by-default architectures to transform customer service experiences.
As a Sr. Technical Program Manager (TPM), you will accelerate the evolution of data capabilities as a strategic asset within Amazon Customer Service globally, translating complex business requirements and customer needs into scalable technology solutions across organizations. Leading high-impact technology programs, you'll collaborate with cross-functional teams (e.g., engineering, scientists, product management) to define technical architecture, align system priorities, and design solutions that deliver measurable business value while combining strategic vision with hands‑on technical acumen.
Operating with significant autonomy, you'll solve complex data engineering challenges with efficient solutions that optimize operations and system quality, working across product, engineering, and business teams to drive architectural decisions.
The ideal candidate brings strong business judgment, architectural design expertise, excellent documentation skills, and deep experience with the modern data stack and distributed systems. You care deeply about customers and work well in a fast‑paced setting, handling many projects at once and using your skills to create effective solutions. You can think big picture while still getting hands‑on with the work, helping you solve complex problems and staying focused on making things better for customers.
Keyjob responsibilities Technical Program Strategy and Delivery
- Drive critical cross‑functional infrastructure builds with broad organizational impact and clear customer benefit.
- Define comprehensive technical requirements that address significantly complex problems while delivering long‑term solutions for our customers.
- Operate with high autonomy in managing technical programs that have substantial business, engineering, and customer experience implications.
- Build and maintain strong relationships across organizational boundaries, consistently advocating for customer needs in technical decisions and representing complex trade‑offs clearly to senior leadership.
- Transform ambiguous business and customer needs into actionable technical requirements through effective stakeholder engagement.
- Foster an inclusive culture where diverse perspectives are heard and customer‑focused solutions are prioritized.
- Lead the development of technical requirements that resolve significant cross‑organizational challenges while maintaining focus on customer experience.
- Negotiate priorities across competing demands, using customer insights and data to inform decisions. Manage complex dependencies and risks across multiple areas.
- Deliver noteworthy contributions recognized both inside and outside the organization, particularly in improving customer experience and data infrastructure build quality.
- Probe assumptions and illuminate potential pitfalls during technical planning and requirements definition, always considering customer implications.
- Align teams toward coherent infrastructure build strategies while fostering an environment of continuous improvement.
Come join a team of bright, passionate, and customer‑obsessed individuals who are having fun and making an impact. We'd love to talk to you!
A day in the lifeA typical day for a Sr. Technical Program Manager on the team involves balancing strategic thinking with hands‑on problem‑solving. They solve real‑world problems by driving important and complex data initiatives while ensuring alignment with customer needs and business objectives. They dedicate time to translating complex business requirements into practical technological solutions, often addressing challenging data engineering problems.
A significant aspect of their role involves developing…
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