Senior Product Manager, Data / ML

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. Summer hiring notice: Due to summer vacations, we will begin the reviewing and interviewing process for this role from August. However, we encourage you to submit your application as soon as possible. About the role AI is changing how people create and consume content, and the Insights product area is where Mentimeter turns that shift into an advantage rather than something we retrofit later. It's the area that decides what every one of our users sees, learns and does next, to turn data into something valuable enough to come back for, and in turn drive retention and expansion for our business. As Senior Product Manager, Data / ML, you'll own the data and ML depth of Insights: the intelligence that turns every interaction into sharper results, insights and recommendations, pulls in context from inside and outside Mentimeter, and gets better the more it's used. With 300 million users' worth of interaction data behind it, the mandate is to turn that into a defensible asset. The data and ML is the means; a system that drives measurable outcomes for users and the business is the end. This is a senior, hands-on role with a clear mandate. You'll report to the Product Director of Insights: the Director owns the area's place in company strategy and its org shape, while you own the data and ML depth that delivers it. You'll work alongside the other product managers in the area, our Staff Engineers, our Science Lead, the Office of the CTO, and our data platform teams. The exact shape of the teams is still forming, and you'll help shape it. In your first year, success looks like a clear direction the area is bought into, and the first solid evidence that the system is compounding. What you'll do Own the data and ML direction Set the data and ML direction for the area and get alignment behind it across product, engineering and leadership. Turn raw interaction data into immediately useful, actionable insight for users, at the individual level and aggregated up to the organization, measured by whether people come back and act on it. Keep recommendations grounded in science, not just patterns in the data, working closely with our Science Lead to keep what we surface credible and defensible. Build the intelligence platform, for UI and agents Own the platform that generates insights and recommendations: opinionated, grounded in our thought leadership, and built so the rest of the suite can build on top of it. Make that intelligence usable two ways at once, surfaced directly in Mentimeter's UI and exposed so our AI companion and external agents can act on it, with a clean separation between the logic and context layer and the experience layer. Build the ranking and timing that gets the right insight to the right user at the right moment, getting sharper from what lands. Partner with Staff Engineers on the architecture and technical bets: you bring the product judgment and the outcomes the system must serve, they own the technical design. Make it learn, and prove it Define the measurement and experimentation standards the area scales by, so we only scale what shows durable lift against a strong baseline. Show, with evidence, how the system's insights and recommendations get sharper over time as it learns from feedback, for example through reinforcement learning. Own how we ship AI well: anticipate fa…