At Cooper University Health Care, our commitment to providing extraordinary health care begins with our team. Our extraordinary professionals are continuously discovering clinical innovations and enhanced access to the most up-to-date facilities, equipment, technologies, and research protocols. We invest in our employees by providing competitive rates, a comprehensive benefits program, attractive working conditions, and opportunities for professional development. Discover why Cooper University Health Care is the employer of choice in South Jersey.

The Product Manager oversees solutions that advance operational excellence, system optimization, and other organizational initiatives. This role involves creating and executing a product roadmap in partnership with business owners, grooming the product backlog, and setting priorities for product teams. A successful candidate will have an entrepreneurial spirit, creative thinking, and leadership through collaboration, with 5-7 years of relevant experience and a preferred bachelor’s degree.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Cooper University Health Care as a Product Manager. Whether you were contacted by a Cooper recruiter or have taken the initiative yourself, carefully review the job description and tailor your CV according to the prerequisites.

Tailoring your CV may include identifying specific keywords that the hiring manager might use to filter resumes and crafting a targeted cover letter. Furthermore, don’t forget to highlight relevant skills and mention your work experiences.

Recruiter/Hiring Manager Call Screening

If your CV happens to be among the shortlisted few, a recruiter from the Cooper Talent Acquisition Team will make contact and verify key details like your experiences and skill level. Behavioral questions may also be a part of the screening process.

In some cases, the Cooper Product Manager hiring manager stays present during the screening round to answer your queries about the role and the company itself. They may also indulge in surface-level technical and behavioral discussions.

The whole recruiter call should take about 30 minutes.

Technical Virtual Interview

Successfully navigating the recruiter round will present you with an invitation for the technical screening round. Technical screening for the Cooper Product Manager role usually is conducted through virtual means, including video conference and screen sharing. Questions in this 1-hour long interview stage may revolve around Cooper’s health care systems, SDLC, and project management.

In the case of Product Manager roles, take-home assignments regarding system optimization, operational excellence, and backlog management are incorporated. Apart from these, your proficiency against problem-solving, stakeholder engagement, and agile methodologies may also be assessed during the round.

Depending on the seniority of the position, case studies and similar real-scenario problems may also be assigned.

Onsite Interview Rounds

Followed by a second recruiter call outlining the next stage, you’ll be invited to attend the onsite interview loop. Multiple interview rounds, varying with the role, will be conducted during your day at the Cooper office. Your technical prowess, including SDLC and project management capabilities, will be evaluated against the finalized candidates throughout these interviews.

If you were assigned take-home exercises, a presentation round may also await you during the onsite interview for the Product Manager role at Cooper University Health Care.

Quick Tips For Cooper University Health Care Product Manager Interviews

Here are a few tips for acing your Cooper University Health Care interview:

• Know Your Field: Questions are standardized and rely heavily on situational scenarios within healthcare and IT. Study the relevant healthcare IT systems and understand their peculiarities.
• Be Strategic: Cooper’s interviews assess how well you can provide strategic, data-driven solutions with an eye towards operational excellence. Brush up on your knowledge of healthcare workflows and technology.
• Embody the Spirit: Cooper at its core has a collaborative, employee-focused culture that values innovation. Practice responding to behavioral questions with answers that touch on Cooper’s core values.

Typically, interviews at Cooper University Health Care vary by role and team, but commonly Product Manager interviews follow a fairly standardized process across these question topics.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you design a machine learning model to classify major health issues based on health features? As a machine learning engineer for a health insurance company, design a model that classifies whether an individual will undergo major health issues based on a set of health features.

• What metrics and statistical methods would you use to identify dishonest users in a sports app? For a sports app tracking running, jogging, and cycling data, formulate a method to identify dishonest users. Specify the metrics you would analyze and the statistical methods you would use to detect athletic anomalies indicative of cheating.

• Develop a function str_map to determine if a one-to-one correspondence exists between characters of two strings at the same positions. Given two strings, string1, and string2, write a function str_map to determine if there exists a one-to-one correspondence (bijection) between the characters of string1 and string2.

• Build a logistic regression model from scratch using gradient descent and log-likelihood as the loss function. Create a logistic regression model from scratch without an intercept term. Use basic gradient descent (with Newton's method) for optimization and the log-likelihood as the loss function. Do not include a penalty term. You may use numpy and pandas but not scikit-learn. Return the parameters of the regression.

• Why are job applications decreasing despite stable job postings? You are analyzing a job board where the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. What could be the reasons for this trend?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook informs you that friend requests have decreased by 10%. What steps would you take to investigate and address this issue?

• How would you assess the validity of an AB test result with a .04 p-value? Your company is running an AB test on a feature to increase conversion rates on the landing page. The PM reports a p-value of .04. How would you evaluate the validity of this result?

• How would you analyze the performance of a new LinkedIn feature without an AB test? LinkedIn has launched a feature allowing candidates to message hiring managers directly during the interview process. Due to engineering constraints, an AB test was not conducted. How would you analyze the feature's performance?

• Should Square hire a customer success manager or offer a free trial for a new product? You are in charge of Square's small business division. The CEO wants to hire a customer success manager for a new software product, while another executive suggests offering a free trial instead. What would be your recommendation?

• How would you build a fraud detection model using a dataset of 600,000 credit card transactions? Imagine you work at a major credit card company and are given a dataset of 600,000 credit card transactions. Describe your approach to building a fraud detection model.

• How would you interpret coefficients of logistic regression for categorical and boolean variables? Explain how to interpret the coefficients of logistic regression when dealing with categorical and boolean variables.

• How would you tackle multicollinearity in multiple linear regression? Describe the methods you would use to address multicollinearity in a multiple linear regression model.

• How would you design a facial recognition system for employee clock-in and secure access? You work as an ML engineer for a large company that wants to implement a facial recognition system for employee clock-in, clock-out, and access to secure systems, including temporary contract consultants. How would you design this system?

• How would you handle data preparation for building a machine learning model using imbalanced data? Explain the steps you would take to prepare data for building a machine learning model when dealing with imbalanced data.

Ready to take your career to new heights? Discover why Cooper University Health Care is the premier employer of choice in South Jersey. We are committed to providing extraordinary health care and innovative solutions, offering a dynamic and nurturing environment where professionals can thrive. Whether you are advancing operational excellence, optimizing systems, or collaborating across diverse roles, Cooper provides an inspiring platform for career growth and development.

If you want more insights about the company, check out our main Cooper University Health Care Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as IT Product Manager and Software Engineer, where you can learn more about Cooper University Health Care's interview process for different positions.

At Interview Query, we empower you to unlock your interview prowess with a comprehensive toolkit, equipping you with the knowledge, confidence, and strategic guidance to conquer every Cooper University Health Care interview question and challenge.

You can check out all our company interview guides for better preparation, and if you have any questions, don’t hesitate to reach out to us.

Good luck with your interview!