Senior Product Manager, AI

As a Senior Product Manager, AI at BetterUp, you'll be responsible for understanding customer needs and delivering AI products that truly resonate. Your role includes overseeing product vision and strategy, managing projects with keen attention to detail, collaborating across teams to achieve high-quality outcomes, and presenting our AI capabilities to clients. You'll also mentor fellow team members and partner with marketing to develop impactful materials. The impact you create will define the future of coaching at BetterUp.

To be successful as a Senior Product Manager, AI at BetterUp, candidates should have 5+ years of product management experience, particularly with high-use enterprise products. Familiarity with AI technologies and developing innovative solutions is crucial. Strong leadership, project management skills, and the ability to make data-informed decisions are essential. Excellent communication and interpersonal skills are also necessary to thrive in our collaborative environment.

At BetterUp, the application process for the Senior Product Manager, AI position is designed to be friendly and engaging. It begins with submitting your resume along with a tailored cover letter that showcases your unique skills and experiences. If selected, you will participate in interviews that delve into your product management experience, your passion for AI, and your ability to collaborate effectively. We aim to create a candidate experience that reflects our culture of empathy and support.

The work culture at BetterUp is centered around support, innovation, and teamwork. As a Senior Product Manager, AI, you'll be part of a dynamic environment that values continuous improvement and collaboration. We celebrate individual contributions while nurturing a sense of belonging and community. You’ll have access to resources like personal coaching and flexible time off to ensure your work-life balance. It's a place for those eager to learn and make a difference in the world of coaching.

BetterUp offers an attractive benefits package to ensure all employees are well-taken care of. As a Senior Product Manager, AI, you can expect competitive compensation, medical, dental, and vision insurance, flexible paid time off, and access to BetterUp coaching for personal and professional growth. Additional perks include volunteering days, learning stipends, and opportunities for advancement, all designed to support your well-being and career trajectory.

When prioritizing product features, it's important to align each feature with customer needs and overall product strategy. I start by collecting data through customer feedback, market research, and analytics. Then, I collaborate with cross-functional teams to weigh the value each feature brings against the required resources and timelines. By using frameworks like RICE (Reach, Impact, Confidence, Effort), I can objectively assess priorities, ensuring we focus on features that deliver the maximum value.

In a previous role, I led a team that was developing an AI tool for customer support. I initiated a series of workshops to align our vision with customer pain points, allowing us to craft a strategic roadmap. By regularly engaging stakeholders and soliciting iterative feedback, we adapted our strategy in real-time and ultimately launched a product that exceeded adoption metrics and reduced support ticket resolution time significantly.

Leading cross-functional teams requires open communication and a clear alignment of goals. I ensure everyone understands the product vision by hosting regular check-ins and utilizing project management tools for transparency. By fostering a collaborative atmosphere where team members feel comfortable sharing ideas, we create innovative solutions that drive success. I also prioritize celebrating milestones to maintain morale and engagement throughout the project.

Absolutely! I once managed the development of a generative AI tool designed to optimize content recommendations. It began with extensive user research to understand the preferences of our target audience. I collaborated with engineers to develop algorithms that catered to those insights. By running A/B tests and analyzing user engagement metrics, we refined the product, ultimately seeing a 30% increase in user interactions within three months of launch.

Making data-informed decisions involves a combination of quantitative and qualitative data analysis. I regularly track KPIs that correlate with our product objectives. When making decisions, I look at user behavior analytics, feedback surveys, and market dynamics. This holistic approach allows me to make informed choices that support the product vision while also addressing customer needs and expectations.

Evaluating trade-offs in product development requires assessing both immediate and long-term impacts. I analyze factors like user value, development cost, and alignment with overall business goals. By consulting with my team and considering user feedback, I can identify the best path forward. It’s crucial to remain flexible and willing to adapt as new information surfaces throughout the development cycle.

Customer feedback is invaluable, especially for AI products. I take a structured approach by categorizing feedback into actionable insights, such as requested features or usability issues. I prioritize these insights based on their frequency and the impact they could have on user experience. Regular follow-ups with customers are also essential to communicate how their feedback is being utilized, which builds trust and demonstrates our commitment to continuous improvement.

Effective communication of product updates to stakeholders involves clarity, consistency, and relevance. I create structured update reports outlining key achievements, next steps, and any potential hurdles. I also personalize communications based on the audience; executives may need high-level insights, while team members will benefit from more detailed information. Regular meetings and open-door policies encourage ongoing dialogue, ensuring everyone remains aligned with product developments.

Post-launch evaluation of an AI product hinges on the initial goals set in the product roadmap. I assess success using predetermined KPIs such as user engagement metrics, retention rates, and customer satisfaction scores. By monitoring these indicators over time, I can identify strengths and areas for improvement. Additionally, gathering qualitative feedback through user interviews or surveys provides deeper insights into the product's performance in real-world scenarios.

As a Senior Product Manager, AI, my motivation comes from the opportunity to create impactful products that enhance user experiences and contribute to meaningful outcomes. I thrive in collaborative environments where I can support cross-functional teams in turning innovative ideas into reality. The challenge of navigating the rapidly evolving AI landscape and applying my skills to solve complex problems energizes me, as I believe in the positive potential of technology-driven solutions.