Senior Product Manager

As a Senior Product Manager at January AI, you will oversee the entire product lifecycle, from initial research and prototyping to quality assurance and final release. You'll be responsible for setting the strategic product roadmap over the next 3, 6, and 12 months, ensuring alignment with both customer needs and market trends. Additionally, you will articulate the product vision to stakeholders and partners, driving initiatives that enhance customer retention and optimize user experiences.

To be considered for the Senior Product Manager position at January AI, candidates should have a minimum of 5 years of product management experience, particularly in launching consumer products from the ground up. A strong background in using analytics to guide product direction is crucial, along with experience in collaborating with engineering and design teams. A degree in Biology, Medicine, Computer Science, or a related technical discipline is preferred, and familiarity with machine learning or AI technologies is a plus.

The Senior Product Manager at January AI plays a vital role in realizing our mission to empower individuals with personalized health insights. By defining and optimizing our product offerings, you ensure that our users have access to impactful features that help them understand their metabolic health. Your leadership will directly influence how effectively our app can provide valuable recommendations, helping users make informed choices about their diets and lifestyles.

January AI fosters a positive and collaborative company culture where inclusivity and innovation thrive. As a Senior Product Manager, you'll be part of a diverse team that values open communication and teamwork. We work in a fast-paced startup environment that encourages creative problem-solving and supports each member's growth. Your contributions will be recognized, and your voice will be valued as we tackle the significant challenges of health management together.

At January AI, Senior Product Managers enjoy a competitive salary and equity packages, along with a comprehensive benefits program that includes health, dental, and vision insurance. We also offer 401k with corporate matching and commuter benefits. Our team is dedicated to ensuring a healthy work-life balance while providing the tools and resources necessary for professional development and personal well-being.

To effectively prioritize features for a new product at January AI, I would start by gathering user feedback and analyzing market trends. Creating a framework that weighs user needs, business goals, and technical feasibility would help streamline decisions. Collaborating with stakeholders to align on priorities ensures that the most impactful features make it to development first, ultimately enhancing user engagement and satisfaction.

In my previous role, I launched a consumer health app that focused on dietary tracking. I led the product team through each phase, from the ideation process and user research to the final rollout. By ensuring open communication among engineering, design, and marketing, we delivered a product that exceeded user expectations and saw a 30% increase in active users within the first quarter.

For a product at January AI, essential metrics to track would include user engagement rates, customer retention, feature usage statistics, and feedback from usability studies. These metrics provide critical insights into user behavior and satisfaction, allowing for data-driven decisions that enhance product functionality and overall experience.

When disagreements arise with stakeholders over product features, I prioritize open dialogue to understand different perspectives fully. By presenting user data and research to support proposed features, I aim to create a collaborative environment. It's important to listen actively and, when necessary, compromise to align on a solution that prioritizes user needs while balancing business objectives.

I have extensive experience implementing agile methodologies in product management. I have led cross-functional teams through sprint planning, daily stand-ups, and retrospectives, ensuring that our processes remain adaptable to evolving project scopes. This flexibility helps maintain team momentum and ensures continuous delivery of value to our users.

To ensure user needs are met in product development, I actively involve users throughout the process. Conducting interviews, surveys, and usability testing allows me to gather direct feedback and iterate on features based on real-world experiences. Additionally, creating user personas helps keep the focus on target audiences and their specific needs during development.

To communicate product vision effectively to my team, I start by breaking it down into clear, relatable components that tie back to user benefits. Hosting regular meetings and utilizing visual aids, such as roadmaps and presentations, helps everyone stay aligned. I encourage questions and discussions to foster a shared understanding of our goals and ensure team members feel invested in the vision.

Once, a product I managed was not meeting initial performance expectations due to unforeseen market changes. We conducted a thorough analysis, which led to a strategic pivot focusing on a different target demographic. This experience taught me the importance of agility and maintaining a user-centered approach. Listening to feedback and being willing to adapt are crucial for staying relevant.

Measuring post-launch product success involves analyzing a combination of quantitative metrics, like sales volume and user engagement, and qualitative feedback from users. Setting KPIs before launch helps gauge effectiveness, while ongoing evaluations based on user satisfaction surveys provide critical insights for future iterations or enhancements.

My approach to integrating user feedback involves establishing feedback loops both pre-launch and post-launch. Collecting user insights through interviews and usability testing informs initial development. After launch, I analyze user data and conduct follow-up surveys to gauge satisfaction, ensuring that feedback is actively considered in subsequent iterations, ultimately aligning the product more closely with user expectations.