Revenue Operations Engineer

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. The role We're building a Revenue Operations function where AI, automation and systems design are the core of how we scale. Not as a layer on top of how we work, but as the way we work: systems handle what can be systematised, so our reps spend their time on what only people can do, building relationships, reading a room, making the judgement call. This role sits at the centre of that. It is a full-stack internal product role. Your users are our Enterprise GTM reps and leaders; your job is to understand how they work, find where friction or guesswork slows them down, and solve it with tailored, proactive solutions. That means designing how our revenue stack connects, embedding AI into live revenue workflows, and shaping the role-specific surfaces our teams work from. You own how it's architected, how it's automated, and how it evolves as the business does. You'll sit in the RevTech & Ops team within Revenue Operations, reporting to the RevTech & Operations Director, and work day-to-day with Sales, Marketing, CS and Analytics. You treat "can this be automated?" as the first question, not the last. You care as much about whether we're solving the right problem as about how it's solved, which means understanding how a sales person actually spends their day. And you'd rather ship a working v1 this week than a perfect design next quarter.You decide how things should be built, build a lot of it yourself, and leave behind architecture someone else can read and extend. What you'll do - Build internal tools. Design, build and maintain the role-specific UI our Enterprise reps and leaders work in every day. Connect it to the full revenue stack, iterate with the people using it, and keep it fast and reliable as the business changes. - Remove manual work from GTM roles. Find the repetitive work in revenue teams and automate it with n8n, Clay, CRM automation and AI where it earns its place. Set the automation principles so what you build stays maintainable. - Own the architecture. Keep the revenue toolstack (sales and marketing) healthy: data models, routing logic, account recycling, activity tracking, invoice objects and the automation between them. Fix what breaks, and design so it breaks less. - Connect the systems. Build and maintain integrations across the stack via APIs so data moves cleanly and reliably. - Guard the data. Set governance standards, ownership, definitions, structure, compliance, so reporting stays trustworthy as the stack grows. - Shape what's next. Assess new tools and architectural changes and lead the complex ones: toolstack replacements, lifecycle redesigns, projects where the outcome is known but the path isn't. - Work like a modern engineer / builder. Understand logic and dependencies. Use Cursor, Claude code, Vercel and GitHub to scale your own output. What success looks like The metric this role moves is ARR / Cost of GTM. In practice: reps spending their time in one place instead of six, fewer hours of manual work in GTM roles, fewer break-fixes, integrations that works, and data people trust without double-checking. What you bring - 3+ years in RevOps, Engineering, GTM systems or a similar role with real technical depth - Hands-on experience with a CRM system (e.g. Salesforce, HubSpot): architecture, automation, objects, reporting - A good understanding of APIs, webhooks, git and system integrations - A current grasp of what agentic AI can and can't do today, and the curiosity to keep up - High business understanding: you can tell a real problem from a loud one and prioritise accordingly - Systems thinking: you care about clean architecture and long-term maintainability, not just getting it working - A strong bias toward execution: proactive, action-oriented, builder's hat on by default Strong candidates may also have - An engineering background and/or built internal tools for operational teams - Experience in a Sales or Marketing role, so you know what the people using your work actually need - Managed a sales tool stack and its integrations end to end - Driven a toolstack replacement or large-scale CRM re-architecture - Experience with context engineering, building and maintaining agentic harnesses and guardrails Why this role matters Every revenue team at Mentimeter depends on systems that work without them thinking about it. This role is what makes that true — and increasingly, it's what our reps will open first every morning. Get it right and we grow the business without growing operational friction at the same rate. Compensation at Mentimeter At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is 55–64,000 SEK per month. The range reflects where you are within this stage of the role: your relevant experience, demonstrated skills, and alignment with what the role requires. As you develop and take on more, your salary and level evolve with you. 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. Review our Privacy Policy for more information.