Zilliant powers intelligent B2B commerce with industry-leading price optimization and sales guidance software. Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. If you’re ready to make an impact at a growing company that values the time, input, and effort of each of its employees, we’re eager to connect with you!

Zilliant is looking for a Senior Product Manager to join our Platform Product Management team, focused on driving our price execution capabilities. In this role, you will be responsible for delivering the right prices via the right channel at the right time. You will define a 6-12 month roadmap aligned with the broader product and go-to-market strategy, ensuring successful delivery working with UX, Engineering, and other teams. Experience with high-scale, performant APIs will be crucial.

Discover more insights about the Zilliant interview process on Interview Query.

Submitting Your Application

The first step is to submit a compelling application that reflects your technical skills and interest in joining Zilliant as a Senior Product Manager. Whether you were contacted by a Zilliant 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 Zilliant 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 Zilliant hiring manager may also be present during the screening round to answer your queries about the role and the company itself. They may also engage 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 Zilliant 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 Zilliant’s data systems, high-scale API performance, and roadmapping strategies.

In the case of product management roles, case studies regarding product strategy, customer needs, and roadmap creation are likely to be incorporated. Apart from these, your proficiency in market research, competitive intelligence, and data-driven decision-making will be assessed during the round.

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

Onsite Interview Rounds

After 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 Zilliant office. Your technical prowess, including high-scale API performance and enterprise architecture capabilities, will be evaluated against other 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 Zilliant.

Quick Tips For Zilliant Senior Product Manager Interviews

• Understand Zilliant's Products: Zilliant questions are standardized and rely heavily on situational scenarios with their products. Study Zilliant’s core products and understand how you would personally improve or test them.
• Be Data-Driven: Zilliant’s interviews assess how well you can provide business-driving insights with product management strategies. Brush up on your knowledge of data analysis, competitive intelligence, and qualitative research.
• Embody the Spirit: Zilliant at its core values innovation, customer impact, and employee effort. Practice responding to behavioral questions with answers that touch on Zilliant’s core values.

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

• Write a SQL query to select the 2nd highest salary in the engineering department. Write a SQL query to select the 2nd highest salary in the engineering department. If more than one person shares the highest salary, the query should select the next highest salary.

• Write a function to merge two sorted lists into one sorted list. Given two sorted lists, write a function to merge them into one sorted list. Bonus: Determine the time complexity.

• Create a function missing_number to find the missing number in an array. You have an array of integers, nums of length n spanning 0 to n with one missing. Write a function missing_number that returns the missing number in the array. Complexity of (O(n)) required.

• Develop a function precision_recall to calculate precision and recall metrics. Given a 2-D matrix P of predicted values and actual values, write a function precision_recall to calculate precision and recall metrics. Return the ordered pair (precision, recall).

• Write a function to search for a target value in a rotated sorted array. Suppose an array sorted in ascending order is rotated at some pivot unknown to you beforehand. Write a function to search for a target value in the array and return its index; otherwise, return -1. Bonus: Your algorithm's runtime complexity should be in the order of (O(\log n)).

• Would you suspect anything unusual about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Would you suspect anything unusual about these results?

• How would you set up an A/B test for button color and position changes? A team wants to A/B test changes in a sign-up funnel, such as changing a button from red to blue and/or moving it from the top to the bottom of the page. How would you set up this test?

• What would you do if friend requests on Facebook are down 10%? A product manager at Facebook reports that friend requests are down 10%. What steps would you take to address this issue?

• Why might job applications be decreasing despite stable job postings? You observe that the number of job postings per day has remained stable, but the number of applicants has been steadily decreasing. Why might this be happening?

• What are the drawbacks and formatting changes needed for student test score data? Assume you have data on student test scores in two different layouts. What are the drawbacks of these layouts, what formatting changes would you make for better analysis, and what are some common problems in "messy" datasets?

• Is this a fair coin? You flip a coin 10 times, and it comes up tails 8 times and heads twice. Based on this outcome, determine if the coin is fair.

• Write a function to calculate sample variance from a list of integers. Create a function that outputs the sample variance given a list of integers. Round the result to 2 decimal places. Example: Input: test_list = [6, 7, 3, 9, 10, 15] Output: get_variance(test_list) -> 13.89

• Is there anything suspicious about the A/B test results with 20 variants? Your manager ran an A/B test with 20 different variants and found one significant result. Evaluate if there is anything suspicious about these results.

• Write a function to return the median value of a list in O(1) time and space. Given a list of sorted integers where more than 50% of the list is the same repeating integer, write a function to return the median value in O(1) computational time and space. Example: Input: li = [1, 2, 2] Output: median(li) -> 2

• What are the drawbacks of the given student test score data layouts? You have data on student test scores in two different layouts. Identify the drawbacks of these layouts, suggest formatting changes for better analysis, and describe common problems in "messy" datasets.

• How would you evaluate whether using a decision tree algorithm is the correct model for predicting loan repayment? You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan. How would you evaluate if a decision tree is the right choice, and how would you assess its performance before and after deployment?

• How does random forest generate the forest and why use it over logistic regression? Explain the process by which a random forest generates its ensemble of trees. Additionally, discuss the advantages of using random forest over logistic regression.

• When would you use a bagging algorithm versus a boosting algorithm? Compare two machine learning algorithms. Describe scenarios where you would prefer a bagging algorithm over a boosting algorithm, and discuss the tradeoffs between the two.

• How would you justify using a neural network model and explain its predictions to non-technical stakeholders? Your manager asks you to build a neural network model to solve a business problem. How would you justify the complexity of this model and explain its predictions to non-technical stakeholders?

• What metrics would you use to track the accuracy and validity of a spam classifier? You are tasked with building a spam classifier for emails and have completed a V1 of the model. What metrics would you use to evaluate the model's accuracy and validity?

What is the average salary for a Product Manager at Zilliant?

Q: What does Zilliant do?

Zilliant powers intelligent B2B commerce with our industry-leading price optimization and sales guidance software. We deliver the highest ROI, fastest time to value, and highest customer satisfaction through our data science, cloud-native software, and passion for customer success.

Q: What will I be doing as a Senior Product Manager at Zilliant?

You will define top-level product strategy for our price execution capabilities, create and curate a 6-12 month roadmap supported by research and data insights, and communicate and evangelize the roadmap to internal and external stakeholders. You will work directly with UX, Engineering, and other teams to ensure successful product delivery.

Q: What qualifications are necessary for the Senior Product Manager role?

You need at least 5+ years of experience building enterprise SaaS products as a Product Manager or equivalent, 3+ years working with Data and Data Platform focused products, and strong technical acumen. Experience with AWS, SQL Server, Snowflake, Databricks, and similar tools is a plus.

Q: What makes Zilliant's work culture unique?

Zilliant values the time, input, and effort of each of its employees. We offer a full benefits package, generous Paid Time Off (PTO), Monthly Zilliant Zen Days for rest and recharge, comprehensive parental leave, and the financial backing of Madison Dearborn Partners (MDP). We foster an environment of diversity, equality, and inclusion.

Q: How can I prepare for the interview at Zilliant?

To prepare for your interview, research the company thoroughly, practice common interview questions, and review your technical skills. Make sure to discuss your past experiences and how they align with the responsibilities listed for the Senior Product Manager role. Utilize Interview Query to practice and sharpen your interview skills further.

If you want more insights about the company, check out our main Zilliant Interview Guide, where we have covered many interview questions that could be asked. We’ve also created interview guides for other roles, such as software engineer and data analyst, where you can learn more about Zilliant’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 Zilliant Product Manager 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!