Describe how you treat a difficult stakeholder
Technical Manager Interviews
Technical Manager Interview Questions
"When hiring a technical manager, an employer will look for candidates with the management skills and industry knowledge to oversee company projects that require members to have large amounts of technical knowledge, usually in the form of programming and software development. Some of the interview questions you may be asked will target your management experience and philosophy while others will focus on your understanding of the technical processes you will be working with in the project."
Top Technical Manager Interview Questions & How To Answer
Question #1: Have you ever dealt with staff members who were resistant to new technology or technological processes? How did you handle the situation?
Question #2: Describe your process for researching and implementing new technology.
Question #3: How did the last company you worked for benefit from your technical expertise?
10,274 technical manager interview questions shared by candidates
What projects have you worked on in the past? Why have you chosen to work as a PM?
How to motivate team members
What makes you the best candidate for this position?
Asked what I knew about the role and company. We didn't really even talk about my background or experience, just that she felt that based on my resume I was a great fit.
What do you think makes a good manager?
Standard Questions Abt Project Management, Leadership, System Design, Scrum, Agile, ECommerce
About your experience and the work you are expected to perform at GAT.
Just asked about current job and some situation based questions and how I deal with it as Product manager?
The goal is to train and develop a machine learning model to predict the likelihood of a user converting to a paying customer, excluding those who request a refund. The model will generate user-level predictions as soon as a user starts the trial. Voyantis trains its models using historical data from matured users and applies them to new users The Scenario: A customer operates a subscription-based streaming service (similar to Spotify) and wants to predict the likelihood of users converting to a paid subscription at the end of their 7-day free trial. Users may claim a refund if they have been charged and forgot to cancel their trial. There are two main user flows in our customer’s product: 1. Web-to-App Flow: ● Users begin their free trial by entering credit card information on the web. ● They then download the app and use it. ● If they do not cancel within 7 days, they are automatically charged. Historical data available for model creation: ● User demographic ● App engagement ● Payment data ● Refund data is missing (customer estimates a 20% refund rate). 2. App Flow: ● Users begin their trial by downloading the app directly and start using it. ● If they do not cancel, they are charged via the app store (iOS or Android) on the 7th day. Historical data for model creation: ● User demographic ● App engagement ● Payment data is available for iOS users only (they make up 85% of app users). ● No payment data is available for Android users. ● Refund data is available. Please provide a structured response addressing the following questions: A. Model Objective & Approach 1. What is the prediction period you would choose (how many days forward to predict from trial start) 2. What metrics should support your decision? 3. Would you build a one unified model for both flows, or separate models for Web-to-App and App Flow? What metrics should support your decision? B. Handling Data Limitations 4. How would you account for the missing refund data in the Web-to-App flow in your model training? 5. How would you handle the missing payment data for Android users in the App Flow? 6. What assumptions or adjustments would you make to compensate for these missing values? 3. Data Enhancement & Additional Features 7. What additional data could help improve the accuracy of the model? 4. Data Analysis
Viewing 7331 - 7340 interview questions