Recent Technical Program Manager Interview Questions

Ekta M. - "I would start with some clarifying questions like: Is there a deadline when all these needs to be updated by? Do we have upgrade scripts ready? When do we have change freeze? Once I have these few clarifying answers I would start planning: I would meet with all the teams involved in the upgrades Document any resources downtime during the upgrade create a risk registry along with mitigation plan Roll back plan create a phased rollout plan based on deadline Post upgrade get a"See full answer

Anchal V. - "understand the top priorities and rank each feature based on value and effort criteria. Scope: emphasize on clarity and risk assessment of the features. In tough deadlines what is must within the feature. highlight the tradeoff early based on the above two"See full answer

Mark G. - "Situation: At my previous company, we had more than 200 different data sources across 15 business units. These included CRM systems, marketing platforms, HR databases, and even third-party data feeds. The problem was that each team was managing data in its own way. This created inconsistent privacy controls, data quality issues, and compliance gaps, all of which were becoming urgent ahead of a major regulatory audit. Task: I was given the responsibility of implementing a unified data governance"See full answer

Bajrangi C. - "As a Technical Program Manager at Amazon, I typically coordinate cross-functional teams to drive technical project execution, ensuring timelines and deliverables align with business goals. My day involves managing stakeholders, resolving blockers, and continuously optimizing processes for scale."See full answer

Beth S. - "The DNS server of the site URL can identify the source of the traffic via GeoIP and redirect it to the Amazon services closest to that location. The load balancer, installed before the web server, can manage the load and redirect traffic to redundant services."See full answer

Ilakiya R. - " Design & Architecture Overview: The system was a scalable, cloud-based web application built to manage customer data and automate service requests. Frontend: React.js: Chosen for its component-based architecture, reusable UI, and fast rendering using Virtual DOM. Backend: Node.js with Express.js: Selected for non-blocking I/O, scalability, and rapid API development. Database: MongoDB: Used for its flexible schema, scalability, and ease of handling unstructured data. Authentication: JWT"See full answer

Simran S. - "I recently led the development and implementation of a data analytics platform tailored for credit unions and mortgage companies, which was suffering from fragmented systems, inconsistent data fields across LOS platforms, and outdated reporting practices. Here's how I managed the full lifecycle: ✅ Initiation / Discovery Conducted executive interviews across five financial institutions to understand reporting and visibility gaps. Shadowed loan officers and underwriters"See full answer