Sr. Product Manager

As a Senior Product Manager, your main responsibilities will include defining and driving the product vision and roadmap for data infrastructure, collaborating with data engineering and analytics teams, translating business needs into actionable product requirements, and evaluating performance metrics to improve data platform capabilities. You'll also ensure that data quality and compliance needs are met throughout the product lifecycle.

To excel as a Senior Product Manager at Weekday’s client, you should possess strong analytical and problem-solving skills, excellent communication abilities, and a solid understanding of data engineering concepts. Familiarity with modern data stack technologies such as Snowflake, Airflow, and real-time data streaming is vital, alongside a technical background and experience in agile environments.

The Senior Product Manager role at Weekday’s client requires a minimum of 5 years of experience in product management, with a strong emphasis on data products or data platforms. This experience allows you to bring the necessary knowledge and skills to lead data-driven initiatives effectively.

You can expect a dynamic and collaborative work environment where you’ll partner with cross-functional teams including engineering, analytics, and data science. The work culture values innovation, encourages open communication, and fosters a commitment to high-quality data governance and compliance.

Yes, a technical background is considered a strong plus for the Senior Product Manager role at Weekday’s client. A degree in Computer Science, Engineering, or a related field will help you navigate conversations surrounding technical trade-offs and understand the data technologies used to deliver robust data solutions.

In answering this question, focus on specific data engineering technologies you've worked with, such as ETL/ELT processes, data lakes, or tools like Spark and Kafka. Tailor your response to explain how you integrated these technologies into product strategies and how they influenced product outcomes.

Discuss your approach to balancing customer impact, business value, and technical feasibility. Highlight any frameworks or methodologies you use to evaluate feature requests and how you facilitate discussions with stakeholders to ensure alignment on priorities.

Identify key performance indicators specific to data products, such as data accuracy, user engagement levels, or the speed of data processing. Explain how you've utilized these metrics in previous roles to make informed decisions about product iterations or enhancements.

Provide a specific example where you brought together various departments to achieve a common goal. Highlight your leadership style, how you navigated challenges, and the ultimate impact of the collaboration on the product or the business.

Detail the processes you've implemented to maintain data governance, compliance, and quality assurance throughout the product lifecycle. Discuss your collaboration with legal or compliance teams to address privacy requirements and auditing processes.

Discuss your methods for gathering requirements, such as conducting stakeholder interviews or using user stories and acceptance criteria. Emphasize your ability to distill complex business needs into actionable product specifications.

Share your strategies for keeping abreast of industry trends, such as following influential thought leaders, participating in webinars, or attending conferences. Mention specific sources or communities you engage with actively in the data engineering space.

Provide an example of a particularly demanding product lifecycle and the strategies you employed to manage your team, navigate setbacks, and maintain project momentum. Highlight how your management skills contributed to the product's eventual success.

Explain your approach to fostering open communication across teams, such as holding regular stand-up meetings, using collaborative tools, or creating a shared vision document. Stress the importance of transparency and alignment in achieving project objectives.

Discuss how you integrate customer feedback into the product development process. Emphasize your methods for collecting, analyzing, and acting upon feedback to refine features and improve the overall user experience.