Product Manager, Analytics

As a Product Manager, Analytics at Rad AI, your responsibilities will include conceptualizing and executing key analytical features across our product lines, defining analytics priorities based on data and insights, and orchestrating the timelines for product analytics. You’ll collaborate with users and stakeholders to enhance product strategies, manage the product roadmap, and analyze product success metrics for internal and external communication.

Rad AI seeks candidates for the Product Manager, Analytics position who have at least 2 years of experience in analytics-based product management, preferably within healthcare or an NLP/Machine Learning context. A strong technical background, exceptional communication skills, and the ability to influence cross-functional stakeholders without direct authority are essential. A passion for analytics and improving healthcare quality through innovative products is a huge plus!

At Rad AI, we are committed to your professional development! As a Product Manager, Analytics, you will work closely with our VP of Product and esteemed product managers who will serve as your mentors. We foster a collaborative environment where continuous learning is encouraged, providing opportunities to expand your skills and influence in shaping impactful healthcare solutions.

Joining Rad AI means stepping into a mission-driven environment that prioritizes transparency, inclusion, and teamwork. Our culture is centered around close collaboration where every voice is valued. You will work with talented individuals who are deeply committed to transforming healthcare through AI, sharing ideas freely and supporting each other to achieve our common goals.

Rad AI offers a comprehensive benefits package for the Product Manager, Analytics role, including medical, dental, and vision insurance, a 401(k) plan, and a flexible remote-first work model. You'll also enjoy generous paid time off, including 11 holidays, and unique team-building events, along with an annual equipment stipend to ensure you have everything needed to thrive in your role!

When answering this question, highlight your specific roles and achievements related to analytics product management. Illustrate your analytical mindset by discussing the tools you used for product analytics and any significant results your work achieved, particularly in terms of user satisfaction or product enhancements.

Explain your approach to prioritization. Discuss how you utilize user data, market trends, and stakeholder feedback to assess the impact of potential features. Providing a specific example of how your prioritization led to a successful product enhancement will strengthen your answer.

Demonstrate your communication skills by outlining methods you’ve employed, such as simplifying data visualizations, utilizing narratives that connect data to user experience, and tailoring your message to suit your audience's knowledge level. Share an example that showcases your ability to convey such information effectively.

Discuss your steps for fostering collaboration among diverse teams. Highlight your people skills and provide examples where you successfully influenced key decisions or led projects involving engineering, marketing, and user experience teams to reinforce your ability in creating synergy.

Outline the criteria and key performance indicators (KPIs) you focus on when evaluating product success. Discuss your familiarity with user engagement metrics, customer satisfaction scores, and how these can influence future product decisions to underscore your analytical proficiency.

Share a detailed story of a specific project that involved complex data analysis and highlights the challenges you faced. Emphasize your problem-solving skills, how you oversaw the project from conception to execution, and the results it generated to demonstrate your capabilities.

Convey your adaptability and strategic mindset by discussing your methods for assessing the impact of scope changes. Illustrate how you kept stakeholders aligned, adjusted timelines or resources accordingly, and communicated changes to the entire team effectively.

Discuss current trends such as the increased use of AI in diagnostics, data privacy regulations, and evolving user needs in healthcare. Your understanding of the industry landscape shows your analytical foresight and suitability for the Product Manager, Analytics role.

Explain your process of gathering and analyzing user feedback, whether through surveys, user testing, or direct communication. Provide an example of how implementing user feedback led to a more successful product launch to showcase your commitment to user-centric design.

List tools and software you're proficient in, such as Google Analytics, Tableau, or specific user testing platforms. Discuss how you effectively utilized these tools to drive insights and improvements in product development to reflect your technical expertise.