Senior Product Manager, Data / ML

Mentimeter is an engagement tool with a clear goal in mind. To make every leader better. 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 insights and impactful 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.

​ 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.

• 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 failure modes, set quality

bars, guard against feedback loops that reinforce errors, and roll back cleanly when the model is wrong.

• Make pragmatic

calls on when to reach for ML, GenAI or something simpler, proving value before scaling.

What we're

looking for​ An experienced data / AI product leader​

• Several years leading

data-driven or ML-backed products end to end, from discovery through rollout, ideally in B2B SaaS.

• Experience with

recommendation engines or similar ranking and personalization systems is highly relevant, and familiarity with AI ecosystems and

integration patterns such as MCP is a bonus.

You build the data system, not just the surface​

• You've shipped data or AI products where the core value is the system itself, and you're comfortable reasoning about

pipelines, models, and how data compounds over time.

• You've led shared-capability or platform work where the real win was

adoption and alignment across teams, not just shipping features.

Commercially minded and

outcome-driven​

• You connect product decisions to business outcomes like retention, expansion and durable

engagement, and treat data and ML as how you get there, not the point in itself.

• You have a bias for the simplest

solution that works, you resist over-engineering, and you have good judgment on when advanced ML or GenAI is worth the

trade-off.

Rigorous and AI-native​

• Strong on experimentation, with real fluency in

A/B testing, incrementality and causal inference.

• Fluent in shipping AI responsibly and well: eval sets, failure modes,

and a clear sense of what "good enough" looks like before something goes live.

A leader who multiplies

others​

• You lead through influence and coaching, make progress in ambiguity through iterative learning and

clear decision points, and bring out the best in the people around you.

Not sure you meet 100% of our

qualifications? Please apply anyway and let us know why you'd enjoy working in this role at Mentimeter.

Practical details​

• This role is based in our Stockholm office, primarily onsite with the option

to work from home twice per week.

• Swedish is not required. Daily work is carried out in English, and the Mentimeter team

currently boasts 50+ nationalities.

• A cover letter is not required as part of your application.

At Mentimeter, we believe in fair and transparent compensation that grows with you.

The salary range for this role is SEK 70,000–SEK 91,000 per month. It’s intentionally broad to reflect the different stages of

growth within the role: from early development to deep expertise and meaningful impact.

Where an individual is

placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s

requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your

salary will evolve as you build skills and contribute to our mission.

In addition to your monthly salary, we offer

a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm.

What Mentimeter can offer

​At Mentimeter we can offer a diverse and inclusive

work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our

colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure

that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing

company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about

work though, we also offer a very healthy view on work-life balance.

All of this comes attached with a competitive

compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page

AI and Hiring at Mentimeter​

At Mentimeter, we believe AI helps us work smarter - but it

never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a

sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning,

decisions, and interactions always come from people.

AI does not screen or decide on candidates.

There is no automated filtering, ranking, or decision-making in our recruitment process. Every

application is reviewed by a person.

Hiring teams may use AI to

support their work - for example, to structure notes, prepare interview questions, or organize their thinking.

AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven

hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together.

Culture at Mentimeter

​At Mentimeter we believe in giving everyone a voice - regardless of who you are. So

we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people

feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of

color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly

required. In order to give everyone a voice, we need to be as diverse as our users.

Learn more about our culture by

visiting our Culture page.

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