Senior Algo Product Manager - job 1 of 2

As a Senior Algo Product Manager at Via, you will oversee the entire product lifecycle for algorithms, routing, and machine learning systems. This includes leading the product from ideation to launch, developing strategic roadmaps based on customer feedback and data, and ensuring collaboration with various stakeholders to prioritize impactful features.

To apply for the Senior Algo Product Manager role at Via, candidates should have a minimum of 6 years of Product Management experience, preferably with B2C or B2B SaaS products. Familiarity with algorithms and machine learning is crucial, along with a strong technical background and experience leading cross-functional teams.

Via is dedicated to personal and professional growth, especially for Senior Algo Product Managers. Employees have access to training resources, mentorship programs, and opportunities to take on challenging projects that enhance their skills and career trajectory within the company.

At Via, the work environment is dynamic and fast-paced, perfect for Senior Algo Product Managers who thrive under pressure. You will have the chance to balance the delivery of Minimum Viable Products (MVPs) with the goal of creating world-class solutions, all while collaborating with diverse teams.

Via values diversity and inclusion and prides itself on creating an authentic workplace. As a Senior Algo Product Manager, you will work in an environment that celebrates all backgrounds and perspectives, ensuring everyone feels welcome and valued.

To effectively answer this, discuss your method of gathering customer feedback, analyzing data trends, and aligning features with strategic company goals. Emphasize your collaborative approach with stakeholders to ensure priority features deliver maximum impact.

Provide a clear example where you successfully guided a cross-functional team towards a challenging situation. Detail your leadership style, communication tactics, and the eventual outcome, showcasing your ability to drive collaboration and innovation.

Discuss specific projects where you utilized machine learning in product development. Highlight your understanding of algorithms and how that knowledge can directly contribute to the success of Via’s offerings in the transportation tech space.

Talk through your approach to product lifecycle management, focusing on phases such as ideation, development, and launch. Share your insights on which phases you consider critical and how you ensure each stage is executed effectively.

Explain your techniques for gathering user feedback and conducting usability testing. Emphasize how you integrate these insights into product development to enhance user experience, particularly in the context of algorithms and routing.

Discuss your strategies for maintaining a balance between rapid MVP delivery while ensuring that quality isn’t compromised. Highlight your experience in agile methodologies and iterative development processes in your past roles.

Provide a thorough explanation of your feedback collection process, whether through surveys, user testing, or data analytics. Share examples of how you’ve successfully integrated this feedback into product iterations to enhance functionality.

Reflect on a particular instance where you faced a tough decision. Detail the context, thought process, and outcome. This will demonstrate your critical thinking skills and ability to navigate complexity in a product management role.

Illustrate the key performance indicators (KPIs) you typically track, such as user engagement, retention rates, and revenue growth. Explain how these metrics influence your product strategy and decision-making processes.

This question is your opportunity to align your expertise and experiences with Via’s mission and values. Highlight your relevant accomplishments and how they resonate with Via’s goals, particularly in transforming transportation through innovative solutions.