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TPM • Enthusiastic builder • Ex-Amazon
Senior Technical Product & Program Manager with ~9 years at Amazon driving software development and enterprise platform initiatives from inception to delivery. Demonstrated expertise in product strategy, systems architecture, cross-functional alignment, and data-driven execution across engineering-heavy organizations. Consistent record of exceeding executive-level adoption targets, compressing delivery timelines, and leading programs across globally distributed teams. Equally strong in owning the product roadmap end-to-end and orchestrating large-scale technical programs with 20+ stakeholder teams.
Bard College
Vocal Performance, Audio Engineering
N/A – Present
Nexxen
Technical Program Manager
June 1, 2026 – Present
Career Break
Professional development
August 1, 2025 – Present
Seattle, Washington, United States
Amazon
Senior Product Manager
February 1, 2024 – August 1, 2025
Seattle, Washington, United States
Career Break
Layoff/position eliminated
June 1, 2023 – February 1, 2024
Seattle, Washington, United States
Amazon Web Services (AWS)
Senior Program Manager
August 1, 2016 – June 1, 2023
Seattle, Washington, United States
Cultural Fit Analysis
The candidate has a diverse professional background, including a non-traditional educational path (Vocal Performance, Audio Engineering) and significant career breaks. Their experience is primarily in management roles within large tech companies. The target role is 'Frontend Developer', which is a significant pivot from their documented experience. This suggests a potential misalignment with the technical demands of a developer role, though their program management background might offer a different perspective on project delivery. The lack of frontend-specific projects or skills in their resume makes it difficult to assess direct cultural fit for a development team.
Soft Skills & Operational Fit
The candidate's background in Program and Product Management suggests strong organizational, leadership, and communication skills. Experience at Amazon and AWS implies familiarity with fast-paced, data-driven environments and large-scale operations. However, specific details on collaboration style or problem-solving approaches are not available.